I0622 17:45:44.468811   991 caffe.cpp:680] This is NVCaffe 0.17.0 started at Fri Jun 22 17:45:44 2018
I0622 17:45:44.468955   991 caffe.cpp:682] CuDNN version: 7102
I0622 17:45:44.468961   991 caffe.cpp:683] CuBLAS version: 9000
I0622 17:45:44.468964   991 caffe.cpp:684] CUDA version: 9000
I0622 17:45:44.468968   991 caffe.cpp:685] CUDA driver version: 9010
I0622 17:45:44.468973   991 caffe.cpp:686] Arguments:
[0]: /usr/local/bin/caffe
[1]: train
[2]: --solver=/workspace/jobs/20180622-174542-5159/solver.prototxt
[3]: --gpu=0,1
[4]: --weights=/passenger_capacity_data/bvlc_googlenet.caffemodel
I0622 17:45:44.477087   991 upgrade_proto.cpp:1044] Attempting to upgrade input file specified using deprecated 'solver_type' field (enum)': /workspace/jobs/20180622-174542-5159/solver.prototxt
I0622 17:45:44.477108   991 upgrade_proto.cpp:1051] Successfully upgraded file specified using deprecated 'solver_type' field (enum) to 'type' field (string).
W0622 17:45:44.477113   991 upgrade_proto.cpp:1053] Note that future Caffe releases will only support 'type' field (string) for a solver's type.
I0622 17:45:44.571998   991 gpu_memory.cpp:105] GPUMemory::Manager initialized
I0622 17:45:44.572396   991 gpu_memory.cpp:107] Total memory: 8513978368, Free: 6124797952, dev_info[0]: total=8513978368 free=6124797952
I0622 17:45:44.572739   991 gpu_memory.cpp:107] Total memory: 8513978368, Free: 6124797952, dev_info[1]: total=8513978368 free=8378712064
I0622 17:45:44.572746   991 caffe.cpp:222] Using GPUs 0, 1
I0622 17:45:44.573014   991 caffe.cpp:226] GPU 0: GeForce GTX 1080
I0622 17:45:44.573274   991 caffe.cpp:226] GPU 1: GeForce GTX 1080
I0622 17:45:44.573318   991 solver.cpp:40] Solver data type: FLOAT
I0622 17:45:44.578287   991 solver.cpp:43] Initializing solver from parameters:
test_iter: 5
test_interval: 73
base_lr: 0.0001
display: 9
max_iter: 7300
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 1e-06
stepsize: 2409
snapshot: 73
snapshot_prefix: "snapshot"
solver_mode: GPU
device_id: 0
net: "train_val.prototxt"
train_state {
level: 0
stage: ""
}
iter_size: 1
type: "Adam"
I0622 17:45:44.578371   991 solver.cpp:84] Creating training net from net file: train_val.prototxt
I0622 17:45:44.579313   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data
I0622 17:45:44.579321   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_label
I0622 17:45:44.579329   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_transform
I0622 17:45:44.579371   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer cluster
I0622 17:45:44.579377   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer cluster_gt
I0622 17:45:44.579382   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer score
I0622 17:45:44.579387   991 net.cpp:456] The NetState phase (0) differed from the phase (1) specified by a rule in layer mAP
I0622 17:45:44.579895   991 net.cpp:79] Initializing net from parameters:
state {
phase: TRAIN
level: 0
stage: ""
}
layer {
name: "train_data"
type: "Data"
top: "data"
include {
phase: TRAIN
}
data_param {
source: "/workspace/jobs/20180622-011243-a09d/train_db/features"
batch_size: 3
backend: LMDB
}
}
layer {
name: "train_label"
type: "Data"
top: "label"
include {
phase: TRAIN
}
data_param {
source: "/workspace/jobs/20180622-011243-a09d/train_db/labels"
batch_size: 3
backend: LMDB
}
}
layer {
name: "train_transform"
type: "DetectNetTransformation"
bottom: "data"
bottom: "label"
top: "transformed_data"
top: "transformed_label"
include {
phase: TRAIN
}
transform_param {
mean_value: 127
}
detectnet_groundtruth_param {
stride: 16
scale_cvg: 0.4
gridbox_type: GRIDBOX_MIN
min_cvg_len: 20
coverage_type: RECTANGULAR
image_size_x: 1248
image_size_y: 384
obj_norm: true
crop_bboxes: true
object_class {
src: 1
dst: 0
}
}
detectnet_augmentation_param {
crop_prob: 1
shift_x: 32
shift_y: 32
scale_prob: 0.4
scale_min: 0.8
scale_max: 1.2
flip_prob: 0.5
rotation_prob: 0
max_rotate_degree: 5
hue_rotation_prob: 0.8
hue_rotation: 30
desaturation_prob: 0.8
desaturation_max: 0.8
}
}
layer {
name: "slice-label"
type: "Slice"
bottom: "transformed_label"
top: "foreground-label"
top: "bbox-label"
top: "size-label"
top: "obj-label"
top: "coverage-label"
slice_param {
slice_dim: 1
slice_point: 1
slice_point: 5
slice_point: 7
slice_point: 8
}
}
layer {
name: "coverage-block"
type: "Concat"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
top: "coverage-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "size-block"
type: "Concat"
bottom: "size-label"
bottom: "size-label"
top: "size-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "obj-block"
type: "Concat"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
top: "obj-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "bb-label-norm"
type: "Eltwise"
bottom: "bbox-label"
bottom: "size-block"
top: "bbox-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "bb-obj-norm"
type: "Eltwise"
bottom: "bbox-label-norm"
bottom: "obj-block"
top: "bbox-obj-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "conv1/7x7_s2"
type: "Convolution"
bottom: "transformed_data"
top: "conv1/7x7_s2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv1/relu_7x7"
type: "ReLU"
bottom: "conv1/7x7_s2"
top: "conv1/7x7_s2"
}
layer {
name: "pool1/3x3_s2"
type: "Pooling"
bottom: "conv1/7x7_s2"
top: "pool1/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "pool1/norm1"
type: "LRN"
bottom: "pool1/3x3_s2"
top: "pool1/norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2/3x3_reduce"
type: "Convolution"
bottom: "pool1/norm1"
top: "conv2/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3_reduce"
type: "ReLU"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3_reduce"
}
layer {
name: "conv2/3x3"
type: "Convolution"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3"
type: "ReLU"
bottom: "conv2/3x3"
top: "conv2/3x3"
}
layer {
name: "conv2/norm2"
type: "LRN"
bottom: "conv2/3x3"
top: "conv2/norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "pool2/3x3_s2"
type: "Pooling"
bottom: "conv2/norm2"
top: "pool2/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_3a/1x1"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_1x1"
type: "ReLU"
bottom: "inception_3a/1x1"
top: "inception_3a/1x1"
}
layer {
name: "inception_3a/3x3_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3_reduce"
}
layer {
name: "inception_3a/3x3"
type: "Convolution"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3"
type: "ReLU"
bottom: "inception_3a/3x3"
top: "inception_3a/3x3"
}
layer {
name: "inception_3a/5x5_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5_reduce"
}
layer {
name: "inception_3a/5x5"
type: "Convolution"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5"
type: "ReLU"
bottom: "inception_3a/5x5"
top: "inception_3a/5x5"
}
layer {
name: "inception_3a/pool"
type: "Pooling"
bottom: "pool2/3x3_s2"
top: "inception_3a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3a/pool_proj"
type: "Convolution"
bottom: "inception_3a/pool"
top: "inception_3a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_pool_proj"
type: "ReLU"
bottom: "inception_3a/pool_proj"
top: "inception_3a/pool_proj"
}
layer {
name: "inception_3a/output"
type: "Concat"
bottom: "inception_3a/1x1"
bottom: "inception_3a/3x3"
bottom: "inception_3a/5x5"
bottom: "inception_3a/pool_proj"
top: "inception_3a/output"
}
layer {
name: "inception_3b/1x1"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_1x1"
type: "ReLU"
bottom: "inception_3b/1x1"
top: "inception_3b/1x1"
}
layer {
name: "inception_3b/3x3_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3_reduce"
}
layer {
name: "inception_3b/3x3"
type: "Convolution"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3"
type: "ReLU"
bottom: "inception_3b/3x3"
top: "inception_3b/3x3"
}
layer {
name: "inception_3b/5x5_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5_reduce"
}
layer {
name: "inception_3b/5x5"
type: "Convolution"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5"
type: "ReLU"
bottom: "inception_3b/5x5"
top: "inception_3b/5x5"
}
layer {
name: "inception_3b/pool"
type: "Pooling"
bottom: "inception_3a/output"
top: "inception_3b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3b/pool_proj"
type: "Convolution"
bottom: "inception_3b/pool"
top: "inception_3b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_pool_proj"
type: "ReLU"
bottom: "inception_3b/pool_proj"
top: "inception_3b/pool_proj"
}
layer {
name: "inception_3b/output"
type: "Concat"
bottom: "inception_3b/1x1"
bottom: "inception_3b/3x3"
bottom: "inception_3b/5x5"
bottom: "inception_3b/pool_proj"
top: "inception_3b/output"
}
layer {
name: "pool3/3x3_s2"
type: "Pooling"
bottom: "inception_3b/output"
top: "pool3/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_4a/1x1"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_1x1"
type: "ReLU"
bottom: "inception_4a/1x1"
top: "inception_4a/1x1"
}
layer {
name: "inception_4a/3x3_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3_reduce"
}
layer {
name: "inception_4a/3x3"
type: "Convolution"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 208
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3"
type: "ReLU"
bottom: "inception_4a/3x3"
top: "inception_4a/3x3"
}
layer {
name: "inception_4a/5x5_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5_reduce"
}
layer {
name: "inception_4a/5x5"
type: "Convolution"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 48
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5"
type: "ReLU"
bottom: "inception_4a/5x5"
top: "inception_4a/5x5"
}
layer {
name: "inception_4a/pool"
type: "Pooling"
bottom: "pool3/3x3_s2"
top: "inception_4a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4a/pool_proj"
type: "Convolution"
bottom: "inception_4a/pool"
top: "inception_4a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_pool_proj"
type: "ReLU"
bottom: "inception_4a/pool_proj"
top: "inception_4a/pool_proj"
}
layer {
name: "inception_4a/output"
type: "Concat"
bottom: "inception_4a/1x1"
bottom: "inception_4a/3x3"
bottom: "inception_4a/5x5"
bottom: "inception_4a/pool_proj"
top: "inception_4a/output"
}
layer {
name: "inception_4b/1x1"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_1x1"
type: "ReLU"
bottom: "inception_4b/1x1"
top: "inception_4b/1x1"
}
layer {
name: "inception_4b/3x3_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3_reduce"
}
layer {
name: "inception_4b/3x3"
type: "Convolution"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 224
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3"
type: "ReLU"
bottom: "inception_4b/3x3"
top: "inception_4b/3x3"
}
layer {
name: "inception_4b/5x5_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5_reduce"
}
layer {
name: "inception_4b/5x5"
type: "Convolution"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5"
type: "ReLU"
bottom: "inception_4b/5x5"
top: "inception_4b/5x5"
}
layer {
name: "inception_4b/pool"
type: "Pooling"
bottom: "inception_4a/output"
top: "inception_4b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4b/pool_proj"
type: "Convolution"
bottom: "inception_4b/pool"
top: "inception_4b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_pool_proj"
type: "ReLU"
bottom: "inception_4b/pool_proj"
top: "inception_4b/pool_proj"
}
layer {
name: "inception_4b/output"
type: "Concat"
bottom: "inception_4b/1x1"
bottom: "inception_4b/3x3"
bottom: "inception_4b/5x5"
bottom: "inception_4b/pool_proj"
top: "inception_4b/output"
}
layer {
name: "inception_4c/1x1"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_1x1"
type: "ReLU"
bottom: "inception_4c/1x1"
top: "inception_4c/1x1"
}
layer {
name: "inception_4c/3x3_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3_reduce"
}
layer {
name: "inception_4c/3x3"
type: "Convolution"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3"
type: "ReLU"
bottom: "inception_4c/3x3"
top: "inception_4c/3x3"
}
layer {
name: "inception_4c/5x5_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5_reduce"
}
layer {
name: "inception_4c/5x5"
type: "Convolution"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5"
type: "ReLU"
bottom: "inception_4c/5x5"
top: "inception_4c/5x5"
}
layer {
name: "inception_4c/pool"
type: "Pooling"
bottom: "inception_4b/output"
top: "inception_4c/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4c/pool_proj"
type: "Convolution"
bottom: "inception_4c/pool"
top: "inception_4c/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_pool_proj"
type: "ReLU"
bottom: "inception_4c/pool_proj"
top: "inception_4c/pool_proj"
}
layer {
name: "inception_4c/output"
type: "Concat"
bottom: "inception_4c/1x1"
bottom: "inception_4c/3x3"
bottom: "inception_4c/5x5"
bottom: "inception_4c/pool_proj"
top: "inception_4c/output"
}
layer {
name: "inception_4d/1x1"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_1x1"
type: "ReLU"
bottom: "inception_4d/1x1"
top: "inception_4d/1x1"
}
layer {
name: "inception_4d/3x3_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 144
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3_reduce"
}
layer {
name: "inception_4d/3x3"
type: "Convolution"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 288
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3"
type: "ReLU"
bottom: "inception_4d/3x3"
top: "inception_4d/3x3"
}
layer {
name: "inception_4d/5x5_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5_reduce"
}
layer {
name: "inception_4d/5x5"
type: "Convolution"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5"
type: "ReLU"
bottom: "inception_4d/5x5"
top: "inception_4d/5x5"
}
layer {
name: "inception_4d/pool"
type: "Pooling"
bottom: "inception_4c/output"
top: "inception_4d/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4d/pool_proj"
type: "Convolution"
bottom: "inception_4d/pool"
top: "inception_4d/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_pool_proj"
type: "ReLU"
bottom: "inception_4d/pool_proj"
top: "inception_4d/pool_proj"
}
layer {
name: "inception_4d/output"
type: "Concat"
bottom: "inception_4d/1x1"
bottom: "inception_4d/3x3"
bottom: "inception_4d/5x5"
bottom: "inception_4d/pool_proj"
top: "inception_4d/output"
}
layer {
name: "inception_4e/1x1"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_1x1"
type: "ReLU"
bottom: "inception_4e/1x1"
top: "inception_4e/1x1"
}
layer {
name: "inception_4e/3x3_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3_reduce"
}
layer {
name: "inception_4e/3x3"
type: "Convolution"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 320
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3"
type: "ReLU"
bottom: "inception_4e/3x3"
top: "inception_4e/3x3"
}
layer {
name: "inception_4e/5x5_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5_reduce"
}
layer {
name: "inception_4e/5x5"
type: "Convolution"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5"
type: "ReLU"
bottom: "inception_4e/5x5"
top: "inception_4e/5x5"
}
layer {
name: "inception_4e/pool"
type: "Pooling"
bottom: "inception_4d/output"
top: "inception_4e/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4e/pool_proj"
type: "Convolution"
bottom: "inception_4e/pool"
top: "inception_4e/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_pool_proj"
type: "ReLU"
bottom: "inception_4e/pool_proj"
top: "inception_4e/pool_proj"
}
layer {
name: "ince
I0622 17:45:44.580353   991 net.cpp:109] Using FLOAT as default forward math type
I0622 17:45:44.580360   991 net.cpp:115] Using FLOAT as default backward math type
I0622 17:45:44.580369   991 layer_factory.hpp:172] Creating layer 'train_data' of type 'Data'
I0622 17:45:44.580375   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.580449   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.580521   991 net.cpp:199] Created Layer train_data (0)
I0622 17:45:44.580529   991 net.cpp:541] train_data -> data
I0622 17:45:44.580560   991 data_reader.cpp:58] Sample Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:44.580904   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.580904  1004 blocking_queue.cpp:40] Data layer prefetch queue empty
I0622 17:45:44.581343  1005 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:44.590314   991 data_layer.cpp:199] [0] Output data size: 3, 3, 384, 1248
I0622 17:45:44.590343   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.590384   991 net.cpp:259] Setting up train_data
I0622 17:45:44.590397   991 net.cpp:266] TRAIN Top shape for layer 0 'train_data' 3 3 384 1248 (4313088)
I0622 17:45:44.590409   991 layer_factory.hpp:172] Creating layer 'train_label' of type 'Data'
I0622 17:45:44.590415   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.590778   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.590829   991 net.cpp:199] Created Layer train_label (1)
I0622 17:45:44.590837   991 net.cpp:541] train_label -> label
I0622 17:45:44.590845   991 data_reader.cpp:58] Sample Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:44.590855   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.591532  1008 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:44.591663   991 data_layer.cpp:199] [0] Output data size: 3, 1, 20, 16
I0622 17:45:44.591686   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:44.591722   991 net.cpp:259] Setting up train_label
I0622 17:45:44.591732   991 net.cpp:266] TRAIN Top shape for layer 1 'train_label' 3 1 20 16 (960)
I0622 17:45:44.591739   991 layer_factory.hpp:172] Creating layer 'train_transform' of type 'DetectNetTransformation'
I0622 17:45:44.591745   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.592113   991 net.cpp:199] Created Layer train_transform (2)
I0622 17:45:44.592125   991 net.cpp:571] train_transform <- data
I0622 17:45:44.592134   991 net.cpp:571] train_transform <- label
I0622 17:45:44.592141   991 net.cpp:541] train_transform -> transformed_data
I0622 17:45:44.592149   991 net.cpp:541] train_transform -> transformed_label
I0622 17:45:44.593134   991 net.cpp:259] Setting up train_transform
I0622 17:45:44.593145   991 net.cpp:266] TRAIN Top shape for layer 2 'train_transform' 3 3 384 1248 (4313088)
I0622 17:45:44.593152   991 net.cpp:266] TRAIN Top shape for layer 2 'train_transform' 3 9 24 78 (50544)
I0622 17:45:44.593159   991 layer_factory.hpp:172] Creating layer 'slice-label' of type 'Slice'
I0622 17:45:44.593165   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593175   991 net.cpp:199] Created Layer slice-label (3)
I0622 17:45:44.593180   991 net.cpp:571] slice-label <- transformed_label
I0622 17:45:44.593188   991 net.cpp:541] slice-label -> foreground-label
I0622 17:45:44.593194   991 net.cpp:541] slice-label -> bbox-label
I0622 17:45:44.593201   991 net.cpp:541] slice-label -> size-label
I0622 17:45:44.593219   991 net.cpp:541] slice-label -> obj-label
I0622 17:45:44.593225   991 net.cpp:541] slice-label -> coverage-label
I0622 17:45:44.593287   991 net.cpp:259] Setting up slice-label
I0622 17:45:44.593295   991 net.cpp:266] TRAIN Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:44.593302   991 net.cpp:266] TRAIN Top shape for layer 3 'slice-label' 3 4 24 78 (22464)
I0622 17:45:44.593307   991 net.cpp:266] TRAIN Top shape for layer 3 'slice-label' 3 2 24 78 (11232)
I0622 17:45:44.593313   991 net.cpp:266] TRAIN Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:44.593319   991 net.cpp:266] TRAIN Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:44.593327   991 layer_factory.hpp:172] Creating layer 'foreground-label_slice-label_0_split' of type 'Split'
I0622 17:45:44.593333   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593340   991 net.cpp:199] Created Layer foreground-label_slice-label_0_split (4)
I0622 17:45:44.593346   991 net.cpp:571] foreground-label_slice-label_0_split <- foreground-label
I0622 17:45:44.593353   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_0
I0622 17:45:44.593359   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_1
I0622 17:45:44.593365   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_2
I0622 17:45:44.593372   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_3
I0622 17:45:44.593420   991 net.cpp:259] Setting up foreground-label_slice-label_0_split
I0622 17:45:44.593426   991 net.cpp:266] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:44.593432   991 net.cpp:266] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:44.593439   991 net.cpp:266] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:44.593444   991 net.cpp:266] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:44.593452   991 layer_factory.hpp:172] Creating layer 'size-label_slice-label_2_split' of type 'Split'
I0622 17:45:44.593457   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593464   991 net.cpp:199] Created Layer size-label_slice-label_2_split (5)
I0622 17:45:44.593470   991 net.cpp:571] size-label_slice-label_2_split <- size-label
I0622 17:45:44.593477   991 net.cpp:541] size-label_slice-label_2_split -> size-label_slice-label_2_split_0
I0622 17:45:44.593482   991 net.cpp:541] size-label_slice-label_2_split -> size-label_slice-label_2_split_1
I0622 17:45:44.593509   991 net.cpp:259] Setting up size-label_slice-label_2_split
I0622 17:45:44.593516   991 net.cpp:266] TRAIN Top shape for layer 5 'size-label_slice-label_2_split' 3 2 24 78 (11232)
I0622 17:45:44.593523   991 net.cpp:266] TRAIN Top shape for layer 5 'size-label_slice-label_2_split' 3 2 24 78 (11232)
I0622 17:45:44.593529   991 layer_factory.hpp:172] Creating layer 'obj-label_slice-label_3_split' of type 'Split'
I0622 17:45:44.593535   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593541   991 net.cpp:199] Created Layer obj-label_slice-label_3_split (6)
I0622 17:45:44.593547   991 net.cpp:571] obj-label_slice-label_3_split <- obj-label
I0622 17:45:44.593554   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_0
I0622 17:45:44.593560   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_1
I0622 17:45:44.593567   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_2
I0622 17:45:44.593574   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_3
I0622 17:45:44.593616   991 net.cpp:259] Setting up obj-label_slice-label_3_split
I0622 17:45:44.593623   991 net.cpp:266] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:44.593636   991 net.cpp:266] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:44.593642   991 net.cpp:266] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:44.593648   991 net.cpp:266] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:44.593655   991 layer_factory.hpp:172] Creating layer 'coverage-block' of type 'Concat'
I0622 17:45:44.593662   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593670   991 net.cpp:199] Created Layer coverage-block (7)
I0622 17:45:44.593675   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_0
I0622 17:45:44.593683   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_1
I0622 17:45:44.593688   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_2
I0622 17:45:44.593694   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_3
I0622 17:45:44.593700   991 net.cpp:541] coverage-block -> coverage-block
I0622 17:45:44.593719   991 net.cpp:259] Setting up coverage-block
I0622 17:45:44.593725   991 net.cpp:266] TRAIN Top shape for layer 7 'coverage-block' 3 4 24 78 (22464)
I0622 17:45:44.593734   991 layer_factory.hpp:172] Creating layer 'size-block' of type 'Concat'
I0622 17:45:44.593739   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593745   991 net.cpp:199] Created Layer size-block (8)
I0622 17:45:44.593751   991 net.cpp:571] size-block <- size-label_slice-label_2_split_0
I0622 17:45:44.593757   991 net.cpp:571] size-block <- size-label_slice-label_2_split_1
I0622 17:45:44.593763   991 net.cpp:541] size-block -> size-block
I0622 17:45:44.593780   991 net.cpp:259] Setting up size-block
I0622 17:45:44.593786   991 net.cpp:266] TRAIN Top shape for layer 8 'size-block' 3 4 24 78 (22464)
I0622 17:45:44.593794   991 layer_factory.hpp:172] Creating layer 'size-block_size-block_0_split' of type 'Split'
I0622 17:45:44.593799   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593806   991 net.cpp:199] Created Layer size-block_size-block_0_split (9)
I0622 17:45:44.593811   991 net.cpp:571] size-block_size-block_0_split <- size-block
I0622 17:45:44.593817   991 net.cpp:541] size-block_size-block_0_split -> size-block_size-block_0_split_0
I0622 17:45:44.593824   991 net.cpp:541] size-block_size-block_0_split -> size-block_size-block_0_split_1
I0622 17:45:44.593850   991 net.cpp:259] Setting up size-block_size-block_0_split
I0622 17:45:44.593858   991 net.cpp:266] TRAIN Top shape for layer 9 'size-block_size-block_0_split' 3 4 24 78 (22464)
I0622 17:45:44.593863   991 net.cpp:266] TRAIN Top shape for layer 9 'size-block_size-block_0_split' 3 4 24 78 (22464)
I0622 17:45:44.593870   991 layer_factory.hpp:172] Creating layer 'obj-block' of type 'Concat'
I0622 17:45:44.593876   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593883   991 net.cpp:199] Created Layer obj-block (10)
I0622 17:45:44.593888   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_0
I0622 17:45:44.593894   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_1
I0622 17:45:44.593900   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_2
I0622 17:45:44.593906   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_3
I0622 17:45:44.593912   991 net.cpp:541] obj-block -> obj-block
I0622 17:45:44.593930   991 net.cpp:259] Setting up obj-block
I0622 17:45:44.593936   991 net.cpp:266] TRAIN Top shape for layer 10 'obj-block' 3 4 24 78 (22464)
I0622 17:45:44.593943   991 layer_factory.hpp:172] Creating layer 'obj-block_obj-block_0_split' of type 'Split'
I0622 17:45:44.593950   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.593955   991 net.cpp:199] Created Layer obj-block_obj-block_0_split (11)
I0622 17:45:44.593966   991 net.cpp:571] obj-block_obj-block_0_split <- obj-block
I0622 17:45:44.593972   991 net.cpp:541] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_0
I0622 17:45:44.593979   991 net.cpp:541] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_1
I0622 17:45:44.594007   991 net.cpp:259] Setting up obj-block_obj-block_0_split
I0622 17:45:44.594013   991 net.cpp:266] TRAIN Top shape for layer 11 'obj-block_obj-block_0_split' 3 4 24 78 (22464)
I0622 17:45:44.594019   991 net.cpp:266] TRAIN Top shape for layer 11 'obj-block_obj-block_0_split' 3 4 24 78 (22464)
I0622 17:45:44.594027   991 layer_factory.hpp:172] Creating layer 'bb-label-norm' of type 'Eltwise'
I0622 17:45:44.594033   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.594041   991 net.cpp:199] Created Layer bb-label-norm (12)
I0622 17:45:44.594048   991 net.cpp:571] bb-label-norm <- bbox-label
I0622 17:45:44.594053   991 net.cpp:571] bb-label-norm <- size-block_size-block_0_split_0
I0622 17:45:44.594059   991 net.cpp:541] bb-label-norm -> bbox-label-norm
I0622 17:45:44.594084   991 net.cpp:259] Setting up bb-label-norm
I0622 17:45:44.594090   991 net.cpp:266] TRAIN Top shape for layer 12 'bb-label-norm' 3 4 24 78 (22464)
I0622 17:45:44.594097   991 layer_factory.hpp:172] Creating layer 'bb-obj-norm' of type 'Eltwise'
I0622 17:45:44.594103   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.594110   991 net.cpp:199] Created Layer bb-obj-norm (13)
I0622 17:45:44.594116   991 net.cpp:571] bb-obj-norm <- bbox-label-norm
I0622 17:45:44.594122   991 net.cpp:571] bb-obj-norm <- obj-block_obj-block_0_split_0
I0622 17:45:44.594128   991 net.cpp:541] bb-obj-norm -> bbox-obj-label-norm
I0622 17:45:44.594146   991 net.cpp:259] Setting up bb-obj-norm
I0622 17:45:44.594152   991 net.cpp:266] TRAIN Top shape for layer 13 'bb-obj-norm' 3 4 24 78 (22464)
I0622 17:45:44.594159   991 layer_factory.hpp:172] Creating layer 'conv1/7x7_s2' of type 'Convolution'
I0622 17:45:44.594166   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.594185   991 net.cpp:199] Created Layer conv1/7x7_s2 (14)
I0622 17:45:44.594192   991 net.cpp:571] conv1/7x7_s2 <- transformed_data
I0622 17:45:44.594197   991 net.cpp:541] conv1/7x7_s2 -> conv1/7x7_s2
I0622 17:45:44.963289   991 net.cpp:259] Setting up conv1/7x7_s2
I0622 17:45:44.963312   991 net.cpp:266] TRAIN Top shape for layer 14 'conv1/7x7_s2' 3 64 192 624 (23003136)
I0622 17:45:44.963333   991 layer_factory.hpp:172] Creating layer 'conv1/relu_7x7' of type 'ReLU'
I0622 17:45:44.963340   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.963351   991 net.cpp:199] Created Layer conv1/relu_7x7 (15)
I0622 17:45:44.963358   991 net.cpp:571] conv1/relu_7x7 <- conv1/7x7_s2
I0622 17:45:44.963364   991 net.cpp:526] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I0622 17:45:44.963385   991 net.cpp:259] Setting up conv1/relu_7x7
I0622 17:45:44.963392   991 net.cpp:266] TRAIN Top shape for layer 15 'conv1/relu_7x7' 3 64 192 624 (23003136)
I0622 17:45:44.963399   991 layer_factory.hpp:172] Creating layer 'pool1/3x3_s2' of type 'Pooling'
I0622 17:45:44.963405   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.963416   991 net.cpp:199] Created Layer pool1/3x3_s2 (16)
I0622 17:45:44.963423   991 net.cpp:571] pool1/3x3_s2 <- conv1/7x7_s2
I0622 17:45:44.963429   991 net.cpp:541] pool1/3x3_s2 -> pool1/3x3_s2
I0622 17:45:44.963497   991 net.cpp:259] Setting up pool1/3x3_s2
I0622 17:45:44.963505   991 net.cpp:266] TRAIN Top shape for layer 16 'pool1/3x3_s2' 3 64 96 312 (5750784)
I0622 17:45:44.963511   991 layer_factory.hpp:172] Creating layer 'pool1/norm1' of type 'LRN'
I0622 17:45:44.963517   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.963546   991 net.cpp:199] Created Layer pool1/norm1 (17)
I0622 17:45:44.963551   991 net.cpp:571] pool1/norm1 <- pool1/3x3_s2
I0622 17:45:44.963557   991 net.cpp:541] pool1/norm1 -> pool1/norm1
I0622 17:45:44.963599   991 net.cpp:259] Setting up pool1/norm1
I0622 17:45:44.963606   991 net.cpp:266] TRAIN Top shape for layer 17 'pool1/norm1' 3 64 96 312 (5750784)
I0622 17:45:44.963613   991 layer_factory.hpp:172] Creating layer 'conv2/3x3_reduce' of type 'Convolution'
I0622 17:45:44.963619   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.963632   991 net.cpp:199] Created Layer conv2/3x3_reduce (18)
I0622 17:45:44.963639   991 net.cpp:571] conv2/3x3_reduce <- pool1/norm1
I0622 17:45:44.963644   991 net.cpp:541] conv2/3x3_reduce -> conv2/3x3_reduce
I0622 17:45:44.964994   991 net.cpp:259] Setting up conv2/3x3_reduce
I0622 17:45:44.965006   991 net.cpp:266] TRAIN Top shape for layer 18 'conv2/3x3_reduce' 3 64 96 312 (5750784)
I0622 17:45:44.965018   991 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.965024   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.965032   991 net.cpp:199] Created Layer conv2/relu_3x3_reduce (19)
I0622 17:45:44.965039   991 net.cpp:571] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I0622 17:45:44.965044   991 net.cpp:526] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I0622 17:45:44.965054   991 net.cpp:259] Setting up conv2/relu_3x3_reduce
I0622 17:45:44.965059   991 net.cpp:266] TRAIN Top shape for layer 19 'conv2/relu_3x3_reduce' 3 64 96 312 (5750784)
I0622 17:45:44.965066   991 layer_factory.hpp:172] Creating layer 'conv2/3x3' of type 'Convolution'
I0622 17:45:44.965072   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.965082   991 net.cpp:199] Created Layer conv2/3x3 (20)
I0622 17:45:44.965088   991 net.cpp:571] conv2/3x3 <- conv2/3x3_reduce
I0622 17:45:44.965106   991 net.cpp:541] conv2/3x3 -> conv2/3x3
I0622 17:45:44.966255   991 net.cpp:259] Setting up conv2/3x3
I0622 17:45:44.966264   991 net.cpp:266] TRAIN Top shape for layer 20 'conv2/3x3' 3 192 96 312 (17252352)
I0622 17:45:44.966274   991 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3' of type 'ReLU'
I0622 17:45:44.966281   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.966287   991 net.cpp:199] Created Layer conv2/relu_3x3 (21)
I0622 17:45:44.966295   991 net.cpp:571] conv2/relu_3x3 <- conv2/3x3
I0622 17:45:44.966300   991 net.cpp:526] conv2/relu_3x3 -> conv2/3x3 (in-place)
I0622 17:45:44.966308   991 net.cpp:259] Setting up conv2/relu_3x3
I0622 17:45:44.966315   991 net.cpp:266] TRAIN Top shape for layer 21 'conv2/relu_3x3' 3 192 96 312 (17252352)
I0622 17:45:44.966321   991 layer_factory.hpp:172] Creating layer 'conv2/norm2' of type 'LRN'
I0622 17:45:44.966326   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.966336   991 net.cpp:199] Created Layer conv2/norm2 (22)
I0622 17:45:44.966341   991 net.cpp:571] conv2/norm2 <- conv2/3x3
I0622 17:45:44.966347   991 net.cpp:541] conv2/norm2 -> conv2/norm2
I0622 17:45:44.966383   991 net.cpp:259] Setting up conv2/norm2
I0622 17:45:44.966390   991 net.cpp:266] TRAIN Top shape for layer 22 'conv2/norm2' 3 192 96 312 (17252352)
I0622 17:45:44.966398   991 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2' of type 'Pooling'
I0622 17:45:44.966403   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.966410   991 net.cpp:199] Created Layer pool2/3x3_s2 (23)
I0622 17:45:44.966416   991 net.cpp:571] pool2/3x3_s2 <- conv2/norm2
I0622 17:45:44.966423   991 net.cpp:541] pool2/3x3_s2 -> pool2/3x3_s2
I0622 17:45:44.966466   991 net.cpp:259] Setting up pool2/3x3_s2
I0622 17:45:44.966473   991 net.cpp:266] TRAIN Top shape for layer 23 'pool2/3x3_s2' 3 192 48 156 (4313088)
I0622 17:45:44.966481   991 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2_pool2/3x3_s2_0_split' of type 'Split'
I0622 17:45:44.966496   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.966504   991 net.cpp:199] Created Layer pool2/3x3_s2_pool2/3x3_s2_0_split (24)
I0622 17:45:44.966511   991 net.cpp:571] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I0622 17:45:44.966516   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0622 17:45:44.966523   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0622 17:45:44.966531   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0622 17:45:44.966536   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0622 17:45:44.966590   991 net.cpp:259] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I0622 17:45:44.966598   991 net.cpp:266] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:44.966603   991 net.cpp:266] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:44.966609   991 net.cpp:266] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:44.966615   991 net.cpp:266] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:44.966622   991 layer_factory.hpp:172] Creating layer 'inception_3a/1x1' of type 'Convolution'
I0622 17:45:44.966629   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.966639   991 net.cpp:199] Created Layer inception_3a/1x1 (25)
I0622 17:45:44.966645   991 net.cpp:571] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0622 17:45:44.966650   991 net.cpp:541] inception_3a/1x1 -> inception_3a/1x1
I0622 17:45:44.966982   991 net.cpp:259] Setting up inception_3a/1x1
I0622 17:45:44.966990   991 net.cpp:266] TRAIN Top shape for layer 25 'inception_3a/1x1' 3 64 48 156 (1437696)
I0622 17:45:44.967000   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_1x1' of type 'ReLU'
I0622 17:45:44.967005   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.967012   991 net.cpp:199] Created Layer inception_3a/relu_1x1 (26)
I0622 17:45:44.967018   991 net.cpp:571] inception_3a/relu_1x1 <- inception_3a/1x1
I0622 17:45:44.967025   991 net.cpp:526] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I0622 17:45:44.967032   991 net.cpp:259] Setting up inception_3a/relu_1x1
I0622 17:45:44.967038   991 net.cpp:266] TRAIN Top shape for layer 26 'inception_3a/relu_1x1' 3 64 48 156 (1437696)
I0622 17:45:44.967046   991 layer_factory.hpp:172] Creating layer 'inception_3a/3x3_reduce' of type 'Convolution'
I0622 17:45:44.967051   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.967061   991 net.cpp:199] Created Layer inception_3a/3x3_reduce (27)
I0622 17:45:44.967066   991 net.cpp:571] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0622 17:45:44.967072   991 net.cpp:541] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I0622 17:45:44.967455   991 net.cpp:259] Setting up inception_3a/3x3_reduce
I0622 17:45:44.967463   991 net.cpp:266] TRAIN Top shape for layer 27 'inception_3a/3x3_reduce' 3 96 48 156 (2156544)
I0622 17:45:44.967474   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.967479   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.967486   991 net.cpp:199] Created Layer inception_3a/relu_3x3_reduce (28)
I0622 17:45:44.967492   991 net.cpp:571] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I0622 17:45:44.967499   991 net.cpp:526] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I0622 17:45:44.967505   991 net.cpp:259] Setting up inception_3a/relu_3x3_reduce
I0622 17:45:44.967519   991 net.cpp:266] TRAIN Top shape for layer 28 'inception_3a/relu_3x3_reduce' 3 96 48 156 (2156544)
I0622 17:45:44.967525   991 layer_factory.hpp:172] Creating layer 'inception_3a/3x3' of type 'Convolution'
I0622 17:45:44.967531   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.967540   991 net.cpp:199] Created Layer inception_3a/3x3 (29)
I0622 17:45:44.967546   991 net.cpp:571] inception_3a/3x3 <- inception_3a/3x3_reduce
I0622 17:45:44.967552   991 net.cpp:541] inception_3a/3x3 -> inception_3a/3x3
I0622 17:45:44.968686   991 net.cpp:259] Setting up inception_3a/3x3
I0622 17:45:44.968694   991 net.cpp:266] TRAIN Top shape for layer 29 'inception_3a/3x3' 3 128 48 156 (2875392)
I0622 17:45:44.968704   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3' of type 'ReLU'
I0622 17:45:44.968709   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.968716   991 net.cpp:199] Created Layer inception_3a/relu_3x3 (30)
I0622 17:45:44.968721   991 net.cpp:571] inception_3a/relu_3x3 <- inception_3a/3x3
I0622 17:45:44.968729   991 net.cpp:526] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I0622 17:45:44.968735   991 net.cpp:259] Setting up inception_3a/relu_3x3
I0622 17:45:44.968741   991 net.cpp:266] TRAIN Top shape for layer 30 'inception_3a/relu_3x3' 3 128 48 156 (2875392)
I0622 17:45:44.968749   991 layer_factory.hpp:172] Creating layer 'inception_3a/5x5_reduce' of type 'Convolution'
I0622 17:45:44.968755   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.968763   991 net.cpp:199] Created Layer inception_3a/5x5_reduce (31)
I0622 17:45:44.968770   991 net.cpp:571] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0622 17:45:44.968775   991 net.cpp:541] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I0622 17:45:44.969034   991 net.cpp:259] Setting up inception_3a/5x5_reduce
I0622 17:45:44.969043   991 net.cpp:266] TRAIN Top shape for layer 31 'inception_3a/5x5_reduce' 3 16 48 156 (359424)
I0622 17:45:44.969051   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:44.969058   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969065   991 net.cpp:199] Created Layer inception_3a/relu_5x5_reduce (32)
I0622 17:45:44.969071   991 net.cpp:571] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I0622 17:45:44.969077   991 net.cpp:526] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I0622 17:45:44.969084   991 net.cpp:259] Setting up inception_3a/relu_5x5_reduce
I0622 17:45:44.969095   991 net.cpp:266] TRAIN Top shape for layer 32 'inception_3a/relu_5x5_reduce' 3 16 48 156 (359424)
I0622 17:45:44.969102   991 layer_factory.hpp:172] Creating layer 'inception_3a/5x5' of type 'Convolution'
I0622 17:45:44.969108   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969117   991 net.cpp:199] Created Layer inception_3a/5x5 (33)
I0622 17:45:44.969123   991 net.cpp:571] inception_3a/5x5 <- inception_3a/5x5_reduce
I0622 17:45:44.969130   991 net.cpp:541] inception_3a/5x5 -> inception_3a/5x5
I0622 17:45:44.969466   991 net.cpp:259] Setting up inception_3a/5x5
I0622 17:45:44.969475   991 net.cpp:266] TRAIN Top shape for layer 33 'inception_3a/5x5' 3 32 48 156 (718848)
I0622 17:45:44.969483   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5' of type 'ReLU'
I0622 17:45:44.969488   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969496   991 net.cpp:199] Created Layer inception_3a/relu_5x5 (34)
I0622 17:45:44.969501   991 net.cpp:571] inception_3a/relu_5x5 <- inception_3a/5x5
I0622 17:45:44.969506   991 net.cpp:526] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I0622 17:45:44.969513   991 net.cpp:259] Setting up inception_3a/relu_5x5
I0622 17:45:44.969519   991 net.cpp:266] TRAIN Top shape for layer 34 'inception_3a/relu_5x5' 3 32 48 156 (718848)
I0622 17:45:44.969533   991 layer_factory.hpp:172] Creating layer 'inception_3a/pool' of type 'Pooling'
I0622 17:45:44.969539   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969547   991 net.cpp:199] Created Layer inception_3a/pool (35)
I0622 17:45:44.969552   991 net.cpp:571] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0622 17:45:44.969558   991 net.cpp:541] inception_3a/pool -> inception_3a/pool
I0622 17:45:44.969606   991 net.cpp:259] Setting up inception_3a/pool
I0622 17:45:44.969614   991 net.cpp:266] TRAIN Top shape for layer 35 'inception_3a/pool' 3 192 48 156 (4313088)
I0622 17:45:44.969620   991 layer_factory.hpp:172] Creating layer 'inception_3a/pool_proj' of type 'Convolution'
I0622 17:45:44.969626   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969635   991 net.cpp:199] Created Layer inception_3a/pool_proj (36)
I0622 17:45:44.969641   991 net.cpp:571] inception_3a/pool_proj <- inception_3a/pool
I0622 17:45:44.969647   991 net.cpp:541] inception_3a/pool_proj -> inception_3a/pool_proj
I0622 17:45:44.969923   991 net.cpp:259] Setting up inception_3a/pool_proj
I0622 17:45:44.969933   991 net.cpp:266] TRAIN Top shape for layer 36 'inception_3a/pool_proj' 3 32 48 156 (718848)
I0622 17:45:44.969943   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_pool_proj' of type 'ReLU'
I0622 17:45:44.969949   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.969955   991 net.cpp:199] Created Layer inception_3a/relu_pool_proj (37)
I0622 17:45:44.969961   991 net.cpp:571] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I0622 17:45:44.969967   991 net.cpp:526] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I0622 17:45:44.969974   991 net.cpp:259] Setting up inception_3a/relu_pool_proj
I0622 17:45:44.969980   991 net.cpp:266] TRAIN Top shape for layer 37 'inception_3a/relu_pool_proj' 3 32 48 156 (718848)
I0622 17:45:44.969987   991 layer_factory.hpp:172] Creating layer 'inception_3a/output' of type 'Concat'
I0622 17:45:44.969993   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.970000   991 net.cpp:199] Created Layer inception_3a/output (38)
I0622 17:45:44.970006   991 net.cpp:571] inception_3a/output <- inception_3a/1x1
I0622 17:45:44.970012   991 net.cpp:571] inception_3a/output <- inception_3a/3x3
I0622 17:45:44.970018   991 net.cpp:571] inception_3a/output <- inception_3a/5x5
I0622 17:45:44.970023   991 net.cpp:571] inception_3a/output <- inception_3a/pool_proj
I0622 17:45:44.970029   991 net.cpp:541] inception_3a/output -> inception_3a/output
I0622 17:45:44.970053   991 net.cpp:259] Setting up inception_3a/output
I0622 17:45:44.970059   991 net.cpp:266] TRAIN Top shape for layer 38 'inception_3a/output' 3 256 48 156 (5750784)
I0622 17:45:44.970067   991 layer_factory.hpp:172] Creating layer 'inception_3a/output_inception_3a/output_0_split' of type 'Split'
I0622 17:45:44.970072   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.970079   991 net.cpp:199] Created Layer inception_3a/output_inception_3a/output_0_split (39)
I0622 17:45:44.970084   991 net.cpp:571] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I0622 17:45:44.970090   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I0622 17:45:44.970098   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I0622 17:45:44.970104   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I0622 17:45:44.970110   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I0622 17:45:44.970170   991 net.cpp:259] Setting up inception_3a/output_inception_3a/output_0_split
I0622 17:45:44.970178   991 net.cpp:266] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:44.970185   991 net.cpp:266] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:44.970191   991 net.cpp:266] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:44.970196   991 net.cpp:266] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:44.970203   991 layer_factory.hpp:172] Creating layer 'inception_3b/1x1' of type 'Convolution'
I0622 17:45:44.970209   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.970219   991 net.cpp:199] Created Layer inception_3b/1x1 (40)
I0622 17:45:44.970224   991 net.cpp:571] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I0622 17:45:44.970230   991 net.cpp:541] inception_3b/1x1 -> inception_3b/1x1
I0622 17:45:44.970726   991 net.cpp:259] Setting up inception_3b/1x1
I0622 17:45:44.970733   991 net.cpp:266] TRAIN Top shape for layer 40 'inception_3b/1x1' 3 128 48 156 (2875392)
I0622 17:45:44.970742   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_1x1' of type 'ReLU'
I0622 17:45:44.970747   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.970754   991 net.cpp:199] Created Layer inception_3b/relu_1x1 (41)
I0622 17:45:44.970760   991 net.cpp:571] inception_3b/relu_1x1 <- inception_3b/1x1
I0622 17:45:44.970767   991 net.cpp:526] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I0622 17:45:44.970773   991 net.cpp:259] Setting up inception_3b/relu_1x1
I0622 17:45:44.970779   991 net.cpp:266] TRAIN Top shape for layer 41 'inception_3b/relu_1x1' 3 128 48 156 (2875392)
I0622 17:45:44.970788   991 layer_factory.hpp:172] Creating layer 'inception_3b/3x3_reduce' of type 'Convolution'
I0622 17:45:44.970793   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.970801   991 net.cpp:199] Created Layer inception_3b/3x3_reduce (42)
I0622 17:45:44.970808   991 net.cpp:571] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I0622 17:45:44.970814   991 net.cpp:541] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I0622 17:45:44.971309   991 net.cpp:259] Setting up inception_3b/3x3_reduce
I0622 17:45:44.971318   991 net.cpp:266] TRAIN Top shape for layer 42 'inception_3b/3x3_reduce' 3 128 48 156 (2875392)
I0622 17:45:44.971326   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.971333   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.971339   991 net.cpp:199] Created Layer inception_3b/relu_3x3_reduce (43)
I0622 17:45:44.971344   991 net.cpp:571] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I0622 17:45:44.971351   991 net.cpp:526] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I0622 17:45:44.971359   991 net.cpp:259] Setting up inception_3b/relu_3x3_reduce
I0622 17:45:44.971364   991 net.cpp:266] TRAIN Top shape for layer 43 'inception_3b/relu_3x3_reduce' 3 128 48 156 (2875392)
I0622 17:45:44.971371   991 layer_factory.hpp:172] Creating layer 'inception_3b/3x3' of type 'Convolution'
I0622 17:45:44.971377   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.971386   991 net.cpp:199] Created Layer inception_3b/3x3 (44)
I0622 17:45:44.971391   991 net.cpp:571] inception_3b/3x3 <- inception_3b/3x3_reduce
I0622 17:45:44.971397   991 net.cpp:541] inception_3b/3x3 -> inception_3b/3x3
I0622 17:45:44.973984   991 net.cpp:259] Setting up inception_3b/3x3
I0622 17:45:44.973994   991 net.cpp:266] TRAIN Top shape for layer 44 'inception_3b/3x3' 3 192 48 156 (4313088)
I0622 17:45:44.974010   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3' of type 'ReLU'
I0622 17:45:44.974017   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.974025   991 net.cpp:199] Created Layer inception_3b/relu_3x3 (45)
I0622 17:45:44.974030   991 net.cpp:571] inception_3b/relu_3x3 <- inception_3b/3x3
I0622 17:45:44.974036   991 net.cpp:526] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I0622 17:45:44.974045   991 net.cpp:259] Setting up inception_3b/relu_3x3
I0622 17:45:44.974050   991 net.cpp:266] TRAIN Top shape for layer 45 'inception_3b/relu_3x3' 3 192 48 156 (4313088)
I0622 17:45:44.974058   991 layer_factory.hpp:172] Creating layer 'inception_3b/5x5_reduce' of type 'Convolution'
I0622 17:45:44.974063   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.974073   991 net.cpp:199] Created Layer inception_3b/5x5_reduce (46)
I0622 17:45:44.974079   991 net.cpp:571] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I0622 17:45:44.974086   991 net.cpp:541] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I0622 17:45:44.974407   991 net.cpp:259] Setting up inception_3b/5x5_reduce
I0622 17:45:44.974416   991 net.cpp:266] TRAIN Top shape for layer 46 'inception_3b/5x5_reduce' 3 32 48 156 (718848)
I0622 17:45:44.974426   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:44.974431   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.974437   991 net.cpp:199] Created Layer inception_3b/relu_5x5_reduce (47)
I0622 17:45:44.974443   991 net.cpp:571] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I0622 17:45:44.974449   991 net.cpp:526] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I0622 17:45:44.974457   991 net.cpp:259] Setting up inception_3b/relu_5x5_reduce
I0622 17:45:44.974462   991 net.cpp:266] TRAIN Top shape for layer 47 'inception_3b/relu_5x5_reduce' 3 32 48 156 (718848)
I0622 17:45:44.974470   991 layer_factory.hpp:172] Creating layer 'inception_3b/5x5' of type 'Convolution'
I0622 17:45:44.974476   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.974486   991 net.cpp:199] Created Layer inception_3b/5x5 (48)
I0622 17:45:44.974491   991 net.cpp:571] inception_3b/5x5 <- inception_3b/5x5_reduce
I0622 17:45:44.974498   991 net.cpp:541] inception_3b/5x5 -> inception_3b/5x5
I0622 17:45:44.975363   991 net.cpp:259] Setting up inception_3b/5x5
I0622 17:45:44.975370   991 net.cpp:266] TRAIN Top shape for layer 48 'inception_3b/5x5' 3 96 48 156 (2156544)
I0622 17:45:44.975378   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5' of type 'ReLU'
I0622 17:45:44.975384   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.975391   991 net.cpp:199] Created Layer inception_3b/relu_5x5 (49)
I0622 17:45:44.975397   991 net.cpp:571] inception_3b/relu_5x5 <- inception_3b/5x5
I0622 17:45:44.975402   991 net.cpp:526] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I0622 17:45:44.975410   991 net.cpp:259] Setting up inception_3b/relu_5x5
I0622 17:45:44.975416   991 net.cpp:266] TRAIN Top shape for layer 49 'inception_3b/relu_5x5' 3 96 48 156 (2156544)
I0622 17:45:44.975423   991 layer_factory.hpp:172] Creating layer 'inception_3b/pool' of type 'Pooling'
I0622 17:45:44.975430   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.975436   991 net.cpp:199] Created Layer inception_3b/pool (50)
I0622 17:45:44.975442   991 net.cpp:571] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I0622 17:45:44.975448   991 net.cpp:541] inception_3b/pool -> inception_3b/pool
I0622 17:45:44.975497   991 net.cpp:259] Setting up inception_3b/pool
I0622 17:45:44.975503   991 net.cpp:266] TRAIN Top shape for layer 50 'inception_3b/pool' 3 256 48 156 (5750784)
I0622 17:45:44.975517   991 layer_factory.hpp:172] Creating layer 'inception_3b/pool_proj' of type 'Convolution'
I0622 17:45:44.975523   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.975533   991 net.cpp:199] Created Layer inception_3b/pool_proj (51)
I0622 17:45:44.975538   991 net.cpp:571] inception_3b/pool_proj <- inception_3b/pool
I0622 17:45:44.975545   991 net.cpp:541] inception_3b/pool_proj -> inception_3b/pool_proj
I0622 17:45:44.975919   991 net.cpp:259] Setting up inception_3b/pool_proj
I0622 17:45:44.975927   991 net.cpp:266] TRAIN Top shape for layer 51 'inception_3b/pool_proj' 3 64 48 156 (1437696)
I0622 17:45:44.975936   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_pool_proj' of type 'ReLU'
I0622 17:45:44.975942   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.975949   991 net.cpp:199] Created Layer inception_3b/relu_pool_proj (52)
I0622 17:45:44.975955   991 net.cpp:571] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I0622 17:45:44.975960   991 net.cpp:526] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I0622 17:45:44.975968   991 net.cpp:259] Setting up inception_3b/relu_pool_proj
I0622 17:45:44.975975   991 net.cpp:266] TRAIN Top shape for layer 52 'inception_3b/relu_pool_proj' 3 64 48 156 (1437696)
I0622 17:45:44.975981   991 layer_factory.hpp:172] Creating layer 'inception_3b/output' of type 'Concat'
I0622 17:45:44.975986   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.975993   991 net.cpp:199] Created Layer inception_3b/output (53)
I0622 17:45:44.975998   991 net.cpp:571] inception_3b/output <- inception_3b/1x1
I0622 17:45:44.976004   991 net.cpp:571] inception_3b/output <- inception_3b/3x3
I0622 17:45:44.976011   991 net.cpp:571] inception_3b/output <- inception_3b/5x5
I0622 17:45:44.976016   991 net.cpp:571] inception_3b/output <- inception_3b/pool_proj
I0622 17:45:44.976022   991 net.cpp:541] inception_3b/output -> inception_3b/output
I0622 17:45:44.976044   991 net.cpp:259] Setting up inception_3b/output
I0622 17:45:44.976052   991 net.cpp:266] TRAIN Top shape for layer 53 'inception_3b/output' 3 480 48 156 (10782720)
I0622 17:45:44.976059   991 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2' of type 'Pooling'
I0622 17:45:44.976064   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.976073   991 net.cpp:199] Created Layer pool3/3x3_s2 (54)
I0622 17:45:44.976078   991 net.cpp:571] pool3/3x3_s2 <- inception_3b/output
I0622 17:45:44.976084   991 net.cpp:541] pool3/3x3_s2 -> pool3/3x3_s2
I0622 17:45:44.976130   991 net.cpp:259] Setting up pool3/3x3_s2
I0622 17:45:44.976136   991 net.cpp:266] TRAIN Top shape for layer 54 'pool3/3x3_s2' 3 480 24 78 (2695680)
I0622 17:45:44.976145   991 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2_pool3/3x3_s2_0_split' of type 'Split'
I0622 17:45:44.976150   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.976156   991 net.cpp:199] Created Layer pool3/3x3_s2_pool3/3x3_s2_0_split (55)
I0622 17:45:44.976161   991 net.cpp:571] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I0622 17:45:44.976167   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0622 17:45:44.976174   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0622 17:45:44.976181   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0622 17:45:44.976187   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0622 17:45:44.976241   991 net.cpp:259] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I0622 17:45:44.976249   991 net.cpp:266] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:44.976255   991 net.cpp:266] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:44.976266   991 net.cpp:266] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:44.976272   991 net.cpp:266] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:44.976280   991 layer_factory.hpp:172] Creating layer 'inception_4a/1x1' of type 'Convolution'
I0622 17:45:44.976286   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.976295   991 net.cpp:199] Created Layer inception_4a/1x1 (56)
I0622 17:45:44.976301   991 net.cpp:571] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0622 17:45:44.976307   991 net.cpp:541] inception_4a/1x1 -> inception_4a/1x1
I0622 17:45:44.977298   991 net.cpp:259] Setting up inception_4a/1x1
I0622 17:45:44.977308   991 net.cpp:266] TRAIN Top shape for layer 56 'inception_4a/1x1' 3 192 24 78 (1078272)
I0622 17:45:44.977316   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_1x1' of type 'ReLU'
I0622 17:45:44.977322   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.977329   991 net.cpp:199] Created Layer inception_4a/relu_1x1 (57)
I0622 17:45:44.977335   991 net.cpp:571] inception_4a/relu_1x1 <- inception_4a/1x1
I0622 17:45:44.977340   991 net.cpp:526] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I0622 17:45:44.977349   991 net.cpp:259] Setting up inception_4a/relu_1x1
I0622 17:45:44.977355   991 net.cpp:266] TRAIN Top shape for layer 57 'inception_4a/relu_1x1' 3 192 24 78 (1078272)
I0622 17:45:44.977361   991 layer_factory.hpp:172] Creating layer 'inception_4a/3x3_reduce' of type 'Convolution'
I0622 17:45:44.977367   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.977376   991 net.cpp:199] Created Layer inception_4a/3x3_reduce (58)
I0622 17:45:44.977382   991 net.cpp:571] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0622 17:45:44.977388   991 net.cpp:541] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I0622 17:45:44.978010   991 net.cpp:259] Setting up inception_4a/3x3_reduce
I0622 17:45:44.978018   991 net.cpp:266] TRAIN Top shape for layer 58 'inception_4a/3x3_reduce' 3 96 24 78 (539136)
I0622 17:45:44.978029   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.978035   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.978041   991 net.cpp:199] Created Layer inception_4a/relu_3x3_reduce (59)
I0622 17:45:44.978049   991 net.cpp:571] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I0622 17:45:44.978055   991 net.cpp:526] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I0622 17:45:44.978061   991 net.cpp:259] Setting up inception_4a/relu_3x3_reduce
I0622 17:45:44.978067   991 net.cpp:266] TRAIN Top shape for layer 59 'inception_4a/relu_3x3_reduce' 3 96 24 78 (539136)
I0622 17:45:44.978075   991 layer_factory.hpp:172] Creating layer 'inception_4a/3x3' of type 'Convolution'
I0622 17:45:44.978080   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.978090   991 net.cpp:199] Created Layer inception_4a/3x3 (60)
I0622 17:45:44.978096   991 net.cpp:571] inception_4a/3x3 <- inception_4a/3x3_reduce
I0622 17:45:44.978101   991 net.cpp:541] inception_4a/3x3 -> inception_4a/3x3
I0622 17:45:44.979818   991 net.cpp:259] Setting up inception_4a/3x3
I0622 17:45:44.979826   991 net.cpp:266] TRAIN Top shape for layer 60 'inception_4a/3x3' 3 208 24 78 (1168128)
I0622 17:45:44.979835   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3' of type 'ReLU'
I0622 17:45:44.979842   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.979848   991 net.cpp:199] Created Layer inception_4a/relu_3x3 (61)
I0622 17:45:44.979854   991 net.cpp:571] inception_4a/relu_3x3 <- inception_4a/3x3
I0622 17:45:44.979866   991 net.cpp:526] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I0622 17:45:44.979874   991 net.cpp:259] Setting up inception_4a/relu_3x3
I0622 17:45:44.979881   991 net.cpp:266] TRAIN Top shape for layer 61 'inception_4a/relu_3x3' 3 208 24 78 (1168128)
I0622 17:45:44.979887   991 layer_factory.hpp:172] Creating layer 'inception_4a/5x5_reduce' of type 'Convolution'
I0622 17:45:44.979893   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.979903   991 net.cpp:199] Created Layer inception_4a/5x5_reduce (62)
I0622 17:45:44.979909   991 net.cpp:571] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0622 17:45:44.979915   991 net.cpp:541] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I0622 17:45:44.980232   991 net.cpp:259] Setting up inception_4a/5x5_reduce
I0622 17:45:44.980239   991 net.cpp:266] TRAIN Top shape for layer 62 'inception_4a/5x5_reduce' 3 16 24 78 (89856)
I0622 17:45:44.980248   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:44.980254   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.980260   991 net.cpp:199] Created Layer inception_4a/relu_5x5_reduce (63)
I0622 17:45:44.980267   991 net.cpp:571] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I0622 17:45:44.980273   991 net.cpp:526] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I0622 17:45:44.980279   991 net.cpp:259] Setting up inception_4a/relu_5x5_reduce
I0622 17:45:44.980285   991 net.cpp:266] TRAIN Top shape for layer 63 'inception_4a/relu_5x5_reduce' 3 16 24 78 (89856)
I0622 17:45:44.980293   991 layer_factory.hpp:172] Creating layer 'inception_4a/5x5' of type 'Convolution'
I0622 17:45:44.980298   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.980309   991 net.cpp:199] Created Layer inception_4a/5x5 (64)
I0622 17:45:44.980314   991 net.cpp:571] inception_4a/5x5 <- inception_4a/5x5_reduce
I0622 17:45:44.980321   991 net.cpp:541] inception_4a/5x5 -> inception_4a/5x5
I0622 17:45:44.980736   991 net.cpp:259] Setting up inception_4a/5x5
I0622 17:45:44.980744   991 net.cpp:266] TRAIN Top shape for layer 64 'inception_4a/5x5' 3 48 24 78 (269568)
I0622 17:45:44.980754   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5' of type 'ReLU'
I0622 17:45:44.980760   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.980767   991 net.cpp:199] Created Layer inception_4a/relu_5x5 (65)
I0622 17:45:44.980772   991 net.cpp:571] inception_4a/relu_5x5 <- inception_4a/5x5
I0622 17:45:44.980778   991 net.cpp:526] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I0622 17:45:44.980785   991 net.cpp:259] Setting up inception_4a/relu_5x5
I0622 17:45:44.980792   991 net.cpp:266] TRAIN Top shape for layer 65 'inception_4a/relu_5x5' 3 48 24 78 (269568)
I0622 17:45:44.980798   991 layer_factory.hpp:172] Creating layer 'inception_4a/pool' of type 'Pooling'
I0622 17:45:44.980804   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.980813   991 net.cpp:199] Created Layer inception_4a/pool (66)
I0622 17:45:44.980819   991 net.cpp:571] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0622 17:45:44.980825   991 net.cpp:541] inception_4a/pool -> inception_4a/pool
I0622 17:45:44.980877   991 net.cpp:259] Setting up inception_4a/pool
I0622 17:45:44.980885   991 net.cpp:266] TRAIN Top shape for layer 66 'inception_4a/pool' 3 480 24 78 (2695680)
I0622 17:45:44.980892   991 layer_factory.hpp:172] Creating layer 'inception_4a/pool_proj' of type 'Convolution'
I0622 17:45:44.980898   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.980908   991 net.cpp:199] Created Layer inception_4a/pool_proj (67)
I0622 17:45:44.980914   991 net.cpp:571] inception_4a/pool_proj <- inception_4a/pool
I0622 17:45:44.980921   991 net.cpp:541] inception_4a/pool_proj -> inception_4a/pool_proj
I0622 17:45:44.981441   991 net.cpp:259] Setting up inception_4a/pool_proj
I0622 17:45:44.981449   991 net.cpp:266] TRAIN Top shape for layer 67 'inception_4a/pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.981459   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_pool_proj' of type 'ReLU'
I0622 17:45:44.981465   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.981472   991 net.cpp:199] Created Layer inception_4a/relu_pool_proj (68)
I0622 17:45:44.981477   991 net.cpp:571] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I0622 17:45:44.981484   991 net.cpp:526] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I0622 17:45:44.981492   991 net.cpp:259] Setting up inception_4a/relu_pool_proj
I0622 17:45:44.981498   991 net.cpp:266] TRAIN Top shape for layer 68 'inception_4a/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.981505   991 layer_factory.hpp:172] Creating layer 'inception_4a/output' of type 'Concat'
I0622 17:45:44.981511   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.981518   991 net.cpp:199] Created Layer inception_4a/output (69)
I0622 17:45:44.981524   991 net.cpp:571] inception_4a/output <- inception_4a/1x1
I0622 17:45:44.981530   991 net.cpp:571] inception_4a/output <- inception_4a/3x3
I0622 17:45:44.981536   991 net.cpp:571] inception_4a/output <- inception_4a/5x5
I0622 17:45:44.981541   991 net.cpp:571] inception_4a/output <- inception_4a/pool_proj
I0622 17:45:44.981547   991 net.cpp:541] inception_4a/output -> inception_4a/output
I0622 17:45:44.981572   991 net.cpp:259] Setting up inception_4a/output
I0622 17:45:44.981580   991 net.cpp:266] TRAIN Top shape for layer 69 'inception_4a/output' 3 512 24 78 (2875392)
I0622 17:45:44.981587   991 layer_factory.hpp:172] Creating layer 'inception_4a/output_inception_4a/output_0_split' of type 'Split'
I0622 17:45:44.981592   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.981600   991 net.cpp:199] Created Layer inception_4a/output_inception_4a/output_0_split (70)
I0622 17:45:44.981606   991 net.cpp:571] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I0622 17:45:44.981611   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I0622 17:45:44.981618   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I0622 17:45:44.981626   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I0622 17:45:44.981632   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I0622 17:45:44.981694   991 net.cpp:259] Setting up inception_4a/output_inception_4a/output_0_split
I0622 17:45:44.981701   991 net.cpp:266] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.981708   991 net.cpp:266] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.981714   991 net.cpp:266] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.981719   991 net.cpp:266] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.981726   991 layer_factory.hpp:172] Creating layer 'inception_4b/1x1' of type 'Convolution'
I0622 17:45:44.981731   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.981742   991 net.cpp:199] Created Layer inception_4b/1x1 (71)
I0622 17:45:44.981748   991 net.cpp:571] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_0
I0622 17:45:44.981755   991 net.cpp:541] inception_4b/1x1 -> inception_4b/1x1
I0622 17:45:44.982672   991 net.cpp:259] Setting up inception_4b/1x1
I0622 17:45:44.982687   991 net.cpp:266] TRAIN Top shape for layer 71 'inception_4b/1x1' 3 160 24 78 (898560)
I0622 17:45:44.982697   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_1x1' of type 'ReLU'
I0622 17:45:44.982702   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.982709   991 net.cpp:199] Created Layer inception_4b/relu_1x1 (72)
I0622 17:45:44.982715   991 net.cpp:571] inception_4b/relu_1x1 <- inception_4b/1x1
I0622 17:45:44.982722   991 net.cpp:526] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I0622 17:45:44.982729   991 net.cpp:259] Setting up inception_4b/relu_1x1
I0622 17:45:44.982735   991 net.cpp:266] TRAIN Top shape for layer 72 'inception_4b/relu_1x1' 3 160 24 78 (898560)
I0622 17:45:44.982743   991 layer_factory.hpp:172] Creating layer 'inception_4b/3x3_reduce' of type 'Convolution'
I0622 17:45:44.982748   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.982759   991 net.cpp:199] Created Layer inception_4b/3x3_reduce (73)
I0622 17:45:44.982765   991 net.cpp:571] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_1
I0622 17:45:44.982771   991 net.cpp:541] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I0622 17:45:44.983497   991 net.cpp:259] Setting up inception_4b/3x3_reduce
I0622 17:45:44.983506   991 net.cpp:266] TRAIN Top shape for layer 73 'inception_4b/3x3_reduce' 3 112 24 78 (628992)
I0622 17:45:44.983515   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.983521   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.983527   991 net.cpp:199] Created Layer inception_4b/relu_3x3_reduce (74)
I0622 17:45:44.983533   991 net.cpp:571] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I0622 17:45:44.983539   991 net.cpp:526] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I0622 17:45:44.983547   991 net.cpp:259] Setting up inception_4b/relu_3x3_reduce
I0622 17:45:44.983554   991 net.cpp:266] TRAIN Top shape for layer 74 'inception_4b/relu_3x3_reduce' 3 112 24 78 (628992)
I0622 17:45:44.983561   991 layer_factory.hpp:172] Creating layer 'inception_4b/3x3' of type 'Convolution'
I0622 17:45:44.983566   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.983579   991 net.cpp:199] Created Layer inception_4b/3x3 (75)
I0622 17:45:44.983584   991 net.cpp:571] inception_4b/3x3 <- inception_4b/3x3_reduce
I0622 17:45:44.983590   991 net.cpp:541] inception_4b/3x3 -> inception_4b/3x3
I0622 17:45:44.986299   991 net.cpp:259] Setting up inception_4b/3x3
I0622 17:45:44.986312   991 net.cpp:266] TRAIN Top shape for layer 75 'inception_4b/3x3' 3 224 24 78 (1257984)
I0622 17:45:44.986322   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3' of type 'ReLU'
I0622 17:45:44.986328   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.986335   991 net.cpp:199] Created Layer inception_4b/relu_3x3 (76)
I0622 17:45:44.986341   991 net.cpp:571] inception_4b/relu_3x3 <- inception_4b/3x3
I0622 17:45:44.986347   991 net.cpp:526] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I0622 17:45:44.986356   991 net.cpp:259] Setting up inception_4b/relu_3x3
I0622 17:45:44.986361   991 net.cpp:266] TRAIN Top shape for layer 76 'inception_4b/relu_3x3' 3 224 24 78 (1257984)
I0622 17:45:44.986369   991 layer_factory.hpp:172] Creating layer 'inception_4b/5x5_reduce' of type 'Convolution'
I0622 17:45:44.986374   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.986389   991 net.cpp:199] Created Layer inception_4b/5x5_reduce (77)
I0622 17:45:44.986395   991 net.cpp:571] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_2
I0622 17:45:44.986402   991 net.cpp:541] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I0622 17:45:44.986783   991 net.cpp:259] Setting up inception_4b/5x5_reduce
I0622 17:45:44.986793   991 net.cpp:266] TRAIN Top shape for layer 77 'inception_4b/5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:44.986801   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:44.986807   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.986814   991 net.cpp:199] Created Layer inception_4b/relu_5x5_reduce (78)
I0622 17:45:44.986819   991 net.cpp:571] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I0622 17:45:44.986825   991 net.cpp:526] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I0622 17:45:44.986834   991 net.cpp:259] Setting up inception_4b/relu_5x5_reduce
I0622 17:45:44.986840   991 net.cpp:266] TRAIN Top shape for layer 78 'inception_4b/relu_5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:44.986847   991 layer_factory.hpp:172] Creating layer 'inception_4b/5x5' of type 'Convolution'
I0622 17:45:44.986852   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.986863   991 net.cpp:199] Created Layer inception_4b/5x5 (79)
I0622 17:45:44.986869   991 net.cpp:571] inception_4b/5x5 <- inception_4b/5x5_reduce
I0622 17:45:44.986876   991 net.cpp:541] inception_4b/5x5 -> inception_4b/5x5
I0622 17:45:44.987447   991 net.cpp:259] Setting up inception_4b/5x5
I0622 17:45:44.987455   991 net.cpp:266] TRAIN Top shape for layer 79 'inception_4b/5x5' 3 64 24 78 (359424)
I0622 17:45:44.987464   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5' of type 'ReLU'
I0622 17:45:44.987470   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.987478   991 net.cpp:199] Created Layer inception_4b/relu_5x5 (80)
I0622 17:45:44.987483   991 net.cpp:571] inception_4b/relu_5x5 <- inception_4b/5x5
I0622 17:45:44.987488   991 net.cpp:526] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I0622 17:45:44.987496   991 net.cpp:259] Setting up inception_4b/relu_5x5
I0622 17:45:44.987502   991 net.cpp:266] TRAIN Top shape for layer 80 'inception_4b/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:44.987510   991 layer_factory.hpp:172] Creating layer 'inception_4b/pool' of type 'Pooling'
I0622 17:45:44.987515   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.987524   991 net.cpp:199] Created Layer inception_4b/pool (81)
I0622 17:45:44.987529   991 net.cpp:571] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_3
I0622 17:45:44.987535   991 net.cpp:541] inception_4b/pool -> inception_4b/pool
I0622 17:45:44.987592   991 net.cpp:259] Setting up inception_4b/pool
I0622 17:45:44.987599   991 net.cpp:266] TRAIN Top shape for layer 81 'inception_4b/pool' 3 512 24 78 (2875392)
I0622 17:45:44.987607   991 layer_factory.hpp:172] Creating layer 'inception_4b/pool_proj' of type 'Convolution'
I0622 17:45:44.987612   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.987623   991 net.cpp:199] Created Layer inception_4b/pool_proj (82)
I0622 17:45:44.987629   991 net.cpp:571] inception_4b/pool_proj <- inception_4b/pool
I0622 17:45:44.987635   991 net.cpp:541] inception_4b/pool_proj -> inception_4b/pool_proj
I0622 17:45:44.988163   991 net.cpp:259] Setting up inception_4b/pool_proj
I0622 17:45:44.988171   991 net.cpp:266] TRAIN Top shape for layer 82 'inception_4b/pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.988180   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_pool_proj' of type 'ReLU'
I0622 17:45:44.988186   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.988193   991 net.cpp:199] Created Layer inception_4b/relu_pool_proj (83)
I0622 17:45:44.988199   991 net.cpp:571] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I0622 17:45:44.988205   991 net.cpp:526] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I0622 17:45:44.988219   991 net.cpp:259] Setting up inception_4b/relu_pool_proj
I0622 17:45:44.988225   991 net.cpp:266] TRAIN Top shape for layer 83 'inception_4b/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.988234   991 layer_factory.hpp:172] Creating layer 'inception_4b/output' of type 'Concat'
I0622 17:45:44.988239   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.988245   991 net.cpp:199] Created Layer inception_4b/output (84)
I0622 17:45:44.988250   991 net.cpp:571] inception_4b/output <- inception_4b/1x1
I0622 17:45:44.988256   991 net.cpp:571] inception_4b/output <- inception_4b/3x3
I0622 17:45:44.988262   991 net.cpp:571] inception_4b/output <- inception_4b/5x5
I0622 17:45:44.988268   991 net.cpp:571] inception_4b/output <- inception_4b/pool_proj
I0622 17:45:44.988274   991 net.cpp:541] inception_4b/output -> inception_4b/output
I0622 17:45:44.988301   991 net.cpp:259] Setting up inception_4b/output
I0622 17:45:44.988307   991 net.cpp:266] TRAIN Top shape for layer 84 'inception_4b/output' 3 512 24 78 (2875392)
I0622 17:45:44.988314   991 layer_factory.hpp:172] Creating layer 'inception_4b/output_inception_4b/output_0_split' of type 'Split'
I0622 17:45:44.988320   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.988327   991 net.cpp:199] Created Layer inception_4b/output_inception_4b/output_0_split (85)
I0622 17:45:44.988333   991 net.cpp:571] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I0622 17:45:44.988339   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I0622 17:45:44.988348   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I0622 17:45:44.988353   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I0622 17:45:44.988359   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I0622 17:45:44.988423   991 net.cpp:259] Setting up inception_4b/output_inception_4b/output_0_split
I0622 17:45:44.988430   991 net.cpp:266] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.988436   991 net.cpp:266] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.988442   991 net.cpp:266] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.988448   991 net.cpp:266] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.988456   991 layer_factory.hpp:172] Creating layer 'inception_4c/1x1' of type 'Convolution'
I0622 17:45:44.988461   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.988472   991 net.cpp:199] Created Layer inception_4c/1x1 (86)
I0622 17:45:44.988478   991 net.cpp:571] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I0622 17:45:44.988484   991 net.cpp:541] inception_4c/1x1 -> inception_4c/1x1
I0622 17:45:44.989274   991 net.cpp:259] Setting up inception_4c/1x1
I0622 17:45:44.989281   991 net.cpp:266] TRAIN Top shape for layer 86 'inception_4c/1x1' 3 128 24 78 (718848)
I0622 17:45:44.989291   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_1x1' of type 'ReLU'
I0622 17:45:44.989297   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.989305   991 net.cpp:199] Created Layer inception_4c/relu_1x1 (87)
I0622 17:45:44.989310   991 net.cpp:571] inception_4c/relu_1x1 <- inception_4c/1x1
I0622 17:45:44.989316   991 net.cpp:526] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I0622 17:45:44.989325   991 net.cpp:259] Setting up inception_4c/relu_1x1
I0622 17:45:44.989331   991 net.cpp:266] TRAIN Top shape for layer 87 'inception_4c/relu_1x1' 3 128 24 78 (718848)
I0622 17:45:44.989343   991 layer_factory.hpp:172] Creating layer 'inception_4c/3x3_reduce' of type 'Convolution'
I0622 17:45:44.989348   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.989362   991 net.cpp:199] Created Layer inception_4c/3x3_reduce (88)
I0622 17:45:44.989367   991 net.cpp:571] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I0622 17:45:44.989373   991 net.cpp:541] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I0622 17:45:44.990161   991 net.cpp:259] Setting up inception_4c/3x3_reduce
I0622 17:45:44.990170   991 net.cpp:266] TRAIN Top shape for layer 88 'inception_4c/3x3_reduce' 3 128 24 78 (718848)
I0622 17:45:44.990180   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.990185   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.990191   991 net.cpp:199] Created Layer inception_4c/relu_3x3_reduce (89)
I0622 17:45:44.990197   991 net.cpp:571] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I0622 17:45:44.990203   991 net.cpp:526] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I0622 17:45:44.990211   991 net.cpp:259] Setting up inception_4c/relu_3x3_reduce
I0622 17:45:44.990216   991 net.cpp:266] TRAIN Top shape for layer 89 'inception_4c/relu_3x3_reduce' 3 128 24 78 (718848)
I0622 17:45:44.990224   991 layer_factory.hpp:172] Creating layer 'inception_4c/3x3' of type 'Convolution'
I0622 17:45:44.990229   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.990240   991 net.cpp:199] Created Layer inception_4c/3x3 (90)
I0622 17:45:44.990247   991 net.cpp:571] inception_4c/3x3 <- inception_4c/3x3_reduce
I0622 17:45:44.990253   991 net.cpp:541] inception_4c/3x3 -> inception_4c/3x3
I0622 17:45:44.992908   991 net.cpp:259] Setting up inception_4c/3x3
I0622 17:45:44.992915   991 net.cpp:266] TRAIN Top shape for layer 90 'inception_4c/3x3' 3 256 24 78 (1437696)
I0622 17:45:44.992924   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3' of type 'ReLU'
I0622 17:45:44.992930   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.992938   991 net.cpp:199] Created Layer inception_4c/relu_3x3 (91)
I0622 17:45:44.992944   991 net.cpp:571] inception_4c/relu_3x3 <- inception_4c/3x3
I0622 17:45:44.992949   991 net.cpp:526] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I0622 17:45:44.992957   991 net.cpp:259] Setting up inception_4c/relu_3x3
I0622 17:45:44.992964   991 net.cpp:266] TRAIN Top shape for layer 91 'inception_4c/relu_3x3' 3 256 24 78 (1437696)
I0622 17:45:44.992970   991 layer_factory.hpp:172] Creating layer 'inception_4c/5x5_reduce' of type 'Convolution'
I0622 17:45:44.992975   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.992987   991 net.cpp:199] Created Layer inception_4c/5x5_reduce (92)
I0622 17:45:44.992992   991 net.cpp:571] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I0622 17:45:44.992998   991 net.cpp:541] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I0622 17:45:44.993373   991 net.cpp:259] Setting up inception_4c/5x5_reduce
I0622 17:45:44.993382   991 net.cpp:266] TRAIN Top shape for layer 92 'inception_4c/5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:44.993391   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:44.993397   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.993403   991 net.cpp:199] Created Layer inception_4c/relu_5x5_reduce (93)
I0622 17:45:44.993410   991 net.cpp:571] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I0622 17:45:44.993415   991 net.cpp:526] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I0622 17:45:44.993422   991 net.cpp:259] Setting up inception_4c/relu_5x5_reduce
I0622 17:45:44.993434   991 net.cpp:266] TRAIN Top shape for layer 93 'inception_4c/relu_5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:44.993443   991 layer_factory.hpp:172] Creating layer 'inception_4c/5x5' of type 'Convolution'
I0622 17:45:44.993448   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.993459   991 net.cpp:199] Created Layer inception_4c/5x5 (94)
I0622 17:45:44.993465   991 net.cpp:571] inception_4c/5x5 <- inception_4c/5x5_reduce
I0622 17:45:44.993471   991 net.cpp:541] inception_4c/5x5 -> inception_4c/5x5
I0622 17:45:44.994657   991 net.cpp:259] Setting up inception_4c/5x5
I0622 17:45:44.994666   991 net.cpp:266] TRAIN Top shape for layer 94 'inception_4c/5x5' 3 64 24 78 (359424)
I0622 17:45:44.994676   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5' of type 'ReLU'
I0622 17:45:44.994683   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.994690   991 net.cpp:199] Created Layer inception_4c/relu_5x5 (95)
I0622 17:45:44.994696   991 net.cpp:571] inception_4c/relu_5x5 <- inception_4c/5x5
I0622 17:45:44.994704   991 net.cpp:526] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I0622 17:45:44.994711   991 net.cpp:259] Setting up inception_4c/relu_5x5
I0622 17:45:44.994717   991 net.cpp:266] TRAIN Top shape for layer 95 'inception_4c/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:44.994724   991 layer_factory.hpp:172] Creating layer 'inception_4c/pool' of type 'Pooling'
I0622 17:45:44.994729   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.994738   991 net.cpp:199] Created Layer inception_4c/pool (96)
I0622 17:45:44.994743   991 net.cpp:571] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I0622 17:45:44.994750   991 net.cpp:541] inception_4c/pool -> inception_4c/pool
I0622 17:45:44.994807   991 net.cpp:259] Setting up inception_4c/pool
I0622 17:45:44.994814   991 net.cpp:266] TRAIN Top shape for layer 96 'inception_4c/pool' 3 512 24 78 (2875392)
I0622 17:45:44.994822   991 layer_factory.hpp:172] Creating layer 'inception_4c/pool_proj' of type 'Convolution'
I0622 17:45:44.994827   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.994840   991 net.cpp:199] Created Layer inception_4c/pool_proj (97)
I0622 17:45:44.994846   991 net.cpp:571] inception_4c/pool_proj <- inception_4c/pool
I0622 17:45:44.994853   991 net.cpp:541] inception_4c/pool_proj -> inception_4c/pool_proj
I0622 17:45:44.995381   991 net.cpp:259] Setting up inception_4c/pool_proj
I0622 17:45:44.995389   991 net.cpp:266] TRAIN Top shape for layer 97 'inception_4c/pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.995404   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_pool_proj' of type 'ReLU'
I0622 17:45:44.995409   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.995417   991 net.cpp:199] Created Layer inception_4c/relu_pool_proj (98)
I0622 17:45:44.995424   991 net.cpp:571] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I0622 17:45:44.995429   991 net.cpp:526] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I0622 17:45:44.995437   991 net.cpp:259] Setting up inception_4c/relu_pool_proj
I0622 17:45:44.995443   991 net.cpp:266] TRAIN Top shape for layer 98 'inception_4c/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:44.995450   991 layer_factory.hpp:172] Creating layer 'inception_4c/output' of type 'Concat'
I0622 17:45:44.995456   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.995462   991 net.cpp:199] Created Layer inception_4c/output (99)
I0622 17:45:44.995467   991 net.cpp:571] inception_4c/output <- inception_4c/1x1
I0622 17:45:44.995473   991 net.cpp:571] inception_4c/output <- inception_4c/3x3
I0622 17:45:44.995481   991 net.cpp:571] inception_4c/output <- inception_4c/5x5
I0622 17:45:44.995494   991 net.cpp:571] inception_4c/output <- inception_4c/pool_proj
I0622 17:45:44.995501   991 net.cpp:541] inception_4c/output -> inception_4c/output
I0622 17:45:44.995528   991 net.cpp:259] Setting up inception_4c/output
I0622 17:45:44.995535   991 net.cpp:266] TRAIN Top shape for layer 99 'inception_4c/output' 3 512 24 78 (2875392)
I0622 17:45:44.995543   991 layer_factory.hpp:172] Creating layer 'inception_4c/output_inception_4c/output_0_split' of type 'Split'
I0622 17:45:44.995548   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.995555   991 net.cpp:199] Created Layer inception_4c/output_inception_4c/output_0_split (100)
I0622 17:45:44.995563   991 net.cpp:571] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I0622 17:45:44.995568   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I0622 17:45:44.995575   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I0622 17:45:44.995582   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I0622 17:45:44.995589   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I0622 17:45:44.995652   991 net.cpp:259] Setting up inception_4c/output_inception_4c/output_0_split
I0622 17:45:44.995659   991 net.cpp:266] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.995666   991 net.cpp:266] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.995671   991 net.cpp:266] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.995677   991 net.cpp:266] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:44.995684   991 layer_factory.hpp:172] Creating layer 'inception_4d/1x1' of type 'Convolution'
I0622 17:45:44.995689   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.995702   991 net.cpp:199] Created Layer inception_4d/1x1 (101)
I0622 17:45:44.995707   991 net.cpp:571] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I0622 17:45:44.995713   991 net.cpp:541] inception_4d/1x1 -> inception_4d/1x1
I0622 17:45:44.996445   991 net.cpp:259] Setting up inception_4d/1x1
I0622 17:45:44.996454   991 net.cpp:266] TRAIN Top shape for layer 101 'inception_4d/1x1' 3 112 24 78 (628992)
I0622 17:45:44.996462   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_1x1' of type 'ReLU'
I0622 17:45:44.996469   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.996476   991 net.cpp:199] Created Layer inception_4d/relu_1x1 (102)
I0622 17:45:44.996482   991 net.cpp:571] inception_4d/relu_1x1 <- inception_4d/1x1
I0622 17:45:44.996489   991 net.cpp:526] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I0622 17:45:44.996496   991 net.cpp:259] Setting up inception_4d/relu_1x1
I0622 17:45:44.996502   991 net.cpp:266] TRAIN Top shape for layer 102 'inception_4d/relu_1x1' 3 112 24 78 (628992)
I0622 17:45:44.996510   991 layer_factory.hpp:172] Creating layer 'inception_4d/3x3_reduce' of type 'Convolution'
I0622 17:45:44.996515   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.996526   991 net.cpp:199] Created Layer inception_4d/3x3_reduce (103)
I0622 17:45:44.996531   991 net.cpp:571] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I0622 17:45:44.996538   991 net.cpp:541] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I0622 17:45:44.997956   991 net.cpp:259] Setting up inception_4d/3x3_reduce
I0622 17:45:44.997967   991 net.cpp:266] TRAIN Top shape for layer 103 'inception_4d/3x3_reduce' 3 144 24 78 (808704)
I0622 17:45:44.997982   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:44.997988   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.997997   991 net.cpp:199] Created Layer inception_4d/relu_3x3_reduce (104)
I0622 17:45:44.998003   991 net.cpp:571] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I0622 17:45:44.998009   991 net.cpp:526] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I0622 17:45:44.998018   991 net.cpp:259] Setting up inception_4d/relu_3x3_reduce
I0622 17:45:44.998023   991 net.cpp:266] TRAIN Top shape for layer 104 'inception_4d/relu_3x3_reduce' 3 144 24 78 (808704)
I0622 17:45:44.998030   991 layer_factory.hpp:172] Creating layer 'inception_4d/3x3' of type 'Convolution'
I0622 17:45:44.998036   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:44.998049   991 net.cpp:199] Created Layer inception_4d/3x3 (105)
I0622 17:45:44.998054   991 net.cpp:571] inception_4d/3x3 <- inception_4d/3x3_reduce
I0622 17:45:44.998060   991 net.cpp:541] inception_4d/3x3 -> inception_4d/3x3
I0622 17:45:45.001909   991 net.cpp:259] Setting up inception_4d/3x3
I0622 17:45:45.001920   991 net.cpp:266] TRAIN Top shape for layer 105 'inception_4d/3x3' 3 288 24 78 (1617408)
I0622 17:45:45.001930   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3' of type 'ReLU'
I0622 17:45:45.001935   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.001943   991 net.cpp:199] Created Layer inception_4d/relu_3x3 (106)
I0622 17:45:45.001950   991 net.cpp:571] inception_4d/relu_3x3 <- inception_4d/3x3
I0622 17:45:45.001955   991 net.cpp:526] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I0622 17:45:45.001963   991 net.cpp:259] Setting up inception_4d/relu_3x3
I0622 17:45:45.001969   991 net.cpp:266] TRAIN Top shape for layer 106 'inception_4d/relu_3x3' 3 288 24 78 (1617408)
I0622 17:45:45.001976   991 layer_factory.hpp:172] Creating layer 'inception_4d/5x5_reduce' of type 'Convolution'
I0622 17:45:45.001982   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.001994   991 net.cpp:199] Created Layer inception_4d/5x5_reduce (107)
I0622 17:45:45.002001   991 net.cpp:571] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I0622 17:45:45.002007   991 net.cpp:541] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I0622 17:45:45.002424   991 net.cpp:259] Setting up inception_4d/5x5_reduce
I0622 17:45:45.002431   991 net.cpp:266] TRAIN Top shape for layer 107 'inception_4d/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.002440   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.002446   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.002454   991 net.cpp:199] Created Layer inception_4d/relu_5x5_reduce (108)
I0622 17:45:45.002460   991 net.cpp:571] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I0622 17:45:45.002465   991 net.cpp:526] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I0622 17:45:45.002473   991 net.cpp:259] Setting up inception_4d/relu_5x5_reduce
I0622 17:45:45.002480   991 net.cpp:266] TRAIN Top shape for layer 108 'inception_4d/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.002487   991 layer_factory.hpp:172] Creating layer 'inception_4d/5x5' of type 'Convolution'
I0622 17:45:45.002493   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.002503   991 net.cpp:199] Created Layer inception_4d/5x5 (109)
I0622 17:45:45.002509   991 net.cpp:571] inception_4d/5x5 <- inception_4d/5x5_reduce
I0622 17:45:45.002516   991 net.cpp:541] inception_4d/5x5 -> inception_4d/5x5
I0622 17:45:45.003221   991 net.cpp:259] Setting up inception_4d/5x5
I0622 17:45:45.003231   991 net.cpp:266] TRAIN Top shape for layer 109 'inception_4d/5x5' 3 64 24 78 (359424)
I0622 17:45:45.003247   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5' of type 'ReLU'
I0622 17:45:45.003253   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.003262   991 net.cpp:199] Created Layer inception_4d/relu_5x5 (110)
I0622 17:45:45.003268   991 net.cpp:571] inception_4d/relu_5x5 <- inception_4d/5x5
I0622 17:45:45.003274   991 net.cpp:526] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I0622 17:45:45.003283   991 net.cpp:259] Setting up inception_4d/relu_5x5
I0622 17:45:45.003288   991 net.cpp:266] TRAIN Top shape for layer 110 'inception_4d/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:45.003296   991 layer_factory.hpp:172] Creating layer 'inception_4d/pool' of type 'Pooling'
I0622 17:45:45.003301   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.003309   991 net.cpp:199] Created Layer inception_4d/pool (111)
I0622 17:45:45.003315   991 net.cpp:571] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I0622 17:45:45.003322   991 net.cpp:541] inception_4d/pool -> inception_4d/pool
I0622 17:45:45.003379   991 net.cpp:259] Setting up inception_4d/pool
I0622 17:45:45.003386   991 net.cpp:266] TRAIN Top shape for layer 111 'inception_4d/pool' 3 512 24 78 (2875392)
I0622 17:45:45.003393   991 layer_factory.hpp:172] Creating layer 'inception_4d/pool_proj' of type 'Convolution'
I0622 17:45:45.003399   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.003410   991 net.cpp:199] Created Layer inception_4d/pool_proj (112)
I0622 17:45:45.003417   991 net.cpp:571] inception_4d/pool_proj <- inception_4d/pool
I0622 17:45:45.003423   991 net.cpp:541] inception_4d/pool_proj -> inception_4d/pool_proj
I0622 17:45:45.003957   991 net.cpp:259] Setting up inception_4d/pool_proj
I0622 17:45:45.003965   991 net.cpp:266] TRAIN Top shape for layer 112 'inception_4d/pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.003974   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.003979   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.003988   991 net.cpp:199] Created Layer inception_4d/relu_pool_proj (113)
I0622 17:45:45.003993   991 net.cpp:571] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I0622 17:45:45.003998   991 net.cpp:526] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I0622 17:45:45.004006   991 net.cpp:259] Setting up inception_4d/relu_pool_proj
I0622 17:45:45.004014   991 net.cpp:266] TRAIN Top shape for layer 113 'inception_4d/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.004020   991 layer_factory.hpp:172] Creating layer 'inception_4d/output' of type 'Concat'
I0622 17:45:45.004026   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.004032   991 net.cpp:199] Created Layer inception_4d/output (114)
I0622 17:45:45.004039   991 net.cpp:571] inception_4d/output <- inception_4d/1x1
I0622 17:45:45.004045   991 net.cpp:571] inception_4d/output <- inception_4d/3x3
I0622 17:45:45.004050   991 net.cpp:571] inception_4d/output <- inception_4d/5x5
I0622 17:45:45.004055   991 net.cpp:571] inception_4d/output <- inception_4d/pool_proj
I0622 17:45:45.004061   991 net.cpp:541] inception_4d/output -> inception_4d/output
I0622 17:45:45.004088   991 net.cpp:259] Setting up inception_4d/output
I0622 17:45:45.004096   991 net.cpp:266] TRAIN Top shape for layer 114 'inception_4d/output' 3 528 24 78 (2965248)
I0622 17:45:45.004102   991 layer_factory.hpp:172] Creating layer 'inception_4d/output_inception_4d/output_0_split' of type 'Split'
I0622 17:45:45.004108   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.004115   991 net.cpp:199] Created Layer inception_4d/output_inception_4d/output_0_split (115)
I0622 17:45:45.004122   991 net.cpp:571] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I0622 17:45:45.004133   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I0622 17:45:45.004142   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I0622 17:45:45.004148   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I0622 17:45:45.004155   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I0622 17:45:45.004222   991 net.cpp:259] Setting up inception_4d/output_inception_4d/output_0_split
I0622 17:45:45.004230   991 net.cpp:266] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.004236   991 net.cpp:266] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.004242   991 net.cpp:266] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.004247   991 net.cpp:266] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.004256   991 layer_factory.hpp:172] Creating layer 'inception_4e/1x1' of type 'Convolution'
I0622 17:45:45.004261   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.004271   991 net.cpp:199] Created Layer inception_4e/1x1 (116)
I0622 17:45:45.004277   991 net.cpp:571] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_0
I0622 17:45:45.004284   991 net.cpp:541] inception_4e/1x1 -> inception_4e/1x1
I0622 17:45:45.006191   991 net.cpp:259] Setting up inception_4e/1x1
I0622 17:45:45.006201   991 net.cpp:266] TRAIN Top shape for layer 116 'inception_4e/1x1' 3 256 24 78 (1437696)
I0622 17:45:45.006211   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_1x1' of type 'ReLU'
I0622 17:45:45.006217   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.006224   991 net.cpp:199] Created Layer inception_4e/relu_1x1 (117)
I0622 17:45:45.006230   991 net.cpp:571] inception_4e/relu_1x1 <- inception_4e/1x1
I0622 17:45:45.006237   991 net.cpp:526] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I0622 17:45:45.006245   991 net.cpp:259] Setting up inception_4e/relu_1x1
I0622 17:45:45.006251   991 net.cpp:266] TRAIN Top shape for layer 117 'inception_4e/relu_1x1' 3 256 24 78 (1437696)
I0622 17:45:45.006259   991 layer_factory.hpp:172] Creating layer 'inception_4e/3x3_reduce' of type 'Convolution'
I0622 17:45:45.006264   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.006276   991 net.cpp:199] Created Layer inception_4e/3x3_reduce (118)
I0622 17:45:45.006283   991 net.cpp:571] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_1
I0622 17:45:45.006289   991 net.cpp:541] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I0622 17:45:45.007292   991 net.cpp:259] Setting up inception_4e/3x3_reduce
I0622 17:45:45.007300   991 net.cpp:266] TRAIN Top shape for layer 118 'inception_4e/3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.007310   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.007315   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.007323   991 net.cpp:199] Created Layer inception_4e/relu_3x3_reduce (119)
I0622 17:45:45.007329   991 net.cpp:571] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I0622 17:45:45.007335   991 net.cpp:526] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I0622 17:45:45.007342   991 net.cpp:259] Setting up inception_4e/relu_3x3_reduce
I0622 17:45:45.007349   991 net.cpp:266] TRAIN Top shape for layer 119 'inception_4e/relu_3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.007364   991 layer_factory.hpp:172] Creating layer 'inception_4e/3x3' of type 'Convolution'
I0622 17:45:45.007369   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.007380   991 net.cpp:199] Created Layer inception_4e/3x3 (120)
I0622 17:45:45.007386   991 net.cpp:571] inception_4e/3x3 <- inception_4e/3x3_reduce
I0622 17:45:45.007393   991 net.cpp:541] inception_4e/3x3 -> inception_4e/3x3
I0622 17:45:45.011953   991 net.cpp:259] Setting up inception_4e/3x3
I0622 17:45:45.011965   991 net.cpp:266] TRAIN Top shape for layer 120 'inception_4e/3x3' 3 320 24 78 (1797120)
I0622 17:45:45.011975   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3' of type 'ReLU'
I0622 17:45:45.011981   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.011988   991 net.cpp:199] Created Layer inception_4e/relu_3x3 (121)
I0622 17:45:45.011994   991 net.cpp:571] inception_4e/relu_3x3 <- inception_4e/3x3
I0622 17:45:45.012001   991 net.cpp:526] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I0622 17:45:45.012008   991 net.cpp:259] Setting up inception_4e/relu_3x3
I0622 17:45:45.012015   991 net.cpp:266] TRAIN Top shape for layer 121 'inception_4e/relu_3x3' 3 320 24 78 (1797120)
I0622 17:45:45.012022   991 layer_factory.hpp:172] Creating layer 'inception_4e/5x5_reduce' of type 'Convolution'
I0622 17:45:45.012027   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.012039   991 net.cpp:199] Created Layer inception_4e/5x5_reduce (122)
I0622 17:45:45.012045   991 net.cpp:571] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_2
I0622 17:45:45.012051   991 net.cpp:541] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I0622 17:45:45.012471   991 net.cpp:259] Setting up inception_4e/5x5_reduce
I0622 17:45:45.012480   991 net.cpp:266] TRAIN Top shape for layer 122 'inception_4e/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.012490   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.012495   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.012502   991 net.cpp:199] Created Layer inception_4e/relu_5x5_reduce (123)
I0622 17:45:45.012508   991 net.cpp:571] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I0622 17:45:45.012514   991 net.cpp:526] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I0622 17:45:45.012522   991 net.cpp:259] Setting up inception_4e/relu_5x5_reduce
I0622 17:45:45.012528   991 net.cpp:266] TRAIN Top shape for layer 123 'inception_4e/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.012536   991 layer_factory.hpp:172] Creating layer 'inception_4e/5x5' of type 'Convolution'
I0622 17:45:45.012542   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.012552   991 net.cpp:199] Created Layer inception_4e/5x5 (124)
I0622 17:45:45.012557   991 net.cpp:571] inception_4e/5x5 <- inception_4e/5x5_reduce
I0622 17:45:45.012564   991 net.cpp:541] inception_4e/5x5 -> inception_4e/5x5
I0622 17:45:45.013676   991 net.cpp:259] Setting up inception_4e/5x5
I0622 17:45:45.013685   991 net.cpp:266] TRAIN Top shape for layer 124 'inception_4e/5x5' 3 128 24 78 (718848)
I0622 17:45:45.013695   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5' of type 'ReLU'
I0622 17:45:45.013700   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.013707   991 net.cpp:199] Created Layer inception_4e/relu_5x5 (125)
I0622 17:45:45.013712   991 net.cpp:571] inception_4e/relu_5x5 <- inception_4e/5x5
I0622 17:45:45.013718   991 net.cpp:526] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I0622 17:45:45.013727   991 net.cpp:259] Setting up inception_4e/relu_5x5
I0622 17:45:45.013733   991 net.cpp:266] TRAIN Top shape for layer 125 'inception_4e/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.013748   991 layer_factory.hpp:172] Creating layer 'inception_4e/pool' of type 'Pooling'
I0622 17:45:45.013753   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.013762   991 net.cpp:199] Created Layer inception_4e/pool (126)
I0622 17:45:45.013768   991 net.cpp:571] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_3
I0622 17:45:45.013774   991 net.cpp:541] inception_4e/pool -> inception_4e/pool
I0622 17:45:45.013833   991 net.cpp:259] Setting up inception_4e/pool
I0622 17:45:45.013841   991 net.cpp:266] TRAIN Top shape for layer 126 'inception_4e/pool' 3 528 24 78 (2965248)
I0622 17:45:45.013849   991 layer_factory.hpp:172] Creating layer 'inception_4e/pool_proj' of type 'Convolution'
I0622 17:45:45.013854   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.013865   991 net.cpp:199] Created Layer inception_4e/pool_proj (127)
I0622 17:45:45.013871   991 net.cpp:571] inception_4e/pool_proj <- inception_4e/pool
I0622 17:45:45.013877   991 net.cpp:541] inception_4e/pool_proj -> inception_4e/pool_proj
I0622 17:45:45.014699   991 net.cpp:259] Setting up inception_4e/pool_proj
I0622 17:45:45.014708   991 net.cpp:266] TRAIN Top shape for layer 127 'inception_4e/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.014717   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.014724   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.014734   991 net.cpp:199] Created Layer inception_4e/relu_pool_proj (128)
I0622 17:45:45.014740   991 net.cpp:571] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I0622 17:45:45.014747   991 net.cpp:526] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I0622 17:45:45.014755   991 net.cpp:259] Setting up inception_4e/relu_pool_proj
I0622 17:45:45.014760   991 net.cpp:266] TRAIN Top shape for layer 128 'inception_4e/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.014767   991 layer_factory.hpp:172] Creating layer 'inception_4e/output' of type 'Concat'
I0622 17:45:45.014773   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.014780   991 net.cpp:199] Created Layer inception_4e/output (129)
I0622 17:45:45.014786   991 net.cpp:571] inception_4e/output <- inception_4e/1x1
I0622 17:45:45.014791   991 net.cpp:571] inception_4e/output <- inception_4e/3x3
I0622 17:45:45.014797   991 net.cpp:571] inception_4e/output <- inception_4e/5x5
I0622 17:45:45.014803   991 net.cpp:571] inception_4e/output <- inception_4e/pool_proj
I0622 17:45:45.014809   991 net.cpp:541] inception_4e/output -> inception_4e/output
I0622 17:45:45.014835   991 net.cpp:259] Setting up inception_4e/output
I0622 17:45:45.014842   991 net.cpp:266] TRAIN Top shape for layer 129 'inception_4e/output' 3 832 24 78 (4672512)
I0622 17:45:45.014849   991 layer_factory.hpp:172] Creating layer 'inception_4e/output_inception_4e/output_0_split' of type 'Split'
I0622 17:45:45.014855   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.014861   991 net.cpp:199] Created Layer inception_4e/output_inception_4e/output_0_split (130)
I0622 17:45:45.014868   991 net.cpp:571] inception_4e/output_inception_4e/output_0_split <- inception_4e/output
I0622 17:45:45.014874   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_0
I0622 17:45:45.014881   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_1
I0622 17:45:45.014889   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_2
I0622 17:45:45.014895   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_3
I0622 17:45:45.014961   991 net.cpp:259] Setting up inception_4e/output_inception_4e/output_0_split
I0622 17:45:45.014973   991 net.cpp:266] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.014979   991 net.cpp:266] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.014986   991 net.cpp:266] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.014992   991 net.cpp:266] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.014999   991 layer_factory.hpp:172] Creating layer 'inception_5a/1x1' of type 'Convolution'
I0622 17:45:45.015005   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.015017   991 net.cpp:199] Created Layer inception_5a/1x1 (131)
I0622 17:45:45.015023   991 net.cpp:571] inception_5a/1x1 <- inception_4e/output_inception_4e/output_0_split_0
I0622 17:45:45.015029   991 net.cpp:541] inception_5a/1x1 -> inception_5a/1x1
I0622 17:45:45.017590   991 net.cpp:259] Setting up inception_5a/1x1
I0622 17:45:45.017603   991 net.cpp:266] TRAIN Top shape for layer 131 'inception_5a/1x1' 3 256 24 78 (1437696)
I0622 17:45:45.017612   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_1x1' of type 'ReLU'
I0622 17:45:45.017619   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.017626   991 net.cpp:199] Created Layer inception_5a/relu_1x1 (132)
I0622 17:45:45.017632   991 net.cpp:571] inception_5a/relu_1x1 <- inception_5a/1x1
I0622 17:45:45.017638   991 net.cpp:526] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I0622 17:45:45.017645   991 net.cpp:259] Setting up inception_5a/relu_1x1
I0622 17:45:45.017652   991 net.cpp:266] TRAIN Top shape for layer 132 'inception_5a/relu_1x1' 3 256 24 78 (1437696)
I0622 17:45:45.017659   991 layer_factory.hpp:172] Creating layer 'inception_5a/3x3_reduce' of type 'Convolution'
I0622 17:45:45.017665   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.017676   991 net.cpp:199] Created Layer inception_5a/3x3_reduce (133)
I0622 17:45:45.017683   991 net.cpp:571] inception_5a/3x3_reduce <- inception_4e/output_inception_4e/output_0_split_1
I0622 17:45:45.017689   991 net.cpp:541] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I0622 17:45:45.019052   991 net.cpp:259] Setting up inception_5a/3x3_reduce
I0622 17:45:45.019059   991 net.cpp:266] TRAIN Top shape for layer 133 'inception_5a/3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.019068   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.019074   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.019083   991 net.cpp:199] Created Layer inception_5a/relu_3x3_reduce (134)
I0622 17:45:45.019088   991 net.cpp:571] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I0622 17:45:45.019094   991 net.cpp:526] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I0622 17:45:45.019102   991 net.cpp:259] Setting up inception_5a/relu_3x3_reduce
I0622 17:45:45.019109   991 net.cpp:266] TRAIN Top shape for layer 134 'inception_5a/relu_3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.019116   991 layer_factory.hpp:172] Creating layer 'inception_5a/3x3' of type 'Convolution'
I0622 17:45:45.019121   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.019132   991 net.cpp:199] Created Layer inception_5a/3x3 (135)
I0622 17:45:45.019138   991 net.cpp:571] inception_5a/3x3 <- inception_5a/3x3_reduce
I0622 17:45:45.019145   991 net.cpp:541] inception_5a/3x3 -> inception_5a/3x3
I0622 17:45:45.023725   991 net.cpp:259] Setting up inception_5a/3x3
I0622 17:45:45.023736   991 net.cpp:266] TRAIN Top shape for layer 135 'inception_5a/3x3' 3 320 24 78 (1797120)
I0622 17:45:45.023746   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3' of type 'ReLU'
I0622 17:45:45.023763   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.023772   991 net.cpp:199] Created Layer inception_5a/relu_3x3 (136)
I0622 17:45:45.023778   991 net.cpp:571] inception_5a/relu_3x3 <- inception_5a/3x3
I0622 17:45:45.023785   991 net.cpp:526] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I0622 17:45:45.023792   991 net.cpp:259] Setting up inception_5a/relu_3x3
I0622 17:45:45.023799   991 net.cpp:266] TRAIN Top shape for layer 136 'inception_5a/relu_3x3' 3 320 24 78 (1797120)
I0622 17:45:45.023807   991 layer_factory.hpp:172] Creating layer 'inception_5a/5x5_reduce' of type 'Convolution'
I0622 17:45:45.023813   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.023824   991 net.cpp:199] Created Layer inception_5a/5x5_reduce (137)
I0622 17:45:45.023830   991 net.cpp:571] inception_5a/5x5_reduce <- inception_4e/output_inception_4e/output_0_split_2
I0622 17:45:45.023838   991 net.cpp:541] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I0622 17:45:45.024343   991 net.cpp:259] Setting up inception_5a/5x5_reduce
I0622 17:45:45.024353   991 net.cpp:266] TRAIN Top shape for layer 137 'inception_5a/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.024361   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.024368   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.024374   991 net.cpp:199] Created Layer inception_5a/relu_5x5_reduce (138)
I0622 17:45:45.024379   991 net.cpp:571] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I0622 17:45:45.024385   991 net.cpp:526] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I0622 17:45:45.024394   991 net.cpp:259] Setting up inception_5a/relu_5x5_reduce
I0622 17:45:45.024399   991 net.cpp:266] TRAIN Top shape for layer 138 'inception_5a/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.024407   991 layer_factory.hpp:172] Creating layer 'inception_5a/5x5' of type 'Convolution'
I0622 17:45:45.024412   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.024425   991 net.cpp:199] Created Layer inception_5a/5x5 (139)
I0622 17:45:45.024431   991 net.cpp:571] inception_5a/5x5 <- inception_5a/5x5_reduce
I0622 17:45:45.024437   991 net.cpp:541] inception_5a/5x5 -> inception_5a/5x5
I0622 17:45:45.025544   991 net.cpp:259] Setting up inception_5a/5x5
I0622 17:45:45.025555   991 net.cpp:266] TRAIN Top shape for layer 139 'inception_5a/5x5' 3 128 24 78 (718848)
I0622 17:45:45.025564   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5' of type 'ReLU'
I0622 17:45:45.025569   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.025576   991 net.cpp:199] Created Layer inception_5a/relu_5x5 (140)
I0622 17:45:45.025583   991 net.cpp:571] inception_5a/relu_5x5 <- inception_5a/5x5
I0622 17:45:45.025588   991 net.cpp:526] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I0622 17:45:45.025595   991 net.cpp:259] Setting up inception_5a/relu_5x5
I0622 17:45:45.025601   991 net.cpp:266] TRAIN Top shape for layer 140 'inception_5a/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.025609   991 layer_factory.hpp:172] Creating layer 'inception_5a/pool' of type 'Pooling'
I0622 17:45:45.025614   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.025624   991 net.cpp:199] Created Layer inception_5a/pool (141)
I0622 17:45:45.025629   991 net.cpp:571] inception_5a/pool <- inception_4e/output_inception_4e/output_0_split_3
I0622 17:45:45.025636   991 net.cpp:541] inception_5a/pool -> inception_5a/pool
I0622 17:45:45.025694   991 net.cpp:259] Setting up inception_5a/pool
I0622 17:45:45.025701   991 net.cpp:266] TRAIN Top shape for layer 141 'inception_5a/pool' 3 832 24 78 (4672512)
I0622 17:45:45.025709   991 layer_factory.hpp:172] Creating layer 'inception_5a/pool_proj' of type 'Convolution'
I0622 17:45:45.025722   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.025734   991 net.cpp:199] Created Layer inception_5a/pool_proj (142)
I0622 17:45:45.025741   991 net.cpp:571] inception_5a/pool_proj <- inception_5a/pool
I0622 17:45:45.025748   991 net.cpp:541] inception_5a/pool_proj -> inception_5a/pool_proj
I0622 17:45:45.026896   991 net.cpp:259] Setting up inception_5a/pool_proj
I0622 17:45:45.026904   991 net.cpp:266] TRAIN Top shape for layer 142 'inception_5a/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.026913   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.026919   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.026926   991 net.cpp:199] Created Layer inception_5a/relu_pool_proj (143)
I0622 17:45:45.026932   991 net.cpp:571] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I0622 17:45:45.026937   991 net.cpp:526] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I0622 17:45:45.026945   991 net.cpp:259] Setting up inception_5a/relu_pool_proj
I0622 17:45:45.026952   991 net.cpp:266] TRAIN Top shape for layer 143 'inception_5a/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.026959   991 layer_factory.hpp:172] Creating layer 'inception_5a/output' of type 'Concat'
I0622 17:45:45.026965   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.026971   991 net.cpp:199] Created Layer inception_5a/output (144)
I0622 17:45:45.026978   991 net.cpp:571] inception_5a/output <- inception_5a/1x1
I0622 17:45:45.026983   991 net.cpp:571] inception_5a/output <- inception_5a/3x3
I0622 17:45:45.026989   991 net.cpp:571] inception_5a/output <- inception_5a/5x5
I0622 17:45:45.026994   991 net.cpp:571] inception_5a/output <- inception_5a/pool_proj
I0622 17:45:45.027001   991 net.cpp:541] inception_5a/output -> inception_5a/output
I0622 17:45:45.027027   991 net.cpp:259] Setting up inception_5a/output
I0622 17:45:45.027034   991 net.cpp:266] TRAIN Top shape for layer 144 'inception_5a/output' 3 832 24 78 (4672512)
I0622 17:45:45.027041   991 layer_factory.hpp:172] Creating layer 'inception_5a/output_inception_5a/output_0_split' of type 'Split'
I0622 17:45:45.027047   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.027055   991 net.cpp:199] Created Layer inception_5a/output_inception_5a/output_0_split (145)
I0622 17:45:45.027060   991 net.cpp:571] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I0622 17:45:45.027066   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I0622 17:45:45.027074   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I0622 17:45:45.027081   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I0622 17:45:45.027088   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I0622 17:45:45.027156   991 net.cpp:259] Setting up inception_5a/output_inception_5a/output_0_split
I0622 17:45:45.027163   991 net.cpp:266] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.027170   991 net.cpp:266] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.027175   991 net.cpp:266] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.027181   991 net.cpp:266] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.027189   991 layer_factory.hpp:172] Creating layer 'inception_5b/1x1' of type 'Convolution'
I0622 17:45:45.027194   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.027210   991 net.cpp:199] Created Layer inception_5b/1x1 (146)
I0622 17:45:45.027216   991 net.cpp:571] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I0622 17:45:45.027223   991 net.cpp:541] inception_5b/1x1 -> inception_5b/1x1
I0622 17:45:45.030681   991 net.cpp:259] Setting up inception_5b/1x1
I0622 17:45:45.030692   991 net.cpp:266] TRAIN Top shape for layer 146 'inception_5b/1x1' 3 384 24 78 (2156544)
I0622 17:45:45.030702   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_1x1' of type 'ReLU'
I0622 17:45:45.030709   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.030716   991 net.cpp:199] Created Layer inception_5b/relu_1x1 (147)
I0622 17:45:45.030724   991 net.cpp:571] inception_5b/relu_1x1 <- inception_5b/1x1
I0622 17:45:45.030730   991 net.cpp:526] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I0622 17:45:45.030737   991 net.cpp:259] Setting up inception_5b/relu_1x1
I0622 17:45:45.030743   991 net.cpp:266] TRAIN Top shape for layer 147 'inception_5b/relu_1x1' 3 384 24 78 (2156544)
I0622 17:45:45.030750   991 layer_factory.hpp:172] Creating layer 'inception_5b/3x3_reduce' of type 'Convolution'
I0622 17:45:45.030756   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.030769   991 net.cpp:199] Created Layer inception_5b/3x3_reduce (148)
I0622 17:45:45.030774   991 net.cpp:571] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I0622 17:45:45.030781   991 net.cpp:541] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I0622 17:45:45.032358   991 net.cpp:259] Setting up inception_5b/3x3_reduce
I0622 17:45:45.032367   991 net.cpp:266] TRAIN Top shape for layer 148 'inception_5b/3x3_reduce' 3 192 24 78 (1078272)
I0622 17:45:45.032377   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.032382   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.032388   991 net.cpp:199] Created Layer inception_5b/relu_3x3_reduce (149)
I0622 17:45:45.032395   991 net.cpp:571] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I0622 17:45:45.032402   991 net.cpp:526] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I0622 17:45:45.032408   991 net.cpp:259] Setting up inception_5b/relu_3x3_reduce
I0622 17:45:45.032416   991 net.cpp:266] TRAIN Top shape for layer 149 'inception_5b/relu_3x3_reduce' 3 192 24 78 (1078272)
I0622 17:45:45.032424   991 layer_factory.hpp:172] Creating layer 'inception_5b/3x3' of type 'Convolution'
I0622 17:45:45.032429   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.032440   991 net.cpp:199] Created Layer inception_5b/3x3 (150)
I0622 17:45:45.032446   991 net.cpp:571] inception_5b/3x3 <- inception_5b/3x3_reduce
I0622 17:45:45.032454   991 net.cpp:541] inception_5b/3x3 -> inception_5b/3x3
I0622 17:45:45.038811   991 net.cpp:259] Setting up inception_5b/3x3
I0622 17:45:45.038823   991 net.cpp:266] TRAIN Top shape for layer 150 'inception_5b/3x3' 3 384 24 78 (2156544)
I0622 17:45:45.038835   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3' of type 'ReLU'
I0622 17:45:45.038841   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.038847   991 net.cpp:199] Created Layer inception_5b/relu_3x3 (151)
I0622 17:45:45.038853   991 net.cpp:571] inception_5b/relu_3x3 <- inception_5b/3x3
I0622 17:45:45.038861   991 net.cpp:526] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I0622 17:45:45.038869   991 net.cpp:259] Setting up inception_5b/relu_3x3
I0622 17:45:45.038875   991 net.cpp:266] TRAIN Top shape for layer 151 'inception_5b/relu_3x3' 3 384 24 78 (2156544)
I0622 17:45:45.038882   991 layer_factory.hpp:172] Creating layer 'inception_5b/5x5_reduce' of type 'Convolution'
I0622 17:45:45.038898   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.038910   991 net.cpp:199] Created Layer inception_5b/5x5_reduce (152)
I0622 17:45:45.038916   991 net.cpp:571] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I0622 17:45:45.038924   991 net.cpp:541] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I0622 17:45:45.039541   991 net.cpp:259] Setting up inception_5b/5x5_reduce
I0622 17:45:45.039551   991 net.cpp:266] TRAIN Top shape for layer 152 'inception_5b/5x5_reduce' 3 48 24 78 (269568)
I0622 17:45:45.039559   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.039564   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.039572   991 net.cpp:199] Created Layer inception_5b/relu_5x5_reduce (153)
I0622 17:45:45.039577   991 net.cpp:571] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I0622 17:45:45.039584   991 net.cpp:526] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I0622 17:45:45.039592   991 net.cpp:259] Setting up inception_5b/relu_5x5_reduce
I0622 17:45:45.039598   991 net.cpp:266] TRAIN Top shape for layer 153 'inception_5b/relu_5x5_reduce' 3 48 24 78 (269568)
I0622 17:45:45.039605   991 layer_factory.hpp:172] Creating layer 'inception_5b/5x5' of type 'Convolution'
I0622 17:45:45.039611   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.039623   991 net.cpp:199] Created Layer inception_5b/5x5 (154)
I0622 17:45:45.039628   991 net.cpp:571] inception_5b/5x5 <- inception_5b/5x5_reduce
I0622 17:45:45.039634   991 net.cpp:541] inception_5b/5x5 -> inception_5b/5x5
I0622 17:45:45.041733   991 net.cpp:259] Setting up inception_5b/5x5
I0622 17:45:45.041745   991 net.cpp:266] TRAIN Top shape for layer 154 'inception_5b/5x5' 3 128 24 78 (718848)
I0622 17:45:45.041755   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5' of type 'ReLU'
I0622 17:45:45.041762   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.041769   991 net.cpp:199] Created Layer inception_5b/relu_5x5 (155)
I0622 17:45:45.041775   991 net.cpp:571] inception_5b/relu_5x5 <- inception_5b/5x5
I0622 17:45:45.041781   991 net.cpp:526] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I0622 17:45:45.041790   991 net.cpp:259] Setting up inception_5b/relu_5x5
I0622 17:45:45.041795   991 net.cpp:266] TRAIN Top shape for layer 155 'inception_5b/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.041802   991 layer_factory.hpp:172] Creating layer 'inception_5b/pool' of type 'Pooling'
I0622 17:45:45.041807   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.041816   991 net.cpp:199] Created Layer inception_5b/pool (156)
I0622 17:45:45.041822   991 net.cpp:571] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I0622 17:45:45.041829   991 net.cpp:541] inception_5b/pool -> inception_5b/pool
I0622 17:45:45.041890   991 net.cpp:259] Setting up inception_5b/pool
I0622 17:45:45.041898   991 net.cpp:266] TRAIN Top shape for layer 156 'inception_5b/pool' 3 832 24 78 (4672512)
I0622 17:45:45.041905   991 layer_factory.hpp:172] Creating layer 'inception_5b/pool_proj' of type 'Convolution'
I0622 17:45:45.041911   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.041923   991 net.cpp:199] Created Layer inception_5b/pool_proj (157)
I0622 17:45:45.041929   991 net.cpp:571] inception_5b/pool_proj <- inception_5b/pool
I0622 17:45:45.041936   991 net.cpp:541] inception_5b/pool_proj -> inception_5b/pool_proj
I0622 17:45:45.043071   991 net.cpp:259] Setting up inception_5b/pool_proj
I0622 17:45:45.043081   991 net.cpp:266] TRAIN Top shape for layer 157 'inception_5b/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.043089   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.043104   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.043112   991 net.cpp:199] Created Layer inception_5b/relu_pool_proj (158)
I0622 17:45:45.043118   991 net.cpp:571] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I0622 17:45:45.043124   991 net.cpp:526] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I0622 17:45:45.043131   991 net.cpp:259] Setting up inception_5b/relu_pool_proj
I0622 17:45:45.043138   991 net.cpp:266] TRAIN Top shape for layer 158 'inception_5b/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.043144   991 layer_factory.hpp:172] Creating layer 'inception_5b/output' of type 'Concat'
I0622 17:45:45.043150   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.043159   991 net.cpp:199] Created Layer inception_5b/output (159)
I0622 17:45:45.043164   991 net.cpp:571] inception_5b/output <- inception_5b/1x1
I0622 17:45:45.043170   991 net.cpp:571] inception_5b/output <- inception_5b/3x3
I0622 17:45:45.043176   991 net.cpp:571] inception_5b/output <- inception_5b/5x5
I0622 17:45:45.043182   991 net.cpp:571] inception_5b/output <- inception_5b/pool_proj
I0622 17:45:45.043189   991 net.cpp:541] inception_5b/output -> inception_5b/output
I0622 17:45:45.043216   991 net.cpp:259] Setting up inception_5b/output
I0622 17:45:45.043223   991 net.cpp:266] TRAIN Top shape for layer 159 'inception_5b/output' 3 1024 24 78 (5750784)
I0622 17:45:45.043231   991 layer_factory.hpp:172] Creating layer 'pool5/drop_s1' of type 'Dropout'
I0622 17:45:45.043236   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.043251   991 net.cpp:199] Created Layer pool5/drop_s1 (160)
I0622 17:45:45.043257   991 net.cpp:571] pool5/drop_s1 <- inception_5b/output
I0622 17:45:45.043263   991 net.cpp:541] pool5/drop_s1 -> pool5/drop_s1
I0622 17:45:45.053288   991 net.cpp:259] Setting up pool5/drop_s1
I0622 17:45:45.053299   991 net.cpp:266] TRAIN Top shape for layer 160 'pool5/drop_s1' 3 1024 24 78 (5750784)
I0622 17:45:45.053308   991 layer_factory.hpp:172] Creating layer 'pool5/drop_s1_pool5/drop_s1_0_split' of type 'Split'
I0622 17:45:45.053314   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.053321   991 net.cpp:199] Created Layer pool5/drop_s1_pool5/drop_s1_0_split (161)
I0622 17:45:45.053328   991 net.cpp:571] pool5/drop_s1_pool5/drop_s1_0_split <- pool5/drop_s1
I0622 17:45:45.053334   991 net.cpp:541] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_0
I0622 17:45:45.053342   991 net.cpp:541] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_1
I0622 17:45:45.053386   991 net.cpp:259] Setting up pool5/drop_s1_pool5/drop_s1_0_split
I0622 17:45:45.053393   991 net.cpp:266] TRAIN Top shape for layer 161 'pool5/drop_s1_pool5/drop_s1_0_split' 3 1024 24 78 (5750784)
I0622 17:45:45.053400   991 net.cpp:266] TRAIN Top shape for layer 161 'pool5/drop_s1_pool5/drop_s1_0_split' 3 1024 24 78 (5750784)
I0622 17:45:45.053407   991 layer_factory.hpp:172] Creating layer 'cvg/classifier' of type 'Convolution'
I0622 17:45:45.053413   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.053424   991 net.cpp:199] Created Layer cvg/classifier (162)
I0622 17:45:45.053431   991 net.cpp:571] cvg/classifier <- pool5/drop_s1_pool5/drop_s1_0_split_0
I0622 17:45:45.053437   991 net.cpp:541] cvg/classifier -> cvg/classifier
I0622 17:45:45.053740   991 net.cpp:259] Setting up cvg/classifier
I0622 17:45:45.053748   991 net.cpp:266] TRAIN Top shape for layer 162 'cvg/classifier' 3 1 24 78 (5616)
I0622 17:45:45.053758   991 layer_factory.hpp:172] Creating layer 'coverage/sig' of type 'Sigmoid'
I0622 17:45:45.053764   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.053773   991 net.cpp:199] Created Layer coverage/sig (163)
I0622 17:45:45.053786   991 net.cpp:571] coverage/sig <- cvg/classifier
I0622 17:45:45.053793   991 net.cpp:541] coverage/sig -> coverage
I0622 17:45:45.053822   991 net.cpp:259] Setting up coverage/sig
I0622 17:45:45.053829   991 net.cpp:266] TRAIN Top shape for layer 163 'coverage/sig' 3 1 24 78 (5616)
I0622 17:45:45.053836   991 layer_factory.hpp:172] Creating layer 'bbox/regressor' of type 'Convolution'
I0622 17:45:45.053843   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.053854   991 net.cpp:199] Created Layer bbox/regressor (164)
I0622 17:45:45.053860   991 net.cpp:571] bbox/regressor <- pool5/drop_s1_pool5/drop_s1_0_split_1
I0622 17:45:45.053867   991 net.cpp:541] bbox/regressor -> bboxes
I0622 17:45:45.054179   991 net.cpp:259] Setting up bbox/regressor
I0622 17:45:45.054188   991 net.cpp:266] TRAIN Top shape for layer 164 'bbox/regressor' 3 4 24 78 (22464)
I0622 17:45:45.054196   991 layer_factory.hpp:172] Creating layer 'bbox_mask' of type 'Eltwise'
I0622 17:45:45.054201   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.054210   991 net.cpp:199] Created Layer bbox_mask (165)
I0622 17:45:45.054215   991 net.cpp:571] bbox_mask <- bboxes
I0622 17:45:45.054222   991 net.cpp:571] bbox_mask <- coverage-block
I0622 17:45:45.054229   991 net.cpp:541] bbox_mask -> bboxes-masked
I0622 17:45:45.054256   991 net.cpp:259] Setting up bbox_mask
I0622 17:45:45.054263   991 net.cpp:266] TRAIN Top shape for layer 165 'bbox_mask' 3 4 24 78 (22464)
I0622 17:45:45.054270   991 layer_factory.hpp:172] Creating layer 'bbox-norm' of type 'Eltwise'
I0622 17:45:45.054275   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.054283   991 net.cpp:199] Created Layer bbox-norm (166)
I0622 17:45:45.054289   991 net.cpp:571] bbox-norm <- bboxes-masked
I0622 17:45:45.054296   991 net.cpp:571] bbox-norm <- size-block_size-block_0_split_1
I0622 17:45:45.054301   991 net.cpp:541] bbox-norm -> bboxes-masked-norm
I0622 17:45:45.054328   991 net.cpp:259] Setting up bbox-norm
I0622 17:45:45.054337   991 net.cpp:266] TRAIN Top shape for layer 166 'bbox-norm' 3 4 24 78 (22464)
I0622 17:45:45.054343   991 layer_factory.hpp:172] Creating layer 'bbox-obj-norm' of type 'Eltwise'
I0622 17:45:45.054349   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.054355   991 net.cpp:199] Created Layer bbox-obj-norm (167)
I0622 17:45:45.054361   991 net.cpp:571] bbox-obj-norm <- bboxes-masked-norm
I0622 17:45:45.054368   991 net.cpp:571] bbox-obj-norm <- obj-block_obj-block_0_split_1
I0622 17:45:45.054373   991 net.cpp:541] bbox-obj-norm -> bboxes-obj-masked-norm
I0622 17:45:45.054399   991 net.cpp:259] Setting up bbox-obj-norm
I0622 17:45:45.054407   991 net.cpp:266] TRAIN Top shape for layer 167 'bbox-obj-norm' 3 4 24 78 (22464)
I0622 17:45:45.054415   991 layer_factory.hpp:172] Creating layer 'bbox_loss' of type 'L1Loss'
I0622 17:45:45.054420   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.054430   991 net.cpp:199] Created Layer bbox_loss (168)
I0622 17:45:45.054436   991 net.cpp:571] bbox_loss <- bboxes-obj-masked-norm
I0622 17:45:45.054442   991 net.cpp:571] bbox_loss <- bbox-obj-label-norm
I0622 17:45:45.054450   991 net.cpp:541] bbox_loss -> loss_bbox
I0622 17:45:45.054503   991 net.cpp:259] Setting up bbox_loss
I0622 17:45:45.054509   991 net.cpp:266] TRAIN Top shape for layer 168 'bbox_loss' (1)
I0622 17:45:45.054515   991 net.cpp:270]     with loss weight 2
I0622 17:45:45.054531   991 layer_factory.hpp:172] Creating layer 'coverage_loss' of type 'EuclideanLoss'
I0622 17:45:45.054538   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.054545   991 net.cpp:199] Created Layer coverage_loss (169)
I0622 17:45:45.054551   991 net.cpp:571] coverage_loss <- coverage
I0622 17:45:45.054558   991 net.cpp:571] coverage_loss <- coverage-label
I0622 17:45:45.054569   991 net.cpp:541] coverage_loss -> loss_coverage
I0622 17:45:45.054610   991 net.cpp:259] Setting up coverage_loss
I0622 17:45:45.054617   991 net.cpp:266] TRAIN Top shape for layer 169 'coverage_loss' (1)
I0622 17:45:45.054622   991 net.cpp:270]     with loss weight 1
I0622 17:45:45.054630   991 net.cpp:335] coverage_loss needs backward computation.
I0622 17:45:45.054636   991 net.cpp:335] bbox_loss needs backward computation.
I0622 17:45:45.054641   991 net.cpp:335] bbox-obj-norm needs backward computation.
I0622 17:45:45.054647   991 net.cpp:335] bbox-norm needs backward computation.
I0622 17:45:45.054653   991 net.cpp:335] bbox_mask needs backward computation.
I0622 17:45:45.054659   991 net.cpp:335] bbox/regressor needs backward computation.
I0622 17:45:45.054664   991 net.cpp:335] coverage/sig needs backward computation.
I0622 17:45:45.054671   991 net.cpp:335] cvg/classifier needs backward computation.
I0622 17:45:45.054677   991 net.cpp:335] pool5/drop_s1_pool5/drop_s1_0_split needs backward computation.
I0622 17:45:45.054682   991 net.cpp:335] pool5/drop_s1 needs backward computation.
I0622 17:45:45.054687   991 net.cpp:335] inception_5b/output needs backward computation.
I0622 17:45:45.054693   991 net.cpp:335] inception_5b/relu_pool_proj needs backward computation.
I0622 17:45:45.054699   991 net.cpp:335] inception_5b/pool_proj needs backward computation.
I0622 17:45:45.054705   991 net.cpp:335] inception_5b/pool needs backward computation.
I0622 17:45:45.054710   991 net.cpp:335] inception_5b/relu_5x5 needs backward computation.
I0622 17:45:45.054716   991 net.cpp:335] inception_5b/5x5 needs backward computation.
I0622 17:45:45.054723   991 net.cpp:335] inception_5b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.054728   991 net.cpp:335] inception_5b/5x5_reduce needs backward computation.
I0622 17:45:45.054734   991 net.cpp:335] inception_5b/relu_3x3 needs backward computation.
I0622 17:45:45.054739   991 net.cpp:335] inception_5b/3x3 needs backward computation.
I0622 17:45:45.054745   991 net.cpp:335] inception_5b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.054751   991 net.cpp:335] inception_5b/3x3_reduce needs backward computation.
I0622 17:45:45.054757   991 net.cpp:335] inception_5b/relu_1x1 needs backward computation.
I0622 17:45:45.054762   991 net.cpp:335] inception_5b/1x1 needs backward computation.
I0622 17:45:45.054769   991 net.cpp:335] inception_5a/output_inception_5a/output_0_split needs backward computation.
I0622 17:45:45.054774   991 net.cpp:335] inception_5a/output needs backward computation.
I0622 17:45:45.054781   991 net.cpp:335] inception_5a/relu_pool_proj needs backward computation.
I0622 17:45:45.054786   991 net.cpp:335] inception_5a/pool_proj needs backward computation.
I0622 17:45:45.054792   991 net.cpp:335] inception_5a/pool needs backward computation.
I0622 17:45:45.054798   991 net.cpp:335] inception_5a/relu_5x5 needs backward computation.
I0622 17:45:45.054803   991 net.cpp:335] inception_5a/5x5 needs backward computation.
I0622 17:45:45.054810   991 net.cpp:335] inception_5a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.054816   991 net.cpp:335] inception_5a/5x5_reduce needs backward computation.
I0622 17:45:45.054821   991 net.cpp:335] inception_5a/relu_3x3 needs backward computation.
I0622 17:45:45.054826   991 net.cpp:335] inception_5a/3x3 needs backward computation.
I0622 17:45:45.054832   991 net.cpp:335] inception_5a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.054837   991 net.cpp:335] inception_5a/3x3_reduce needs backward computation.
I0622 17:45:45.054843   991 net.cpp:335] inception_5a/relu_1x1 needs backward computation.
I0622 17:45:45.054849   991 net.cpp:335] inception_5a/1x1 needs backward computation.
I0622 17:45:45.054855   991 net.cpp:335] inception_4e/output_inception_4e/output_0_split needs backward computation.
I0622 17:45:45.054862   991 net.cpp:335] inception_4e/output needs backward computation.
I0622 17:45:45.054867   991 net.cpp:335] inception_4e/relu_pool_proj needs backward computation.
I0622 17:45:45.054877   991 net.cpp:335] inception_4e/pool_proj needs backward computation.
I0622 17:45:45.054883   991 net.cpp:335] inception_4e/pool needs backward computation.
I0622 17:45:45.054889   991 net.cpp:335] inception_4e/relu_5x5 needs backward computation.
I0622 17:45:45.054895   991 net.cpp:335] inception_4e/5x5 needs backward computation.
I0622 17:45:45.054900   991 net.cpp:335] inception_4e/relu_5x5_reduce needs backward computation.
I0622 17:45:45.054906   991 net.cpp:335] inception_4e/5x5_reduce needs backward computation.
I0622 17:45:45.054913   991 net.cpp:335] inception_4e/relu_3x3 needs backward computation.
I0622 17:45:45.054917   991 net.cpp:335] inception_4e/3x3 needs backward computation.
I0622 17:45:45.054924   991 net.cpp:335] inception_4e/relu_3x3_reduce needs backward computation.
I0622 17:45:45.054929   991 net.cpp:335] inception_4e/3x3_reduce needs backward computation.
I0622 17:45:45.054935   991 net.cpp:335] inception_4e/relu_1x1 needs backward computation.
I0622 17:45:45.054940   991 net.cpp:335] inception_4e/1x1 needs backward computation.
I0622 17:45:45.054946   991 net.cpp:335] inception_4d/output_inception_4d/output_0_split needs backward computation.
I0622 17:45:45.054951   991 net.cpp:335] inception_4d/output needs backward computation.
I0622 17:45:45.054958   991 net.cpp:335] inception_4d/relu_pool_proj needs backward computation.
I0622 17:45:45.054963   991 net.cpp:335] inception_4d/pool_proj needs backward computation.
I0622 17:45:45.054970   991 net.cpp:335] inception_4d/pool needs backward computation.
I0622 17:45:45.054976   991 net.cpp:335] inception_4d/relu_5x5 needs backward computation.
I0622 17:45:45.054982   991 net.cpp:335] inception_4d/5x5 needs backward computation.
I0622 17:45:45.054987   991 net.cpp:335] inception_4d/relu_5x5_reduce needs backward computation.
I0622 17:45:45.054993   991 net.cpp:335] inception_4d/5x5_reduce needs backward computation.
I0622 17:45:45.054998   991 net.cpp:335] inception_4d/relu_3x3 needs backward computation.
I0622 17:45:45.055004   991 net.cpp:335] inception_4d/3x3 needs backward computation.
I0622 17:45:45.055011   991 net.cpp:335] inception_4d/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055016   991 net.cpp:335] inception_4d/3x3_reduce needs backward computation.
I0622 17:45:45.055022   991 net.cpp:335] inception_4d/relu_1x1 needs backward computation.
I0622 17:45:45.055027   991 net.cpp:335] inception_4d/1x1 needs backward computation.
I0622 17:45:45.055032   991 net.cpp:335] inception_4c/output_inception_4c/output_0_split needs backward computation.
I0622 17:45:45.055038   991 net.cpp:335] inception_4c/output needs backward computation.
I0622 17:45:45.055044   991 net.cpp:335] inception_4c/relu_pool_proj needs backward computation.
I0622 17:45:45.055050   991 net.cpp:335] inception_4c/pool_proj needs backward computation.
I0622 17:45:45.055057   991 net.cpp:335] inception_4c/pool needs backward computation.
I0622 17:45:45.055061   991 net.cpp:335] inception_4c/relu_5x5 needs backward computation.
I0622 17:45:45.055068   991 net.cpp:335] inception_4c/5x5 needs backward computation.
I0622 17:45:45.055073   991 net.cpp:335] inception_4c/relu_5x5_reduce needs backward computation.
I0622 17:45:45.055078   991 net.cpp:335] inception_4c/5x5_reduce needs backward computation.
I0622 17:45:45.055084   991 net.cpp:335] inception_4c/relu_3x3 needs backward computation.
I0622 17:45:45.055089   991 net.cpp:335] inception_4c/3x3 needs backward computation.
I0622 17:45:45.055095   991 net.cpp:335] inception_4c/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055101   991 net.cpp:335] inception_4c/3x3_reduce needs backward computation.
I0622 17:45:45.055106   991 net.cpp:335] inception_4c/relu_1x1 needs backward computation.
I0622 17:45:45.055112   991 net.cpp:335] inception_4c/1x1 needs backward computation.
I0622 17:45:45.055119   991 net.cpp:335] inception_4b/output_inception_4b/output_0_split needs backward computation.
I0622 17:45:45.055124   991 net.cpp:335] inception_4b/output needs backward computation.
I0622 17:45:45.055135   991 net.cpp:335] inception_4b/relu_pool_proj needs backward computation.
I0622 17:45:45.055141   991 net.cpp:335] inception_4b/pool_proj needs backward computation.
I0622 17:45:45.055147   991 net.cpp:335] inception_4b/pool needs backward computation.
I0622 17:45:45.055152   991 net.cpp:335] inception_4b/relu_5x5 needs backward computation.
I0622 17:45:45.055158   991 net.cpp:335] inception_4b/5x5 needs backward computation.
I0622 17:45:45.055163   991 net.cpp:335] inception_4b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.055169   991 net.cpp:335] inception_4b/5x5_reduce needs backward computation.
I0622 17:45:45.055176   991 net.cpp:335] inception_4b/relu_3x3 needs backward computation.
I0622 17:45:45.055181   991 net.cpp:335] inception_4b/3x3 needs backward computation.
I0622 17:45:45.055186   991 net.cpp:335] inception_4b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055192   991 net.cpp:335] inception_4b/3x3_reduce needs backward computation.
I0622 17:45:45.055198   991 net.cpp:335] inception_4b/relu_1x1 needs backward computation.
I0622 17:45:45.055203   991 net.cpp:335] inception_4b/1x1 needs backward computation.
I0622 17:45:45.055209   991 net.cpp:335] inception_4a/output_inception_4a/output_0_split needs backward computation.
I0622 17:45:45.055215   991 net.cpp:335] inception_4a/output needs backward computation.
I0622 17:45:45.055222   991 net.cpp:335] inception_4a/relu_pool_proj needs backward computation.
I0622 17:45:45.055227   991 net.cpp:335] inception_4a/pool_proj needs backward computation.
I0622 17:45:45.055233   991 net.cpp:335] inception_4a/pool needs backward computation.
I0622 17:45:45.055239   991 net.cpp:335] inception_4a/relu_5x5 needs backward computation.
I0622 17:45:45.055245   991 net.cpp:335] inception_4a/5x5 needs backward computation.
I0622 17:45:45.055250   991 net.cpp:335] inception_4a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.055256   991 net.cpp:335] inception_4a/5x5_reduce needs backward computation.
I0622 17:45:45.055263   991 net.cpp:335] inception_4a/relu_3x3 needs backward computation.
I0622 17:45:45.055269   991 net.cpp:335] inception_4a/3x3 needs backward computation.
I0622 17:45:45.055274   991 net.cpp:335] inception_4a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055279   991 net.cpp:335] inception_4a/3x3_reduce needs backward computation.
I0622 17:45:45.055285   991 net.cpp:335] inception_4a/relu_1x1 needs backward computation.
I0622 17:45:45.055291   991 net.cpp:335] inception_4a/1x1 needs backward computation.
I0622 17:45:45.055296   991 net.cpp:335] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I0622 17:45:45.055302   991 net.cpp:335] pool3/3x3_s2 needs backward computation.
I0622 17:45:45.055308   991 net.cpp:335] inception_3b/output needs backward computation.
I0622 17:45:45.055315   991 net.cpp:335] inception_3b/relu_pool_proj needs backward computation.
I0622 17:45:45.055321   991 net.cpp:335] inception_3b/pool_proj needs backward computation.
I0622 17:45:45.055327   991 net.cpp:335] inception_3b/pool needs backward computation.
I0622 17:45:45.055333   991 net.cpp:335] inception_3b/relu_5x5 needs backward computation.
I0622 17:45:45.055338   991 net.cpp:335] inception_3b/5x5 needs backward computation.
I0622 17:45:45.055344   991 net.cpp:335] inception_3b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.055351   991 net.cpp:335] inception_3b/5x5_reduce needs backward computation.
I0622 17:45:45.055356   991 net.cpp:335] inception_3b/relu_3x3 needs backward computation.
I0622 17:45:45.055361   991 net.cpp:335] inception_3b/3x3 needs backward computation.
I0622 17:45:45.055367   991 net.cpp:335] inception_3b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055372   991 net.cpp:335] inception_3b/3x3_reduce needs backward computation.
I0622 17:45:45.055379   991 net.cpp:335] inception_3b/relu_1x1 needs backward computation.
I0622 17:45:45.055384   991 net.cpp:335] inception_3b/1x1 needs backward computation.
I0622 17:45:45.055393   991 net.cpp:335] inception_3a/output_inception_3a/output_0_split needs backward computation.
I0622 17:45:45.055399   991 net.cpp:335] inception_3a/output needs backward computation.
I0622 17:45:45.055407   991 net.cpp:335] inception_3a/relu_pool_proj needs backward computation.
I0622 17:45:45.055411   991 net.cpp:335] inception_3a/pool_proj needs backward computation.
I0622 17:45:45.055418   991 net.cpp:335] inception_3a/pool needs backward computation.
I0622 17:45:45.055423   991 net.cpp:335] inception_3a/relu_5x5 needs backward computation.
I0622 17:45:45.055429   991 net.cpp:335] inception_3a/5x5 needs backward computation.
I0622 17:45:45.055434   991 net.cpp:335] inception_3a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.055440   991 net.cpp:335] inception_3a/5x5_reduce needs backward computation.
I0622 17:45:45.055446   991 net.cpp:335] inception_3a/relu_3x3 needs backward computation.
I0622 17:45:45.055452   991 net.cpp:335] inception_3a/3x3 needs backward computation.
I0622 17:45:45.055457   991 net.cpp:335] inception_3a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055464   991 net.cpp:335] inception_3a/3x3_reduce needs backward computation.
I0622 17:45:45.055469   991 net.cpp:335] inception_3a/relu_1x1 needs backward computation.
I0622 17:45:45.055474   991 net.cpp:335] inception_3a/1x1 needs backward computation.
I0622 17:45:45.055481   991 net.cpp:335] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I0622 17:45:45.055486   991 net.cpp:335] pool2/3x3_s2 needs backward computation.
I0622 17:45:45.055492   991 net.cpp:335] conv2/norm2 needs backward computation.
I0622 17:45:45.055498   991 net.cpp:335] conv2/relu_3x3 needs backward computation.
I0622 17:45:45.055505   991 net.cpp:335] conv2/3x3 needs backward computation.
I0622 17:45:45.055510   991 net.cpp:335] conv2/relu_3x3_reduce needs backward computation.
I0622 17:45:45.055516   991 net.cpp:335] conv2/3x3_reduce needs backward computation.
I0622 17:45:45.055521   991 net.cpp:335] pool1/norm1 needs backward computation.
I0622 17:45:45.055527   991 net.cpp:335] pool1/3x3_s2 needs backward computation.
I0622 17:45:45.055533   991 net.cpp:335] conv1/relu_7x7 needs backward computation.
I0622 17:45:45.055538   991 net.cpp:335] conv1/7x7_s2 needs backward computation.
I0622 17:45:45.055546   991 net.cpp:337] bb-obj-norm does not need backward computation.
I0622 17:45:45.055552   991 net.cpp:337] bb-label-norm does not need backward computation.
I0622 17:45:45.055558   991 net.cpp:337] obj-block_obj-block_0_split does not need backward computation.
I0622 17:45:45.055564   991 net.cpp:337] obj-block does not need backward computation.
I0622 17:45:45.055572   991 net.cpp:337] size-block_size-block_0_split does not need backward computation.
I0622 17:45:45.055578   991 net.cpp:337] size-block does not need backward computation.
I0622 17:45:45.055584   991 net.cpp:337] coverage-block does not need backward computation.
I0622 17:45:45.055593   991 net.cpp:337] obj-label_slice-label_3_split does not need backward computation.
I0622 17:45:45.055599   991 net.cpp:337] size-label_slice-label_2_split does not need backward computation.
I0622 17:45:45.055606   991 net.cpp:337] foreground-label_slice-label_0_split does not need backward computation.
I0622 17:45:45.055613   991 net.cpp:337] slice-label does not need backward computation.
I0622 17:45:45.055619   991 net.cpp:337] train_transform does not need backward computation.
I0622 17:45:45.055626   991 net.cpp:337] train_label does not need backward computation.
I0622 17:45:45.055631   991 net.cpp:337] train_data does not need backward computation.
I0622 17:45:45.055636   991 net.cpp:379] This network produces output loss_bbox
I0622 17:45:45.055642   991 net.cpp:379] This network produces output loss_coverage
I0622 17:45:45.055742   991 net.cpp:402] Top memory (TRAIN) required for data: 1911869968 diff: 1911869968
I0622 17:45:45.055749   991 net.cpp:405] Bottom memory (TRAIN) required for data: 1911869952 diff: 1911869952
I0622 17:45:45.055754   991 net.cpp:408] Shared (in-place) memory (TRAIN) by data: 408305664 diff: 408305664
I0622 17:45:45.055764   991 net.cpp:411] Parameters memory (TRAIN) required for data: 23914712 diff: 23914712
I0622 17:45:45.055770   991 net.cpp:414] Parameters shared memory (TRAIN) by data: 0 diff: 0
I0622 17:45:45.055775   991 net.cpp:420] Network initialization done.
I0622 17:45:45.056793   991 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I0622 17:45:45.056892   991 net.cpp:456] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data
I0622 17:45:45.056900   991 net.cpp:456] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_label
I0622 17:45:45.056905   991 net.cpp:456] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_transform
I0622 17:45:45.057400   991 net.cpp:79] Initializing net from parameters:
state {
phase: TEST
}
layer {
name: "val_data"
type: "Data"
top: "data"
include {
phase: TEST
}
data_param {
source: "/workspace/jobs/20180622-011243-a09d/val_db/features"
batch_size: 3
backend: LMDB
}
}
layer {
name: "val_label"
type: "Data"
top: "label"
include {
phase: TEST
}
data_param {
source: "/workspace/jobs/20180622-011243-a09d/val_db/labels"
batch_size: 3
backend: LMDB
}
}
layer {
name: "val_transform"
type: "DetectNetTransformation"
bottom: "data"
bottom: "label"
top: "transformed_data"
top: "transformed_label"
include {
phase: TEST
}
transform_param {
mean_value: 127
}
detectnet_groundtruth_param {
stride: 16
scale_cvg: 0.4
gridbox_type: GRIDBOX_MIN
min_cvg_len: 20
coverage_type: RECTANGULAR
image_size_x: 1248
image_size_y: 384
obj_norm: true
crop_bboxes: false
object_class {
src: 1
dst: 0
}
}
}
layer {
name: "slice-label"
type: "Slice"
bottom: "transformed_label"
top: "foreground-label"
top: "bbox-label"
top: "size-label"
top: "obj-label"
top: "coverage-label"
slice_param {
slice_dim: 1
slice_point: 1
slice_point: 5
slice_point: 7
slice_point: 8
}
}
layer {
name: "coverage-block"
type: "Concat"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
top: "coverage-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "size-block"
type: "Concat"
bottom: "size-label"
bottom: "size-label"
top: "size-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "obj-block"
type: "Concat"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
top: "obj-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "bb-label-norm"
type: "Eltwise"
bottom: "bbox-label"
bottom: "size-block"
top: "bbox-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "bb-obj-norm"
type: "Eltwise"
bottom: "bbox-label-norm"
bottom: "obj-block"
top: "bbox-obj-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "conv1/7x7_s2"
type: "Convolution"
bottom: "transformed_data"
top: "conv1/7x7_s2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv1/relu_7x7"
type: "ReLU"
bottom: "conv1/7x7_s2"
top: "conv1/7x7_s2"
}
layer {
name: "pool1/3x3_s2"
type: "Pooling"
bottom: "conv1/7x7_s2"
top: "pool1/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "pool1/norm1"
type: "LRN"
bottom: "pool1/3x3_s2"
top: "pool1/norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2/3x3_reduce"
type: "Convolution"
bottom: "pool1/norm1"
top: "conv2/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3_reduce"
type: "ReLU"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3_reduce"
}
layer {
name: "conv2/3x3"
type: "Convolution"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3"
type: "ReLU"
bottom: "conv2/3x3"
top: "conv2/3x3"
}
layer {
name: "conv2/norm2"
type: "LRN"
bottom: "conv2/3x3"
top: "conv2/norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "pool2/3x3_s2"
type: "Pooling"
bottom: "conv2/norm2"
top: "pool2/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_3a/1x1"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_1x1"
type: "ReLU"
bottom: "inception_3a/1x1"
top: "inception_3a/1x1"
}
layer {
name: "inception_3a/3x3_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3_reduce"
}
layer {
name: "inception_3a/3x3"
type: "Convolution"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3"
type: "ReLU"
bottom: "inception_3a/3x3"
top: "inception_3a/3x3"
}
layer {
name: "inception_3a/5x5_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5_reduce"
}
layer {
name: "inception_3a/5x5"
type: "Convolution"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5"
type: "ReLU"
bottom: "inception_3a/5x5"
top: "inception_3a/5x5"
}
layer {
name: "inception_3a/pool"
type: "Pooling"
bottom: "pool2/3x3_s2"
top: "inception_3a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3a/pool_proj"
type: "Convolution"
bottom: "inception_3a/pool"
top: "inception_3a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_pool_proj"
type: "ReLU"
bottom: "inception_3a/pool_proj"
top: "inception_3a/pool_proj"
}
layer {
name: "inception_3a/output"
type: "Concat"
bottom: "inception_3a/1x1"
bottom: "inception_3a/3x3"
bottom: "inception_3a/5x5"
bottom: "inception_3a/pool_proj"
top: "inception_3a/output"
}
layer {
name: "inception_3b/1x1"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_1x1"
type: "ReLU"
bottom: "inception_3b/1x1"
top: "inception_3b/1x1"
}
layer {
name: "inception_3b/3x3_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3_reduce"
}
layer {
name: "inception_3b/3x3"
type: "Convolution"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3"
type: "ReLU"
bottom: "inception_3b/3x3"
top: "inception_3b/3x3"
}
layer {
name: "inception_3b/5x5_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5_reduce"
}
layer {
name: "inception_3b/5x5"
type: "Convolution"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5"
type: "ReLU"
bottom: "inception_3b/5x5"
top: "inception_3b/5x5"
}
layer {
name: "inception_3b/pool"
type: "Pooling"
bottom: "inception_3a/output"
top: "inception_3b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3b/pool_proj"
type: "Convolution"
bottom: "inception_3b/pool"
top: "inception_3b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_pool_proj"
type: "ReLU"
bottom: "inception_3b/pool_proj"
top: "inception_3b/pool_proj"
}
layer {
name: "inception_3b/output"
type: "Concat"
bottom: "inception_3b/1x1"
bottom: "inception_3b/3x3"
bottom: "inception_3b/5x5"
bottom: "inception_3b/pool_proj"
top: "inception_3b/output"
}
layer {
name: "pool3/3x3_s2"
type: "Pooling"
bottom: "inception_3b/output"
top: "pool3/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_4a/1x1"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_1x1"
type: "ReLU"
bottom: "inception_4a/1x1"
top: "inception_4a/1x1"
}
layer {
name: "inception_4a/3x3_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3_reduce"
}
layer {
name: "inception_4a/3x3"
type: "Convolution"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 208
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3"
type: "ReLU"
bottom: "inception_4a/3x3"
top: "inception_4a/3x3"
}
layer {
name: "inception_4a/5x5_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5_reduce"
}
layer {
name: "inception_4a/5x5"
type: "Convolution"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 48
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5"
type: "ReLU"
bottom: "inception_4a/5x5"
top: "inception_4a/5x5"
}
layer {
name: "inception_4a/pool"
type: "Pooling"
bottom: "pool3/3x3_s2"
top: "inception_4a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4a/pool_proj"
type: "Convolution"
bottom: "inception_4a/pool"
top: "inception_4a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_pool_proj"
type: "ReLU"
bottom: "inception_4a/pool_proj"
top: "inception_4a/pool_proj"
}
layer {
name: "inception_4a/output"
type: "Concat"
bottom: "inception_4a/1x1"
bottom: "inception_4a/3x3"
bottom: "inception_4a/5x5"
bottom: "inception_4a/pool_proj"
top: "inception_4a/output"
}
layer {
name: "inception_4b/1x1"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_1x1"
type: "ReLU"
bottom: "inception_4b/1x1"
top: "inception_4b/1x1"
}
layer {
name: "inception_4b/3x3_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3_reduce"
}
layer {
name: "inception_4b/3x3"
type: "Convolution"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 224
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3"
type: "ReLU"
bottom: "inception_4b/3x3"
top: "inception_4b/3x3"
}
layer {
name: "inception_4b/5x5_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5_reduce"
}
layer {
name: "inception_4b/5x5"
type: "Convolution"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5"
type: "ReLU"
bottom: "inception_4b/5x5"
top: "inception_4b/5x5"
}
layer {
name: "inception_4b/pool"
type: "Pooling"
bottom: "inception_4a/output"
top: "inception_4b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4b/pool_proj"
type: "Convolution"
bottom: "inception_4b/pool"
top: "inception_4b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_pool_proj"
type: "ReLU"
bottom: "inception_4b/pool_proj"
top: "inception_4b/pool_proj"
}
layer {
name: "inception_4b/output"
type: "Concat"
bottom: "inception_4b/1x1"
bottom: "inception_4b/3x3"
bottom: "inception_4b/5x5"
bottom: "inception_4b/pool_proj"
top: "inception_4b/output"
}
layer {
name: "inception_4c/1x1"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_1x1"
type: "ReLU"
bottom: "inception_4c/1x1"
top: "inception_4c/1x1"
}
layer {
name: "inception_4c/3x3_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3_reduce"
}
layer {
name: "inception_4c/3x3"
type: "Convolution"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3"
type: "ReLU"
bottom: "inception_4c/3x3"
top: "inception_4c/3x3"
}
layer {
name: "inception_4c/5x5_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5_reduce"
}
layer {
name: "inception_4c/5x5"
type: "Convolution"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5"
type: "ReLU"
bottom: "inception_4c/5x5"
top: "inception_4c/5x5"
}
layer {
name: "inception_4c/pool"
type: "Pooling"
bottom: "inception_4b/output"
top: "inception_4c/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4c/pool_proj"
type: "Convolution"
bottom: "inception_4c/pool"
top: "inception_4c/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_pool_proj"
type: "ReLU"
bottom: "inception_4c/pool_proj"
top: "inception_4c/pool_proj"
}
layer {
name: "inception_4c/output"
type: "Concat"
bottom: "inception_4c/1x1"
bottom: "inception_4c/3x3"
bottom: "inception_4c/5x5"
bottom: "inception_4c/pool_proj"
top: "inception_4c/output"
}
layer {
name: "inception_4d/1x1"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_1x1"
type: "ReLU"
bottom: "inception_4d/1x1"
top: "inception_4d/1x1"
}
layer {
name: "inception_4d/3x3_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 144
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3_reduce"
}
layer {
name: "inception_4d/3x3"
type: "Convolution"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 288
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3"
type: "ReLU"
bottom: "inception_4d/3x3"
top: "inception_4d/3x3"
}
layer {
name: "inception_4d/5x5_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5_reduce"
}
layer {
name: "inception_4d/5x5"
type: "Convolution"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5"
type: "ReLU"
bottom: "inception_4d/5x5"
top: "inception_4d/5x5"
}
layer {
name: "inception_4d/pool"
type: "Pooling"
bottom: "inception_4c/output"
top: "inception_4d/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4d/pool_proj"
type: "Convolution"
bottom: "inception_4d/pool"
top: "inception_4d/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_pool_proj"
type: "ReLU"
bottom: "inception_4d/pool_proj"
top: "inception_4d/pool_proj"
}
layer {
name: "inception_4d/output"
type: "Concat"
bottom: "inception_4d/1x1"
bottom: "inception_4d/3x3"
bottom: "inception_4d/5x5"
bottom: "inception_4d/pool_proj"
top: "inception_4d/output"
}
layer {
name: "inception_4e/1x1"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_1x1"
type: "ReLU"
bottom: "inception_4e/1x1"
top: "inception_4e/1x1"
}
layer {
name: "inception_4e/3x3_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3_reduce"
}
layer {
name: "inception_4e/3x3"
type: "Convolution"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 320
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3"
type: "ReLU"
bottom: "inception_4e/3x3"
top: "inception_4e/3x3"
}
layer {
name: "inception_4e/5x5_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5_reduce"
}
layer {
name: "inception_4e/5x5"
type: "Convolution"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5"
type: "ReLU"
bottom: "inception_4e/5x5"
top: "inception_4e/5x5"
}
layer {
name: "inception_4e/pool"
type: "Pooling"
bottom: "inception_4d/output"
top: "inception_4e/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4e/pool_proj"
type: "Convolution"
bottom: "inception_4e/pool"
top: "inception_4e/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_pool_proj"
type: "ReLU"
bottom: "inception_4e/pool_proj"
top: "inception_4e/pool_proj"
}
layer {
name: "inception_4e/output"
type: "Concat"
bottom: "inception_4e/1x1"
bottom: "inception_4e/3x3"
bottom: "inception_4e/5x5"
bottom: "inception_4e/pool_proj"
top: "inception_4e/output"
}
layer {
name: "inception_5a/1x1"
type: "Convolution"
bottom: "inception_4e/output"
top: "inception_5a/1x1"
param {
lr_mult: 1
decay_mult: 1
I0622 17:45:45.057862   991 net.cpp:109] Using FLOAT as default forward math type
I0622 17:45:45.057868   991 net.cpp:115] Using FLOAT as default backward math type
I0622 17:45:45.057876   991 layer_factory.hpp:172] Creating layer 'val_data' of type 'Data'
I0622 17:45:45.057883   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.057898   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.057955   991 net.cpp:199] Created Layer val_data (0)
I0622 17:45:45.057961   991 net.cpp:541] val_data -> data
I0622 17:45:45.057967   991 data_reader.cpp:58] Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:45.057978   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.058795  1011 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/val_db/features
I0622 17:45:45.066876   991 data_layer.cpp:199] (0) Output data size: 3, 3, 384, 1248
I0622 17:45:45.066907   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.066956   991 net.cpp:259] Setting up val_data
I0622 17:45:45.066969   991 net.cpp:266] TEST Top shape for layer 0 'val_data' 3 3 384 1248 (4313088)
I0622 17:45:45.066979   991 layer_factory.hpp:172] Creating layer 'val_label' of type 'Data'
I0622 17:45:45.067471  1012 data_layer.cpp:105] (0) Parser threads: 1
I0622 17:45:45.067481  1012 data_layer.cpp:107] (0) Transformer threads: 1
I0622 17:45:45.067497   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.067523   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.067574   991 net.cpp:199] Created Layer val_label (1)
I0622 17:45:45.067582   991 net.cpp:541] val_label -> label
I0622 17:45:45.067591   991 data_reader.cpp:58] Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:45.067612   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.068645  1014 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/val_db/labels
I0622 17:45:45.068778   991 data_layer.cpp:199] (0) Output data size: 3, 1, 21, 16
I0622 17:45:45.068797   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.068826   991 net.cpp:259] Setting up val_label
I0622 17:45:45.068835   991 net.cpp:266] TEST Top shape for layer 1 'val_label' 3 1 21 16 (1008)
I0622 17:45:45.068842   991 layer_factory.hpp:172] Creating layer 'val_transform' of type 'DetectNetTransformation'
I0622 17:45:45.068848   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.068868   991 net.cpp:199] Created Layer val_transform (2)
I0622 17:45:45.069196  1015 data_layer.cpp:105] (0) Parser threads: 1
I0622 17:45:45.069203  1015 data_layer.cpp:107] (0) Transformer threads: 1
I0622 17:45:45.069219   991 net.cpp:571] val_transform <- data
I0622 17:45:45.069232   991 net.cpp:571] val_transform <- label
I0622 17:45:45.069239   991 net.cpp:541] val_transform -> transformed_data
I0622 17:45:45.069247   991 net.cpp:541] val_transform -> transformed_label
I0622 17:45:45.069680   991 net.cpp:259] Setting up val_transform
I0622 17:45:45.069692   991 net.cpp:266] TEST Top shape for layer 2 'val_transform' 3 3 384 1248 (4313088)
I0622 17:45:45.069700   991 net.cpp:266] TEST Top shape for layer 2 'val_transform' 3 9 24 78 (50544)
I0622 17:45:45.069706   991 layer_factory.hpp:172] Creating layer 'slice-label' of type 'Slice'
I0622 17:45:45.069713   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.069721   991 net.cpp:199] Created Layer slice-label (3)
I0622 17:45:45.069726   991 net.cpp:571] slice-label <- transformed_label
I0622 17:45:45.069733   991 net.cpp:541] slice-label -> foreground-label
I0622 17:45:45.069741   991 net.cpp:541] slice-label -> bbox-label
I0622 17:45:45.069747   991 net.cpp:541] slice-label -> size-label
I0622 17:45:45.069753   991 net.cpp:541] slice-label -> obj-label
I0622 17:45:45.069759   991 net.cpp:541] slice-label -> coverage-label
I0622 17:45:45.069847   991 net.cpp:259] Setting up slice-label
I0622 17:45:45.069854   991 net.cpp:266] TEST Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:45.069860   991 net.cpp:266] TEST Top shape for layer 3 'slice-label' 3 4 24 78 (22464)
I0622 17:45:45.069865   991 net.cpp:266] TEST Top shape for layer 3 'slice-label' 3 2 24 78 (11232)
I0622 17:45:45.069871   991 net.cpp:266] TEST Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:45.069877   991 net.cpp:266] TEST Top shape for layer 3 'slice-label' 3 1 24 78 (5616)
I0622 17:45:45.069885   991 layer_factory.hpp:172] Creating layer 'foreground-label_slice-label_0_split' of type 'Split'
I0622 17:45:45.069890   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.069897   991 net.cpp:199] Created Layer foreground-label_slice-label_0_split (4)
I0622 17:45:45.069903   991 net.cpp:571] foreground-label_slice-label_0_split <- foreground-label
I0622 17:45:45.069910   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_0
I0622 17:45:45.069916   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_1
I0622 17:45:45.069923   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_2
I0622 17:45:45.069929   991 net.cpp:541] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_3
I0622 17:45:45.069990   991 net.cpp:259] Setting up foreground-label_slice-label_0_split
I0622 17:45:45.069998   991 net.cpp:266] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:45.070003   991 net.cpp:266] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:45.070009   991 net.cpp:266] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:45.070024   991 net.cpp:266] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 3 1 24 78 (5616)
I0622 17:45:45.070031   991 layer_factory.hpp:172] Creating layer 'bbox-label_slice-label_1_split' of type 'Split'
I0622 17:45:45.070037   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070044   991 net.cpp:199] Created Layer bbox-label_slice-label_1_split (5)
I0622 17:45:45.070050   991 net.cpp:571] bbox-label_slice-label_1_split <- bbox-label
I0622 17:45:45.070056   991 net.cpp:541] bbox-label_slice-label_1_split -> bbox-label_slice-label_1_split_0
I0622 17:45:45.070063   991 net.cpp:541] bbox-label_slice-label_1_split -> bbox-label_slice-label_1_split_1
I0622 17:45:45.070101   991 net.cpp:259] Setting up bbox-label_slice-label_1_split
I0622 17:45:45.070106   991 net.cpp:266] TEST Top shape for layer 5 'bbox-label_slice-label_1_split' 3 4 24 78 (22464)
I0622 17:45:45.070112   991 net.cpp:266] TEST Top shape for layer 5 'bbox-label_slice-label_1_split' 3 4 24 78 (22464)
I0622 17:45:45.070121   991 layer_factory.hpp:172] Creating layer 'size-label_slice-label_2_split' of type 'Split'
I0622 17:45:45.070127   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070132   991 net.cpp:199] Created Layer size-label_slice-label_2_split (6)
I0622 17:45:45.070137   991 net.cpp:571] size-label_slice-label_2_split <- size-label
I0622 17:45:45.070144   991 net.cpp:541] size-label_slice-label_2_split -> size-label_slice-label_2_split_0
I0622 17:45:45.070150   991 net.cpp:541] size-label_slice-label_2_split -> size-label_slice-label_2_split_1
I0622 17:45:45.070185   991 net.cpp:259] Setting up size-label_slice-label_2_split
I0622 17:45:45.070192   991 net.cpp:266] TEST Top shape for layer 6 'size-label_slice-label_2_split' 3 2 24 78 (11232)
I0622 17:45:45.070199   991 net.cpp:266] TEST Top shape for layer 6 'size-label_slice-label_2_split' 3 2 24 78 (11232)
I0622 17:45:45.070206   991 layer_factory.hpp:172] Creating layer 'obj-label_slice-label_3_split' of type 'Split'
I0622 17:45:45.070212   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070219   991 net.cpp:199] Created Layer obj-label_slice-label_3_split (7)
I0622 17:45:45.070225   991 net.cpp:571] obj-label_slice-label_3_split <- obj-label
I0622 17:45:45.070230   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_0
I0622 17:45:45.070236   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_1
I0622 17:45:45.070243   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_2
I0622 17:45:45.070250   991 net.cpp:541] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_3
I0622 17:45:45.070309   991 net.cpp:259] Setting up obj-label_slice-label_3_split
I0622 17:45:45.070315   991 net.cpp:266] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:45.070322   991 net.cpp:266] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:45.070328   991 net.cpp:266] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:45.070333   991 net.cpp:266] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 3 1 24 78 (5616)
I0622 17:45:45.070340   991 layer_factory.hpp:172] Creating layer 'coverage-label_slice-label_4_split' of type 'Split'
I0622 17:45:45.070346   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070353   991 net.cpp:199] Created Layer coverage-label_slice-label_4_split (8)
I0622 17:45:45.070358   991 net.cpp:571] coverage-label_slice-label_4_split <- coverage-label
I0622 17:45:45.070365   991 net.cpp:541] coverage-label_slice-label_4_split -> coverage-label_slice-label_4_split_0
I0622 17:45:45.070371   991 net.cpp:541] coverage-label_slice-label_4_split -> coverage-label_slice-label_4_split_1
I0622 17:45:45.070412   991 net.cpp:259] Setting up coverage-label_slice-label_4_split
I0622 17:45:45.070420   991 net.cpp:266] TEST Top shape for layer 8 'coverage-label_slice-label_4_split' 3 1 24 78 (5616)
I0622 17:45:45.070425   991 net.cpp:266] TEST Top shape for layer 8 'coverage-label_slice-label_4_split' 3 1 24 78 (5616)
I0622 17:45:45.070433   991 layer_factory.hpp:172] Creating layer 'coverage-block' of type 'Concat'
I0622 17:45:45.070439   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070446   991 net.cpp:199] Created Layer coverage-block (9)
I0622 17:45:45.070451   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_0
I0622 17:45:45.070457   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_1
I0622 17:45:45.070464   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_2
I0622 17:45:45.070471   991 net.cpp:571] coverage-block <- foreground-label_slice-label_0_split_3
I0622 17:45:45.070475   991 net.cpp:541] coverage-block -> coverage-block
I0622 17:45:45.070498   991 net.cpp:259] Setting up coverage-block
I0622 17:45:45.070505   991 net.cpp:266] TEST Top shape for layer 9 'coverage-block' 3 4 24 78 (22464)
I0622 17:45:45.070513   991 layer_factory.hpp:172] Creating layer 'size-block' of type 'Concat'
I0622 17:45:45.070518   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070524   991 net.cpp:199] Created Layer size-block (10)
I0622 17:45:45.070530   991 net.cpp:571] size-block <- size-label_slice-label_2_split_0
I0622 17:45:45.070536   991 net.cpp:571] size-block <- size-label_slice-label_2_split_1
I0622 17:45:45.070542   991 net.cpp:541] size-block -> size-block
I0622 17:45:45.070564   991 net.cpp:259] Setting up size-block
I0622 17:45:45.070571   991 net.cpp:266] TEST Top shape for layer 10 'size-block' 3 4 24 78 (22464)
I0622 17:45:45.070578   991 layer_factory.hpp:172] Creating layer 'size-block_size-block_0_split' of type 'Split'
I0622 17:45:45.070583   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070590   991 net.cpp:199] Created Layer size-block_size-block_0_split (11)
I0622 17:45:45.070596   991 net.cpp:571] size-block_size-block_0_split <- size-block
I0622 17:45:45.070602   991 net.cpp:541] size-block_size-block_0_split -> size-block_size-block_0_split_0
I0622 17:45:45.070608   991 net.cpp:541] size-block_size-block_0_split -> size-block_size-block_0_split_1
I0622 17:45:45.070644   991 net.cpp:259] Setting up size-block_size-block_0_split
I0622 17:45:45.070652   991 net.cpp:266] TEST Top shape for layer 11 'size-block_size-block_0_split' 3 4 24 78 (22464)
I0622 17:45:45.070657   991 net.cpp:266] TEST Top shape for layer 11 'size-block_size-block_0_split' 3 4 24 78 (22464)
I0622 17:45:45.070664   991 layer_factory.hpp:172] Creating layer 'obj-block' of type 'Concat'
I0622 17:45:45.070669   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070677   991 net.cpp:199] Created Layer obj-block (12)
I0622 17:45:45.070683   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_0
I0622 17:45:45.070688   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_1
I0622 17:45:45.070694   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_2
I0622 17:45:45.070700   991 net.cpp:571] obj-block <- obj-label_slice-label_3_split_3
I0622 17:45:45.070705   991 net.cpp:541] obj-block -> obj-block
I0622 17:45:45.070727   991 net.cpp:259] Setting up obj-block
I0622 17:45:45.070734   991 net.cpp:266] TEST Top shape for layer 12 'obj-block' 3 4 24 78 (22464)
I0622 17:45:45.070741   991 layer_factory.hpp:172] Creating layer 'obj-block_obj-block_0_split' of type 'Split'
I0622 17:45:45.070747   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070753   991 net.cpp:199] Created Layer obj-block_obj-block_0_split (13)
I0622 17:45:45.070758   991 net.cpp:571] obj-block_obj-block_0_split <- obj-block
I0622 17:45:45.070770   991 net.cpp:541] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_0
I0622 17:45:45.070776   991 net.cpp:541] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_1
I0622 17:45:45.070812   991 net.cpp:259] Setting up obj-block_obj-block_0_split
I0622 17:45:45.070819   991 net.cpp:266] TEST Top shape for layer 13 'obj-block_obj-block_0_split' 3 4 24 78 (22464)
I0622 17:45:45.070827   991 net.cpp:266] TEST Top shape for layer 13 'obj-block_obj-block_0_split' 3 4 24 78 (22464)
I0622 17:45:45.070833   991 layer_factory.hpp:172] Creating layer 'bb-label-norm' of type 'Eltwise'
I0622 17:45:45.070838   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070847   991 net.cpp:199] Created Layer bb-label-norm (14)
I0622 17:45:45.070852   991 net.cpp:571] bb-label-norm <- bbox-label_slice-label_1_split_0
I0622 17:45:45.070858   991 net.cpp:571] bb-label-norm <- size-block_size-block_0_split_0
I0622 17:45:45.070864   991 net.cpp:541] bb-label-norm -> bbox-label-norm
I0622 17:45:45.070888   991 net.cpp:259] Setting up bb-label-norm
I0622 17:45:45.070895   991 net.cpp:266] TEST Top shape for layer 14 'bb-label-norm' 3 4 24 78 (22464)
I0622 17:45:45.070902   991 layer_factory.hpp:172] Creating layer 'bb-obj-norm' of type 'Eltwise'
I0622 17:45:45.070909   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070914   991 net.cpp:199] Created Layer bb-obj-norm (15)
I0622 17:45:45.070920   991 net.cpp:571] bb-obj-norm <- bbox-label-norm
I0622 17:45:45.070926   991 net.cpp:571] bb-obj-norm <- obj-block_obj-block_0_split_0
I0622 17:45:45.070932   991 net.cpp:541] bb-obj-norm -> bbox-obj-label-norm
I0622 17:45:45.070955   991 net.cpp:259] Setting up bb-obj-norm
I0622 17:45:45.070962   991 net.cpp:266] TEST Top shape for layer 15 'bb-obj-norm' 3 4 24 78 (22464)
I0622 17:45:45.070969   991 layer_factory.hpp:172] Creating layer 'conv1/7x7_s2' of type 'Convolution'
I0622 17:45:45.070974   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.070987   991 net.cpp:199] Created Layer conv1/7x7_s2 (16)
I0622 17:45:45.070993   991 net.cpp:571] conv1/7x7_s2 <- transformed_data
I0622 17:45:45.070999   991 net.cpp:541] conv1/7x7_s2 -> conv1/7x7_s2
I0622 17:45:45.071398   991 net.cpp:259] Setting up conv1/7x7_s2
I0622 17:45:45.071406   991 net.cpp:266] TEST Top shape for layer 16 'conv1/7x7_s2' 3 64 192 624 (23003136)
I0622 17:45:45.071419   991 layer_factory.hpp:172] Creating layer 'conv1/relu_7x7' of type 'ReLU'
I0622 17:45:45.071425   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.071432   991 net.cpp:199] Created Layer conv1/relu_7x7 (17)
I0622 17:45:45.071437   991 net.cpp:571] conv1/relu_7x7 <- conv1/7x7_s2
I0622 17:45:45.071444   991 net.cpp:526] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I0622 17:45:45.071452   991 net.cpp:259] Setting up conv1/relu_7x7
I0622 17:45:45.071458   991 net.cpp:266] TEST Top shape for layer 17 'conv1/relu_7x7' 3 64 192 624 (23003136)
I0622 17:45:45.071465   991 layer_factory.hpp:172] Creating layer 'pool1/3x3_s2' of type 'Pooling'
I0622 17:45:45.071471   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.071478   991 net.cpp:199] Created Layer pool1/3x3_s2 (18)
I0622 17:45:45.071485   991 net.cpp:571] pool1/3x3_s2 <- conv1/7x7_s2
I0622 17:45:45.071491   991 net.cpp:541] pool1/3x3_s2 -> pool1/3x3_s2
I0622 17:45:45.071545   991 net.cpp:259] Setting up pool1/3x3_s2
I0622 17:45:45.071552   991 net.cpp:266] TEST Top shape for layer 18 'pool1/3x3_s2' 3 64 96 312 (5750784)
I0622 17:45:45.071559   991 layer_factory.hpp:172] Creating layer 'pool1/norm1' of type 'LRN'
I0622 17:45:45.071565   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.071573   991 net.cpp:199] Created Layer pool1/norm1 (19)
I0622 17:45:45.071585   991 net.cpp:571] pool1/norm1 <- pool1/3x3_s2
I0622 17:45:45.071591   991 net.cpp:541] pool1/norm1 -> pool1/norm1
I0622 17:45:45.071630   991 net.cpp:259] Setting up pool1/norm1
I0622 17:45:45.071637   991 net.cpp:266] TEST Top shape for layer 19 'pool1/norm1' 3 64 96 312 (5750784)
I0622 17:45:45.071645   991 layer_factory.hpp:172] Creating layer 'conv2/3x3_reduce' of type 'Convolution'
I0622 17:45:45.071650   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.071658   991 net.cpp:199] Created Layer conv2/3x3_reduce (20)
I0622 17:45:45.071665   991 net.cpp:571] conv2/3x3_reduce <- pool1/norm1
I0622 17:45:45.071671   991 net.cpp:541] conv2/3x3_reduce -> conv2/3x3_reduce
I0622 17:45:45.071988   991 net.cpp:259] Setting up conv2/3x3_reduce
I0622 17:45:45.071996   991 net.cpp:266] TEST Top shape for layer 20 'conv2/3x3_reduce' 3 64 96 312 (5750784)
I0622 17:45:45.072006   991 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.072012   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.072018   991 net.cpp:199] Created Layer conv2/relu_3x3_reduce (21)
I0622 17:45:45.072024   991 net.cpp:571] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I0622 17:45:45.072031   991 net.cpp:526] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I0622 17:45:45.072038   991 net.cpp:259] Setting up conv2/relu_3x3_reduce
I0622 17:45:45.072044   991 net.cpp:266] TEST Top shape for layer 21 'conv2/relu_3x3_reduce' 3 64 96 312 (5750784)
I0622 17:45:45.072052   991 layer_factory.hpp:172] Creating layer 'conv2/3x3' of type 'Convolution'
I0622 17:45:45.072057   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.072067   991 net.cpp:199] Created Layer conv2/3x3 (22)
I0622 17:45:45.072072   991 net.cpp:571] conv2/3x3 <- conv2/3x3_reduce
I0622 17:45:45.072077   991 net.cpp:541] conv2/3x3 -> conv2/3x3
I0622 17:45:45.073249   991 net.cpp:259] Setting up conv2/3x3
I0622 17:45:45.073258   991 net.cpp:266] TEST Top shape for layer 22 'conv2/3x3' 3 192 96 312 (17252352)
I0622 17:45:45.073268   991 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3' of type 'ReLU'
I0622 17:45:45.073274   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.073282   991 net.cpp:199] Created Layer conv2/relu_3x3 (23)
I0622 17:45:45.073287   991 net.cpp:571] conv2/relu_3x3 <- conv2/3x3
I0622 17:45:45.073292   991 net.cpp:526] conv2/relu_3x3 -> conv2/3x3 (in-place)
I0622 17:45:45.073299   991 net.cpp:259] Setting up conv2/relu_3x3
I0622 17:45:45.073307   991 net.cpp:266] TEST Top shape for layer 23 'conv2/relu_3x3' 3 192 96 312 (17252352)
I0622 17:45:45.073313   991 layer_factory.hpp:172] Creating layer 'conv2/norm2' of type 'LRN'
I0622 17:45:45.073318   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.073326   991 net.cpp:199] Created Layer conv2/norm2 (24)
I0622 17:45:45.073333   991 net.cpp:571] conv2/norm2 <- conv2/3x3
I0622 17:45:45.073338   991 net.cpp:541] conv2/norm2 -> conv2/norm2
I0622 17:45:45.073376   991 net.cpp:259] Setting up conv2/norm2
I0622 17:45:45.073384   991 net.cpp:266] TEST Top shape for layer 24 'conv2/norm2' 3 192 96 312 (17252352)
I0622 17:45:45.073390   991 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2' of type 'Pooling'
I0622 17:45:45.073396   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.073403   991 net.cpp:199] Created Layer pool2/3x3_s2 (25)
I0622 17:45:45.073408   991 net.cpp:571] pool2/3x3_s2 <- conv2/norm2
I0622 17:45:45.073415   991 net.cpp:541] pool2/3x3_s2 -> pool2/3x3_s2
I0622 17:45:45.073463   991 net.cpp:259] Setting up pool2/3x3_s2
I0622 17:45:45.073470   991 net.cpp:266] TEST Top shape for layer 25 'pool2/3x3_s2' 3 192 48 156 (4313088)
I0622 17:45:45.073477   991 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2_pool2/3x3_s2_0_split' of type 'Split'
I0622 17:45:45.073490   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.073498   991 net.cpp:199] Created Layer pool2/3x3_s2_pool2/3x3_s2_0_split (26)
I0622 17:45:45.073503   991 net.cpp:571] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I0622 17:45:45.073509   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0622 17:45:45.073516   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0622 17:45:45.073523   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0622 17:45:45.073529   991 net.cpp:541] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0622 17:45:45.073588   991 net.cpp:259] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I0622 17:45:45.073596   991 net.cpp:266] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:45.073602   991 net.cpp:266] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:45.073608   991 net.cpp:266] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:45.073613   991 net.cpp:266] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 3 192 48 156 (4313088)
I0622 17:45:45.073621   991 layer_factory.hpp:172] Creating layer 'inception_3a/1x1' of type 'Convolution'
I0622 17:45:45.073626   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.073637   991 net.cpp:199] Created Layer inception_3a/1x1 (27)
I0622 17:45:45.073642   991 net.cpp:571] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0622 17:45:45.073648   991 net.cpp:541] inception_3a/1x1 -> inception_3a/1x1
I0622 17:45:45.074015   991 net.cpp:259] Setting up inception_3a/1x1
I0622 17:45:45.074023   991 net.cpp:266] TEST Top shape for layer 27 'inception_3a/1x1' 3 64 48 156 (1437696)
I0622 17:45:45.074033   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_1x1' of type 'ReLU'
I0622 17:45:45.074039   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.074046   991 net.cpp:199] Created Layer inception_3a/relu_1x1 (28)
I0622 17:45:45.074051   991 net.cpp:571] inception_3a/relu_1x1 <- inception_3a/1x1
I0622 17:45:45.074057   991 net.cpp:526] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I0622 17:45:45.074065   991 net.cpp:259] Setting up inception_3a/relu_1x1
I0622 17:45:45.074071   991 net.cpp:266] TEST Top shape for layer 28 'inception_3a/relu_1x1' 3 64 48 156 (1437696)
I0622 17:45:45.074079   991 layer_factory.hpp:172] Creating layer 'inception_3a/3x3_reduce' of type 'Convolution'
I0622 17:45:45.074084   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.074092   991 net.cpp:199] Created Layer inception_3a/3x3_reduce (29)
I0622 17:45:45.074098   991 net.cpp:571] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0622 17:45:45.074105   991 net.cpp:541] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I0622 17:45:45.074527   991 net.cpp:259] Setting up inception_3a/3x3_reduce
I0622 17:45:45.074535   991 net.cpp:266] TEST Top shape for layer 29 'inception_3a/3x3_reduce' 3 96 48 156 (2156544)
I0622 17:45:45.074545   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.074550   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.074558   991 net.cpp:199] Created Layer inception_3a/relu_3x3_reduce (30)
I0622 17:45:45.074563   991 net.cpp:571] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I0622 17:45:45.074569   991 net.cpp:526] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I0622 17:45:45.074576   991 net.cpp:259] Setting up inception_3a/relu_3x3_reduce
I0622 17:45:45.074582   991 net.cpp:266] TEST Top shape for layer 30 'inception_3a/relu_3x3_reduce' 3 96 48 156 (2156544)
I0622 17:45:45.074596   991 layer_factory.hpp:172] Creating layer 'inception_3a/3x3' of type 'Convolution'
I0622 17:45:45.074601   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.074610   991 net.cpp:199] Created Layer inception_3a/3x3 (31)
I0622 17:45:45.074616   991 net.cpp:571] inception_3a/3x3 <- inception_3a/3x3_reduce
I0622 17:45:45.074622   991 net.cpp:541] inception_3a/3x3 -> inception_3a/3x3
I0622 17:45:45.076396   991 net.cpp:259] Setting up inception_3a/3x3
I0622 17:45:45.076407   991 net.cpp:266] TEST Top shape for layer 31 'inception_3a/3x3' 3 128 48 156 (2875392)
I0622 17:45:45.076417   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3' of type 'ReLU'
I0622 17:45:45.076423   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.076431   991 net.cpp:199] Created Layer inception_3a/relu_3x3 (32)
I0622 17:45:45.076437   991 net.cpp:571] inception_3a/relu_3x3 <- inception_3a/3x3
I0622 17:45:45.076443   991 net.cpp:526] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I0622 17:45:45.076452   991 net.cpp:259] Setting up inception_3a/relu_3x3
I0622 17:45:45.076457   991 net.cpp:266] TEST Top shape for layer 32 'inception_3a/relu_3x3' 3 128 48 156 (2875392)
I0622 17:45:45.076464   991 layer_factory.hpp:172] Creating layer 'inception_3a/5x5_reduce' of type 'Convolution'
I0622 17:45:45.076470   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.076480   991 net.cpp:199] Created Layer inception_3a/5x5_reduce (33)
I0622 17:45:45.076485   991 net.cpp:571] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0622 17:45:45.076493   991 net.cpp:541] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I0622 17:45:45.076798   991 net.cpp:259] Setting up inception_3a/5x5_reduce
I0622 17:45:45.076807   991 net.cpp:266] TEST Top shape for layer 33 'inception_3a/5x5_reduce' 3 16 48 156 (359424)
I0622 17:45:45.076817   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.076822   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.076828   991 net.cpp:199] Created Layer inception_3a/relu_5x5_reduce (34)
I0622 17:45:45.076834   991 net.cpp:571] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I0622 17:45:45.076840   991 net.cpp:526] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I0622 17:45:45.076848   991 net.cpp:259] Setting up inception_3a/relu_5x5_reduce
I0622 17:45:45.076854   991 net.cpp:266] TEST Top shape for layer 34 'inception_3a/relu_5x5_reduce' 3 16 48 156 (359424)
I0622 17:45:45.076861   991 layer_factory.hpp:172] Creating layer 'inception_3a/5x5' of type 'Convolution'
I0622 17:45:45.076867   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.076876   991 net.cpp:199] Created Layer inception_3a/5x5 (35)
I0622 17:45:45.076881   991 net.cpp:571] inception_3a/5x5 <- inception_3a/5x5_reduce
I0622 17:45:45.076887   991 net.cpp:541] inception_3a/5x5 -> inception_3a/5x5
I0622 17:45:45.077270   991 net.cpp:259] Setting up inception_3a/5x5
I0622 17:45:45.077277   991 net.cpp:266] TEST Top shape for layer 35 'inception_3a/5x5' 3 32 48 156 (718848)
I0622 17:45:45.077286   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5' of type 'ReLU'
I0622 17:45:45.077292   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077299   991 net.cpp:199] Created Layer inception_3a/relu_5x5 (36)
I0622 17:45:45.077306   991 net.cpp:571] inception_3a/relu_5x5 <- inception_3a/5x5
I0622 17:45:45.077311   991 net.cpp:526] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I0622 17:45:45.077318   991 net.cpp:259] Setting up inception_3a/relu_5x5
I0622 17:45:45.077324   991 net.cpp:266] TEST Top shape for layer 36 'inception_3a/relu_5x5' 3 32 48 156 (718848)
I0622 17:45:45.077338   991 layer_factory.hpp:172] Creating layer 'inception_3a/pool' of type 'Pooling'
I0622 17:45:45.077344   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077353   991 net.cpp:199] Created Layer inception_3a/pool (37)
I0622 17:45:45.077358   991 net.cpp:571] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0622 17:45:45.077363   991 net.cpp:541] inception_3a/pool -> inception_3a/pool
I0622 17:45:45.077419   991 net.cpp:259] Setting up inception_3a/pool
I0622 17:45:45.077426   991 net.cpp:266] TEST Top shape for layer 37 'inception_3a/pool' 3 192 48 156 (4313088)
I0622 17:45:45.077433   991 layer_factory.hpp:172] Creating layer 'inception_3a/pool_proj' of type 'Convolution'
I0622 17:45:45.077440   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077448   991 net.cpp:199] Created Layer inception_3a/pool_proj (38)
I0622 17:45:45.077455   991 net.cpp:571] inception_3a/pool_proj <- inception_3a/pool
I0622 17:45:45.077461   991 net.cpp:541] inception_3a/pool_proj -> inception_3a/pool_proj
I0622 17:45:45.077776   991 net.cpp:259] Setting up inception_3a/pool_proj
I0622 17:45:45.077785   991 net.cpp:266] TEST Top shape for layer 38 'inception_3a/pool_proj' 3 32 48 156 (718848)
I0622 17:45:45.077795   991 layer_factory.hpp:172] Creating layer 'inception_3a/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.077801   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077808   991 net.cpp:199] Created Layer inception_3a/relu_pool_proj (39)
I0622 17:45:45.077813   991 net.cpp:571] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I0622 17:45:45.077821   991 net.cpp:526] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I0622 17:45:45.077827   991 net.cpp:259] Setting up inception_3a/relu_pool_proj
I0622 17:45:45.077833   991 net.cpp:266] TEST Top shape for layer 39 'inception_3a/relu_pool_proj' 3 32 48 156 (718848)
I0622 17:45:45.077841   991 layer_factory.hpp:172] Creating layer 'inception_3a/output' of type 'Concat'
I0622 17:45:45.077847   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077853   991 net.cpp:199] Created Layer inception_3a/output (40)
I0622 17:45:45.077858   991 net.cpp:571] inception_3a/output <- inception_3a/1x1
I0622 17:45:45.077864   991 net.cpp:571] inception_3a/output <- inception_3a/3x3
I0622 17:45:45.077870   991 net.cpp:571] inception_3a/output <- inception_3a/5x5
I0622 17:45:45.077877   991 net.cpp:571] inception_3a/output <- inception_3a/pool_proj
I0622 17:45:45.077883   991 net.cpp:541] inception_3a/output -> inception_3a/output
I0622 17:45:45.077908   991 net.cpp:259] Setting up inception_3a/output
I0622 17:45:45.077914   991 net.cpp:266] TEST Top shape for layer 40 'inception_3a/output' 3 256 48 156 (5750784)
I0622 17:45:45.077921   991 layer_factory.hpp:172] Creating layer 'inception_3a/output_inception_3a/output_0_split' of type 'Split'
I0622 17:45:45.077927   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.077934   991 net.cpp:199] Created Layer inception_3a/output_inception_3a/output_0_split (41)
I0622 17:45:45.077939   991 net.cpp:571] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I0622 17:45:45.077945   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I0622 17:45:45.077952   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I0622 17:45:45.077958   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I0622 17:45:45.077965   991 net.cpp:541] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I0622 17:45:45.082228   991 net.cpp:259] Setting up inception_3a/output_inception_3a/output_0_split
I0622 17:45:45.082274   991 net.cpp:266] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:45.082283   991 net.cpp:266] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:45.082288   991 net.cpp:266] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:45.082294   991 net.cpp:266] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 3 256 48 156 (5750784)
I0622 17:45:45.082304   991 layer_factory.hpp:172] Creating layer 'inception_3b/1x1' of type 'Convolution'
I0622 17:45:45.082310   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.082331   991 net.cpp:199] Created Layer inception_3b/1x1 (42)
I0622 17:45:45.082340   991 net.cpp:571] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I0622 17:45:45.082350   991 net.cpp:541] inception_3b/1x1 -> inception_3b/1x1
I0622 17:45:45.083120   991 net.cpp:259] Setting up inception_3b/1x1
I0622 17:45:45.083140   991 net.cpp:266] TEST Top shape for layer 42 'inception_3b/1x1' 3 128 48 156 (2875392)
I0622 17:45:45.083153   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_1x1' of type 'ReLU'
I0622 17:45:45.083158   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.083166   991 net.cpp:199] Created Layer inception_3b/relu_1x1 (43)
I0622 17:45:45.083174   991 net.cpp:571] inception_3b/relu_1x1 <- inception_3b/1x1
I0622 17:45:45.083181   991 net.cpp:526] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I0622 17:45:45.083189   991 net.cpp:259] Setting up inception_3b/relu_1x1
I0622 17:45:45.083195   991 net.cpp:266] TEST Top shape for layer 43 'inception_3b/relu_1x1' 3 128 48 156 (2875392)
I0622 17:45:45.083204   991 layer_factory.hpp:172] Creating layer 'inception_3b/3x3_reduce' of type 'Convolution'
I0622 17:45:45.083209   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.083220   991 net.cpp:199] Created Layer inception_3b/3x3_reduce (44)
I0622 17:45:45.083225   991 net.cpp:571] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I0622 17:45:45.083232   991 net.cpp:541] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I0622 17:45:45.083799   991 net.cpp:259] Setting up inception_3b/3x3_reduce
I0622 17:45:45.083807   991 net.cpp:266] TEST Top shape for layer 44 'inception_3b/3x3_reduce' 3 128 48 156 (2875392)
I0622 17:45:45.083817   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.083822   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.083829   991 net.cpp:199] Created Layer inception_3b/relu_3x3_reduce (45)
I0622 17:45:45.083835   991 net.cpp:571] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I0622 17:45:45.083842   991 net.cpp:526] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I0622 17:45:45.083849   991 net.cpp:259] Setting up inception_3b/relu_3x3_reduce
I0622 17:45:45.083855   991 net.cpp:266] TEST Top shape for layer 45 'inception_3b/relu_3x3_reduce' 3 128 48 156 (2875392)
I0622 17:45:45.083863   991 layer_factory.hpp:172] Creating layer 'inception_3b/3x3' of type 'Convolution'
I0622 17:45:45.083868   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.083879   991 net.cpp:199] Created Layer inception_3b/3x3 (46)
I0622 17:45:45.083886   991 net.cpp:571] inception_3b/3x3 <- inception_3b/3x3_reduce
I0622 17:45:45.083894   991 net.cpp:541] inception_3b/3x3 -> inception_3b/3x3
I0622 17:45:45.086037   991 net.cpp:259] Setting up inception_3b/3x3
I0622 17:45:45.086047   991 net.cpp:266] TEST Top shape for layer 46 'inception_3b/3x3' 3 192 48 156 (4313088)
I0622 17:45:45.086056   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3' of type 'ReLU'
I0622 17:45:45.086071   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.086078   991 net.cpp:199] Created Layer inception_3b/relu_3x3 (47)
I0622 17:45:45.086086   991 net.cpp:571] inception_3b/relu_3x3 <- inception_3b/3x3
I0622 17:45:45.086091   991 net.cpp:526] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I0622 17:45:45.086099   991 net.cpp:259] Setting up inception_3b/relu_3x3
I0622 17:45:45.086105   991 net.cpp:266] TEST Top shape for layer 47 'inception_3b/relu_3x3' 3 192 48 156 (4313088)
I0622 17:45:45.086112   991 layer_factory.hpp:172] Creating layer 'inception_3b/5x5_reduce' of type 'Convolution'
I0622 17:45:45.086117   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.086127   991 net.cpp:199] Created Layer inception_3b/5x5_reduce (48)
I0622 17:45:45.086133   991 net.cpp:571] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I0622 17:45:45.086139   991 net.cpp:541] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I0622 17:45:45.086489   991 net.cpp:259] Setting up inception_3b/5x5_reduce
I0622 17:45:45.086498   991 net.cpp:266] TEST Top shape for layer 48 'inception_3b/5x5_reduce' 3 32 48 156 (718848)
I0622 17:45:45.086506   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.086513   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.086519   991 net.cpp:199] Created Layer inception_3b/relu_5x5_reduce (49)
I0622 17:45:45.086524   991 net.cpp:571] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I0622 17:45:45.086530   991 net.cpp:526] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I0622 17:45:45.086539   991 net.cpp:259] Setting up inception_3b/relu_5x5_reduce
I0622 17:45:45.086545   991 net.cpp:266] TEST Top shape for layer 49 'inception_3b/relu_5x5_reduce' 3 32 48 156 (718848)
I0622 17:45:45.086553   991 layer_factory.hpp:172] Creating layer 'inception_3b/5x5' of type 'Convolution'
I0622 17:45:45.086558   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.086567   991 net.cpp:199] Created Layer inception_3b/5x5 (50)
I0622 17:45:45.086572   991 net.cpp:571] inception_3b/5x5 <- inception_3b/5x5_reduce
I0622 17:45:45.086578   991 net.cpp:541] inception_3b/5x5 -> inception_3b/5x5
I0622 17:45:45.087476   991 net.cpp:259] Setting up inception_3b/5x5
I0622 17:45:45.087483   991 net.cpp:266] TEST Top shape for layer 50 'inception_3b/5x5' 3 96 48 156 (2156544)
I0622 17:45:45.087492   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5' of type 'ReLU'
I0622 17:45:45.087498   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.087505   991 net.cpp:199] Created Layer inception_3b/relu_5x5 (51)
I0622 17:45:45.087512   991 net.cpp:571] inception_3b/relu_5x5 <- inception_3b/5x5
I0622 17:45:45.087517   991 net.cpp:526] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I0622 17:45:45.087524   991 net.cpp:259] Setting up inception_3b/relu_5x5
I0622 17:45:45.087529   991 net.cpp:266] TEST Top shape for layer 51 'inception_3b/relu_5x5' 3 96 48 156 (2156544)
I0622 17:45:45.087538   991 layer_factory.hpp:172] Creating layer 'inception_3b/pool' of type 'Pooling'
I0622 17:45:45.087543   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.087550   991 net.cpp:199] Created Layer inception_3b/pool (52)
I0622 17:45:45.087555   991 net.cpp:571] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I0622 17:45:45.087563   991 net.cpp:541] inception_3b/pool -> inception_3b/pool
I0622 17:45:45.087618   991 net.cpp:259] Setting up inception_3b/pool
I0622 17:45:45.087625   991 net.cpp:266] TEST Top shape for layer 52 'inception_3b/pool' 3 256 48 156 (5750784)
I0622 17:45:45.087632   991 layer_factory.hpp:172] Creating layer 'inception_3b/pool_proj' of type 'Convolution'
I0622 17:45:45.087646   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.087654   991 net.cpp:199] Created Layer inception_3b/pool_proj (53)
I0622 17:45:45.087661   991 net.cpp:571] inception_3b/pool_proj <- inception_3b/pool
I0622 17:45:45.087666   991 net.cpp:541] inception_3b/pool_proj -> inception_3b/pool_proj
I0622 17:45:45.088078   991 net.cpp:259] Setting up inception_3b/pool_proj
I0622 17:45:45.088085   991 net.cpp:266] TEST Top shape for layer 53 'inception_3b/pool_proj' 3 64 48 156 (1437696)
I0622 17:45:45.088094   991 layer_factory.hpp:172] Creating layer 'inception_3b/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.088100   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.088107   991 net.cpp:199] Created Layer inception_3b/relu_pool_proj (54)
I0622 17:45:45.088114   991 net.cpp:571] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I0622 17:45:45.088119   991 net.cpp:526] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I0622 17:45:45.088126   991 net.cpp:259] Setting up inception_3b/relu_pool_proj
I0622 17:45:45.088132   991 net.cpp:266] TEST Top shape for layer 54 'inception_3b/relu_pool_proj' 3 64 48 156 (1437696)
I0622 17:45:45.088140   991 layer_factory.hpp:172] Creating layer 'inception_3b/output' of type 'Concat'
I0622 17:45:45.088145   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.088151   991 net.cpp:199] Created Layer inception_3b/output (55)
I0622 17:45:45.088157   991 net.cpp:571] inception_3b/output <- inception_3b/1x1
I0622 17:45:45.088163   991 net.cpp:571] inception_3b/output <- inception_3b/3x3
I0622 17:45:45.088171   991 net.cpp:571] inception_3b/output <- inception_3b/5x5
I0622 17:45:45.088176   991 net.cpp:571] inception_3b/output <- inception_3b/pool_proj
I0622 17:45:45.088182   991 net.cpp:541] inception_3b/output -> inception_3b/output
I0622 17:45:45.088208   991 net.cpp:259] Setting up inception_3b/output
I0622 17:45:45.088214   991 net.cpp:266] TEST Top shape for layer 55 'inception_3b/output' 3 480 48 156 (10782720)
I0622 17:45:45.088222   991 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2' of type 'Pooling'
I0622 17:45:45.088227   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.088234   991 net.cpp:199] Created Layer pool3/3x3_s2 (56)
I0622 17:45:45.088240   991 net.cpp:571] pool3/3x3_s2 <- inception_3b/output
I0622 17:45:45.088246   991 net.cpp:541] pool3/3x3_s2 -> pool3/3x3_s2
I0622 17:45:45.088299   991 net.cpp:259] Setting up pool3/3x3_s2
I0622 17:45:45.088305   991 net.cpp:266] TEST Top shape for layer 56 'pool3/3x3_s2' 3 480 24 78 (2695680)
I0622 17:45:45.088312   991 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2_pool3/3x3_s2_0_split' of type 'Split'
I0622 17:45:45.088318   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.088325   991 net.cpp:199] Created Layer pool3/3x3_s2_pool3/3x3_s2_0_split (57)
I0622 17:45:45.088331   991 net.cpp:571] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I0622 17:45:45.088336   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0622 17:45:45.088346   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0622 17:45:45.088353   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0622 17:45:45.088359   991 net.cpp:541] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0622 17:45:45.088423   991 net.cpp:259] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I0622 17:45:45.088429   991 net.cpp:266] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:45.088436   991 net.cpp:266] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:45.088441   991 net.cpp:266] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:45.088454   991 net.cpp:266] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 3 480 24 78 (2695680)
I0622 17:45:45.088460   991 layer_factory.hpp:172] Creating layer 'inception_4a/1x1' of type 'Convolution'
I0622 17:45:45.088466   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.088476   991 net.cpp:199] Created Layer inception_4a/1x1 (58)
I0622 17:45:45.088481   991 net.cpp:571] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0622 17:45:45.088488   991 net.cpp:541] inception_4a/1x1 -> inception_4a/1x1
I0622 17:45:45.089529   991 net.cpp:259] Setting up inception_4a/1x1
I0622 17:45:45.089537   991 net.cpp:266] TEST Top shape for layer 58 'inception_4a/1x1' 3 192 24 78 (1078272)
I0622 17:45:45.089546   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_1x1' of type 'ReLU'
I0622 17:45:45.089552   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.089560   991 net.cpp:199] Created Layer inception_4a/relu_1x1 (59)
I0622 17:45:45.089565   991 net.cpp:571] inception_4a/relu_1x1 <- inception_4a/1x1
I0622 17:45:45.089571   991 net.cpp:526] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I0622 17:45:45.089578   991 net.cpp:259] Setting up inception_4a/relu_1x1
I0622 17:45:45.089584   991 net.cpp:266] TEST Top shape for layer 59 'inception_4a/relu_1x1' 3 192 24 78 (1078272)
I0622 17:45:45.089592   991 layer_factory.hpp:172] Creating layer 'inception_4a/3x3_reduce' of type 'Convolution'
I0622 17:45:45.089597   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.089607   991 net.cpp:199] Created Layer inception_4a/3x3_reduce (60)
I0622 17:45:45.089613   991 net.cpp:571] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0622 17:45:45.089619   991 net.cpp:541] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I0622 17:45:45.090277   991 net.cpp:259] Setting up inception_4a/3x3_reduce
I0622 17:45:45.090286   991 net.cpp:266] TEST Top shape for layer 60 'inception_4a/3x3_reduce' 3 96 24 78 (539136)
I0622 17:45:45.090297   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.090303   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.090310   991 net.cpp:199] Created Layer inception_4a/relu_3x3_reduce (61)
I0622 17:45:45.090315   991 net.cpp:571] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I0622 17:45:45.090322   991 net.cpp:526] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I0622 17:45:45.090329   991 net.cpp:259] Setting up inception_4a/relu_3x3_reduce
I0622 17:45:45.090335   991 net.cpp:266] TEST Top shape for layer 61 'inception_4a/relu_3x3_reduce' 3 96 24 78 (539136)
I0622 17:45:45.090342   991 layer_factory.hpp:172] Creating layer 'inception_4a/3x3' of type 'Convolution'
I0622 17:45:45.090348   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.090358   991 net.cpp:199] Created Layer inception_4a/3x3 (62)
I0622 17:45:45.090363   991 net.cpp:571] inception_4a/3x3 <- inception_4a/3x3_reduce
I0622 17:45:45.090368   991 net.cpp:541] inception_4a/3x3 -> inception_4a/3x3
I0622 17:45:45.092864   991 net.cpp:259] Setting up inception_4a/3x3
I0622 17:45:45.092885   991 net.cpp:266] TEST Top shape for layer 62 'inception_4a/3x3' 3 208 24 78 (1168128)
I0622 17:45:45.092897   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3' of type 'ReLU'
I0622 17:45:45.092905   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.092913   991 net.cpp:199] Created Layer inception_4a/relu_3x3 (63)
I0622 17:45:45.092921   991 net.cpp:571] inception_4a/relu_3x3 <- inception_4a/3x3
I0622 17:45:45.092927   991 net.cpp:526] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I0622 17:45:45.092936   991 net.cpp:259] Setting up inception_4a/relu_3x3
I0622 17:45:45.092959   991 net.cpp:266] TEST Top shape for layer 63 'inception_4a/relu_3x3' 3 208 24 78 (1168128)
I0622 17:45:45.092967   991 layer_factory.hpp:172] Creating layer 'inception_4a/5x5_reduce' of type 'Convolution'
I0622 17:45:45.092972   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.092984   991 net.cpp:199] Created Layer inception_4a/5x5_reduce (64)
I0622 17:45:45.092991   991 net.cpp:571] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0622 17:45:45.092998   991 net.cpp:541] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I0622 17:45:45.093395   991 net.cpp:259] Setting up inception_4a/5x5_reduce
I0622 17:45:45.093405   991 net.cpp:266] TEST Top shape for layer 64 'inception_4a/5x5_reduce' 3 16 24 78 (89856)
I0622 17:45:45.093415   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.093421   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.093428   991 net.cpp:199] Created Layer inception_4a/relu_5x5_reduce (65)
I0622 17:45:45.093433   991 net.cpp:571] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I0622 17:45:45.093441   991 net.cpp:526] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I0622 17:45:45.093447   991 net.cpp:259] Setting up inception_4a/relu_5x5_reduce
I0622 17:45:45.093453   991 net.cpp:266] TEST Top shape for layer 65 'inception_4a/relu_5x5_reduce' 3 16 24 78 (89856)
I0622 17:45:45.093461   991 layer_factory.hpp:172] Creating layer 'inception_4a/5x5' of type 'Convolution'
I0622 17:45:45.093467   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.093477   991 net.cpp:199] Created Layer inception_4a/5x5 (66)
I0622 17:45:45.093482   991 net.cpp:571] inception_4a/5x5 <- inception_4a/5x5_reduce
I0622 17:45:45.093488   991 net.cpp:541] inception_4a/5x5 -> inception_4a/5x5
I0622 17:45:45.093928   991 net.cpp:259] Setting up inception_4a/5x5
I0622 17:45:45.093936   991 net.cpp:266] TEST Top shape for layer 66 'inception_4a/5x5' 3 48 24 78 (269568)
I0622 17:45:45.093945   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5' of type 'ReLU'
I0622 17:45:45.093950   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.093957   991 net.cpp:199] Created Layer inception_4a/relu_5x5 (67)
I0622 17:45:45.093963   991 net.cpp:571] inception_4a/relu_5x5 <- inception_4a/5x5
I0622 17:45:45.093968   991 net.cpp:526] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I0622 17:45:45.093976   991 net.cpp:259] Setting up inception_4a/relu_5x5
I0622 17:45:45.093982   991 net.cpp:266] TEST Top shape for layer 67 'inception_4a/relu_5x5' 3 48 24 78 (269568)
I0622 17:45:45.093989   991 layer_factory.hpp:172] Creating layer 'inception_4a/pool' of type 'Pooling'
I0622 17:45:45.093994   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.094002   991 net.cpp:199] Created Layer inception_4a/pool (68)
I0622 17:45:45.094008   991 net.cpp:571] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0622 17:45:45.094014   991 net.cpp:541] inception_4a/pool -> inception_4a/pool
I0622 17:45:45.094071   991 net.cpp:259] Setting up inception_4a/pool
I0622 17:45:45.094079   991 net.cpp:266] TEST Top shape for layer 68 'inception_4a/pool' 3 480 24 78 (2695680)
I0622 17:45:45.094086   991 layer_factory.hpp:172] Creating layer 'inception_4a/pool_proj' of type 'Convolution'
I0622 17:45:45.094091   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.094100   991 net.cpp:199] Created Layer inception_4a/pool_proj (69)
I0622 17:45:45.094106   991 net.cpp:571] inception_4a/pool_proj <- inception_4a/pool
I0622 17:45:45.094112   991 net.cpp:541] inception_4a/pool_proj -> inception_4a/pool_proj
I0622 17:45:45.095264   991 net.cpp:259] Setting up inception_4a/pool_proj
I0622 17:45:45.095284   991 net.cpp:266] TEST Top shape for layer 69 'inception_4a/pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.095294   991 layer_factory.hpp:172] Creating layer 'inception_4a/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.095301   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.095309   991 net.cpp:199] Created Layer inception_4a/relu_pool_proj (70)
I0622 17:45:45.095314   991 net.cpp:571] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I0622 17:45:45.095320   991 net.cpp:526] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I0622 17:45:45.095329   991 net.cpp:259] Setting up inception_4a/relu_pool_proj
I0622 17:45:45.095335   991 net.cpp:266] TEST Top shape for layer 70 'inception_4a/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.095342   991 layer_factory.hpp:172] Creating layer 'inception_4a/output' of type 'Concat'
I0622 17:45:45.095348   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.095355   991 net.cpp:199] Created Layer inception_4a/output (71)
I0622 17:45:45.095360   991 net.cpp:571] inception_4a/output <- inception_4a/1x1
I0622 17:45:45.095366   991 net.cpp:571] inception_4a/output <- inception_4a/3x3
I0622 17:45:45.095372   991 net.cpp:571] inception_4a/output <- inception_4a/5x5
I0622 17:45:45.095379   991 net.cpp:571] inception_4a/output <- inception_4a/pool_proj
I0622 17:45:45.095384   991 net.cpp:541] inception_4a/output -> inception_4a/output
I0622 17:45:45.095412   991 net.cpp:259] Setting up inception_4a/output
I0622 17:45:45.095420   991 net.cpp:266] TEST Top shape for layer 71 'inception_4a/output' 3 512 24 78 (2875392)
I0622 17:45:45.095427   991 layer_factory.hpp:172] Creating layer 'inception_4a/output_inception_4a/output_0_split' of type 'Split'
I0622 17:45:45.095433   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.095440   991 net.cpp:199] Created Layer inception_4a/output_inception_4a/output_0_split (72)
I0622 17:45:45.095445   991 net.cpp:571] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I0622 17:45:45.095453   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I0622 17:45:45.095458   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I0622 17:45:45.095465   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I0622 17:45:45.095471   991 net.cpp:541] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I0622 17:45:45.095540   991 net.cpp:259] Setting up inception_4a/output_inception_4a/output_0_split
I0622 17:45:45.095546   991 net.cpp:266] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.095552   991 net.cpp:266] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.095558   991 net.cpp:266] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.095564   991 net.cpp:266] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.095571   991 layer_factory.hpp:172] Creating layer 'inception_4b/1x1' of type 'Convolution'
I0622 17:45:45.095577   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.095587   991 net.cpp:199] Created Layer inception_4b/1x1 (73)
I0622 17:45:45.095593   991 net.cpp:571] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_0
I0622 17:45:45.095599   991 net.cpp:541] inception_4b/1x1 -> inception_4b/1x1
I0622 17:45:45.096617   991 net.cpp:259] Setting up inception_4b/1x1
I0622 17:45:45.096626   991 net.cpp:266] TEST Top shape for layer 73 'inception_4b/1x1' 3 160 24 78 (898560)
I0622 17:45:45.096640   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_1x1' of type 'ReLU'
I0622 17:45:45.096647   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.096653   991 net.cpp:199] Created Layer inception_4b/relu_1x1 (74)
I0622 17:45:45.096658   991 net.cpp:571] inception_4b/relu_1x1 <- inception_4b/1x1
I0622 17:45:45.096665   991 net.cpp:526] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I0622 17:45:45.096673   991 net.cpp:259] Setting up inception_4b/relu_1x1
I0622 17:45:45.096678   991 net.cpp:266] TEST Top shape for layer 74 'inception_4b/relu_1x1' 3 160 24 78 (898560)
I0622 17:45:45.096685   991 layer_factory.hpp:172] Creating layer 'inception_4b/3x3_reduce' of type 'Convolution'
I0622 17:45:45.096691   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.096700   991 net.cpp:199] Created Layer inception_4b/3x3_reduce (75)
I0622 17:45:45.096706   991 net.cpp:571] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_1
I0622 17:45:45.096712   991 net.cpp:541] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I0622 17:45:45.097470   991 net.cpp:259] Setting up inception_4b/3x3_reduce
I0622 17:45:45.097478   991 net.cpp:266] TEST Top shape for layer 75 'inception_4b/3x3_reduce' 3 112 24 78 (628992)
I0622 17:45:45.097487   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.097493   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.097501   991 net.cpp:199] Created Layer inception_4b/relu_3x3_reduce (76)
I0622 17:45:45.097506   991 net.cpp:571] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I0622 17:45:45.097512   991 net.cpp:526] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I0622 17:45:45.097520   991 net.cpp:259] Setting up inception_4b/relu_3x3_reduce
I0622 17:45:45.097528   991 net.cpp:266] TEST Top shape for layer 76 'inception_4b/relu_3x3_reduce' 3 112 24 78 (628992)
I0622 17:45:45.097537   991 layer_factory.hpp:172] Creating layer 'inception_4b/3x3' of type 'Convolution'
I0622 17:45:45.097542   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.097551   991 net.cpp:199] Created Layer inception_4b/3x3 (77)
I0622 17:45:45.097558   991 net.cpp:571] inception_4b/3x3 <- inception_4b/3x3_reduce
I0622 17:45:45.097564   991 net.cpp:541] inception_4b/3x3 -> inception_4b/3x3
I0622 17:45:45.099697   991 net.cpp:259] Setting up inception_4b/3x3
I0622 17:45:45.099706   991 net.cpp:266] TEST Top shape for layer 77 'inception_4b/3x3' 3 224 24 78 (1257984)
I0622 17:45:45.099716   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3' of type 'ReLU'
I0622 17:45:45.099722   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.099730   991 net.cpp:199] Created Layer inception_4b/relu_3x3 (78)
I0622 17:45:45.099735   991 net.cpp:571] inception_4b/relu_3x3 <- inception_4b/3x3
I0622 17:45:45.099741   991 net.cpp:526] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I0622 17:45:45.099748   991 net.cpp:259] Setting up inception_4b/relu_3x3
I0622 17:45:45.099755   991 net.cpp:266] TEST Top shape for layer 78 'inception_4b/relu_3x3' 3 224 24 78 (1257984)
I0622 17:45:45.099761   991 layer_factory.hpp:172] Creating layer 'inception_4b/5x5_reduce' of type 'Convolution'
I0622 17:45:45.099767   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.099777   991 net.cpp:199] Created Layer inception_4b/5x5_reduce (79)
I0622 17:45:45.099784   991 net.cpp:571] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_2
I0622 17:45:45.099791   991 net.cpp:541] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I0622 17:45:45.100198   991 net.cpp:259] Setting up inception_4b/5x5_reduce
I0622 17:45:45.100205   991 net.cpp:266] TEST Top shape for layer 79 'inception_4b/5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:45.100220   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.100226   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.100234   991 net.cpp:199] Created Layer inception_4b/relu_5x5_reduce (80)
I0622 17:45:45.100239   991 net.cpp:571] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I0622 17:45:45.100245   991 net.cpp:526] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I0622 17:45:45.100253   991 net.cpp:259] Setting up inception_4b/relu_5x5_reduce
I0622 17:45:45.100260   991 net.cpp:266] TEST Top shape for layer 80 'inception_4b/relu_5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:45.100266   991 layer_factory.hpp:172] Creating layer 'inception_4b/5x5' of type 'Convolution'
I0622 17:45:45.100272   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.100284   991 net.cpp:199] Created Layer inception_4b/5x5 (81)
I0622 17:45:45.100291   991 net.cpp:571] inception_4b/5x5 <- inception_4b/5x5_reduce
I0622 17:45:45.100296   991 net.cpp:541] inception_4b/5x5 -> inception_4b/5x5
I0622 17:45:45.100905   991 net.cpp:259] Setting up inception_4b/5x5
I0622 17:45:45.100914   991 net.cpp:266] TEST Top shape for layer 81 'inception_4b/5x5' 3 64 24 78 (359424)
I0622 17:45:45.100924   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5' of type 'ReLU'
I0622 17:45:45.136905   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.136924   991 net.cpp:199] Created Layer inception_4b/relu_5x5 (82)
I0622 17:45:45.136932   991 net.cpp:571] inception_4b/relu_5x5 <- inception_4b/5x5
I0622 17:45:45.136941   991 net.cpp:526] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I0622 17:45:45.136955   991 net.cpp:259] Setting up inception_4b/relu_5x5
I0622 17:45:45.136962   991 net.cpp:266] TEST Top shape for layer 82 'inception_4b/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:45.136970   991 layer_factory.hpp:172] Creating layer 'inception_4b/pool' of type 'Pooling'
I0622 17:45:45.136976   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.136991   991 net.cpp:199] Created Layer inception_4b/pool (83)
I0622 17:45:45.136997   991 net.cpp:571] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_3
I0622 17:45:45.137004   991 net.cpp:541] inception_4b/pool -> inception_4b/pool
I0622 17:45:45.137138   991 net.cpp:259] Setting up inception_4b/pool
I0622 17:45:45.137146   991 net.cpp:266] TEST Top shape for layer 83 'inception_4b/pool' 3 512 24 78 (2875392)
I0622 17:45:45.137154   991 layer_factory.hpp:172] Creating layer 'inception_4b/pool_proj' of type 'Convolution'
I0622 17:45:45.137161   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.137174   991 net.cpp:199] Created Layer inception_4b/pool_proj (84)
I0622 17:45:45.137181   991 net.cpp:571] inception_4b/pool_proj <- inception_4b/pool
I0622 17:45:45.137187   991 net.cpp:541] inception_4b/pool_proj -> inception_4b/pool_proj
I0622 17:45:45.137832   991 net.cpp:259] Setting up inception_4b/pool_proj
I0622 17:45:45.137841   991 net.cpp:266] TEST Top shape for layer 84 'inception_4b/pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.137852   991 layer_factory.hpp:172] Creating layer 'inception_4b/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.137858   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.137866   991 net.cpp:199] Created Layer inception_4b/relu_pool_proj (85)
I0622 17:45:45.137871   991 net.cpp:571] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I0622 17:45:45.137878   991 net.cpp:526] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I0622 17:45:45.137887   991 net.cpp:259] Setting up inception_4b/relu_pool_proj
I0622 17:45:45.137892   991 net.cpp:266] TEST Top shape for layer 85 'inception_4b/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.137917   991 layer_factory.hpp:172] Creating layer 'inception_4b/output' of type 'Concat'
I0622 17:45:45.137923   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.137931   991 net.cpp:199] Created Layer inception_4b/output (86)
I0622 17:45:45.137938   991 net.cpp:571] inception_4b/output <- inception_4b/1x1
I0622 17:45:45.137945   991 net.cpp:571] inception_4b/output <- inception_4b/3x3
I0622 17:45:45.137953   991 net.cpp:571] inception_4b/output <- inception_4b/5x5
I0622 17:45:45.137958   991 net.cpp:571] inception_4b/output <- inception_4b/pool_proj
I0622 17:45:45.137964   991 net.cpp:541] inception_4b/output -> inception_4b/output
I0622 17:45:45.137996   991 net.cpp:259] Setting up inception_4b/output
I0622 17:45:45.138005   991 net.cpp:266] TEST Top shape for layer 86 'inception_4b/output' 3 512 24 78 (2875392)
I0622 17:45:45.138012   991 layer_factory.hpp:172] Creating layer 'inception_4b/output_inception_4b/output_0_split' of type 'Split'
I0622 17:45:45.138017   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.138026   991 net.cpp:199] Created Layer inception_4b/output_inception_4b/output_0_split (87)
I0622 17:45:45.138034   991 net.cpp:571] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I0622 17:45:45.138043   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I0622 17:45:45.138053   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I0622 17:45:45.138063   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I0622 17:45:45.138070   991 net.cpp:541] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I0622 17:45:45.138149   991 net.cpp:259] Setting up inception_4b/output_inception_4b/output_0_split
I0622 17:45:45.138155   991 net.cpp:266] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.138161   991 net.cpp:266] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.138167   991 net.cpp:266] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.138173   991 net.cpp:266] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.138180   991 layer_factory.hpp:172] Creating layer 'inception_4c/1x1' of type 'Convolution'
I0622 17:45:45.138186   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.138197   991 net.cpp:199] Created Layer inception_4c/1x1 (88)
I0622 17:45:45.138203   991 net.cpp:571] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I0622 17:45:45.138211   991 net.cpp:541] inception_4c/1x1 -> inception_4c/1x1
I0622 17:45:45.139098   991 net.cpp:259] Setting up inception_4c/1x1
I0622 17:45:45.139106   991 net.cpp:266] TEST Top shape for layer 88 'inception_4c/1x1' 3 128 24 78 (718848)
I0622 17:45:45.139117   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_1x1' of type 'ReLU'
I0622 17:45:45.139122   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.139129   991 net.cpp:199] Created Layer inception_4c/relu_1x1 (89)
I0622 17:45:45.139134   991 net.cpp:571] inception_4c/relu_1x1 <- inception_4c/1x1
I0622 17:45:45.139140   991 net.cpp:526] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I0622 17:45:45.139149   991 net.cpp:259] Setting up inception_4c/relu_1x1
I0622 17:45:45.139155   991 net.cpp:266] TEST Top shape for layer 89 'inception_4c/relu_1x1' 3 128 24 78 (718848)
I0622 17:45:45.139163   991 layer_factory.hpp:172] Creating layer 'inception_4c/3x3_reduce' of type 'Convolution'
I0622 17:45:45.139175   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.139187   991 net.cpp:199] Created Layer inception_4c/3x3_reduce (90)
I0622 17:45:45.139194   991 net.cpp:571] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I0622 17:45:45.139200   991 net.cpp:541] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I0622 17:45:45.140028   991 net.cpp:259] Setting up inception_4c/3x3_reduce
I0622 17:45:45.140036   991 net.cpp:266] TEST Top shape for layer 90 'inception_4c/3x3_reduce' 3 128 24 78 (718848)
I0622 17:45:45.140046   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.140051   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.140058   991 net.cpp:199] Created Layer inception_4c/relu_3x3_reduce (91)
I0622 17:45:45.140064   991 net.cpp:571] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I0622 17:45:45.140070   991 net.cpp:526] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I0622 17:45:45.140079   991 net.cpp:259] Setting up inception_4c/relu_3x3_reduce
I0622 17:45:45.140085   991 net.cpp:266] TEST Top shape for layer 91 'inception_4c/relu_3x3_reduce' 3 128 24 78 (718848)
I0622 17:45:45.141036   991 layer_factory.hpp:172] Creating layer 'inception_4c/3x3' of type 'Convolution'
I0622 17:45:45.141046   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.141058   991 net.cpp:199] Created Layer inception_4c/3x3 (92)
I0622 17:45:45.141065   991 net.cpp:571] inception_4c/3x3 <- inception_4c/3x3_reduce
I0622 17:45:45.141072   991 net.cpp:541] inception_4c/3x3 -> inception_4c/3x3
I0622 17:45:45.144433   991 net.cpp:259] Setting up inception_4c/3x3
I0622 17:45:45.144445   991 net.cpp:266] TEST Top shape for layer 92 'inception_4c/3x3' 3 256 24 78 (1437696)
I0622 17:45:45.144455   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3' of type 'ReLU'
I0622 17:45:45.144461   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.144469   991 net.cpp:199] Created Layer inception_4c/relu_3x3 (93)
I0622 17:45:45.144476   991 net.cpp:571] inception_4c/relu_3x3 <- inception_4c/3x3
I0622 17:45:45.144482   991 net.cpp:526] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I0622 17:45:45.144491   991 net.cpp:259] Setting up inception_4c/relu_3x3
I0622 17:45:45.144498   991 net.cpp:266] TEST Top shape for layer 93 'inception_4c/relu_3x3' 3 256 24 78 (1437696)
I0622 17:45:45.144505   991 layer_factory.hpp:172] Creating layer 'inception_4c/5x5_reduce' of type 'Convolution'
I0622 17:45:45.144511   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.144523   991 net.cpp:199] Created Layer inception_4c/5x5_reduce (94)
I0622 17:45:45.144531   991 net.cpp:571] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I0622 17:45:45.144536   991 net.cpp:541] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I0622 17:45:45.144949   991 net.cpp:259] Setting up inception_4c/5x5_reduce
I0622 17:45:45.144958   991 net.cpp:266] TEST Top shape for layer 94 'inception_4c/5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:45.144968   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.144974   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.144981   991 net.cpp:199] Created Layer inception_4c/relu_5x5_reduce (95)
I0622 17:45:45.144987   991 net.cpp:571] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I0622 17:45:45.144994   991 net.cpp:526] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I0622 17:45:45.145001   991 net.cpp:259] Setting up inception_4c/relu_5x5_reduce
I0622 17:45:45.145007   991 net.cpp:266] TEST Top shape for layer 95 'inception_4c/relu_5x5_reduce' 3 24 24 78 (134784)
I0622 17:45:45.145025   991 layer_factory.hpp:172] Creating layer 'inception_4c/5x5' of type 'Convolution'
I0622 17:45:45.145030   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.145043   991 net.cpp:199] Created Layer inception_4c/5x5 (96)
I0622 17:45:45.145051   991 net.cpp:571] inception_4c/5x5 <- inception_4c/5x5_reduce
I0622 17:45:45.145056   991 net.cpp:541] inception_4c/5x5 -> inception_4c/5x5
I0622 17:45:45.145681   991 net.cpp:259] Setting up inception_4c/5x5
I0622 17:45:45.145690   991 net.cpp:266] TEST Top shape for layer 96 'inception_4c/5x5' 3 64 24 78 (359424)
I0622 17:45:45.145699   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5' of type 'ReLU'
I0622 17:45:45.145705   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.145712   991 net.cpp:199] Created Layer inception_4c/relu_5x5 (97)
I0622 17:45:45.145718   991 net.cpp:571] inception_4c/relu_5x5 <- inception_4c/5x5
I0622 17:45:45.145725   991 net.cpp:526] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I0622 17:45:45.145731   991 net.cpp:259] Setting up inception_4c/relu_5x5
I0622 17:45:45.145740   991 net.cpp:266] TEST Top shape for layer 97 'inception_4c/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:45.145746   991 layer_factory.hpp:172] Creating layer 'inception_4c/pool' of type 'Pooling'
I0622 17:45:45.145752   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.145761   991 net.cpp:199] Created Layer inception_4c/pool (98)
I0622 17:45:45.145767   991 net.cpp:571] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I0622 17:45:45.145773   991 net.cpp:541] inception_4c/pool -> inception_4c/pool
I0622 17:45:45.145836   991 net.cpp:259] Setting up inception_4c/pool
I0622 17:45:45.145843   991 net.cpp:266] TEST Top shape for layer 98 'inception_4c/pool' 3 512 24 78 (2875392)
I0622 17:45:45.145853   991 layer_factory.hpp:172] Creating layer 'inception_4c/pool_proj' of type 'Convolution'
I0622 17:45:45.145858   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.145869   991 net.cpp:199] Created Layer inception_4c/pool_proj (99)
I0622 17:45:45.145875   991 net.cpp:571] inception_4c/pool_proj <- inception_4c/pool
I0622 17:45:45.145882   991 net.cpp:541] inception_4c/pool_proj -> inception_4c/pool_proj
I0622 17:45:45.146437   991 net.cpp:259] Setting up inception_4c/pool_proj
I0622 17:45:45.146445   991 net.cpp:266] TEST Top shape for layer 99 'inception_4c/pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.146462   991 layer_factory.hpp:172] Creating layer 'inception_4c/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.146468   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.146476   991 net.cpp:199] Created Layer inception_4c/relu_pool_proj (100)
I0622 17:45:45.146481   991 net.cpp:571] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I0622 17:45:45.146487   991 net.cpp:526] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I0622 17:45:45.146495   991 net.cpp:259] Setting up inception_4c/relu_pool_proj
I0622 17:45:45.146502   991 net.cpp:266] TEST Top shape for layer 100 'inception_4c/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.146508   991 layer_factory.hpp:172] Creating layer 'inception_4c/output' of type 'Concat'
I0622 17:45:45.146514   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.146522   991 net.cpp:199] Created Layer inception_4c/output (101)
I0622 17:45:45.146528   991 net.cpp:571] inception_4c/output <- inception_4c/1x1
I0622 17:45:45.146534   991 net.cpp:571] inception_4c/output <- inception_4c/3x3
I0622 17:45:45.146540   991 net.cpp:571] inception_4c/output <- inception_4c/5x5
I0622 17:45:45.146548   991 net.cpp:571] inception_4c/output <- inception_4c/pool_proj
I0622 17:45:45.146553   991 net.cpp:541] inception_4c/output -> inception_4c/output
I0622 17:45:45.146587   991 net.cpp:259] Setting up inception_4c/output
I0622 17:45:45.146596   991 net.cpp:266] TEST Top shape for layer 101 'inception_4c/output' 3 512 24 78 (2875392)
I0622 17:45:45.146605   991 layer_factory.hpp:172] Creating layer 'inception_4c/output_inception_4c/output_0_split' of type 'Split'
I0622 17:45:45.146610   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.146617   991 net.cpp:199] Created Layer inception_4c/output_inception_4c/output_0_split (102)
I0622 17:45:45.146623   991 net.cpp:571] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I0622 17:45:45.146630   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I0622 17:45:45.146637   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I0622 17:45:45.146643   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I0622 17:45:45.146651   991 net.cpp:541] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I0622 17:45:45.146723   991 net.cpp:259] Setting up inception_4c/output_inception_4c/output_0_split
I0622 17:45:45.146730   991 net.cpp:266] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.146736   991 net.cpp:266] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.146742   991 net.cpp:266] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.146749   991 net.cpp:266] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 3 512 24 78 (2875392)
I0622 17:45:45.146756   991 layer_factory.hpp:172] Creating layer 'inception_4d/1x1' of type 'Convolution'
I0622 17:45:45.146761   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.146772   991 net.cpp:199] Created Layer inception_4d/1x1 (103)
I0622 17:45:45.146780   991 net.cpp:571] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I0622 17:45:45.146785   991 net.cpp:541] inception_4d/1x1 -> inception_4d/1x1
I0622 17:45:45.147552   991 net.cpp:259] Setting up inception_4d/1x1
I0622 17:45:45.147562   991 net.cpp:266] TEST Top shape for layer 103 'inception_4d/1x1' 3 112 24 78 (628992)
I0622 17:45:45.147572   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_1x1' of type 'ReLU'
I0622 17:45:45.147578   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.147584   991 net.cpp:199] Created Layer inception_4d/relu_1x1 (104)
I0622 17:45:45.147590   991 net.cpp:571] inception_4d/relu_1x1 <- inception_4d/1x1
I0622 17:45:45.147598   991 net.cpp:526] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I0622 17:45:45.147604   991 net.cpp:259] Setting up inception_4d/relu_1x1
I0622 17:45:45.147611   991 net.cpp:266] TEST Top shape for layer 104 'inception_4d/relu_1x1' 3 112 24 78 (628992)
I0622 17:45:45.147619   991 layer_factory.hpp:172] Creating layer 'inception_4d/3x3_reduce' of type 'Convolution'
I0622 17:45:45.147624   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.147639   991 net.cpp:199] Created Layer inception_4d/3x3_reduce (105)
I0622 17:45:45.147645   991 net.cpp:571] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I0622 17:45:45.147651   991 net.cpp:541] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I0622 17:45:45.148538   991 net.cpp:259] Setting up inception_4d/3x3_reduce
I0622 17:45:45.148546   991 net.cpp:266] TEST Top shape for layer 105 'inception_4d/3x3_reduce' 3 144 24 78 (808704)
I0622 17:45:45.148555   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.148561   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.148574   991 net.cpp:199] Created Layer inception_4d/relu_3x3_reduce (106)
I0622 17:45:45.148581   991 net.cpp:571] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I0622 17:45:45.148588   991 net.cpp:526] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I0622 17:45:45.148596   991 net.cpp:259] Setting up inception_4d/relu_3x3_reduce
I0622 17:45:45.148603   991 net.cpp:266] TEST Top shape for layer 106 'inception_4d/relu_3x3_reduce' 3 144 24 78 (808704)
I0622 17:45:45.148612   991 layer_factory.hpp:172] Creating layer 'inception_4d/3x3' of type 'Convolution'
I0622 17:45:45.148617   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.148628   991 net.cpp:199] Created Layer inception_4d/3x3 (107)
I0622 17:45:45.148634   991 net.cpp:571] inception_4d/3x3 <- inception_4d/3x3_reduce
I0622 17:45:45.148640   991 net.cpp:541] inception_4d/3x3 -> inception_4d/3x3
I0622 17:45:45.152721   991 net.cpp:259] Setting up inception_4d/3x3
I0622 17:45:45.152734   991 net.cpp:266] TEST Top shape for layer 107 'inception_4d/3x3' 3 288 24 78 (1617408)
I0622 17:45:45.152745   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3' of type 'ReLU'
I0622 17:45:45.152751   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.152760   991 net.cpp:199] Created Layer inception_4d/relu_3x3 (108)
I0622 17:45:45.152766   991 net.cpp:571] inception_4d/relu_3x3 <- inception_4d/3x3
I0622 17:45:45.152773   991 net.cpp:526] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I0622 17:45:45.152781   991 net.cpp:259] Setting up inception_4d/relu_3x3
I0622 17:45:45.152788   991 net.cpp:266] TEST Top shape for layer 108 'inception_4d/relu_3x3' 3 288 24 78 (1617408)
I0622 17:45:45.152796   991 layer_factory.hpp:172] Creating layer 'inception_4d/5x5_reduce' of type 'Convolution'
I0622 17:45:45.152801   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.152813   991 net.cpp:199] Created Layer inception_4d/5x5_reduce (109)
I0622 17:45:45.152820   991 net.cpp:571] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I0622 17:45:45.152827   991 net.cpp:541] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I0622 17:45:45.153287   991 net.cpp:259] Setting up inception_4d/5x5_reduce
I0622 17:45:45.153296   991 net.cpp:266] TEST Top shape for layer 109 'inception_4d/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.153306   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.153311   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.153319   991 net.cpp:199] Created Layer inception_4d/relu_5x5_reduce (110)
I0622 17:45:45.153326   991 net.cpp:571] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I0622 17:45:45.153332   991 net.cpp:526] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I0622 17:45:45.153339   991 net.cpp:259] Setting up inception_4d/relu_5x5_reduce
I0622 17:45:45.153347   991 net.cpp:266] TEST Top shape for layer 110 'inception_4d/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.153354   991 layer_factory.hpp:172] Creating layer 'inception_4d/5x5' of type 'Convolution'
I0622 17:45:45.153360   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.153370   991 net.cpp:199] Created Layer inception_4d/5x5 (111)
I0622 17:45:45.153378   991 net.cpp:571] inception_4d/5x5 <- inception_4d/5x5_reduce
I0622 17:45:45.153383   991 net.cpp:541] inception_4d/5x5 -> inception_4d/5x5
I0622 17:45:45.154103   991 net.cpp:259] Setting up inception_4d/5x5
I0622 17:45:45.154111   991 net.cpp:266] TEST Top shape for layer 111 'inception_4d/5x5' 3 64 24 78 (359424)
I0622 17:45:45.154121   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5' of type 'ReLU'
I0622 17:45:45.154135   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.154142   991 net.cpp:199] Created Layer inception_4d/relu_5x5 (112)
I0622 17:45:45.154148   991 net.cpp:571] inception_4d/relu_5x5 <- inception_4d/5x5
I0622 17:45:45.154155   991 net.cpp:526] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I0622 17:45:45.154163   991 net.cpp:259] Setting up inception_4d/relu_5x5
I0622 17:45:45.154170   991 net.cpp:266] TEST Top shape for layer 112 'inception_4d/relu_5x5' 3 64 24 78 (359424)
I0622 17:45:45.154176   991 layer_factory.hpp:172] Creating layer 'inception_4d/pool' of type 'Pooling'
I0622 17:45:45.154182   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.154191   991 net.cpp:199] Created Layer inception_4d/pool (113)
I0622 17:45:45.154196   991 net.cpp:571] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I0622 17:45:45.154203   991 net.cpp:541] inception_4d/pool -> inception_4d/pool
I0622 17:45:45.154266   991 net.cpp:259] Setting up inception_4d/pool
I0622 17:45:45.154273   991 net.cpp:266] TEST Top shape for layer 113 'inception_4d/pool' 3 512 24 78 (2875392)
I0622 17:45:45.154281   991 layer_factory.hpp:172] Creating layer 'inception_4d/pool_proj' of type 'Convolution'
I0622 17:45:45.154287   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.154299   991 net.cpp:199] Created Layer inception_4d/pool_proj (114)
I0622 17:45:45.154305   991 net.cpp:571] inception_4d/pool_proj <- inception_4d/pool
I0622 17:45:45.154311   991 net.cpp:541] inception_4d/pool_proj -> inception_4d/pool_proj
I0622 17:45:45.154880   991 net.cpp:259] Setting up inception_4d/pool_proj
I0622 17:45:45.154888   991 net.cpp:266] TEST Top shape for layer 114 'inception_4d/pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.154897   991 layer_factory.hpp:172] Creating layer 'inception_4d/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.154903   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.154912   991 net.cpp:199] Created Layer inception_4d/relu_pool_proj (115)
I0622 17:45:45.154919   991 net.cpp:571] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I0622 17:45:45.154925   991 net.cpp:526] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I0622 17:45:45.154932   991 net.cpp:259] Setting up inception_4d/relu_pool_proj
I0622 17:45:45.154938   991 net.cpp:266] TEST Top shape for layer 115 'inception_4d/relu_pool_proj' 3 64 24 78 (359424)
I0622 17:45:45.154947   991 layer_factory.hpp:172] Creating layer 'inception_4d/output' of type 'Concat'
I0622 17:45:45.154953   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.154960   991 net.cpp:199] Created Layer inception_4d/output (116)
I0622 17:45:45.154965   991 net.cpp:571] inception_4d/output <- inception_4d/1x1
I0622 17:45:45.154973   991 net.cpp:571] inception_4d/output <- inception_4d/3x3
I0622 17:45:45.154978   991 net.cpp:571] inception_4d/output <- inception_4d/5x5
I0622 17:45:45.154984   991 net.cpp:571] inception_4d/output <- inception_4d/pool_proj
I0622 17:45:45.154989   991 net.cpp:541] inception_4d/output -> inception_4d/output
I0622 17:45:45.155019   991 net.cpp:259] Setting up inception_4d/output
I0622 17:45:45.155025   991 net.cpp:266] TEST Top shape for layer 116 'inception_4d/output' 3 528 24 78 (2965248)
I0622 17:45:45.155032   991 layer_factory.hpp:172] Creating layer 'inception_4d/output_inception_4d/output_0_split' of type 'Split'
I0622 17:45:45.155038   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.155046   991 net.cpp:199] Created Layer inception_4d/output_inception_4d/output_0_split (117)
I0622 17:45:45.155052   991 net.cpp:571] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I0622 17:45:45.155058   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I0622 17:45:45.155071   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I0622 17:45:45.155079   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I0622 17:45:45.155086   991 net.cpp:541] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I0622 17:45:45.155158   991 net.cpp:259] Setting up inception_4d/output_inception_4d/output_0_split
I0622 17:45:45.155165   991 net.cpp:266] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.155172   991 net.cpp:266] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.155179   991 net.cpp:266] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.155184   991 net.cpp:266] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 3 528 24 78 (2965248)
I0622 17:45:45.155191   991 layer_factory.hpp:172] Creating layer 'inception_4e/1x1' of type 'Convolution'
I0622 17:45:45.155197   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.155208   991 net.cpp:199] Created Layer inception_4e/1x1 (118)
I0622 17:45:45.155215   991 net.cpp:571] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_0
I0622 17:45:45.155221   991 net.cpp:541] inception_4e/1x1 -> inception_4e/1x1
I0622 17:45:45.156608   991 net.cpp:259] Setting up inception_4e/1x1
I0622 17:45:45.156617   991 net.cpp:266] TEST Top shape for layer 118 'inception_4e/1x1' 3 256 24 78 (1437696)
I0622 17:45:45.156626   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_1x1' of type 'ReLU'
I0622 17:45:45.156632   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.156641   991 net.cpp:199] Created Layer inception_4e/relu_1x1 (119)
I0622 17:45:45.156646   991 net.cpp:571] inception_4e/relu_1x1 <- inception_4e/1x1
I0622 17:45:45.156652   991 net.cpp:526] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I0622 17:45:45.156659   991 net.cpp:259] Setting up inception_4e/relu_1x1
I0622 17:45:45.156666   991 net.cpp:266] TEST Top shape for layer 119 'inception_4e/relu_1x1' 3 256 24 78 (1437696)
I0622 17:45:45.156673   991 layer_factory.hpp:172] Creating layer 'inception_4e/3x3_reduce' of type 'Convolution'
I0622 17:45:45.156678   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.156692   991 net.cpp:199] Created Layer inception_4e/3x3_reduce (120)
I0622 17:45:45.156698   991 net.cpp:571] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_1
I0622 17:45:45.156704   991 net.cpp:541] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I0622 17:45:45.157690   991 net.cpp:259] Setting up inception_4e/3x3_reduce
I0622 17:45:45.157698   991 net.cpp:266] TEST Top shape for layer 120 'inception_4e/3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.157708   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.157713   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.157721   991 net.cpp:199] Created Layer inception_4e/relu_3x3_reduce (121)
I0622 17:45:45.157727   991 net.cpp:571] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I0622 17:45:45.157733   991 net.cpp:526] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I0622 17:45:45.157740   991 net.cpp:259] Setting up inception_4e/relu_3x3_reduce
I0622 17:45:45.157747   991 net.cpp:266] TEST Top shape for layer 121 'inception_4e/relu_3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.157754   991 layer_factory.hpp:172] Creating layer 'inception_4e/3x3' of type 'Convolution'
I0622 17:45:45.157760   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.157778   991 net.cpp:199] Created Layer inception_4e/3x3 (122)
I0622 17:45:45.157784   991 net.cpp:571] inception_4e/3x3 <- inception_4e/3x3_reduce
I0622 17:45:45.157790   991 net.cpp:541] inception_4e/3x3 -> inception_4e/3x3
I0622 17:45:45.162470   991 net.cpp:259] Setting up inception_4e/3x3
I0622 17:45:45.162482   991 net.cpp:266] TEST Top shape for layer 122 'inception_4e/3x3' 3 320 24 78 (1797120)
I0622 17:45:45.162492   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3' of type 'ReLU'
I0622 17:45:45.162498   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.162506   991 net.cpp:199] Created Layer inception_4e/relu_3x3 (123)
I0622 17:45:45.162513   991 net.cpp:571] inception_4e/relu_3x3 <- inception_4e/3x3
I0622 17:45:45.162518   991 net.cpp:526] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I0622 17:45:45.162526   991 net.cpp:259] Setting up inception_4e/relu_3x3
I0622 17:45:45.162533   991 net.cpp:266] TEST Top shape for layer 123 'inception_4e/relu_3x3' 3 320 24 78 (1797120)
I0622 17:45:45.162540   991 layer_factory.hpp:172] Creating layer 'inception_4e/5x5_reduce' of type 'Convolution'
I0622 17:45:45.162545   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.162557   991 net.cpp:199] Created Layer inception_4e/5x5_reduce (124)
I0622 17:45:45.162564   991 net.cpp:571] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_2
I0622 17:45:45.162570   991 net.cpp:541] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I0622 17:45:45.163015   991 net.cpp:259] Setting up inception_4e/5x5_reduce
I0622 17:45:45.163023   991 net.cpp:266] TEST Top shape for layer 124 'inception_4e/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.163033   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.163039   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.163046   991 net.cpp:199] Created Layer inception_4e/relu_5x5_reduce (125)
I0622 17:45:45.163053   991 net.cpp:571] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I0622 17:45:45.163058   991 net.cpp:526] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I0622 17:45:45.163066   991 net.cpp:259] Setting up inception_4e/relu_5x5_reduce
I0622 17:45:45.163074   991 net.cpp:266] TEST Top shape for layer 125 'inception_4e/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.163080   991 layer_factory.hpp:172] Creating layer 'inception_4e/5x5' of type 'Convolution'
I0622 17:45:45.163086   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.163097   991 net.cpp:199] Created Layer inception_4e/5x5 (126)
I0622 17:45:45.163103   991 net.cpp:571] inception_4e/5x5 <- inception_4e/5x5_reduce
I0622 17:45:45.163110   991 net.cpp:541] inception_4e/5x5 -> inception_4e/5x5
I0622 17:45:45.164808   991 net.cpp:259] Setting up inception_4e/5x5
I0622 17:45:45.164819   991 net.cpp:266] TEST Top shape for layer 126 'inception_4e/5x5' 3 128 24 78 (718848)
I0622 17:45:45.164829   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5' of type 'ReLU'
I0622 17:45:45.164835   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.164844   991 net.cpp:199] Created Layer inception_4e/relu_5x5 (127)
I0622 17:45:45.164849   991 net.cpp:571] inception_4e/relu_5x5 <- inception_4e/5x5
I0622 17:45:45.164855   991 net.cpp:526] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I0622 17:45:45.164863   991 net.cpp:259] Setting up inception_4e/relu_5x5
I0622 17:45:45.164870   991 net.cpp:266] TEST Top shape for layer 127 'inception_4e/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.164877   991 layer_factory.hpp:172] Creating layer 'inception_4e/pool' of type 'Pooling'
I0622 17:45:45.164883   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.164904   991 net.cpp:199] Created Layer inception_4e/pool (128)
I0622 17:45:45.164912   991 net.cpp:571] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_3
I0622 17:45:45.164918   991 net.cpp:541] inception_4e/pool -> inception_4e/pool
I0622 17:45:45.164981   991 net.cpp:259] Setting up inception_4e/pool
I0622 17:45:45.164988   991 net.cpp:266] TEST Top shape for layer 128 'inception_4e/pool' 3 528 24 78 (2965248)
I0622 17:45:45.164997   991 layer_factory.hpp:172] Creating layer 'inception_4e/pool_proj' of type 'Convolution'
I0622 17:45:45.165002   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.165014   991 net.cpp:199] Created Layer inception_4e/pool_proj (129)
I0622 17:45:45.165020   991 net.cpp:571] inception_4e/pool_proj <- inception_4e/pool
I0622 17:45:45.165027   991 net.cpp:541] inception_4e/pool_proj -> inception_4e/pool_proj
I0622 17:45:45.165874   991 net.cpp:259] Setting up inception_4e/pool_proj
I0622 17:45:45.165882   991 net.cpp:266] TEST Top shape for layer 129 'inception_4e/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.165892   991 layer_factory.hpp:172] Creating layer 'inception_4e/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.165899   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.165905   991 net.cpp:199] Created Layer inception_4e/relu_pool_proj (130)
I0622 17:45:45.165911   991 net.cpp:571] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I0622 17:45:45.165917   991 net.cpp:526] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I0622 17:45:45.165926   991 net.cpp:259] Setting up inception_4e/relu_pool_proj
I0622 17:45:45.165932   991 net.cpp:266] TEST Top shape for layer 130 'inception_4e/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.165940   991 layer_factory.hpp:172] Creating layer 'inception_4e/output' of type 'Concat'
I0622 17:45:45.165946   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.165952   991 net.cpp:199] Created Layer inception_4e/output (131)
I0622 17:45:45.165958   991 net.cpp:571] inception_4e/output <- inception_4e/1x1
I0622 17:45:45.165964   991 net.cpp:571] inception_4e/output <- inception_4e/3x3
I0622 17:45:45.165971   991 net.cpp:571] inception_4e/output <- inception_4e/5x5
I0622 17:45:45.165977   991 net.cpp:571] inception_4e/output <- inception_4e/pool_proj
I0622 17:45:45.165982   991 net.cpp:541] inception_4e/output -> inception_4e/output
I0622 17:45:45.166012   991 net.cpp:259] Setting up inception_4e/output
I0622 17:45:45.166018   991 net.cpp:266] TEST Top shape for layer 131 'inception_4e/output' 3 832 24 78 (4672512)
I0622 17:45:45.166026   991 layer_factory.hpp:172] Creating layer 'inception_4e/output_inception_4e/output_0_split' of type 'Split'
I0622 17:45:45.166033   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.166040   991 net.cpp:199] Created Layer inception_4e/output_inception_4e/output_0_split (132)
I0622 17:45:45.166045   991 net.cpp:571] inception_4e/output_inception_4e/output_0_split <- inception_4e/output
I0622 17:45:45.166052   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_0
I0622 17:45:45.166060   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_1
I0622 17:45:45.166067   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_2
I0622 17:45:45.166074   991 net.cpp:541] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_3
I0622 17:45:45.166146   991 net.cpp:259] Setting up inception_4e/output_inception_4e/output_0_split
I0622 17:45:45.166153   991 net.cpp:266] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.166159   991 net.cpp:266] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.166172   991 net.cpp:266] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.166178   991 net.cpp:266] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.166187   991 layer_factory.hpp:172] Creating layer 'inception_5a/1x1' of type 'Convolution'
I0622 17:45:45.166191   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.166203   991 net.cpp:199] Created Layer inception_5a/1x1 (133)
I0622 17:45:45.166209   991 net.cpp:571] inception_5a/1x1 <- inception_4e/output_inception_4e/output_0_split_0
I0622 17:45:45.166216   991 net.cpp:541] inception_5a/1x1 -> inception_5a/1x1
I0622 17:45:45.168237   991 net.cpp:259] Setting up inception_5a/1x1
I0622 17:45:45.168246   991 net.cpp:266] TEST Top shape for layer 133 'inception_5a/1x1' 3 256 24 78 (1437696)
I0622 17:45:45.168256   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_1x1' of type 'ReLU'
I0622 17:45:45.168262   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.168269   991 net.cpp:199] Created Layer inception_5a/relu_1x1 (134)
I0622 17:45:45.168275   991 net.cpp:571] inception_5a/relu_1x1 <- inception_5a/1x1
I0622 17:45:45.168282   991 net.cpp:526] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I0622 17:45:45.168289   991 net.cpp:259] Setting up inception_5a/relu_1x1
I0622 17:45:45.168295   991 net.cpp:266] TEST Top shape for layer 134 'inception_5a/relu_1x1' 3 256 24 78 (1437696)
I0622 17:45:45.168303   991 layer_factory.hpp:172] Creating layer 'inception_5a/3x3_reduce' of type 'Convolution'
I0622 17:45:45.168309   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.168320   991 net.cpp:199] Created Layer inception_5a/3x3_reduce (135)
I0622 17:45:45.168326   991 net.cpp:571] inception_5a/3x3_reduce <- inception_4e/output_inception_4e/output_0_split_1
I0622 17:45:45.168332   991 net.cpp:541] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I0622 17:45:45.169719   991 net.cpp:259] Setting up inception_5a/3x3_reduce
I0622 17:45:45.169729   991 net.cpp:266] TEST Top shape for layer 135 'inception_5a/3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.169739   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.169745   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.169752   991 net.cpp:199] Created Layer inception_5a/relu_3x3_reduce (136)
I0622 17:45:45.169759   991 net.cpp:571] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I0622 17:45:45.169764   991 net.cpp:526] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I0622 17:45:45.169772   991 net.cpp:259] Setting up inception_5a/relu_3x3_reduce
I0622 17:45:45.169778   991 net.cpp:266] TEST Top shape for layer 136 'inception_5a/relu_3x3_reduce' 3 160 24 78 (898560)
I0622 17:45:45.169786   991 layer_factory.hpp:172] Creating layer 'inception_5a/3x3' of type 'Convolution'
I0622 17:45:45.169792   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.169805   991 net.cpp:199] Created Layer inception_5a/3x3 (137)
I0622 17:45:45.169811   991 net.cpp:571] inception_5a/3x3 <- inception_5a/3x3_reduce
I0622 17:45:45.169816   991 net.cpp:541] inception_5a/3x3 -> inception_5a/3x3
I0622 17:45:45.174481   991 net.cpp:259] Setting up inception_5a/3x3
I0622 17:45:45.174494   991 net.cpp:266] TEST Top shape for layer 137 'inception_5a/3x3' 3 320 24 78 (1797120)
I0622 17:45:45.174504   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3' of type 'ReLU'
I0622 17:45:45.174510   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.174518   991 net.cpp:199] Created Layer inception_5a/relu_3x3 (138)
I0622 17:45:45.174532   991 net.cpp:571] inception_5a/relu_3x3 <- inception_5a/3x3
I0622 17:45:45.174540   991 net.cpp:526] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I0622 17:45:45.174549   991 net.cpp:259] Setting up inception_5a/relu_3x3
I0622 17:45:45.174556   991 net.cpp:266] TEST Top shape for layer 138 'inception_5a/relu_3x3' 3 320 24 78 (1797120)
I0622 17:45:45.174562   991 layer_factory.hpp:172] Creating layer 'inception_5a/5x5_reduce' of type 'Convolution'
I0622 17:45:45.174569   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.174582   991 net.cpp:199] Created Layer inception_5a/5x5_reduce (139)
I0622 17:45:45.174587   991 net.cpp:571] inception_5a/5x5_reduce <- inception_4e/output_inception_4e/output_0_split_2
I0622 17:45:45.174593   991 net.cpp:541] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I0622 17:45:45.175719   991 net.cpp:259] Setting up inception_5a/5x5_reduce
I0622 17:45:45.175730   991 net.cpp:266] TEST Top shape for layer 139 'inception_5a/5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.175741   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.175747   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.175756   991 net.cpp:199] Created Layer inception_5a/relu_5x5_reduce (140)
I0622 17:45:45.175762   991 net.cpp:571] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I0622 17:45:45.175770   991 net.cpp:526] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I0622 17:45:45.175777   991 net.cpp:259] Setting up inception_5a/relu_5x5_reduce
I0622 17:45:45.175784   991 net.cpp:266] TEST Top shape for layer 140 'inception_5a/relu_5x5_reduce' 3 32 24 78 (179712)
I0622 17:45:45.175792   991 layer_factory.hpp:172] Creating layer 'inception_5a/5x5' of type 'Convolution'
I0622 17:45:45.175797   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.175809   991 net.cpp:199] Created Layer inception_5a/5x5 (141)
I0622 17:45:45.175817   991 net.cpp:571] inception_5a/5x5 <- inception_5a/5x5_reduce
I0622 17:45:45.175822   991 net.cpp:541] inception_5a/5x5 -> inception_5a/5x5
I0622 17:45:45.177507   991 net.cpp:259] Setting up inception_5a/5x5
I0622 17:45:45.177518   991 net.cpp:266] TEST Top shape for layer 141 'inception_5a/5x5' 3 128 24 78 (718848)
I0622 17:45:45.177529   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5' of type 'ReLU'
I0622 17:45:45.177536   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.177542   991 net.cpp:199] Created Layer inception_5a/relu_5x5 (142)
I0622 17:45:45.177548   991 net.cpp:571] inception_5a/relu_5x5 <- inception_5a/5x5
I0622 17:45:45.177556   991 net.cpp:526] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I0622 17:45:45.177563   991 net.cpp:259] Setting up inception_5a/relu_5x5
I0622 17:45:45.177569   991 net.cpp:266] TEST Top shape for layer 142 'inception_5a/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.177577   991 layer_factory.hpp:172] Creating layer 'inception_5a/pool' of type 'Pooling'
I0622 17:45:45.177582   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.177592   991 net.cpp:199] Created Layer inception_5a/pool (143)
I0622 17:45:45.177598   991 net.cpp:571] inception_5a/pool <- inception_4e/output_inception_4e/output_0_split_3
I0622 17:45:45.177605   991 net.cpp:541] inception_5a/pool -> inception_5a/pool
I0622 17:45:45.177670   991 net.cpp:259] Setting up inception_5a/pool
I0622 17:45:45.177677   991 net.cpp:266] TEST Top shape for layer 143 'inception_5a/pool' 3 832 24 78 (4672512)
I0622 17:45:45.177685   991 layer_factory.hpp:172] Creating layer 'inception_5a/pool_proj' of type 'Convolution'
I0622 17:45:45.177690   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.177701   991 net.cpp:199] Created Layer inception_5a/pool_proj (144)
I0622 17:45:45.177716   991 net.cpp:571] inception_5a/pool_proj <- inception_5a/pool
I0622 17:45:45.177723   991 net.cpp:541] inception_5a/pool_proj -> inception_5a/pool_proj
I0622 17:45:45.178884   991 net.cpp:259] Setting up inception_5a/pool_proj
I0622 17:45:45.178892   991 net.cpp:266] TEST Top shape for layer 144 'inception_5a/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.178902   991 layer_factory.hpp:172] Creating layer 'inception_5a/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.178908   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.178915   991 net.cpp:199] Created Layer inception_5a/relu_pool_proj (145)
I0622 17:45:45.178921   991 net.cpp:571] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I0622 17:45:45.178928   991 net.cpp:526] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I0622 17:45:45.178936   991 net.cpp:259] Setting up inception_5a/relu_pool_proj
I0622 17:45:45.178943   991 net.cpp:266] TEST Top shape for layer 145 'inception_5a/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.178951   991 layer_factory.hpp:172] Creating layer 'inception_5a/output' of type 'Concat'
I0622 17:45:45.178956   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.178963   991 net.cpp:199] Created Layer inception_5a/output (146)
I0622 17:45:45.178969   991 net.cpp:571] inception_5a/output <- inception_5a/1x1
I0622 17:45:45.178975   991 net.cpp:571] inception_5a/output <- inception_5a/3x3
I0622 17:45:45.178982   991 net.cpp:571] inception_5a/output <- inception_5a/5x5
I0622 17:45:45.178988   991 net.cpp:571] inception_5a/output <- inception_5a/pool_proj
I0622 17:45:45.178993   991 net.cpp:541] inception_5a/output -> inception_5a/output
I0622 17:45:45.179023   991 net.cpp:259] Setting up inception_5a/output
I0622 17:45:45.179030   991 net.cpp:266] TEST Top shape for layer 146 'inception_5a/output' 3 832 24 78 (4672512)
I0622 17:45:45.179038   991 layer_factory.hpp:172] Creating layer 'inception_5a/output_inception_5a/output_0_split' of type 'Split'
I0622 17:45:45.179044   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.179052   991 net.cpp:199] Created Layer inception_5a/output_inception_5a/output_0_split (147)
I0622 17:45:45.179059   991 net.cpp:571] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I0622 17:45:45.179064   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I0622 17:45:45.179072   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I0622 17:45:45.179080   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I0622 17:45:45.179086   991 net.cpp:541] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I0622 17:45:45.179159   991 net.cpp:259] Setting up inception_5a/output_inception_5a/output_0_split
I0622 17:45:45.179167   991 net.cpp:266] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.179173   991 net.cpp:266] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.179179   991 net.cpp:266] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.179185   991 net.cpp:266] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 3 832 24 78 (4672512)
I0622 17:45:45.179193   991 layer_factory.hpp:172] Creating layer 'inception_5b/1x1' of type 'Convolution'
I0622 17:45:45.179198   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.179209   991 net.cpp:199] Created Layer inception_5b/1x1 (148)
I0622 17:45:45.179216   991 net.cpp:571] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I0622 17:45:45.179229   991 net.cpp:541] inception_5b/1x1 -> inception_5b/1x1
I0622 17:45:45.182688   991 net.cpp:259] Setting up inception_5b/1x1
I0622 17:45:45.182699   991 net.cpp:266] TEST Top shape for layer 148 'inception_5b/1x1' 3 384 24 78 (2156544)
I0622 17:45:45.182709   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_1x1' of type 'ReLU'
I0622 17:45:45.182715   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.182724   991 net.cpp:199] Created Layer inception_5b/relu_1x1 (149)
I0622 17:45:45.182730   991 net.cpp:571] inception_5b/relu_1x1 <- inception_5b/1x1
I0622 17:45:45.182736   991 net.cpp:526] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I0622 17:45:45.182744   991 net.cpp:259] Setting up inception_5b/relu_1x1
I0622 17:45:45.182751   991 net.cpp:266] TEST Top shape for layer 149 'inception_5b/relu_1x1' 3 384 24 78 (2156544)
I0622 17:45:45.182759   991 layer_factory.hpp:172] Creating layer 'inception_5b/3x3_reduce' of type 'Convolution'
I0622 17:45:45.182765   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.182776   991 net.cpp:199] Created Layer inception_5b/3x3_reduce (150)
I0622 17:45:45.182783   991 net.cpp:571] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I0622 17:45:45.182790   991 net.cpp:541] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I0622 17:45:45.184402   991 net.cpp:259] Setting up inception_5b/3x3_reduce
I0622 17:45:45.184412   991 net.cpp:266] TEST Top shape for layer 150 'inception_5b/3x3_reduce' 3 192 24 78 (1078272)
I0622 17:45:45.184420   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3_reduce' of type 'ReLU'
I0622 17:45:45.184427   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.184432   991 net.cpp:199] Created Layer inception_5b/relu_3x3_reduce (151)
I0622 17:45:45.184438   991 net.cpp:571] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I0622 17:45:45.184445   991 net.cpp:526] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I0622 17:45:45.184453   991 net.cpp:259] Setting up inception_5b/relu_3x3_reduce
I0622 17:45:45.184460   991 net.cpp:266] TEST Top shape for layer 151 'inception_5b/relu_3x3_reduce' 3 192 24 78 (1078272)
I0622 17:45:45.184468   991 layer_factory.hpp:172] Creating layer 'inception_5b/3x3' of type 'Convolution'
I0622 17:45:45.184473   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.184484   991 net.cpp:199] Created Layer inception_5b/3x3 (152)
I0622 17:45:45.184490   991 net.cpp:571] inception_5b/3x3 <- inception_5b/3x3_reduce
I0622 17:45:45.184496   991 net.cpp:541] inception_5b/3x3 -> inception_5b/3x3
I0622 17:45:45.190991   991 net.cpp:259] Setting up inception_5b/3x3
I0622 17:45:45.191004   991 net.cpp:266] TEST Top shape for layer 152 'inception_5b/3x3' 3 384 24 78 (2156544)
I0622 17:45:45.191015   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3' of type 'ReLU'
I0622 17:45:45.191020   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.191028   991 net.cpp:199] Created Layer inception_5b/relu_3x3 (153)
I0622 17:45:45.191035   991 net.cpp:571] inception_5b/relu_3x3 <- inception_5b/3x3
I0622 17:45:45.191041   991 net.cpp:526] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I0622 17:45:45.191051   991 net.cpp:259] Setting up inception_5b/relu_3x3
I0622 17:45:45.191056   991 net.cpp:266] TEST Top shape for layer 153 'inception_5b/relu_3x3' 3 384 24 78 (2156544)
I0622 17:45:45.191063   991 layer_factory.hpp:172] Creating layer 'inception_5b/5x5_reduce' of type 'Convolution'
I0622 17:45:45.191069   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.191082   991 net.cpp:199] Created Layer inception_5b/5x5_reduce (154)
I0622 17:45:45.191087   991 net.cpp:571] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I0622 17:45:45.191107   991 net.cpp:541] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I0622 17:45:45.191761   991 net.cpp:259] Setting up inception_5b/5x5_reduce
I0622 17:45:45.191769   991 net.cpp:266] TEST Top shape for layer 154 'inception_5b/5x5_reduce' 3 48 24 78 (269568)
I0622 17:45:45.191779   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5_reduce' of type 'ReLU'
I0622 17:45:45.191785   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.191792   991 net.cpp:199] Created Layer inception_5b/relu_5x5_reduce (155)
I0622 17:45:45.191797   991 net.cpp:571] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I0622 17:45:45.191804   991 net.cpp:526] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I0622 17:45:45.191813   991 net.cpp:259] Setting up inception_5b/relu_5x5_reduce
I0622 17:45:45.191819   991 net.cpp:266] TEST Top shape for layer 155 'inception_5b/relu_5x5_reduce' 3 48 24 78 (269568)
I0622 17:45:45.191826   991 layer_factory.hpp:172] Creating layer 'inception_5b/5x5' of type 'Convolution'
I0622 17:45:45.191833   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.191843   991 net.cpp:199] Created Layer inception_5b/5x5 (156)
I0622 17:45:45.191849   991 net.cpp:571] inception_5b/5x5 <- inception_5b/5x5_reduce
I0622 17:45:45.191855   991 net.cpp:541] inception_5b/5x5 -> inception_5b/5x5
I0622 17:45:45.193409   991 net.cpp:259] Setting up inception_5b/5x5
I0622 17:45:45.193418   991 net.cpp:266] TEST Top shape for layer 156 'inception_5b/5x5' 3 128 24 78 (718848)
I0622 17:45:45.193428   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5' of type 'ReLU'
I0622 17:45:45.193433   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.193439   991 net.cpp:199] Created Layer inception_5b/relu_5x5 (157)
I0622 17:45:45.193445   991 net.cpp:571] inception_5b/relu_5x5 <- inception_5b/5x5
I0622 17:45:45.193451   991 net.cpp:526] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I0622 17:45:45.193459   991 net.cpp:259] Setting up inception_5b/relu_5x5
I0622 17:45:45.193466   991 net.cpp:266] TEST Top shape for layer 157 'inception_5b/relu_5x5' 3 128 24 78 (718848)
I0622 17:45:45.193473   991 layer_factory.hpp:172] Creating layer 'inception_5b/pool' of type 'Pooling'
I0622 17:45:45.193478   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.193487   991 net.cpp:199] Created Layer inception_5b/pool (158)
I0622 17:45:45.193493   991 net.cpp:571] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I0622 17:45:45.193500   991 net.cpp:541] inception_5b/pool -> inception_5b/pool
I0622 17:45:45.193563   991 net.cpp:259] Setting up inception_5b/pool
I0622 17:45:45.193570   991 net.cpp:266] TEST Top shape for layer 158 'inception_5b/pool' 3 832 24 78 (4672512)
I0622 17:45:45.193578   991 layer_factory.hpp:172] Creating layer 'inception_5b/pool_proj' of type 'Convolution'
I0622 17:45:45.193584   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.193598   991 net.cpp:199] Created Layer inception_5b/pool_proj (159)
I0622 17:45:45.193603   991 net.cpp:571] inception_5b/pool_proj <- inception_5b/pool
I0622 17:45:45.193610   991 net.cpp:541] inception_5b/pool_proj -> inception_5b/pool_proj
I0622 17:45:45.194773   991 net.cpp:259] Setting up inception_5b/pool_proj
I0622 17:45:45.194782   991 net.cpp:266] TEST Top shape for layer 159 'inception_5b/pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.194790   991 layer_factory.hpp:172] Creating layer 'inception_5b/relu_pool_proj' of type 'ReLU'
I0622 17:45:45.194797   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.194803   991 net.cpp:199] Created Layer inception_5b/relu_pool_proj (160)
I0622 17:45:45.194815   991 net.cpp:571] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I0622 17:45:45.194823   991 net.cpp:526] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I0622 17:45:45.194833   991 net.cpp:259] Setting up inception_5b/relu_pool_proj
I0622 17:45:45.194839   991 net.cpp:266] TEST Top shape for layer 160 'inception_5b/relu_pool_proj' 3 128 24 78 (718848)
I0622 17:45:45.194845   991 layer_factory.hpp:172] Creating layer 'inception_5b/output' of type 'Concat'
I0622 17:45:45.194851   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.194859   991 net.cpp:199] Created Layer inception_5b/output (161)
I0622 17:45:45.194864   991 net.cpp:571] inception_5b/output <- inception_5b/1x1
I0622 17:45:45.194869   991 net.cpp:571] inception_5b/output <- inception_5b/3x3
I0622 17:45:45.194876   991 net.cpp:571] inception_5b/output <- inception_5b/5x5
I0622 17:45:45.194882   991 net.cpp:571] inception_5b/output <- inception_5b/pool_proj
I0622 17:45:45.194888   991 net.cpp:541] inception_5b/output -> inception_5b/output
I0622 17:45:45.194917   991 net.cpp:259] Setting up inception_5b/output
I0622 17:45:45.194924   991 net.cpp:266] TEST Top shape for layer 161 'inception_5b/output' 3 1024 24 78 (5750784)
I0622 17:45:45.194932   991 layer_factory.hpp:172] Creating layer 'pool5/drop_s1' of type 'Dropout'
I0622 17:45:45.194937   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.194949   991 net.cpp:199] Created Layer pool5/drop_s1 (162)
I0622 17:45:45.194955   991 net.cpp:571] pool5/drop_s1 <- inception_5b/output
I0622 17:45:45.194962   991 net.cpp:541] pool5/drop_s1 -> pool5/drop_s1
I0622 17:45:45.204872   991 net.cpp:259] Setting up pool5/drop_s1
I0622 17:45:45.204885   991 net.cpp:266] TEST Top shape for layer 162 'pool5/drop_s1' 3 1024 24 78 (5750784)
I0622 17:45:45.204892   991 layer_factory.hpp:172] Creating layer 'pool5/drop_s1_pool5/drop_s1_0_split' of type 'Split'
I0622 17:45:45.204898   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.204905   991 net.cpp:199] Created Layer pool5/drop_s1_pool5/drop_s1_0_split (163)
I0622 17:45:45.204911   991 net.cpp:571] pool5/drop_s1_pool5/drop_s1_0_split <- pool5/drop_s1
I0622 17:45:45.204918   991 net.cpp:541] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_0
I0622 17:45:45.204926   991 net.cpp:541] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_1
I0622 17:45:45.204972   991 net.cpp:259] Setting up pool5/drop_s1_pool5/drop_s1_0_split
I0622 17:45:45.204980   991 net.cpp:266] TEST Top shape for layer 163 'pool5/drop_s1_pool5/drop_s1_0_split' 3 1024 24 78 (5750784)
I0622 17:45:45.204987   991 net.cpp:266] TEST Top shape for layer 163 'pool5/drop_s1_pool5/drop_s1_0_split' 3 1024 24 78 (5750784)
I0622 17:45:45.204994   991 layer_factory.hpp:172] Creating layer 'cvg/classifier' of type 'Convolution'
I0622 17:45:45.204999   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.205010   991 net.cpp:199] Created Layer cvg/classifier (164)
I0622 17:45:45.205016   991 net.cpp:571] cvg/classifier <- pool5/drop_s1_pool5/drop_s1_0_split_0
I0622 17:45:45.205024   991 net.cpp:541] cvg/classifier -> cvg/classifier
I0622 17:45:45.205348   991 net.cpp:259] Setting up cvg/classifier
I0622 17:45:45.205358   991 net.cpp:266] TEST Top shape for layer 164 'cvg/classifier' 3 1 24 78 (5616)
I0622 17:45:45.205366   991 layer_factory.hpp:172] Creating layer 'coverage/sig' of type 'Sigmoid'
I0622 17:45:45.205374   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.205379   991 net.cpp:199] Created Layer coverage/sig (165)
I0622 17:45:45.205385   991 net.cpp:571] coverage/sig <- cvg/classifier
I0622 17:45:45.205392   991 net.cpp:541] coverage/sig -> coverage
I0622 17:45:45.205421   991 net.cpp:259] Setting up coverage/sig
I0622 17:45:45.205428   991 net.cpp:266] TEST Top shape for layer 165 'coverage/sig' 3 1 24 78 (5616)
I0622 17:45:45.205442   991 layer_factory.hpp:172] Creating layer 'coverage_coverage/sig_0_split' of type 'Split'
I0622 17:45:45.205448   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.205456   991 net.cpp:199] Created Layer coverage_coverage/sig_0_split (166)
I0622 17:45:45.205461   991 net.cpp:571] coverage_coverage/sig_0_split <- coverage
I0622 17:45:45.205468   991 net.cpp:541] coverage_coverage/sig_0_split -> coverage_coverage/sig_0_split_0
I0622 17:45:45.205474   991 net.cpp:541] coverage_coverage/sig_0_split -> coverage_coverage/sig_0_split_1
I0622 17:45:45.205519   991 net.cpp:259] Setting up coverage_coverage/sig_0_split
I0622 17:45:45.205526   991 net.cpp:266] TEST Top shape for layer 166 'coverage_coverage/sig_0_split' 3 1 24 78 (5616)
I0622 17:45:45.205533   991 net.cpp:266] TEST Top shape for layer 166 'coverage_coverage/sig_0_split' 3 1 24 78 (5616)
I0622 17:45:45.205540   991 layer_factory.hpp:172] Creating layer 'bbox/regressor' of type 'Convolution'
I0622 17:45:45.205546   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.205559   991 net.cpp:199] Created Layer bbox/regressor (167)
I0622 17:45:45.205564   991 net.cpp:571] bbox/regressor <- pool5/drop_s1_pool5/drop_s1_0_split_1
I0622 17:45:45.205570   991 net.cpp:541] bbox/regressor -> bboxes
I0622 17:45:45.205934   991 net.cpp:259] Setting up bbox/regressor
I0622 17:45:45.205941   991 net.cpp:266] TEST Top shape for layer 167 'bbox/regressor' 3 4 24 78 (22464)
I0622 17:45:45.205950   991 layer_factory.hpp:172] Creating layer 'bboxes_bbox/regressor_0_split' of type 'Split'
I0622 17:45:45.205956   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.205963   991 net.cpp:199] Created Layer bboxes_bbox/regressor_0_split (168)
I0622 17:45:45.205968   991 net.cpp:571] bboxes_bbox/regressor_0_split <- bboxes
I0622 17:45:45.205976   991 net.cpp:541] bboxes_bbox/regressor_0_split -> bboxes_bbox/regressor_0_split_0
I0622 17:45:45.205982   991 net.cpp:541] bboxes_bbox/regressor_0_split -> bboxes_bbox/regressor_0_split_1
I0622 17:45:45.206030   991 net.cpp:259] Setting up bboxes_bbox/regressor_0_split
I0622 17:45:45.206039   991 net.cpp:266] TEST Top shape for layer 168 'bboxes_bbox/regressor_0_split' 3 4 24 78 (22464)
I0622 17:45:45.206045   991 net.cpp:266] TEST Top shape for layer 168 'bboxes_bbox/regressor_0_split' 3 4 24 78 (22464)
I0622 17:45:45.206053   991 layer_factory.hpp:172] Creating layer 'bbox_mask' of type 'Eltwise'
I0622 17:45:45.206059   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206068   991 net.cpp:199] Created Layer bbox_mask (169)
I0622 17:45:45.206073   991 net.cpp:571] bbox_mask <- bboxes_bbox/regressor_0_split_0
I0622 17:45:45.206079   991 net.cpp:571] bbox_mask <- coverage-block
I0622 17:45:45.206085   991 net.cpp:541] bbox_mask -> bboxes-masked
I0622 17:45:45.206115   991 net.cpp:259] Setting up bbox_mask
I0622 17:45:45.206121   991 net.cpp:266] TEST Top shape for layer 169 'bbox_mask' 3 4 24 78 (22464)
I0622 17:45:45.206128   991 layer_factory.hpp:172] Creating layer 'bbox-norm' of type 'Eltwise'
I0622 17:45:45.206135   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206141   991 net.cpp:199] Created Layer bbox-norm (170)
I0622 17:45:45.206147   991 net.cpp:571] bbox-norm <- bboxes-masked
I0622 17:45:45.206153   991 net.cpp:571] bbox-norm <- size-block_size-block_0_split_1
I0622 17:45:45.206161   991 net.cpp:541] bbox-norm -> bboxes-masked-norm
I0622 17:45:45.206187   991 net.cpp:259] Setting up bbox-norm
I0622 17:45:45.206193   991 net.cpp:266] TEST Top shape for layer 170 'bbox-norm' 3 4 24 78 (22464)
I0622 17:45:45.206200   991 layer_factory.hpp:172] Creating layer 'bbox-obj-norm' of type 'Eltwise'
I0622 17:45:45.206207   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206219   991 net.cpp:199] Created Layer bbox-obj-norm (171)
I0622 17:45:45.206225   991 net.cpp:571] bbox-obj-norm <- bboxes-masked-norm
I0622 17:45:45.206231   991 net.cpp:571] bbox-obj-norm <- obj-block_obj-block_0_split_1
I0622 17:45:45.206238   991 net.cpp:541] bbox-obj-norm -> bboxes-obj-masked-norm
I0622 17:45:45.206265   991 net.cpp:259] Setting up bbox-obj-norm
I0622 17:45:45.206272   991 net.cpp:266] TEST Top shape for layer 171 'bbox-obj-norm' 3 4 24 78 (22464)
I0622 17:45:45.206279   991 layer_factory.hpp:172] Creating layer 'bbox_loss' of type 'L1Loss'
I0622 17:45:45.206285   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206293   991 net.cpp:199] Created Layer bbox_loss (172)
I0622 17:45:45.206300   991 net.cpp:571] bbox_loss <- bboxes-obj-masked-norm
I0622 17:45:45.206306   991 net.cpp:571] bbox_loss <- bbox-obj-label-norm
I0622 17:45:45.206312   991 net.cpp:541] bbox_loss -> loss_bbox
I0622 17:45:45.206368   991 net.cpp:259] Setting up bbox_loss
I0622 17:45:45.206375   991 net.cpp:266] TEST Top shape for layer 172 'bbox_loss' (1)
I0622 17:45:45.206380   991 net.cpp:270]     with loss weight 2
I0622 17:45:45.206393   991 layer_factory.hpp:172] Creating layer 'coverage_loss' of type 'EuclideanLoss'
I0622 17:45:45.206398   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206406   991 net.cpp:199] Created Layer coverage_loss (173)
I0622 17:45:45.206411   991 net.cpp:571] coverage_loss <- coverage_coverage/sig_0_split_0
I0622 17:45:45.206418   991 net.cpp:571] coverage_loss <- coverage-label_slice-label_4_split_0
I0622 17:45:45.206424   991 net.cpp:541] coverage_loss -> loss_coverage
I0622 17:45:45.206467   991 net.cpp:259] Setting up coverage_loss
I0622 17:45:45.206473   991 net.cpp:266] TEST Top shape for layer 173 'coverage_loss' (1)
I0622 17:45:45.206480   991 net.cpp:270]     with loss weight 1
I0622 17:45:45.206487   991 layer_factory.hpp:172] Creating layer 'cluster' of type 'Python'
I0622 17:45:45.206492   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.206575   991 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I0622 17:45:45.557042   991 net.cpp:199] Created Layer cluster (174)
I0622 17:45:45.557065   991 net.cpp:571] cluster <- coverage_coverage/sig_0_split_1
I0622 17:45:45.557080   991 net.cpp:571] cluster <- bboxes_bbox/regressor_0_split_1
I0622 17:45:45.557088   991 net.cpp:541] cluster -> bbox-list
I0622 17:45:45.557445   991 net.cpp:259] Setting up cluster
I0622 17:45:45.557456   991 net.cpp:266] TEST Top shape for layer 174 'cluster' 3 50 5 (750)
I0622 17:45:45.557466   991 layer_factory.hpp:172] Creating layer 'cluster_gt' of type 'Python'
I0622 17:45:45.557473   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.557498   991 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I0622 17:45:45.557518   991 net.cpp:199] Created Layer cluster_gt (175)
I0622 17:45:45.557525   991 net.cpp:571] cluster_gt <- coverage-label_slice-label_4_split_1
I0622 17:45:45.557533   991 net.cpp:571] cluster_gt <- bbox-label_slice-label_1_split_1
I0622 17:45:45.557539   991 net.cpp:541] cluster_gt -> bbox-list-label
I0622 17:45:45.557651   991 net.cpp:259] Setting up cluster_gt
I0622 17:45:45.557660   991 net.cpp:266] TEST Top shape for layer 175 'cluster_gt' 3 50 5 (750)
I0622 17:45:45.557668   991 layer_factory.hpp:172] Creating layer 'score' of type 'Python'
I0622 17:45:45.557674   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.557687   991 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I0622 17:45:45.557950   991 net.cpp:199] Created Layer score (176)
I0622 17:45:45.557960   991 net.cpp:571] score <- bbox-list-label
I0622 17:45:45.557966   991 net.cpp:571] score <- bbox-list
I0622 17:45:45.557984   991 net.cpp:541] score -> bbox-list-scored
I0622 17:45:45.558115   991 net.cpp:259] Setting up score
I0622 17:45:45.558122   991 net.cpp:266] TEST Top shape for layer 176 'score' 3 50 5 (750)
I0622 17:45:45.558130   991 layer_factory.hpp:172] Creating layer 'mAP' of type 'Python'
I0622 17:45:45.558136   991 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0622 17:45:45.558151   991 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I0622 17:45:45.558167   991 net.cpp:199] Created Layer mAP (177)
I0622 17:45:45.558174   991 net.cpp:571] mAP <- bbox-list-scored
I0622 17:45:45.558182   991 net.cpp:541] mAP -> mAP
I0622 17:45:45.558192   991 net.cpp:541] mAP -> precision
I0622 17:45:45.558199   991 net.cpp:541] mAP -> recall
I0622 17:45:45.558285   991 net.cpp:259] Setting up mAP
I0622 17:45:45.558293   991 net.cpp:266] TEST Top shape for layer 177 'mAP' 1 (1)
I0622 17:45:45.558300   991 net.cpp:266] TEST Top shape for layer 177 'mAP' 1 (1)
I0622 17:45:45.558305   991 net.cpp:266] TEST Top shape for layer 177 'mAP' 1 (1)
I0622 17:45:45.558310   991 net.cpp:337] mAP does not need backward computation.
I0622 17:45:45.558316   991 net.cpp:337] score does not need backward computation.
I0622 17:45:45.558321   991 net.cpp:337] cluster_gt does not need backward computation.
I0622 17:45:45.558327   991 net.cpp:337] cluster does not need backward computation.
I0622 17:45:45.558333   991 net.cpp:335] coverage_loss needs backward computation.
I0622 17:45:45.558339   991 net.cpp:335] bbox_loss needs backward computation.
I0622 17:45:45.558346   991 net.cpp:335] bbox-obj-norm needs backward computation.
I0622 17:45:45.558352   991 net.cpp:335] bbox-norm needs backward computation.
I0622 17:45:45.558358   991 net.cpp:335] bbox_mask needs backward computation.
I0622 17:45:45.558365   991 net.cpp:335] bboxes_bbox/regressor_0_split needs backward computation.
I0622 17:45:45.558370   991 net.cpp:335] bbox/regressor needs backward computation.
I0622 17:45:45.558377   991 net.cpp:335] coverage_coverage/sig_0_split needs backward computation.
I0622 17:45:45.558382   991 net.cpp:335] coverage/sig needs backward computation.
I0622 17:45:45.558388   991 net.cpp:335] cvg/classifier needs backward computation.
I0622 17:45:45.558394   991 net.cpp:335] pool5/drop_s1_pool5/drop_s1_0_split needs backward computation.
I0622 17:45:45.558400   991 net.cpp:335] pool5/drop_s1 needs backward computation.
I0622 17:45:45.558406   991 net.cpp:335] inception_5b/output needs backward computation.
I0622 17:45:45.558413   991 net.cpp:335] inception_5b/relu_pool_proj needs backward computation.
I0622 17:45:45.558419   991 net.cpp:335] inception_5b/pool_proj needs backward computation.
I0622 17:45:45.558425   991 net.cpp:335] inception_5b/pool needs backward computation.
I0622 17:45:45.558431   991 net.cpp:335] inception_5b/relu_5x5 needs backward computation.
I0622 17:45:45.558437   991 net.cpp:335] inception_5b/5x5 needs backward computation.
I0622 17:45:45.558444   991 net.cpp:335] inception_5b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558449   991 net.cpp:335] inception_5b/5x5_reduce needs backward computation.
I0622 17:45:45.558454   991 net.cpp:335] inception_5b/relu_3x3 needs backward computation.
I0622 17:45:45.558460   991 net.cpp:335] inception_5b/3x3 needs backward computation.
I0622 17:45:45.558465   991 net.cpp:335] inception_5b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558471   991 net.cpp:335] inception_5b/3x3_reduce needs backward computation.
I0622 17:45:45.558477   991 net.cpp:335] inception_5b/relu_1x1 needs backward computation.
I0622 17:45:45.558483   991 net.cpp:335] inception_5b/1x1 needs backward computation.
I0622 17:45:45.558488   991 net.cpp:335] inception_5a/output_inception_5a/output_0_split needs backward computation.
I0622 17:45:45.558495   991 net.cpp:335] inception_5a/output needs backward computation.
I0622 17:45:45.558501   991 net.cpp:335] inception_5a/relu_pool_proj needs backward computation.
I0622 17:45:45.558513   991 net.cpp:335] inception_5a/pool_proj needs backward computation.
I0622 17:45:45.558519   991 net.cpp:335] inception_5a/pool needs backward computation.
I0622 17:45:45.558526   991 net.cpp:335] inception_5a/relu_5x5 needs backward computation.
I0622 17:45:45.558531   991 net.cpp:335] inception_5a/5x5 needs backward computation.
I0622 17:45:45.558537   991 net.cpp:335] inception_5a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558542   991 net.cpp:335] inception_5a/5x5_reduce needs backward computation.
I0622 17:45:45.558548   991 net.cpp:335] inception_5a/relu_3x3 needs backward computation.
I0622 17:45:45.558554   991 net.cpp:335] inception_5a/3x3 needs backward computation.
I0622 17:45:45.558559   991 net.cpp:335] inception_5a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558564   991 net.cpp:335] inception_5a/3x3_reduce needs backward computation.
I0622 17:45:45.558570   991 net.cpp:335] inception_5a/relu_1x1 needs backward computation.
I0622 17:45:45.558576   991 net.cpp:335] inception_5a/1x1 needs backward computation.
I0622 17:45:45.558583   991 net.cpp:335] inception_4e/output_inception_4e/output_0_split needs backward computation.
I0622 17:45:45.558588   991 net.cpp:335] inception_4e/output needs backward computation.
I0622 17:45:45.558595   991 net.cpp:335] inception_4e/relu_pool_proj needs backward computation.
I0622 17:45:45.558600   991 net.cpp:335] inception_4e/pool_proj needs backward computation.
I0622 17:45:45.558606   991 net.cpp:335] inception_4e/pool needs backward computation.
I0622 17:45:45.558612   991 net.cpp:335] inception_4e/relu_5x5 needs backward computation.
I0622 17:45:45.558617   991 net.cpp:335] inception_4e/5x5 needs backward computation.
I0622 17:45:45.558624   991 net.cpp:335] inception_4e/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558629   991 net.cpp:335] inception_4e/5x5_reduce needs backward computation.
I0622 17:45:45.558634   991 net.cpp:335] inception_4e/relu_3x3 needs backward computation.
I0622 17:45:45.558640   991 net.cpp:335] inception_4e/3x3 needs backward computation.
I0622 17:45:45.558646   991 net.cpp:335] inception_4e/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558652   991 net.cpp:335] inception_4e/3x3_reduce needs backward computation.
I0622 17:45:45.558657   991 net.cpp:335] inception_4e/relu_1x1 needs backward computation.
I0622 17:45:45.558663   991 net.cpp:335] inception_4e/1x1 needs backward computation.
I0622 17:45:45.558670   991 net.cpp:335] inception_4d/output_inception_4d/output_0_split needs backward computation.
I0622 17:45:45.558676   991 net.cpp:335] inception_4d/output needs backward computation.
I0622 17:45:45.558681   991 net.cpp:335] inception_4d/relu_pool_proj needs backward computation.
I0622 17:45:45.558687   991 net.cpp:335] inception_4d/pool_proj needs backward computation.
I0622 17:45:45.558693   991 net.cpp:335] inception_4d/pool needs backward computation.
I0622 17:45:45.558699   991 net.cpp:335] inception_4d/relu_5x5 needs backward computation.
I0622 17:45:45.558704   991 net.cpp:335] inception_4d/5x5 needs backward computation.
I0622 17:45:45.558710   991 net.cpp:335] inception_4d/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558715   991 net.cpp:335] inception_4d/5x5_reduce needs backward computation.
I0622 17:45:45.558722   991 net.cpp:335] inception_4d/relu_3x3 needs backward computation.
I0622 17:45:45.558727   991 net.cpp:335] inception_4d/3x3 needs backward computation.
I0622 17:45:45.558732   991 net.cpp:335] inception_4d/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558738   991 net.cpp:335] inception_4d/3x3_reduce needs backward computation.
I0622 17:45:45.558743   991 net.cpp:335] inception_4d/relu_1x1 needs backward computation.
I0622 17:45:45.558748   991 net.cpp:335] inception_4d/1x1 needs backward computation.
I0622 17:45:45.558754   991 net.cpp:335] inception_4c/output_inception_4c/output_0_split needs backward computation.
I0622 17:45:45.558760   991 net.cpp:335] inception_4c/output needs backward computation.
I0622 17:45:45.558771   991 net.cpp:335] inception_4c/relu_pool_proj needs backward computation.
I0622 17:45:45.558776   991 net.cpp:335] inception_4c/pool_proj needs backward computation.
I0622 17:45:45.558782   991 net.cpp:335] inception_4c/pool needs backward computation.
I0622 17:45:45.558789   991 net.cpp:335] inception_4c/relu_5x5 needs backward computation.
I0622 17:45:45.558794   991 net.cpp:335] inception_4c/5x5 needs backward computation.
I0622 17:45:45.558799   991 net.cpp:335] inception_4c/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558804   991 net.cpp:335] inception_4c/5x5_reduce needs backward computation.
I0622 17:45:45.558810   991 net.cpp:335] inception_4c/relu_3x3 needs backward computation.
I0622 17:45:45.558816   991 net.cpp:335] inception_4c/3x3 needs backward computation.
I0622 17:45:45.558821   991 net.cpp:335] inception_4c/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558827   991 net.cpp:335] inception_4c/3x3_reduce needs backward computation.
I0622 17:45:45.558833   991 net.cpp:335] inception_4c/relu_1x1 needs backward computation.
I0622 17:45:45.558840   991 net.cpp:335] inception_4c/1x1 needs backward computation.
I0622 17:45:45.558845   991 net.cpp:335] inception_4b/output_inception_4b/output_0_split needs backward computation.
I0622 17:45:45.558851   991 net.cpp:335] inception_4b/output needs backward computation.
I0622 17:45:45.558857   991 net.cpp:335] inception_4b/relu_pool_proj needs backward computation.
I0622 17:45:45.558862   991 net.cpp:335] inception_4b/pool_proj needs backward computation.
I0622 17:45:45.558868   991 net.cpp:335] inception_4b/pool needs backward computation.
I0622 17:45:45.558873   991 net.cpp:335] inception_4b/relu_5x5 needs backward computation.
I0622 17:45:45.558879   991 net.cpp:335] inception_4b/5x5 needs backward computation.
I0622 17:45:45.558885   991 net.cpp:335] inception_4b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558892   991 net.cpp:335] inception_4b/5x5_reduce needs backward computation.
I0622 17:45:45.558897   991 net.cpp:335] inception_4b/relu_3x3 needs backward computation.
I0622 17:45:45.558902   991 net.cpp:335] inception_4b/3x3 needs backward computation.
I0622 17:45:45.558908   991 net.cpp:335] inception_4b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.558913   991 net.cpp:335] inception_4b/3x3_reduce needs backward computation.
I0622 17:45:45.558919   991 net.cpp:335] inception_4b/relu_1x1 needs backward computation.
I0622 17:45:45.558925   991 net.cpp:335] inception_4b/1x1 needs backward computation.
I0622 17:45:45.558931   991 net.cpp:335] inception_4a/output_inception_4a/output_0_split needs backward computation.
I0622 17:45:45.558936   991 net.cpp:335] inception_4a/output needs backward computation.
I0622 17:45:45.558943   991 net.cpp:335] inception_4a/relu_pool_proj needs backward computation.
I0622 17:45:45.558948   991 net.cpp:335] inception_4a/pool_proj needs backward computation.
I0622 17:45:45.558954   991 net.cpp:335] inception_4a/pool needs backward computation.
I0622 17:45:45.558960   991 net.cpp:335] inception_4a/relu_5x5 needs backward computation.
I0622 17:45:45.558965   991 net.cpp:335] inception_4a/5x5 needs backward computation.
I0622 17:45:45.558971   991 net.cpp:335] inception_4a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.558977   991 net.cpp:335] inception_4a/5x5_reduce needs backward computation.
I0622 17:45:45.558982   991 net.cpp:335] inception_4a/relu_3x3 needs backward computation.
I0622 17:45:45.558989   991 net.cpp:335] inception_4a/3x3 needs backward computation.
I0622 17:45:45.558995   991 net.cpp:335] inception_4a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.559000   991 net.cpp:335] inception_4a/3x3_reduce needs backward computation.
I0622 17:45:45.559005   991 net.cpp:335] inception_4a/relu_1x1 needs backward computation.
I0622 17:45:45.559011   991 net.cpp:335] inception_4a/1x1 needs backward computation.
I0622 17:45:45.559017   991 net.cpp:335] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I0622 17:45:45.559022   991 net.cpp:335] pool3/3x3_s2 needs backward computation.
I0622 17:45:45.559032   991 net.cpp:335] inception_3b/output needs backward computation.
I0622 17:45:45.559038   991 net.cpp:335] inception_3b/relu_pool_proj needs backward computation.
I0622 17:45:45.559044   991 net.cpp:335] inception_3b/pool_proj needs backward computation.
I0622 17:45:45.559051   991 net.cpp:335] inception_3b/pool needs backward computation.
I0622 17:45:45.559056   991 net.cpp:335] inception_3b/relu_5x5 needs backward computation.
I0622 17:45:45.559062   991 net.cpp:335] inception_3b/5x5 needs backward computation.
I0622 17:45:45.559067   991 net.cpp:335] inception_3b/relu_5x5_reduce needs backward computation.
I0622 17:45:45.559073   991 net.cpp:335] inception_3b/5x5_reduce needs backward computation.
I0622 17:45:45.559078   991 net.cpp:335] inception_3b/relu_3x3 needs backward computation.
I0622 17:45:45.559084   991 net.cpp:335] inception_3b/3x3 needs backward computation.
I0622 17:45:45.559090   991 net.cpp:335] inception_3b/relu_3x3_reduce needs backward computation.
I0622 17:45:45.559095   991 net.cpp:335] inception_3b/3x3_reduce needs backward computation.
I0622 17:45:45.559101   991 net.cpp:335] inception_3b/relu_1x1 needs backward computation.
I0622 17:45:45.559106   991 net.cpp:335] inception_3b/1x1 needs backward computation.
I0622 17:45:45.559113   991 net.cpp:335] inception_3a/output_inception_3a/output_0_split needs backward computation.
I0622 17:45:45.559118   991 net.cpp:335] inception_3a/output needs backward computation.
I0622 17:45:45.559125   991 net.cpp:335] inception_3a/relu_pool_proj needs backward computation.
I0622 17:45:45.559130   991 net.cpp:335] inception_3a/pool_proj needs backward computation.
I0622 17:45:45.559136   991 net.cpp:335] inception_3a/pool needs backward computation.
I0622 17:45:45.559142   991 net.cpp:335] inception_3a/relu_5x5 needs backward computation.
I0622 17:45:45.559147   991 net.cpp:335] inception_3a/5x5 needs backward computation.
I0622 17:45:45.559154   991 net.cpp:335] inception_3a/relu_5x5_reduce needs backward computation.
I0622 17:45:45.559159   991 net.cpp:335] inception_3a/5x5_reduce needs backward computation.
I0622 17:45:45.559165   991 net.cpp:335] inception_3a/relu_3x3 needs backward computation.
I0622 17:45:45.559171   991 net.cpp:335] inception_3a/3x3 needs backward computation.
I0622 17:45:45.559177   991 net.cpp:335] inception_3a/relu_3x3_reduce needs backward computation.
I0622 17:45:45.559182   991 net.cpp:335] inception_3a/3x3_reduce needs backward computation.
I0622 17:45:45.559188   991 net.cpp:335] inception_3a/relu_1x1 needs backward computation.
I0622 17:45:45.559195   991 net.cpp:335] inception_3a/1x1 needs backward computation.
I0622 17:45:45.559201   991 net.cpp:335] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I0622 17:45:45.559206   991 net.cpp:335] pool2/3x3_s2 needs backward computation.
I0622 17:45:45.559212   991 net.cpp:335] conv2/norm2 needs backward computation.
I0622 17:45:45.559218   991 net.cpp:335] conv2/relu_3x3 needs backward computation.
I0622 17:45:45.559223   991 net.cpp:335] conv2/3x3 needs backward computation.
I0622 17:45:45.559231   991 net.cpp:335] conv2/relu_3x3_reduce needs backward computation.
I0622 17:45:45.559236   991 net.cpp:335] conv2/3x3_reduce needs backward computation.
I0622 17:45:45.559242   991 net.cpp:335] pool1/norm1 needs backward computation.
I0622 17:45:45.559247   991 net.cpp:335] pool1/3x3_s2 needs backward computation.
I0622 17:45:45.559253   991 net.cpp:335] conv1/relu_7x7 needs backward computation.
I0622 17:45:45.559258   991 net.cpp:335] conv1/7x7_s2 needs backward computation.
I0622 17:45:45.559264   991 net.cpp:337] bb-obj-norm does not need backward computation.
I0622 17:45:45.559271   991 net.cpp:337] bb-label-norm does not need backward computation.
I0622 17:45:45.559278   991 net.cpp:337] obj-block_obj-block_0_split does not need backward computation.
I0622 17:45:45.559284   991 net.cpp:337] obj-block does not need backward computation.
I0622 17:45:45.559293   991 net.cpp:337] size-block_size-block_0_split does not need backward computation.
I0622 17:45:45.559303   991 net.cpp:337] size-block does not need backward computation.
I0622 17:45:45.559309   991 net.cpp:337] coverage-block does not need backward computation.
I0622 17:45:45.559317   991 net.cpp:337] coverage-label_slice-label_4_split does not need backward computation.
I0622 17:45:45.559324   991 net.cpp:337] obj-label_slice-label_3_split does not need backward computation.
I0622 17:45:45.559330   991 net.cpp:337] size-label_slice-label_2_split does not need backward computation.
I0622 17:45:45.559337   991 net.cpp:337] bbox-label_slice-label_1_split does not need backward computation.
I0622 17:45:45.559343   991 net.cpp:337] foreground-label_slice-label_0_split does not need backward computation.
I0622 17:45:45.559351   991 net.cpp:337] slice-label does not need backward computation.
I0622 17:45:45.559357   991 net.cpp:337] val_transform does not need backward computation.
I0622 17:45:45.559365   991 net.cpp:337] val_label does not need backward computation.
I0622 17:45:45.559370   991 net.cpp:337] val_data does not need backward computation.
I0622 17:45:45.559375   991 net.cpp:379] This network produces output loss_bbox
I0622 17:45:45.559381   991 net.cpp:379] This network produces output loss_coverage
I0622 17:45:45.559386   991 net.cpp:379] This network produces output mAP
I0622 17:45:45.559392   991 net.cpp:379] This network produces output precision
I0622 17:45:45.559397   991 net.cpp:379] This network produces output recall
I0622 17:45:45.559502   991 net.cpp:402] Top memory (TEST) required for data: 1912328464 diff: 1912328464
I0622 17:45:45.559509   991 net.cpp:405] Bottom memory (TEST) required for data: 1912328424 diff: 1912328424
I0622 17:45:45.559514   991 net.cpp:408] Shared (in-place) memory (TEST) by data: 408305664 diff: 408305664
I0622 17:45:45.559520   991 net.cpp:411] Parameters memory (TEST) required for data: 23914712 diff: 23914712
I0622 17:45:45.559525   991 net.cpp:414] Parameters shared memory (TEST) by data: 0 diff: 0
I0622 17:45:45.559530   991 net.cpp:420] Network initialization done.
I0622 17:45:45.560087   991 solver.cpp:54] Solver scaffolding done.
I0622 17:45:45.566853   991 caffe.cpp:154] Finetuning from /passenger_capacity_data/bvlc_googlenet.caffemodel
I0622 17:45:45.587357   991 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /passenger_capacity_data/bvlc_googlenet.caffemodel
I0622 17:45:45.623391   991 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0622 17:45:45.623513   991 net.cpp:1129] Ignoring source layer data
I0622 17:45:45.623518   991 net.cpp:1129] Ignoring source layer label_data_1_split
I0622 17:45:45.623522   991 net.cpp:1137] Copying source layer conv1/7x7_s2 Type:Convolution #blobs=2
I0622 17:45:45.623589   991 net.cpp:1137] Copying source layer conv1/relu_7x7 Type:ReLU #blobs=0
I0622 17:45:45.623594   991 net.cpp:1137] Copying source layer pool1/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.623597   991 net.cpp:1137] Copying source layer pool1/norm1 Type:LRN #blobs=0
I0622 17:45:45.623601   991 net.cpp:1137] Copying source layer conv2/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.623634   991 net.cpp:1137] Copying source layer conv2/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.623638   991 net.cpp:1137] Copying source layer conv2/3x3 Type:Convolution #blobs=2
I0622 17:45:45.624310   991 net.cpp:1137] Copying source layer conv2/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.624315   991 net.cpp:1137] Copying source layer conv2/norm2 Type:LRN #blobs=0
I0622 17:45:45.624320   991 net.cpp:1137] Copying source layer pool2/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.624323   991 net.cpp:1137] Copying source layer pool2/3x3_s2_pool2/3x3_s2_0_split Type:Split #blobs=0
I0622 17:45:45.624326   991 net.cpp:1137] Copying source layer inception_3a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.624415   991 net.cpp:1137] Copying source layer inception_3a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.624419   991 net.cpp:1137] Copying source layer inception_3a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.624563   991 net.cpp:1137] Copying source layer inception_3a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.624568   991 net.cpp:1137] Copying source layer inception_3a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.625298   991 net.cpp:1137] Copying source layer inception_3a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.625303   991 net.cpp:1137] Copying source layer inception_3a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.625330   991 net.cpp:1137] Copying source layer inception_3a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.625334   991 net.cpp:1137] Copying source layer inception_3a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.625425   991 net.cpp:1137] Copying source layer inception_3a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.625429   991 net.cpp:1137] Copying source layer inception_3a/pool Type:Pooling #blobs=0
I0622 17:45:45.625433   991 net.cpp:1137] Copying source layer inception_3a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.625479   991 net.cpp:1137] Copying source layer inception_3a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.625483   991 net.cpp:1137] Copying source layer inception_3a/output Type:Concat #blobs=0
I0622 17:45:45.625488   991 net.cpp:1137] Copying source layer inception_3a/output_inception_3a/output_0_split Type:Split #blobs=0
I0622 17:45:45.625491   991 net.cpp:1137] Copying source layer inception_3b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.625716   991 net.cpp:1137] Copying source layer inception_3b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.625720   991 net.cpp:1137] Copying source layer inception_3b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.625926   991 net.cpp:1137] Copying source layer inception_3b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.625929   991 net.cpp:1137] Copying source layer inception_3b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.627410   991 net.cpp:1137] Copying source layer inception_3b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.627414   991 net.cpp:1137] Copying source layer inception_3b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.627476   991 net.cpp:1137] Copying source layer inception_3b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.627480   991 net.cpp:1137] Copying source layer inception_3b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.627998   991 net.cpp:1137] Copying source layer inception_3b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.628002   991 net.cpp:1137] Copying source layer inception_3b/pool Type:Pooling #blobs=0
I0622 17:45:45.628007   991 net.cpp:1137] Copying source layer inception_3b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.628113   991 net.cpp:1137] Copying source layer inception_3b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.628116   991 net.cpp:1137] Copying source layer inception_3b/output Type:Concat #blobs=0
I0622 17:45:45.628120   991 net.cpp:1137] Copying source layer pool3/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.628124   991 net.cpp:1137] Copying source layer pool3/3x3_s2_pool3/3x3_s2_0_split Type:Split #blobs=0
I0622 17:45:45.628129   991 net.cpp:1137] Copying source layer inception_4a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.628690   991 net.cpp:1137] Copying source layer inception_4a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.628695   991 net.cpp:1137] Copying source layer inception_4a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.629009   991 net.cpp:1137] Copying source layer inception_4a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.629014   991 net.cpp:1137] Copying source layer inception_4a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.630146   991 net.cpp:1137] Copying source layer inception_4a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.630151   991 net.cpp:1137] Copying source layer inception_4a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.630203   991 net.cpp:1137] Copying source layer inception_4a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.630206   991 net.cpp:1137] Copying source layer inception_4a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.630347   991 net.cpp:1137] Copying source layer inception_4a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.630352   991 net.cpp:1137] Copying source layer inception_4a/pool Type:Pooling #blobs=0
I0622 17:45:45.630357   991 net.cpp:1137] Copying source layer inception_4a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.630568   991 net.cpp:1137] Copying source layer inception_4a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.630571   991 net.cpp:1137] Copying source layer inception_4a/output Type:Concat #blobs=0
I0622 17:45:45.630575   991 net.cpp:1137] Copying source layer inception_4a/output_inception_4a/output_0_split Type:Split #blobs=0
I0622 17:45:45.630579   991 net.cpp:1129] Ignoring source layer loss1/ave_pool
I0622 17:45:45.630583   991 net.cpp:1129] Ignoring source layer loss1/conv
I0622 17:45:45.630586   991 net.cpp:1129] Ignoring source layer loss1/relu_conv
I0622 17:45:45.630589   991 net.cpp:1129] Ignoring source layer loss1/fc
I0622 17:45:45.630594   991 net.cpp:1129] Ignoring source layer loss1/relu_fc
I0622 17:45:45.630597   991 net.cpp:1129] Ignoring source layer loss1/drop_fc
I0622 17:45:45.630601   991 net.cpp:1129] Ignoring source layer loss1/classifier
I0622 17:45:45.630604   991 net.cpp:1129] Ignoring source layer loss1/loss
I0622 17:45:45.630609   991 net.cpp:1137] Copying source layer inception_4b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.631167   991 net.cpp:1137] Copying source layer inception_4b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.631172   991 net.cpp:1137] Copying source layer inception_4b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.631561   991 net.cpp:1137] Copying source layer inception_4b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.631567   991 net.cpp:1137] Copying source layer inception_4b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.633076   991 net.cpp:1137] Copying source layer inception_4b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.633081   991 net.cpp:1137] Copying source layer inception_4b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.633165   991 net.cpp:1137] Copying source layer inception_4b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.633170   991 net.cpp:1137] Copying source layer inception_4b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.633431   991 net.cpp:1137] Copying source layer inception_4b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.633436   991 net.cpp:1137] Copying source layer inception_4b/pool Type:Pooling #blobs=0
I0622 17:45:45.633440   991 net.cpp:1137] Copying source layer inception_4b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.633672   991 net.cpp:1137] Copying source layer inception_4b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.633677   991 net.cpp:1137] Copying source layer inception_4b/output Type:Concat #blobs=0
I0622 17:45:45.633680   991 net.cpp:1137] Copying source layer inception_4b/output_inception_4b/output_0_split Type:Split #blobs=0
I0622 17:45:45.633683   991 net.cpp:1137] Copying source layer inception_4c/1x1 Type:Convolution #blobs=2
I0622 17:45:45.634129   991 net.cpp:1137] Copying source layer inception_4c/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.634132   991 net.cpp:1137] Copying source layer inception_4c/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.634577   991 net.cpp:1137] Copying source layer inception_4c/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.634580   991 net.cpp:1137] Copying source layer inception_4c/3x3 Type:Convolution #blobs=2
I0622 17:45:45.636554   991 net.cpp:1137] Copying source layer inception_4c/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.636559   991 net.cpp:1137] Copying source layer inception_4c/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.636639   991 net.cpp:1137] Copying source layer inception_4c/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.636643   991 net.cpp:1137] Copying source layer inception_4c/5x5 Type:Convolution #blobs=2
I0622 17:45:45.636906   991 net.cpp:1137] Copying source layer inception_4c/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.636910   991 net.cpp:1137] Copying source layer inception_4c/pool Type:Pooling #blobs=0
I0622 17:45:45.636921   991 net.cpp:1137] Copying source layer inception_4c/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.637145   991 net.cpp:1137] Copying source layer inception_4c/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.637151   991 net.cpp:1137] Copying source layer inception_4c/output Type:Concat #blobs=0
I0622 17:45:45.637153   991 net.cpp:1137] Copying source layer inception_4c/output_inception_4c/output_0_split Type:Split #blobs=0
I0622 17:45:45.637157   991 net.cpp:1137] Copying source layer inception_4d/1x1 Type:Convolution #blobs=2
I0622 17:45:45.637547   991 net.cpp:1137] Copying source layer inception_4d/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.637552   991 net.cpp:1137] Copying source layer inception_4d/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.638049   991 net.cpp:1137] Copying source layer inception_4d/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.638054   991 net.cpp:1137] Copying source layer inception_4d/3x3 Type:Convolution #blobs=2
I0622 17:45:45.640550   991 net.cpp:1137] Copying source layer inception_4d/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.640555   991 net.cpp:1137] Copying source layer inception_4d/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.640671   991 net.cpp:1137] Copying source layer inception_4d/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.640676   991 net.cpp:1137] Copying source layer inception_4d/5x5 Type:Convolution #blobs=2
I0622 17:45:45.641024   991 net.cpp:1137] Copying source layer inception_4d/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.641028   991 net.cpp:1137] Copying source layer inception_4d/pool Type:Pooling #blobs=0
I0622 17:45:45.641032   991 net.cpp:1137] Copying source layer inception_4d/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.641244   991 net.cpp:1137] Copying source layer inception_4d/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.641249   991 net.cpp:1137] Copying source layer inception_4d/output Type:Concat #blobs=0
I0622 17:45:45.641253   991 net.cpp:1137] Copying source layer inception_4d/output_inception_4d/output_0_split Type:Split #blobs=0
I0622 17:45:45.641258   991 net.cpp:1129] Ignoring source layer loss2/ave_pool
I0622 17:45:45.641260   991 net.cpp:1129] Ignoring source layer loss2/conv
I0622 17:45:45.641264   991 net.cpp:1129] Ignoring source layer loss2/relu_conv
I0622 17:45:45.641268   991 net.cpp:1129] Ignoring source layer loss2/fc
I0622 17:45:45.641271   991 net.cpp:1129] Ignoring source layer loss2/relu_fc
I0622 17:45:45.641275   991 net.cpp:1129] Ignoring source layer loss2/drop_fc
I0622 17:45:45.641279   991 net.cpp:1129] Ignoring source layer loss2/classifier
I0622 17:45:45.641283   991 net.cpp:1129] Ignoring source layer loss2/loss
I0622 17:45:45.641286   991 net.cpp:1137] Copying source layer inception_4e/1x1 Type:Convolution #blobs=2
I0622 17:45:45.642195   991 net.cpp:1137] Copying source layer inception_4e/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.642199   991 net.cpp:1137] Copying source layer inception_4e/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.642771   991 net.cpp:1137] Copying source layer inception_4e/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.642776   991 net.cpp:1137] Copying source layer inception_4e/3x3 Type:Convolution #blobs=2
I0622 17:45:45.645858   991 net.cpp:1137] Copying source layer inception_4e/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.645862   991 net.cpp:1137] Copying source layer inception_4e/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.645982   991 net.cpp:1137] Copying source layer inception_4e/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.645987   991 net.cpp:1137] Copying source layer inception_4e/5x5 Type:Convolution #blobs=2
I0622 17:45:45.646682   991 net.cpp:1137] Copying source layer inception_4e/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.646687   991 net.cpp:1137] Copying source layer inception_4e/pool Type:Pooling #blobs=0
I0622 17:45:45.646692   991 net.cpp:1137] Copying source layer inception_4e/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.647152   991 net.cpp:1137] Copying source layer inception_4e/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.647162   991 net.cpp:1137] Copying source layer inception_4e/output Type:Concat #blobs=0
I0622 17:45:45.647166   991 net.cpp:1129] Ignoring source layer pool4/3x3_s2
I0622 17:45:45.647171   991 net.cpp:1129] Ignoring source layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0622 17:45:45.647174   991 net.cpp:1137] Copying source layer inception_5a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.648600   991 net.cpp:1137] Copying source layer inception_5a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.648604   991 net.cpp:1137] Copying source layer inception_5a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.649474   991 net.cpp:1137] Copying source layer inception_5a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.649479   991 net.cpp:1137] Copying source layer inception_5a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.652559   991 net.cpp:1137] Copying source layer inception_5a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.652565   991 net.cpp:1137] Copying source layer inception_5a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.652748   991 net.cpp:1137] Copying source layer inception_5a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.652753   991 net.cpp:1137] Copying source layer inception_5a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.653412   991 net.cpp:1137] Copying source layer inception_5a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.653417   991 net.cpp:1137] Copying source layer inception_5a/pool Type:Pooling #blobs=0
I0622 17:45:45.653421   991 net.cpp:1137] Copying source layer inception_5a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.654139   991 net.cpp:1137] Copying source layer inception_5a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.654142   991 net.cpp:1137] Copying source layer inception_5a/output Type:Concat #blobs=0
I0622 17:45:45.654146   991 net.cpp:1137] Copying source layer inception_5a/output_inception_5a/output_0_split Type:Split #blobs=0
I0622 17:45:45.654151   991 net.cpp:1137] Copying source layer inception_5b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.656289   991 net.cpp:1137] Copying source layer inception_5b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.656294   991 net.cpp:1137] Copying source layer inception_5b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.657343   991 net.cpp:1137] Copying source layer inception_5b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.657348   991 net.cpp:1137] Copying source layer inception_5b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.661471   991 net.cpp:1137] Copying source layer inception_5b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.661478   991 net.cpp:1137] Copying source layer inception_5b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.661752   991 net.cpp:1137] Copying source layer inception_5b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.661757   991 net.cpp:1137] Copying source layer inception_5b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.662786   991 net.cpp:1137] Copying source layer inception_5b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.662791   991 net.cpp:1137] Copying source layer inception_5b/pool Type:Pooling #blobs=0
I0622 17:45:45.662796   991 net.cpp:1137] Copying source layer inception_5b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.663512   991 net.cpp:1137] Copying source layer inception_5b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.663516   991 net.cpp:1137] Copying source layer inception_5b/output Type:Concat #blobs=0
I0622 17:45:45.663520   991 net.cpp:1129] Ignoring source layer pool5/7x7_s1
I0622 17:45:45.663524   991 net.cpp:1129] Ignoring source layer pool5/drop_7x7_s1
I0622 17:45:45.663528   991 net.cpp:1129] Ignoring source layer loss3/classifier
I0622 17:45:45.663532   991 net.cpp:1129] Ignoring source layer loss3/loss3
I0622 17:45:45.688526   991 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /passenger_capacity_data/bvlc_googlenet.caffemodel
I0622 17:45:45.724644   991 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0622 17:45:45.724757   991 net.cpp:1129] Ignoring source layer data
I0622 17:45:45.724778   991 net.cpp:1129] Ignoring source layer label_data_1_split
I0622 17:45:45.724782   991 net.cpp:1137] Copying source layer conv1/7x7_s2 Type:Convolution #blobs=2
I0622 17:45:45.724854   991 net.cpp:1137] Copying source layer conv1/relu_7x7 Type:ReLU #blobs=0
I0622 17:45:45.724859   991 net.cpp:1137] Copying source layer pool1/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.724862   991 net.cpp:1137] Copying source layer pool1/norm1 Type:LRN #blobs=0
I0622 17:45:45.724866   991 net.cpp:1137] Copying source layer conv2/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.724900   991 net.cpp:1137] Copying source layer conv2/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.724905   991 net.cpp:1137] Copying source layer conv2/3x3 Type:Convolution #blobs=2
I0622 17:45:45.725603   991 net.cpp:1137] Copying source layer conv2/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.725608   991 net.cpp:1137] Copying source layer conv2/norm2 Type:LRN #blobs=0
I0622 17:45:45.725611   991 net.cpp:1137] Copying source layer pool2/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.725615   991 net.cpp:1137] Copying source layer pool2/3x3_s2_pool2/3x3_s2_0_split Type:Split #blobs=0
I0622 17:45:45.725620   991 net.cpp:1137] Copying source layer inception_3a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.725708   991 net.cpp:1137] Copying source layer inception_3a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.725711   991 net.cpp:1137] Copying source layer inception_3a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.725847   991 net.cpp:1137] Copying source layer inception_3a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.725852   991 net.cpp:1137] Copying source layer inception_3a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.726595   991 net.cpp:1137] Copying source layer inception_3a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.726600   991 net.cpp:1137] Copying source layer inception_3a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.726626   991 net.cpp:1137] Copying source layer inception_3a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.726630   991 net.cpp:1137] Copying source layer inception_3a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.726722   991 net.cpp:1137] Copying source layer inception_3a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.726725   991 net.cpp:1137] Copying source layer inception_3a/pool Type:Pooling #blobs=0
I0622 17:45:45.726729   991 net.cpp:1137] Copying source layer inception_3a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.726771   991 net.cpp:1137] Copying source layer inception_3a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.726775   991 net.cpp:1137] Copying source layer inception_3a/output Type:Concat #blobs=0
I0622 17:45:45.726779   991 net.cpp:1137] Copying source layer inception_3a/output_inception_3a/output_0_split Type:Split #blobs=0
I0622 17:45:45.726783   991 net.cpp:1137] Copying source layer inception_3b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.727008   991 net.cpp:1137] Copying source layer inception_3b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.727012   991 net.cpp:1137] Copying source layer inception_3b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.727237   991 net.cpp:1137] Copying source layer inception_3b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.727242   991 net.cpp:1137] Copying source layer inception_3b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.728723   991 net.cpp:1137] Copying source layer inception_3b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.728727   991 net.cpp:1137] Copying source layer inception_3b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.728787   991 net.cpp:1137] Copying source layer inception_3b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.728792   991 net.cpp:1137] Copying source layer inception_3b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.729264   991 net.cpp:1137] Copying source layer inception_3b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.729269   991 net.cpp:1137] Copying source layer inception_3b/pool Type:Pooling #blobs=0
I0622 17:45:45.729274   991 net.cpp:1137] Copying source layer inception_3b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.729384   991 net.cpp:1137] Copying source layer inception_3b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.729388   991 net.cpp:1137] Copying source layer inception_3b/output Type:Concat #blobs=0
I0622 17:45:45.729393   991 net.cpp:1137] Copying source layer pool3/3x3_s2 Type:Pooling #blobs=0
I0622 17:45:45.729395   991 net.cpp:1137] Copying source layer pool3/3x3_s2_pool3/3x3_s2_0_split Type:Split #blobs=0
I0622 17:45:45.729399   991 net.cpp:1137] Copying source layer inception_4a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.729961   991 net.cpp:1137] Copying source layer inception_4a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.729966   991 net.cpp:1137] Copying source layer inception_4a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.730280   991 net.cpp:1137] Copying source layer inception_4a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.730284   991 net.cpp:1137] Copying source layer inception_4a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.731411   991 net.cpp:1137] Copying source layer inception_4a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.731416   991 net.cpp:1137] Copying source layer inception_4a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.731467   991 net.cpp:1137] Copying source layer inception_4a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.731472   991 net.cpp:1137] Copying source layer inception_4a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.731606   991 net.cpp:1137] Copying source layer inception_4a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.731609   991 net.cpp:1137] Copying source layer inception_4a/pool Type:Pooling #blobs=0
I0622 17:45:45.731613   991 net.cpp:1137] Copying source layer inception_4a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.731824   991 net.cpp:1137] Copying source layer inception_4a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.731828   991 net.cpp:1137] Copying source layer inception_4a/output Type:Concat #blobs=0
I0622 17:45:45.731832   991 net.cpp:1137] Copying source layer inception_4a/output_inception_4a/output_0_split Type:Split #blobs=0
I0622 17:45:45.731837   991 net.cpp:1129] Ignoring source layer loss1/ave_pool
I0622 17:45:45.731840   991 net.cpp:1129] Ignoring source layer loss1/conv
I0622 17:45:45.731844   991 net.cpp:1129] Ignoring source layer loss1/relu_conv
I0622 17:45:45.731848   991 net.cpp:1129] Ignoring source layer loss1/fc
I0622 17:45:45.731850   991 net.cpp:1129] Ignoring source layer loss1/relu_fc
I0622 17:45:45.731854   991 net.cpp:1129] Ignoring source layer loss1/drop_fc
I0622 17:45:45.731859   991 net.cpp:1129] Ignoring source layer loss1/classifier
I0622 17:45:45.731863   991 net.cpp:1129] Ignoring source layer loss1/loss
I0622 17:45:45.731866   991 net.cpp:1137] Copying source layer inception_4b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.732419   991 net.cpp:1137] Copying source layer inception_4b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.732424   991 net.cpp:1137] Copying source layer inception_4b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.732776   991 net.cpp:1137] Copying source layer inception_4b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.732780   991 net.cpp:1137] Copying source layer inception_4b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.734179   991 net.cpp:1137] Copying source layer inception_4b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.734182   991 net.cpp:1137] Copying source layer inception_4b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.734272   991 net.cpp:1137] Copying source layer inception_4b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.734275   991 net.cpp:1137] Copying source layer inception_4b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.734539   991 net.cpp:1137] Copying source layer inception_4b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.734542   991 net.cpp:1137] Copying source layer inception_4b/pool Type:Pooling #blobs=0
I0622 17:45:45.734546   991 net.cpp:1137] Copying source layer inception_4b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.734771   991 net.cpp:1137] Copying source layer inception_4b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.734781   991 net.cpp:1137] Copying source layer inception_4b/output Type:Concat #blobs=0
I0622 17:45:45.734786   991 net.cpp:1137] Copying source layer inception_4b/output_inception_4b/output_0_split Type:Split #blobs=0
I0622 17:45:45.734788   991 net.cpp:1137] Copying source layer inception_4c/1x1 Type:Convolution #blobs=2
I0622 17:45:45.735234   991 net.cpp:1137] Copying source layer inception_4c/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.735239   991 net.cpp:1137] Copying source layer inception_4c/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.735682   991 net.cpp:1137] Copying source layer inception_4c/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.735687   991 net.cpp:1137] Copying source layer inception_4c/3x3 Type:Convolution #blobs=2
I0622 17:45:45.737607   991 net.cpp:1137] Copying source layer inception_4c/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.737612   991 net.cpp:1137] Copying source layer inception_4c/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.737690   991 net.cpp:1137] Copying source layer inception_4c/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.737695   991 net.cpp:1137] Copying source layer inception_4c/5x5 Type:Convolution #blobs=2
I0622 17:45:45.737957   991 net.cpp:1137] Copying source layer inception_4c/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.737962   991 net.cpp:1137] Copying source layer inception_4c/pool Type:Pooling #blobs=0
I0622 17:45:45.737967   991 net.cpp:1137] Copying source layer inception_4c/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.738190   991 net.cpp:1137] Copying source layer inception_4c/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.738195   991 net.cpp:1137] Copying source layer inception_4c/output Type:Concat #blobs=0
I0622 17:45:45.738199   991 net.cpp:1137] Copying source layer inception_4c/output_inception_4c/output_0_split Type:Split #blobs=0
I0622 17:45:45.738204   991 net.cpp:1137] Copying source layer inception_4d/1x1 Type:Convolution #blobs=2
I0622 17:45:45.738593   991 net.cpp:1137] Copying source layer inception_4d/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.738597   991 net.cpp:1137] Copying source layer inception_4d/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.739095   991 net.cpp:1137] Copying source layer inception_4d/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.739100   991 net.cpp:1137] Copying source layer inception_4d/3x3 Type:Convolution #blobs=2
I0622 17:45:45.741550   991 net.cpp:1137] Copying source layer inception_4d/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.741555   991 net.cpp:1137] Copying source layer inception_4d/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.741662   991 net.cpp:1137] Copying source layer inception_4d/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.741665   991 net.cpp:1137] Copying source layer inception_4d/5x5 Type:Convolution #blobs=2
I0622 17:45:45.742013   991 net.cpp:1137] Copying source layer inception_4d/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.742017   991 net.cpp:1137] Copying source layer inception_4d/pool Type:Pooling #blobs=0
I0622 17:45:45.742022   991 net.cpp:1137] Copying source layer inception_4d/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.742249   991 net.cpp:1137] Copying source layer inception_4d/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.742254   991 net.cpp:1137] Copying source layer inception_4d/output Type:Concat #blobs=0
I0622 17:45:45.742257   991 net.cpp:1137] Copying source layer inception_4d/output_inception_4d/output_0_split Type:Split #blobs=0
I0622 17:45:45.742261   991 net.cpp:1129] Ignoring source layer loss2/ave_pool
I0622 17:45:45.742265   991 net.cpp:1129] Ignoring source layer loss2/conv
I0622 17:45:45.742269   991 net.cpp:1129] Ignoring source layer loss2/relu_conv
I0622 17:45:45.742272   991 net.cpp:1129] Ignoring source layer loss2/fc
I0622 17:45:45.742275   991 net.cpp:1129] Ignoring source layer loss2/relu_fc
I0622 17:45:45.742280   991 net.cpp:1129] Ignoring source layer loss2/drop_fc
I0622 17:45:45.742283   991 net.cpp:1129] Ignoring source layer loss2/classifier
I0622 17:45:45.742292   991 net.cpp:1129] Ignoring source layer loss2/loss
I0622 17:45:45.742296   991 net.cpp:1137] Copying source layer inception_4e/1x1 Type:Convolution #blobs=2
I0622 17:45:45.743206   991 net.cpp:1137] Copying source layer inception_4e/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.743211   991 net.cpp:1137] Copying source layer inception_4e/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.743780   991 net.cpp:1137] Copying source layer inception_4e/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.743785   991 net.cpp:1137] Copying source layer inception_4e/3x3 Type:Convolution #blobs=2
I0622 17:45:45.746696   991 net.cpp:1137] Copying source layer inception_4e/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.746701   991 net.cpp:1137] Copying source layer inception_4e/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.746819   991 net.cpp:1137] Copying source layer inception_4e/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.746824   991 net.cpp:1137] Copying source layer inception_4e/5x5 Type:Convolution #blobs=2
I0622 17:45:45.747514   991 net.cpp:1137] Copying source layer inception_4e/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.747519   991 net.cpp:1137] Copying source layer inception_4e/pool Type:Pooling #blobs=0
I0622 17:45:45.747522   991 net.cpp:1137] Copying source layer inception_4e/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.747980   991 net.cpp:1137] Copying source layer inception_4e/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.747984   991 net.cpp:1137] Copying source layer inception_4e/output Type:Concat #blobs=0
I0622 17:45:45.747988   991 net.cpp:1129] Ignoring source layer pool4/3x3_s2
I0622 17:45:45.747992   991 net.cpp:1129] Ignoring source layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0622 17:45:45.747997   991 net.cpp:1137] Copying source layer inception_5a/1x1 Type:Convolution #blobs=2
I0622 17:45:45.749392   991 net.cpp:1137] Copying source layer inception_5a/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.749397   991 net.cpp:1137] Copying source layer inception_5a/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.750293   991 net.cpp:1137] Copying source layer inception_5a/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.750298   991 net.cpp:1137] Copying source layer inception_5a/3x3 Type:Convolution #blobs=2
I0622 17:45:45.753129   991 net.cpp:1137] Copying source layer inception_5a/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.753134   991 net.cpp:1137] Copying source layer inception_5a/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.753317   991 net.cpp:1137] Copying source layer inception_5a/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.753322   991 net.cpp:1137] Copying source layer inception_5a/5x5 Type:Convolution #blobs=2
I0622 17:45:45.754014   991 net.cpp:1137] Copying source layer inception_5a/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.754017   991 net.cpp:1137] Copying source layer inception_5a/pool Type:Pooling #blobs=0
I0622 17:45:45.754021   991 net.cpp:1137] Copying source layer inception_5a/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.754739   991 net.cpp:1137] Copying source layer inception_5a/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.754742   991 net.cpp:1137] Copying source layer inception_5a/output Type:Concat #blobs=0
I0622 17:45:45.754746   991 net.cpp:1137] Copying source layer inception_5a/output_inception_5a/output_0_split Type:Split #blobs=0
I0622 17:45:45.754750   991 net.cpp:1137] Copying source layer inception_5b/1x1 Type:Convolution #blobs=2
I0622 17:45:45.756889   991 net.cpp:1137] Copying source layer inception_5b/relu_1x1 Type:ReLU #blobs=0
I0622 17:45:45.756894   991 net.cpp:1137] Copying source layer inception_5b/3x3_reduce Type:Convolution #blobs=2
I0622 17:45:45.757882   991 net.cpp:1137] Copying source layer inception_5b/relu_3x3_reduce Type:ReLU #blobs=0
I0622 17:45:45.757887   991 net.cpp:1137] Copying source layer inception_5b/3x3 Type:Convolution #blobs=2
I0622 17:45:45.762204   991 net.cpp:1137] Copying source layer inception_5b/relu_3x3 Type:ReLU #blobs=0
I0622 17:45:45.762209   991 net.cpp:1137] Copying source layer inception_5b/5x5_reduce Type:Convolution #blobs=2
I0622 17:45:45.762490   991 net.cpp:1137] Copying source layer inception_5b/relu_5x5_reduce Type:ReLU #blobs=0
I0622 17:45:45.762493   991 net.cpp:1137] Copying source layer inception_5b/5x5 Type:Convolution #blobs=2
I0622 17:45:45.763523   991 net.cpp:1137] Copying source layer inception_5b/relu_5x5 Type:ReLU #blobs=0
I0622 17:45:45.763528   991 net.cpp:1137] Copying source layer inception_5b/pool Type:Pooling #blobs=0
I0622 17:45:45.763532   991 net.cpp:1137] Copying source layer inception_5b/pool_proj Type:Convolution #blobs=2
I0622 17:45:45.764248   991 net.cpp:1137] Copying source layer inception_5b/relu_pool_proj Type:ReLU #blobs=0
I0622 17:45:45.764253   991 net.cpp:1137] Copying source layer inception_5b/output Type:Concat #blobs=0
I0622 17:45:45.764257   991 net.cpp:1129] Ignoring source layer pool5/7x7_s1
I0622 17:45:45.764261   991 net.cpp:1129] Ignoring source layer pool5/drop_7x7_s1
I0622 17:45:45.764266   991 net.cpp:1129] Ignoring source layer loss3/classifier
I0622 17:45:45.764268   991 net.cpp:1129] Ignoring source layer loss3/loss3
I0622 17:45:45.769881   991 parallel.cpp:100] [0 - 0] P2pSync adding callback
I0622 17:45:45.769891   991 parallel.cpp:100] [1 - 1] P2pSync adding callback
I0622 17:45:45.769894   991 parallel.cpp:55] Starting Optimization
I0622 17:45:45.769898   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:45.770192   991 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.771574  1019 common.cpp:528] NVML initialized, thread 1019
Unexpected end of /proc/mounts line `overlay / overlay rw,relatime,lowerdir=/var/lib/docker/overlay2/l/SKGHVNPAWZWKLGJ4IZ4SAXVN2X:/var/lib/docker/overlay2/l/7PPOYPXSL2ZQBUTUX5TMUN3WRE:/var/lib/docker/overlay2/l/PWJHFZYGPQB6V7XNUHDNN7I7U2:/var/lib/docker/overlay2/l/BNXIRUMA24MLYMKIVBZRLB5AJL:/var/lib/docker/overlay2/l/VW4BDYKNDDMOR5BSZI7Z2VYRZ7:/var/lib/docker/overlay2/l/QNEXHCBCUBN6GMSC6L632P7ZTQ:/var/lib/docker/overlay2/l/U7T5Q2EH3RZHN56D2LVAPZAQXM:/var/lib/docker/overlay2/l/QFJWSGI3SCS3IPFNMDN4JZ2DRG:/var/lib/docker/overlay2/l/ASAOGWDWCP7K4'
Unexpected end of /proc/mounts line `GUJX5OZFVCMYZ:/var/lib/docker/overlay2/l/CRMVKNJWQQTR2EKEHMUF7RZEOE:/var/lib/docker/overlay2/l/KE6HCCOOOJMI6MN2P4BQ6LIXCD:/var/lib/docker/overlay2/l/JSVLPDLX42YXE43J4MF4QDSHAA:/var/lib/docker/overlay2/l/XAXJSDMXY33HZAM7LG2E3FZEQ6:/var/lib/docker/overlay2/l/B7VXRK6IPD3JID2TRJCIKZHZYJ:/var/lib/docker/overlay2/l/AL2L3RWHUWPKNIPLEHL2T5V6YF:/var/lib/docker/overlay2/l/5OULJWDOUCXSEZJWLLKM5ZVPZA:/var/lib/docker/overlay2/l/SEFBLLF7L36BB36DUFMAI2EGDL:/var/lib/docker/overlay2/l/7TKR6EA54OBO3HRERJIYHZPN4M:/var/lib/do'
Unexpected end of /proc/mounts line `cker/overlay2/l/JP72FYT6BY77C3YH6BXAS54XVZ:/var/lib/docker/overlay2/l/5KESIGXHJK2LQGHF3EQD3OS7PD:/var/lib/docker/overlay2/l/72VECH25DVN5OKOIJVQNATAJ4T:/var/lib/docker/overlay2/l/QKIKVKVIJFDJMDWJDN27DFRF5F:/var/lib/docker/overlay2/l/QLBOUFCAEPBTWYIP4BR3GWSGCY:/var/lib/docker/overlay2/l/MIQ5FP5YY5F2O7Z4YRLSJBKPIU:/var/lib/docker/overlay2/l/G3WLXNOYZOB4B7Y5DTIKL7424C:/var/lib/docker/overlay2/l/EFLCZNT3IOPXI4YWJWAYJIV2WL:/var/lib/docker/overlay2/l/ZTJ3ND3LTZTR6MQ7YWXXFAK3JE:/var/lib/docker/overlay2/l/DPPGA3GRL'
Unexpected end of /proc/mounts line `JP5N5MG263YOTDVMU:/var/lib/docker/overlay2/l/WL2WXHM4JYMPYUJHB4WQWEXZPD:/var/lib/docker/overlay2/l/BOCPZ26KNZQA5FR47CZ3LSCRN4:/var/lib/docker/overlay2/l/LTLQOJEG7FGFXCXNFOEKVPSO7Y:/var/lib/docker/overlay2/l/7M2MZEHQDRHHLFNTSS7B6VQNJ4:/var/lib/docker/overlay2/l/OL4ACJKWG4SYNBO5AHLAFQLB2B:/var/lib/docker/overlay2/l/PED3NRPDOUJNIXCPI5BHICQBO6:/var/lib/docker/overlay2/l/YWUC6ABOMEL5HHSRQDOTW2XCDI:/var/lib/docker/overlay2/l/YRBWHQHU7KBEDARYVXVMP5K4ZE:/var/lib/docker/overlay2/l/2PKWYAU2MQ65EMEAL575VDSAQM:/var/li'
Unexpected end of /proc/mounts line `b/docker/overlay2/l/S2GOPXBQDWAJXXQMQ6GVRGY2QA:/var/lib/docker/overlay2/l/EDVXNO5NRWLPYXDIAHV5RMPYBN:/var/lib/docker/overlay2/l/V65VR3VPTL4VHBTGE4A45Z5RW2:/var/lib/docker/overlay2/l/E2WTBJIWLBCPADM423CXT3VIIA:/var/lib/docker/overlay2/l/PJWECMUKVETEJOGO2Z77VH46LO:/var/lib/docker/overlay2/l/XG77JYPUD3O3YELAPPJB7IABFG:/var/lib/docker/overlay2/l/KJDDXQSZ3AOFFAA2HLDD5ZVMFW:/var/lib/docker/overlay2/l/5QWIMT5MYDJTM3YJZUAWEKKAK5:/var/lib/docker/overlay2/l/2F4CP7A3XZBRLH5ZLR4PIKIINB:/var/lib/docker/overlay2/l/MNHKP'
Unexpected end of /proc/mounts line `M5HNQCEOKCBQJW6X4P6AX:/var/lib/docker/overlay2/l/P4EEJCEZG3FMXDG7UOCDR4IAMY:/var/lib/docker/overlay2/l/O2PYKARYFBDAN52ENH5PQ5NZZH:/var/lib/docker/overlay2/l/QU52NF7TND3ZB3UH3YI7DK2GYE:/var/lib/docker/overlay2/l/LGQBHAS7YGDLYY6LRWOTZNDWN4:/var/lib/docker/overlay2/l/3GUKCEKPEMPA7WUFRS56VJMXNB:/var/lib/docker/overlay2/l/TPS6TDNAUY7DDPXC3BOIVF4DPM:/var/lib/docker/overlay2/l/6KP53VBRC3WHAFIGJOJPZXFLEM:/var/lib/docker/overlay2/l/7WBB7G5FCUYHXUCMXBMUUGSY7P,upperdir=/var/lib/docker/overlay2/d22ee49ce3acbc49ec17f14'
I0622 17:45:45.802542  1019 common.cpp:550] NVML succeeded to set CPU affinity on device 0, thread 1019
I0622 17:45:45.808002  1020 common.cpp:550] NVML succeeded to set CPU affinity on device 1, thread 1020
I0622 17:45:45.808030  1020 solver.cpp:40] Solver data type: FLOAT
I0622 17:45:45.809777  1020 net.cpp:109] Using FLOAT as default forward math type
I0622 17:45:45.809784  1020 net.cpp:115] Using FLOAT as default backward math type
I0622 17:45:45.809842  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.809900  1020 data_reader.cpp:58] Sample Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:45.809927  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.810672  1022 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:45.821200  1020 data_layer.cpp:199] [1] Output data size: 3, 3, 384, 1248
I0622 17:45:45.821238  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.821321  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.821789  1020 data_reader.cpp:58] Sample Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:45.822219  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:45.822676  1025 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:45.822849  1020 data_layer.cpp:199] [1] Output data size: 3, 1, 20, 16
I0622 17:45:45.822876  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.306854  1020 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I0622 17:45:46.307530  1020 net.cpp:109] Using FLOAT as default forward math type
I0622 17:45:46.307536  1020 net.cpp:115] Using FLOAT as default backward math type
I0622 17:45:46.307560  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.307621  1020 data_reader.cpp:58] Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:46.307631  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.308483  1028 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/val_db/features
I0622 17:45:46.316562  1020 data_layer.cpp:199] (1) Output data size: 3, 3, 384, 1248
I0622 17:45:46.316594  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.316669  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.317066  1029 data_layer.cpp:105] (1) Parser threads: 1
I0622 17:45:46.317076  1029 data_layer.cpp:107] (1) Transformer threads: 1
I0622 17:45:46.317833  1020 data_reader.cpp:58] Data Reader threads: 1, out queues: 1, depth: 3
I0622 17:45:46.317845  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.318253  1031 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/val_db/labels
I0622 17:45:46.318423  1020 data_layer.cpp:199] (1) Output data size: 3, 1, 21, 16
I0622 17:45:46.318445  1020 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.318878  1032 data_layer.cpp:105] (1) Parser threads: 1
I0622 17:45:46.318887  1032 data_layer.cpp:107] (1) Transformer threads: 1
I0622 17:45:46.414933  1020 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I0622 17:45:46.415117  1020 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I0622 17:45:46.415247  1020 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I0622 17:45:46.415371  1020 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I0622 17:45:46.416338  1020 solver.cpp:54] Solver scaffolding done.
I0622 17:45:46.494431  1020 parallel.cpp:132] [1 - 1] P2pSync adding callback
I0622 17:45:46.494431  1019 parallel.cpp:132] [0 - 0] P2pSync adding callback
I0622 17:45:46.494454  1020 solver.cpp:433] Solving
I0622 17:45:46.494457  1019 solver.cpp:433] Solving
I0622 17:45:46.494458  1020 solver.cpp:434] Learning Rate Policy: step
I0622 17:45:46.494462  1019 solver.cpp:434] Learning Rate Policy: step
I0622 17:45:46.494503  1020 net.cpp:1408] [1] Reserving 23918336 bytes of shared learnable space for type FLOAT
I0622 17:45:46.494592  1019 net.cpp:1408] [0] Reserving 23918336 bytes of shared learnable space for type FLOAT
I0622 17:45:46.514782  1019 solver.cpp:227] Starting Optimization on GPU 0
I0622 17:45:46.514786  1020 solver.cpp:227] Starting Optimization on GPU 1
I0622 17:45:46.514842  1020 net.cpp:1064] Ignoring source layer train_data
I0622 17:45:46.514847  1020 net.cpp:1064] Ignoring source layer train_label
I0622 17:45:46.514850  1020 net.cpp:1064] Ignoring source layer train_transform
I0622 17:45:46.514858  1019 solver.cpp:267] [MultiGPU] Initial Test started...
I0622 17:45:46.514884  1019 solver.cpp:516] Iteration 0, Testing net (#0)
I0622 17:45:46.514889  1019 net.cpp:1064] Ignoring source layer train_data
I0622 17:45:46.514894  1019 net.cpp:1064] Ignoring source layer train_label
I0622 17:45:46.514897  1019 net.cpp:1064] Ignoring source layer train_transform
I0622 17:45:46.514901  1033 common.cpp:550] NVML succeeded to set CPU affinity on device 1, thread 1033
I0622 17:45:46.514983  1034 common.cpp:550] NVML succeeded to set CPU affinity on device 0, thread 1034
I0622 17:45:46.713551  1019 solver.cpp:602]     Test net output #0: loss_bbox = 14.9384 (* 2 = 29.8768 loss)
I0622 17:45:46.713572  1019 solver.cpp:602]     Test net output #1: loss_coverage = 143.358 (* 1 = 143.358 loss)
I0622 17:45:46.713579  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:45:46.713585  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:45:46.713591  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:45:46.713613  1019 solver.cpp:272] [MultiGPU] Initial Test completed in 0.198723s
I0622 17:45:46.714998  1009 internal_thread.cpp:40] Restarting 4 internal thread(s) on device 0
I0622 17:45:46.715678  1006 internal_thread.cpp:40] Restarting 4 internal thread(s) on device 0
I0622 17:45:46.716354  1026 internal_thread.cpp:40] Restarting 4 internal thread(s) on device 1
I0622 17:45:46.716377  1023 internal_thread.cpp:40] Restarting 4 internal thread(s) on device 1
I0622 17:45:46.716382  1009 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:46.716399  1006 internal_thread.cpp:19] Starting 1 internal thread(s) on device 0
I0622 17:45:46.716929  1009 data_reader.cpp:58] Data Reader threads: 3, out queues: 12, depth: 3
I0622 17:45:46.716949  1044 common.cpp:550] NVML succeeded to set CPU affinity on device 0, thread 1044
I0622 17:45:46.717303  1048 common.cpp:550] NVML succeeded to set CPU affinity on device 0, thread 1048
I0622 17:45:46.717310  1026 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.717335  1023 internal_thread.cpp:19] Starting 1 internal thread(s) on device 1
I0622 17:45:46.717695  1009 internal_thread.cpp:19] Starting 3 internal thread(s) on device 0
I0622 17:45:46.717720  1026 data_reader.cpp:58] Data Reader threads: 3, out queues: 12, depth: 3
I0622 17:45:46.717720  1053 common.cpp:550] NVML succeeded to set CPU affinity on device 1, thread 1053
I0622 17:45:46.717746  1006 data_reader.cpp:58] Data Reader threads: 3, out queues: 12, depth: 3
I0622 17:45:46.717758  1026 internal_thread.cpp:19] Starting 3 internal thread(s) on device 1
I0622 17:45:46.718222  1054 common.cpp:550] NVML succeeded to set CPU affinity on device 1, thread 1054
I0622 17:45:46.718564  1055 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.718947  1056 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.718961  1006 internal_thread.cpp:19] Starting 3 internal thread(s) on device 0
I0622 17:45:46.719424  1057 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.719810  1058 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.719848  1009 data_layer.cpp:199] [0] Output data size: 3, 1, 20, 16
I0622 17:45:46.719871  1009 data_layer.cpp:105] [0] Parser threads: 3 (auto)
I0622 17:45:46.719878  1009 data_layer.cpp:107] [0] Transformer threads: 4 (auto)
I0622 17:45:46.720078  1026 data_layer.cpp:199] [1] Output data size: 3, 1, 20, 16
I0622 17:45:46.720103  1026 data_layer.cpp:105] [1] Parser threads: 3 (auto)
I0622 17:45:46.720108  1026 data_layer.cpp:107] [1] Transformer threads: 4 (auto)
I0622 17:45:46.720240  1059 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.720911  1060 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/labels
I0622 17:45:46.721318  1061 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.721639  1062 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.722007  1063 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.725234  1023 data_reader.cpp:58] Data Reader threads: 3, out queues: 12, depth: 3
I0622 17:45:46.725261  1023 internal_thread.cpp:19] Starting 3 internal thread(s) on device 1
I0622 17:45:46.725682  1064 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.726033  1065 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.726483  1066 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20180622-011243-a09d/train_db/features
I0622 17:45:46.728190  1006 data_layer.cpp:199] [0] Output data size: 3, 3, 384, 1248
I0622 17:45:46.728216  1006 data_layer.cpp:105] [0] Parser threads: 3 (auto)
I0622 17:45:46.728222  1006 data_layer.cpp:107] [0] Transformer threads: 4 (auto)
I0622 17:45:46.734411  1023 data_layer.cpp:199] [1] Output data size: 3, 3, 384, 1248
I0622 17:45:46.734463  1023 data_layer.cpp:105] [1] Parser threads: 3 (auto)
I0622 17:45:46.734472  1023 data_layer.cpp:107] [1] Transformer threads: 4 (auto)
I0622 17:45:47.175469  1019 solver.cpp:356] Iteration 0 (0.461825 s), loss = 301.377
I0622 17:45:47.175496  1019 solver.cpp:374]     Train net output #0: loss_bbox = 56.0151 (* 2 = 112.03 loss)
I0622 17:45:47.175505  1019 solver.cpp:374]     Train net output #1: loss_coverage = 189.347 (* 1 = 189.347 loss)
I0622 17:45:47.175513  1019 sgd_solver.cpp:170] Iteration 0, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:45:47.314960  1019 solver.cpp:356] Iteration 1 (0.139486 s), loss = 41.6911
I0622 17:45:47.314992  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.66974 (* 2 = 11.3395 loss)
I0622 17:45:47.315001  1019 solver.cpp:374]     Train net output #1: loss_coverage = 30.3516 (* 1 = 30.3516 loss)
I0622 17:45:47.386947  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 0.72M 3/1 1 1 0 	(avail 4.2G, req 0.72M)	t: 0 0 2.49
I0622 17:45:47.387315  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 0.72M 3/1 1 1 3 	(avail 1.97G, req 0.72M)	t: 0 0 2.75
I0622 17:45:47.550810  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 0.72M 64/1 1 1 3 	(avail 1.97G, req 0.72M)	t: 0 0.31 1.24
I0622 17:45:47.609302  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 0.72M 64/1 1 1 3 	(avail 4.2G, req 0.72M)	t: 0 0.43 1.27
I0622 17:45:47.887708  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.21G 64/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 1.66 3.46
I0622 17:45:48.078620  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.21G 64/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 1.61 3.5
I0622 17:45:48.079524  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.21G 192/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.2 0.67
I0622 17:45:48.307989  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.21G 192/1 0 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.38 0.83
I0622 17:45:48.308931  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.21G 192/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.25 0.67
I0622 17:45:48.547292  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.21G 192/1 0 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.29 0.72
I0622 17:45:48.548305  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.21G 96/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.47 0.62
I0622 17:45:48.819736  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.21G 96/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.46 0.64
I0622 17:45:48.820590  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.21G 192/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.2 0.53
I0622 17:45:49.012245  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.21G 16/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.27 0.27
I0622 17:45:49.195796  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.21G 192/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.18 0.55
I0622 17:45:49.196612  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.21G 192/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.15 0.45
I0622 17:45:49.423506  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.21G 256/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.33 0.89
I0622 17:45:49.423866  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.21G 16/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.26 0.23
I0622 17:45:49.562621  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.21G 256/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.27 0.82
I0622 17:45:49.783241  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.21G 128/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.75 0.93
I0622 17:45:49.970715  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.21G 192/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.15 0.5
I0622 17:45:49.971072  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.21G 256/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.18 0.71
I0622 17:45:50.137348  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.21G 256/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.3 0.84
I0622 17:45:50.337236  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.21G 256/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.33 0.86
I0622 17:45:50.410048  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.21G 32/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.63 0.88
I0622 17:45:50.515182  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.21G 256/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.29 0.87
I0622 17:45:50.710546  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.21G 128/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.74 1
I0622 17:45:50.711318  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.21G 480/1 1 1 1 	(avail 1.76G, req 0.21G)	t: 0 0.28 0.53
I0622 17:45:50.814330  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.21G 480/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.16 0.38
I0622 17:45:50.915804  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.21G 256/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.19 0.68
I0622 17:45:51.031321  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.21G 96/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.21 0.29
I0622 17:45:51.384181  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.21G 32/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.62 1.04
I0622 17:45:51.385205  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.21G 480/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.13 0.35
I0622 17:45:51.568953  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.21G 256/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.27 0.8
I0622 17:45:51.569974  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.21G 16/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.22 0.13
I0622 17:45:51.788391  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.21G 480/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.12 0.33
I0622 17:45:51.788575  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.21G 480/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.22 0.43
I0622 17:45:51.988116  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.21G 512/1 1 1 1 	(avail 1.76G, req 0.21G)	t: 0 0.17 0.42
I0622 17:45:51.988456  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.21G 480/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.15 0.34
I0622 17:45:52.103032  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.14 0.32
I0622 17:45:52.227385  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.21G 112/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.24 0.31
I0622 17:45:52.383342  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.21G 96/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.18 0.29
I0622 17:45:52.547257  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.1 0.3
I0622 17:45:52.741238  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.21G 480/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.15 0.31
I0622 17:45:52.742604  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.21G 24/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.27 0.23
I0622 17:45:52.904320  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.21G 16/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.15 0.16
I0622 17:45:52.905532  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.15 0.39
I0622 17:45:53.035758  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.19 0.37
I0622 17:45:53.187057  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.16 0.33
I0622 17:45:53.399222  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.21G 128/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.3 0.35
I0622 17:45:53.400260  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.21G 480/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.13 0.31
I0622 17:45:53.599498  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.21G 512/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.25 0.48
I0622 17:45:53.698854  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.21G 512/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.18 0.37
I0622 17:45:53.807425  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.18 0.33
I0622 17:45:53.959184  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.21G 24/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.21 0.2
I0622 17:45:54.063976  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.15 0.43
I0622 17:45:54.229276  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.14 0.32
I0622 17:45:54.337574  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.21G 112/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.23 0.31
I0622 17:45:54.438199  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.23 0.56
I0622 17:45:54.595295  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.21G 144/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.35 0.5
I0622 17:45:54.770879  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.21G 512/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.11 0.32
I0622 17:45:54.772585  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.21G 512/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.21 0.34
I0622 17:45:54.909198  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.21G 32/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.25 0.27
I0622 17:45:55.025369  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.21G 24/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.21 0.18
I0622 17:45:55.217212  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.15 0.4
I0622 17:45:55.218466  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.16 0.36
I0622 17:45:55.439218  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.21G 528/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.37 0.57
I0622 17:45:55.440301  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.23 0.37
I0622 17:45:55.667394  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.21G 528/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.28 0.52
I0622 17:45:55.668850  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.23 0.37
I0622 17:45:55.900760  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.21G 128/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.27 0.34
I0622 17:45:55.901525  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.21G 160/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.39 0.54
I0622 17:45:56.008360  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.21G 528/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.14 0.33
I0622 17:45:56.223697  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.21G 32/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.33 0.33
I0622 17:45:56.224731  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.12 0.31
I0622 17:45:56.466131  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.21G 528/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.25 0.43
I0622 17:45:56.468139  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.21G 24/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.23 0.2
I0622 17:45:56.694407  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.21G 832/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.46 0.84
I0622 17:45:56.695066  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.18 0.4
I0622 17:45:56.908618  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.17 0.31
I0622 17:45:56.909389  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.21G 832/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.32 0.72
I0622 17:45:57.111681  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.21G 512/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.2 0.43
I0622 17:45:57.112294  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.21G 160/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.39 0.54
I0622 17:45:57.330107  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.21G 832/1 1 1 1 	(avail 1.76G, req 0.21G)	t: 0 0.15 0.48
I0622 17:45:57.331007  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.21G 144/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.36 0.5
I0622 17:45:57.501794  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.21G 32/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.36 0.27
I0622 17:45:57.642694  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.21G 832/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.24 0.52
I0622 17:45:57.838670  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.1 0.29
I0622 17:45:57.839138  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.21G 832/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.62 1
I0622 17:45:57.948123  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.21G 832/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.33 0.72
I0622 17:45:58.048691  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.21G 32/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.19 0.23
I0622 17:45:58.257050  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.21G 512/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.14 0.35
I0622 17:45:58.258253  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.21G 192/1 6 4 5 	(avail 1.76G, req 0.21G)	t: 0 0.52 0.63
I0622 17:45:58.492911  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.21G 528/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.32 0.52
I0622 17:45:58.493578  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.21G 832/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.22 0.53
I0622 17:45:58.709357  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.21G 528/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.25 0.46
I0622 17:45:58.710316  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.21G 48/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.52 0.37
I0622 17:45:58.918391  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.21G 832/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.3 0.55
I0622 17:45:58.918978  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.21G 160/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.39 0.55
I0622 17:45:59.207290  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.21G 1024/1 1 1 3 	(avail 1.76G, req 0.21G)	t: 0 0.15 0.59
I0622 17:45:59.362042  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.21G 528/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.19 0.33
I0622 17:45:59.475327  1019 cudnn_conv_layer.cpp:849] [0] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.21G 1024/1 1 1 0 	(avail 1.76G, req 0.21G)	t: 0 0.16 0.62
I0622 17:45:59.591493  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.21G 32/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.45 0.32
I0622 17:45:59.730993  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.21G 528/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.2 0.33
I0622 17:45:59.891352  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.21G 832/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.46 0.76
I0622 17:46:00.051404  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.21G 832/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.31 0.67
I0622 17:46:00.247503  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.21G 160/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.4 0.55
I0622 17:46:00.819394  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.21G 832/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.21 0.53
I0622 17:46:01.038497  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.21G 32/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.37 0.32
I0622 17:46:01.196331  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.21G 832/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.27 0.52
I0622 17:46:01.367676  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.21G 832/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.56 1.01
I0622 17:46:01.536494  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.21G 832/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.38 0.74
I0622 17:46:01.749300  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.21G 192/1 6 4 5 	(avail 3.99G, req 0.21G)	t: 0 0.54 0.67
I0622 17:46:01.888165  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.21G 832/1 1 1 1 	(avail 3.99G, req 0.21G)	t: 0 0.17 0.47
I0622 17:46:02.121215  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.21G 48/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.49 0.36
I0622 17:46:02.267572  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.21G 832/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.29 0.53
I0622 17:46:02.620811  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.21G 1024/1 1 1 0 	(avail 3.99G, req 0.21G)	t: 0 0.2 0.6
I0622 17:46:02.915232  1020 cudnn_conv_layer.cpp:849] [1] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.21G 1024/1 1 1 3 	(avail 3.99G, req 0.21G)	t: 0 0.16 0.55
I0622 17:46:02.997737  1019 solver.cpp:356] Iteration 2 (15.6827 s), loss = 53.9587
I0622 17:46:02.997776  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.0594 (* 2 = 42.1188 loss)
I0622 17:46:02.997784  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.84 (* 1 = 11.84 loss)
I0622 17:46:03.825850  1019 solver.cpp:350] Iteration 9 (8.45304 iter/s, 0.828105s/7 iter), loss = 53.0245
I0622 17:46:03.825871  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.5897 (* 2 = 41.1794 loss)
I0622 17:46:03.825881  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.8451 (* 1 = 11.8451 loss)
I0622 17:46:03.825887  1019 sgd_solver.cpp:170] Iteration 9, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:04.891662  1019 solver.cpp:350] Iteration 18 (8.44434 iter/s, 1.0658s/9 iter), loss = 80.8336
I0622 17:46:04.891690  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.0822 (* 2 = 60.1643 loss)
I0622 17:46:04.891698  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.6692 (* 1 = 20.6692 loss)
I0622 17:46:04.891705  1019 sgd_solver.cpp:170] Iteration 18, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:05.958520  1019 solver.cpp:350] Iteration 27 (8.43605 iter/s, 1.06685s/9 iter), loss = 1.52588e-05
I0622 17:46:05.958545  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:46:05.958556  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.69529e-06 (* 1 = 1.69529e-06 loss)
I0622 17:46:05.958565  1019 sgd_solver.cpp:170] Iteration 27, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:07.022814  1019 solver.cpp:350] Iteration 36 (8.45641 iter/s, 1.06428s/9 iter), loss = 15.9067
I0622 17:46:07.022836  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.45322 (* 2 = 10.9064 loss)
I0622 17:46:07.022845  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.0003 (* 1 = 5.0003 loss)
I0622 17:46:07.022853  1019 sgd_solver.cpp:170] Iteration 36, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:07.730628  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:07.775269  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:08.083433  1019 solver.cpp:350] Iteration 45 (8.48571 iter/s, 1.06061s/9 iter), 0.6/101.2ep, loss = 23.963
I0622 17:46:08.083456  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.64795 (* 2 = 15.2959 loss)
I0622 17:46:08.083467  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.66713 (* 1 = 8.66713 loss)
I0622 17:46:08.083477  1019 sgd_solver.cpp:170] Iteration 45, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:09.146147  1019 solver.cpp:350] Iteration 54 (8.46895 iter/s, 1.06271s/9 iter), 0.7/101.2ep, loss = 14.5786
I0622 17:46:09.146167  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.9559 (* 2 = 11.9118 loss)
I0622 17:46:09.146174  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.6668 (* 1 = 2.6668 loss)
I0622 17:46:09.146181  1019 sgd_solver.cpp:170] Iteration 54, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:10.215977  1019 solver.cpp:350] Iteration 63 (8.41261 iter/s, 1.06982s/9 iter), 0.9/101.2ep, loss = 23.6599
I0622 17:46:10.215996  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.07995 (* 2 = 14.1599 loss)
I0622 17:46:10.216003  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.50001 (* 1 = 9.50001 loss)
I0622 17:46:10.216011  1019 sgd_solver.cpp:170] Iteration 63, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:11.288228  1019 solver.cpp:350] Iteration 72 (8.39367 iter/s, 1.07224s/9 iter), 1/101.2ep, loss = 22.6686
I0622 17:46:11.288246  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.75095 (* 2 = 13.5019 loss)
I0622 17:46:11.288254  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.16674 (* 1 = 9.16674 loss)
I0622 17:46:11.288264  1019 sgd_solver.cpp:170] Iteration 72, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:11.288282  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_73.caffemodel
I0622 17:46:11.358429  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_73.solverstate
I0622 17:46:11.379392  1019 solver.cpp:516] Iteration 73, Testing net (#0)
I0622 17:46:11.379587  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:11.410610  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:11.552510  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:11.582406  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:11.595113  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.3406 (* 2 = 36.6812 loss)
I0622 17:46:11.595130  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8667 (* 1 = 17.8667 loss)
I0622 17:46:11.595137  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:11.595144  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:11.595149  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:11.595171  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.306951s
I0622 17:46:12.673259  1019 solver.cpp:350] Iteration 81 (29.3207 iter/s, 0.306951s/9 iter), 1.1/101.2ep, loss = 16.7034
I0622 17:46:12.673281  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.76836 (* 2 = 11.5367 loss)
I0622 17:46:12.673292  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.1667 (* 1 = 5.1667 loss)
I0622 17:46:12.673302  1019 sgd_solver.cpp:170] Iteration 81, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:13.746927  1019 solver.cpp:350] Iteration 90 (8.3826 iter/s, 1.07365s/9 iter), 1.2/101.2ep, loss = 53.6684
I0622 17:46:13.746949  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.7469 (* 2 = 39.4938 loss)
I0622 17:46:13.746961  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1746 (* 1 = 14.1746 loss)
I0622 17:46:13.746970  1019 sgd_solver.cpp:170] Iteration 90, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:14.814039  1019 solver.cpp:350] Iteration 99 (8.43407 iter/s, 1.0671s/9 iter), 1.4/101.2ep, loss = 30.5609
I0622 17:46:14.814249  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.947 (* 2 = 25.8939 loss)
I0622 17:46:14.814258  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.66698 (* 1 = 4.66698 loss)
I0622 17:46:14.814266  1019 sgd_solver.cpp:170] Iteration 99, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:15.876953  1019 solver.cpp:350] Iteration 108 (8.46737 iter/s, 1.0629s/9 iter), 1.5/101.2ep, loss = 37.7969
I0622 17:46:15.876972  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.2316 (* 2 = 28.4632 loss)
I0622 17:46:15.876981  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.33365 (* 1 = 9.33365 loss)
I0622 17:46:15.876991  1019 sgd_solver.cpp:170] Iteration 108, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:16.936259  1019 solver.cpp:350] Iteration 117 (8.49619 iter/s, 1.0593s/9 iter), 1.6/101.2ep, loss = 1160.09
I0622 17:46:16.936278  1019 solver.cpp:374]     Train net output #0: loss_bbox = 575.027 (* 2 = 1150.05 loss)
I0622 17:46:16.936286  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.0373 (* 1 = 10.0373 loss)
I0622 17:46:16.936296  1019 sgd_solver.cpp:170] Iteration 117, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:16.936421  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:16.956881  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:17.995342  1019 solver.cpp:350] Iteration 126 (8.49794 iter/s, 1.05908s/9 iter), 1.7/101.2ep, loss = 19.8818
I0622 17:46:17.995363  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.18892 (* 2 = 14.3778 loss)
I0622 17:46:17.995373  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50395 (* 1 = 5.50395 loss)
I0622 17:46:17.995381  1019 sgd_solver.cpp:170] Iteration 126, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:19.054924  1019 solver.cpp:350] Iteration 135 (8.49404 iter/s, 1.05957s/9 iter), 1.9/101.2ep, loss = 6.86789
I0622 17:46:19.054942  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.10003 (* 2 = 4.20007 loss)
I0622 17:46:19.054950  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.66781 (* 1 = 2.66781 loss)
I0622 17:46:19.054957  1019 sgd_solver.cpp:170] Iteration 135, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:20.116025  1019 solver.cpp:350] Iteration 144 (8.48183 iter/s, 1.06109s/9 iter), 2/101.2ep, loss = 43.9611
I0622 17:46:20.116045  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.563 (* 2 = 31.1261 loss)
I0622 17:46:20.116053  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.835 (* 1 = 12.835 loss)
I0622 17:46:20.116060  1019 sgd_solver.cpp:170] Iteration 144, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:20.233546  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_146.caffemodel
I0622 17:46:20.270407  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_146.solverstate
I0622 17:46:20.296375  1019 solver.cpp:516] Iteration 146, Testing net (#0)
I0622 17:46:20.469274  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:20.502462  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:20.512193  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.9573 (* 2 = 39.9147 loss)
I0622 17:46:20.512210  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0282 (* 1 = 16.0282 loss)
I0622 17:46:20.512217  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:20.512223  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:20.512229  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:20.512251  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.396233s
I0622 17:46:21.456084  1019 solver.cpp:350] Iteration 153 (22.7139 iter/s, 0.396233s/9 iter), 2.1/101.2ep, loss = 9.19022
I0622 17:46:21.456104  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.59474 (* 2 = 7.18948 loss)
I0622 17:46:21.456111  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.00074 (* 1 = 2.00074 loss)
I0622 17:46:21.456118  1019 sgd_solver.cpp:170] Iteration 153, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:22.517582  1019 solver.cpp:350] Iteration 162 (8.47865 iter/s, 1.06149s/9 iter), 2.2/101.2ep, loss = 59.0522
I0622 17:46:22.517603  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.3507 (* 2 = 42.7014 loss)
I0622 17:46:22.517612  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.3508 (* 1 = 16.3508 loss)
I0622 17:46:22.517619  1019 sgd_solver.cpp:170] Iteration 162, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:23.578224  1019 solver.cpp:350] Iteration 171 (8.4855 iter/s, 1.06063s/9 iter), 2.4/101.2ep, loss = 42.7356
I0622 17:46:23.578243  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.5335 (* 2 = 33.0671 loss)
I0622 17:46:23.578253  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.66851 (* 1 = 9.66851 loss)
I0622 17:46:23.578263  1019 sgd_solver.cpp:170] Iteration 171, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:24.640766  1019 solver.cpp:350] Iteration 180 (8.47031 iter/s, 1.06254s/9 iter), 2.5/101.2ep, loss = 54.6216
I0622 17:46:24.640785  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.6405 (* 2 = 41.2811 loss)
I0622 17:46:24.640794  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.3405 (* 1 = 13.3405 loss)
I0622 17:46:24.640805  1019 sgd_solver.cpp:170] Iteration 180, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:25.703963  1019 solver.cpp:350] Iteration 189 (8.46511 iter/s, 1.06319s/9 iter), 2.6/101.2ep, loss = 33.0516
I0622 17:46:25.703981  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.4378 (* 2 = 24.8755 loss)
I0622 17:46:25.703990  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.17601 (* 1 = 8.17601 loss)
I0622 17:46:25.703997  1019 sgd_solver.cpp:170] Iteration 189, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:25.704128  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:25.735544  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:26.766391  1019 solver.cpp:350] Iteration 198 (8.47125 iter/s, 1.06242s/9 iter), 2.7/101.2ep, loss = 15.8816
I0622 17:46:26.766412  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.93751 (* 2 = 11.875 loss)
I0622 17:46:26.766419  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00656 (* 1 = 4.00656 loss)
I0622 17:46:26.766425  1019 sgd_solver.cpp:170] Iteration 198, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:27.826541  1019 solver.cpp:350] Iteration 207 (8.48941 iter/s, 1.06014s/9 iter), 2.9/101.2ep, loss = 7.71663
I0622 17:46:27.826565  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.941339 (* 2 = 1.88268 loss)
I0622 17:46:27.826576  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.83393 (* 1 = 5.83393 loss)
I0622 17:46:27.826586  1019 sgd_solver.cpp:170] Iteration 207, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:28.887315  1019 solver.cpp:350] Iteration 216 (8.4845 iter/s, 1.06076s/9 iter), 3/101.2ep, loss = 83.7174
I0622 17:46:28.887334  1019 solver.cpp:374]     Train net output #0: loss_bbox = 33.4418 (* 2 = 66.8836 loss)
I0622 17:46:28.887342  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.8338 (* 1 = 16.8338 loss)
I0622 17:46:28.887349  1019 sgd_solver.cpp:170] Iteration 216, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:29.123446  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_219.caffemodel
I0622 17:46:29.156134  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_219.solverstate
I0622 17:46:29.176630  1019 solver.cpp:516] Iteration 219, Testing net (#0)
I0622 17:46:29.307888  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:29.343773  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:29.395085  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.0355 (* 2 = 42.0709 loss)
I0622 17:46:29.395104  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.1006 (* 1 = 19.1006 loss)
I0622 17:46:29.395112  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:29.395133  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:29.395138  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:29.395160  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.507854s
I0622 17:46:30.222879  1019 solver.cpp:350] Iteration 225 (17.7216 iter/s, 0.507854s/9 iter), 3.1/101.2ep, loss = 22.1531
I0622 17:46:30.222900  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.07571 (* 2 = 16.1514 loss)
I0622 17:46:30.222908  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.00169 (* 1 = 6.00169 loss)
I0622 17:46:30.222914  1019 sgd_solver.cpp:170] Iteration 225, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:31.288254  1019 solver.cpp:350] Iteration 234 (8.44781 iter/s, 1.06536s/9 iter), 3.2/101.2ep, loss = 49.1173
I0622 17:46:31.288275  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.7224 (* 2 = 35.4449 loss)
I0622 17:46:31.288283  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.6724 (* 1 = 13.6724 loss)
I0622 17:46:31.288290  1019 sgd_solver.cpp:170] Iteration 234, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:32.350616  1019 solver.cpp:350] Iteration 243 (8.47181 iter/s, 1.06235s/9 iter), 3.4/101.2ep, loss = 70.8326
I0622 17:46:32.350638  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.0815 (* 2 = 56.1631 loss)
I0622 17:46:32.350648  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.6695 (* 1 = 14.6695 loss)
I0622 17:46:32.350657  1019 sgd_solver.cpp:170] Iteration 243, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:33.411218  1019 solver.cpp:350] Iteration 252 (8.48577 iter/s, 1.0606s/9 iter), 3.5/101.2ep, loss = 54.0907
I0622 17:46:33.411238  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.3276 (* 2 = 40.6551 loss)
I0622 17:46:33.411247  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.4356 (* 1 = 13.4356 loss)
I0622 17:46:33.411253  1019 sgd_solver.cpp:170] Iteration 252, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:34.473425  1019 solver.cpp:350] Iteration 261 (8.47306 iter/s, 1.06219s/9 iter), 3.6/101.2ep, loss = 203.281
I0622 17:46:34.473446  1019 solver.cpp:374]     Train net output #0: loss_bbox = 96.8375 (* 2 = 193.675 loss)
I0622 17:46:34.473454  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.60646 (* 1 = 9.60646 loss)
I0622 17:46:34.473462  1019 sgd_solver.cpp:170] Iteration 261, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:34.473572  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:34.512007  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:35.539374  1019 solver.cpp:350] Iteration 270 (8.44325 iter/s, 1.06594s/9 iter), 3.7/101.2ep, loss = 74.0579
I0622 17:46:35.539394  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.1968 (* 2 = 58.3935 loss)
I0622 17:46:35.539402  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6644 (* 1 = 15.6644 loss)
I0622 17:46:35.539410  1019 sgd_solver.cpp:170] Iteration 270, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:36.604820  1019 solver.cpp:350] Iteration 279 (8.44725 iter/s, 1.06544s/9 iter), 3.9/101.2ep, loss = 10.8692
I0622 17:46:36.604841  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.6842 (* 2 = 5.3684 loss)
I0622 17:46:36.604848  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50077 (* 1 = 5.50077 loss)
I0622 17:46:36.604856  1019 sgd_solver.cpp:170] Iteration 279, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:37.671277  1019 solver.cpp:350] Iteration 288 (8.43923 iter/s, 1.06645s/9 iter), 4/101.2ep, loss = 64.6664
I0622 17:46:37.671296  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.7498 (* 2 = 51.4996 loss)
I0622 17:46:37.671304  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.1668 (* 1 = 13.1668 loss)
I0622 17:46:37.671314  1019 sgd_solver.cpp:170] Iteration 288, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:38.026072  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_292.caffemodel
I0622 17:46:38.059120  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_292.solverstate
I0622 17:46:38.080940  1019 solver.cpp:516] Iteration 292, Testing net (#0)
I0622 17:46:38.210593  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:38.241503  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:38.296317  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.0637 (* 2 = 32.1274 loss)
I0622 17:46:38.296335  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7996 (* 1 = 13.7996 loss)
I0622 17:46:38.296344  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:38.296350  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:38.296355  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:38.296376  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.625106s
I0622 17:46:39.008069  1019 solver.cpp:350] Iteration 297 (14.3976 iter/s, 0.625106s/9 iter), 4.1/101.2ep, loss = 13.4419
I0622 17:46:39.008090  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.72013 (* 2 = 9.44027 loss)
I0622 17:46:39.008097  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00163 (* 1 = 4.00163 loss)
I0622 17:46:39.008105  1019 sgd_solver.cpp:170] Iteration 297, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:40.073688  1019 solver.cpp:350] Iteration 306 (8.44586 iter/s, 1.06561s/9 iter), 4.2/101.2ep, loss = 44.5689
I0622 17:46:40.073706  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.5352 (* 2 = 33.0704 loss)
I0622 17:46:40.073714  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.4985 (* 1 = 11.4985 loss)
I0622 17:46:40.073721  1019 sgd_solver.cpp:170] Iteration 306, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:41.141521  1019 solver.cpp:350] Iteration 315 (8.42833 iter/s, 1.06783s/9 iter), 4.4/101.2ep, loss = 50.415
I0622 17:46:41.141541  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.533 (* 2 = 39.066 loss)
I0622 17:46:41.141549  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3491 (* 1 = 11.3491 loss)
I0622 17:46:41.141556  1019 sgd_solver.cpp:170] Iteration 315, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:42.213421  1019 solver.cpp:350] Iteration 324 (8.39643 iter/s, 1.07188s/9 iter), 4.5/101.2ep, loss = 54.1265
I0622 17:46:42.213443  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.2306 (* 2 = 38.4612 loss)
I0622 17:46:42.213450  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6652 (* 1 = 15.6652 loss)
I0622 17:46:42.213457  1019 sgd_solver.cpp:170] Iteration 324, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:43.285238  1019 solver.cpp:350] Iteration 333 (8.39702 iter/s, 1.07181s/9 iter), 4.6/101.2ep, loss = 36.1535
I0622 17:46:43.285259  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.9933 (* 2 = 25.9865 loss)
I0622 17:46:43.285267  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.167 (* 1 = 10.167 loss)
I0622 17:46:43.285274  1019 sgd_solver.cpp:170] Iteration 333, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:43.285387  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:43.320374  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:44.354744  1019 solver.cpp:350] Iteration 342 (8.41516 iter/s, 1.0695s/9 iter), 4.7/101.2ep, loss = 56.0869
I0622 17:46:44.354764  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.8768 (* 2 = 39.7536 loss)
I0622 17:46:44.354773  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.3333 (* 1 = 16.3333 loss)
I0622 17:46:44.354780  1019 sgd_solver.cpp:170] Iteration 342, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:45.421707  1019 solver.cpp:350] Iteration 351 (8.43527 iter/s, 1.06695s/9 iter), 4.9/101.2ep, loss = 43.5496
I0622 17:46:45.421804  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.2747 (* 2 = 28.5495 loss)
I0622 17:46:45.421814  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.0001 (* 1 = 15.0001 loss)
I0622 17:46:45.421821  1019 sgd_solver.cpp:170] Iteration 351, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:46.492630  1019 solver.cpp:350] Iteration 360 (8.40399 iter/s, 1.07092s/9 iter), 5/101.2ep, loss = 27.5932
I0622 17:46:46.492650  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.0466 (* 2 = 20.0932 loss)
I0622 17:46:46.492658  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.49999 (* 1 = 7.49999 loss)
I0622 17:46:46.492666  1019 sgd_solver.cpp:170] Iteration 360, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:46.966449  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_365.caffemodel
I0622 17:46:46.999905  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_365.solverstate
I0622 17:46:47.021126  1019 solver.cpp:516] Iteration 365, Testing net (#0)
I0622 17:46:47.107730  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:47.138130  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:47.236789  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.4476 (* 2 = 42.8952 loss)
I0622 17:46:47.236809  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.5001 (* 1 = 19.5001 loss)
I0622 17:46:47.236814  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:47.236820  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:47.236827  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:47.236848  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.744219s
I0622 17:46:47.830034  1019 solver.cpp:350] Iteration 369 (12.0932 iter/s, 0.744219s/9 iter), 5.1/101.2ep, loss = 11.6341
I0622 17:46:47.830054  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.65035 (* 2 = 7.3007 loss)
I0622 17:46:47.830061  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.33341 (* 1 = 4.33341 loss)
I0622 17:46:47.830068  1019 sgd_solver.cpp:170] Iteration 369, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:48.899605  1019 solver.cpp:350] Iteration 378 (8.41468 iter/s, 1.06956s/9 iter), 5.2/101.2ep, loss = 40.9521
I0622 17:46:48.899624  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.4761 (* 2 = 26.9522 loss)
I0622 17:46:48.899632  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.9999 (* 1 = 13.9999 loss)
I0622 17:46:48.899641  1019 sgd_solver.cpp:170] Iteration 378, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:49.965562  1019 solver.cpp:350] Iteration 387 (8.44319 iter/s, 1.06595s/9 iter), 5.4/101.2ep, loss = 55.6388
I0622 17:46:49.965581  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.0696 (* 2 = 38.1392 loss)
I0622 17:46:49.965590  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.4996 (* 1 = 17.4996 loss)
I0622 17:46:49.965597  1019 sgd_solver.cpp:170] Iteration 387, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:51.032765  1019 solver.cpp:350] Iteration 396 (8.43334 iter/s, 1.06719s/9 iter), 5.5/101.2ep, loss = 55.8591
I0622 17:46:51.032788  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.2701 (* 2 = 42.5401 loss)
I0622 17:46:51.032797  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.319 (* 1 = 13.319 loss)
I0622 17:46:51.032804  1019 sgd_solver.cpp:170] Iteration 396, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:52.098377  1019 solver.cpp:350] Iteration 405 (8.44591 iter/s, 1.0656s/9 iter), 5.6/101.2ep, loss = 36.4897
I0622 17:46:52.098402  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2204 (* 2 = 26.4408 loss)
I0622 17:46:52.098414  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.0489 (* 1 = 10.0489 loss)
I0622 17:46:52.098423  1019 sgd_solver.cpp:170] Iteration 405, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:52.098546  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:52.127249  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:53.164120  1019 solver.cpp:350] Iteration 414 (8.44493 iter/s, 1.06573s/9 iter), 5.7/101.2ep, loss = 76.5147
I0622 17:46:53.164139  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.4972 (* 2 = 58.9944 loss)
I0622 17:46:53.164147  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.5203 (* 1 = 17.5203 loss)
I0622 17:46:53.164155  1019 sgd_solver.cpp:170] Iteration 414, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:54.235791  1019 solver.cpp:350] Iteration 423 (8.39812 iter/s, 1.07167s/9 iter), 5.9/101.2ep, loss = 47.7464
I0622 17:46:54.235815  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.06 (* 2 = 32.1201 loss)
I0622 17:46:54.235826  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6264 (* 1 = 15.6264 loss)
I0622 17:46:54.235836  1019 sgd_solver.cpp:170] Iteration 423, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:55.306116  1019 solver.cpp:350] Iteration 432 (8.4088 iter/s, 1.07031s/9 iter), 6/101.2ep, loss = 27.2356
I0622 17:46:55.306134  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.9495 (* 2 = 23.8989 loss)
I0622 17:46:55.306143  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.33665 (* 1 = 3.33665 loss)
I0622 17:46:55.306152  1019 sgd_solver.cpp:170] Iteration 432, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:55.902117  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_438.caffemodel
I0622 17:46:55.935305  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_438.solverstate
I0622 17:46:55.955858  1019 solver.cpp:516] Iteration 438, Testing net (#0)
I0622 17:46:56.044433  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:56.083026  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:46:56.179287  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.4851 (* 2 = 30.9702 loss)
I0622 17:46:56.179312  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.792 (* 1 = 15.792 loss)
I0622 17:46:56.179319  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:46:56.179325  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:46:56.179332  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:46:56.179355  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.873245s
I0622 17:46:56.655778  1019 solver.cpp:350] Iteration 441 (10.3064 iter/s, 0.873245s/9 iter), 6.1/101.2ep, loss = 1295.86
I0622 17:46:56.655799  1019 solver.cpp:374]     Train net output #0: loss_bbox = 642.183 (* 2 = 1284.37 loss)
I0622 17:46:56.655809  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.4973 (* 1 = 11.4973 loss)
I0622 17:46:56.655817  1019 sgd_solver.cpp:170] Iteration 441, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:57.728245  1019 solver.cpp:350] Iteration 450 (8.39196 iter/s, 1.07245s/9 iter), 6.2/101.2ep, loss = 66.1086
I0622 17:46:57.728265  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.4309 (* 2 = 54.8619 loss)
I0622 17:46:57.728272  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.2467 (* 1 = 11.2467 loss)
I0622 17:46:57.728279  1019 sgd_solver.cpp:170] Iteration 450, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:58.800647  1019 solver.cpp:350] Iteration 459 (8.3924 iter/s, 1.0724s/9 iter), 6.4/101.2ep, loss = 61.4102
I0622 17:46:58.800671  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.6192 (* 2 = 47.2384 loss)
I0622 17:46:58.800683  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1717 (* 1 = 14.1717 loss)
I0622 17:46:58.800693  1019 sgd_solver.cpp:170] Iteration 459, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:46:59.872052  1019 solver.cpp:350] Iteration 468 (8.40029 iter/s, 1.07139s/9 iter), 6.5/101.2ep, loss = 45.4426
I0622 17:46:59.872072  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.2914 (* 2 = 38.5828 loss)
I0622 17:46:59.872081  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.85978 (* 1 = 6.85978 loss)
I0622 17:46:59.872102  1019 sgd_solver.cpp:170] Iteration 468, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:00.939411  1019 solver.cpp:350] Iteration 477 (8.43213 iter/s, 1.06735s/9 iter), 6.6/101.2ep, loss = 55.2943
I0622 17:47:00.939431  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.9833 (* 2 = 41.9665 loss)
I0622 17:47:00.939440  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.3278 (* 1 = 13.3278 loss)
I0622 17:47:00.939447  1019 sgd_solver.cpp:170] Iteration 477, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:00.939549  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:00.968987  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:02.008319  1019 solver.cpp:350] Iteration 486 (8.41985 iter/s, 1.0689s/9 iter), 6.7/101.2ep, loss = 17.0421
I0622 17:47:02.008338  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.85283 (* 2 = 11.7057 loss)
I0622 17:47:02.008347  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.33641 (* 1 = 5.33641 loss)
I0622 17:47:02.008353  1019 sgd_solver.cpp:170] Iteration 486, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:03.076272  1019 solver.cpp:350] Iteration 495 (8.42742 iter/s, 1.06794s/9 iter), 6.9/101.2ep, loss = 43.9538
I0622 17:47:03.076290  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.1432 (* 2 = 26.2864 loss)
I0622 17:47:03.076298  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.6674 (* 1 = 17.6674 loss)
I0622 17:47:03.076305  1019 sgd_solver.cpp:170] Iteration 495, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:04.142693  1019 solver.cpp:350] Iteration 504 (8.43973 iter/s, 1.06638s/9 iter), 7/101.2ep, loss = 58.6424
I0622 17:47:04.142719  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.7367 (* 2 = 49.4733 loss)
I0622 17:47:04.142731  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.16901 (* 1 = 9.16901 loss)
I0622 17:47:04.142740  1019 sgd_solver.cpp:170] Iteration 504, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:04.853945  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_511.caffemodel
I0622 17:47:04.886656  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_511.solverstate
I0622 17:47:04.907761  1019 solver.cpp:516] Iteration 511, Testing net (#0)
I0622 17:47:04.952878  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:04.990495  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:05.132439  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.5933 (* 2 = 37.1867 loss)
I0622 17:47:05.132459  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4338 (* 1 = 18.4338 loss)
I0622 17:47:05.132467  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:05.132472  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:05.132479  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:05.132503  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.989816s
I0622 17:47:05.487176  1019 solver.cpp:350] Iteration 513 (9.0926 iter/s, 0.989816s/9 iter), 7.1/101.2ep, loss = 217.858
I0622 17:47:05.487196  1019 solver.cpp:374]     Train net output #0: loss_bbox = 102.519 (* 2 = 205.038 loss)
I0622 17:47:05.487205  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8198 (* 1 = 12.8198 loss)
I0622 17:47:05.487212  1019 sgd_solver.cpp:170] Iteration 513, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:06.554153  1019 solver.cpp:350] Iteration 522 (8.43516 iter/s, 1.06696s/9 iter), 7.2/101.2ep, loss = 75.8861
I0622 17:47:06.554172  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.8565 (* 2 = 59.7129 loss)
I0622 17:47:06.554181  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1731 (* 1 = 16.1731 loss)
I0622 17:47:06.554188  1019 sgd_solver.cpp:170] Iteration 522, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:07.624387  1019 solver.cpp:350] Iteration 531 (8.40942 iter/s, 1.07023s/9 iter), 7.4/101.2ep, loss = 70.7761
I0622 17:47:07.624420  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.1398 (* 2 = 54.2796 loss)
I0622 17:47:07.624430  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4965 (* 1 = 16.4965 loss)
I0622 17:47:07.624439  1019 sgd_solver.cpp:170] Iteration 531, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:08.690639  1019 solver.cpp:350] Iteration 540 (8.44087 iter/s, 1.06624s/9 iter), 7.5/101.2ep, loss = 14.9633
I0622 17:47:08.690659  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.14638 (* 2 = 12.2928 loss)
I0622 17:47:08.690670  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.67061 (* 1 = 2.67061 loss)
I0622 17:47:08.690676  1019 sgd_solver.cpp:170] Iteration 540, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:09.756162  1019 solver.cpp:350] Iteration 549 (8.44658 iter/s, 1.06552s/9 iter), 7.6/101.2ep, loss = 74.9507
I0622 17:47:09.756182  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.7392 (* 2 = 59.4783 loss)
I0622 17:47:09.756194  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.4724 (* 1 = 15.4724 loss)
I0622 17:47:09.756201  1019 sgd_solver.cpp:170] Iteration 549, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:09.756322  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:09.785419  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:10.825819  1019 solver.cpp:350] Iteration 558 (8.41405 iter/s, 1.06964s/9 iter), 7.7/101.2ep, loss = 18.6409
I0622 17:47:10.825837  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.73268 (* 2 = 13.4654 loss)
I0622 17:47:10.825845  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.17559 (* 1 = 5.17559 loss)
I0622 17:47:10.825855  1019 sgd_solver.cpp:170] Iteration 558, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:11.896381  1019 solver.cpp:350] Iteration 567 (8.40681 iter/s, 1.07056s/9 iter), 7.9/101.2ep, loss = 41.4389
I0622 17:47:11.896404  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8875 (* 2 = 27.7749 loss)
I0622 17:47:11.896415  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.664 (* 1 = 13.664 loss)
I0622 17:47:11.896425  1019 sgd_solver.cpp:170] Iteration 567, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:13.065260  1019 solver.cpp:350] Iteration 576 (7.69984 iter/s, 1.16886s/9 iter), 8/101.2ep, loss = 59.0246
I0622 17:47:13.065281  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.1803 (* 2 = 46.3606 loss)
I0622 17:47:13.065289  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.6641 (* 1 = 12.6641 loss)
I0622 17:47:13.065296  1019 sgd_solver.cpp:170] Iteration 576, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:13.897524  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_584.caffemodel
I0622 17:47:13.931792  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_584.solverstate
I0622 17:47:13.952908  1019 solver.cpp:516] Iteration 584, Testing net (#0)
I0622 17:47:13.996466  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:14.041121  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:14.177911  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.6334 (* 2 = 33.2669 loss)
I0622 17:47:14.177930  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1329 (* 1 = 17.1329 loss)
I0622 17:47:14.177937  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:14.177944  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:14.177949  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:14.177976  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11272s
I0622 17:47:14.423082  1019 solver.cpp:350] Iteration 585 (8.08825 iter/s, 1.11272s/9 iter), 8.1/101.2ep, loss = 1011.01
I0622 17:47:14.423104  1019 solver.cpp:374]     Train net output #0: loss_bbox = 497.186 (* 2 = 994.371 loss)
I0622 17:47:14.423112  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.6362 (* 1 = 16.6362 loss)
I0622 17:47:14.423120  1019 sgd_solver.cpp:170] Iteration 585, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:15.506470  1019 solver.cpp:350] Iteration 594 (8.30732 iter/s, 1.08338s/9 iter), 8.2/101.2ep, loss = 138.21
I0622 17:47:15.506590  1019 solver.cpp:374]     Train net output #0: loss_bbox = 61.3466 (* 2 = 122.693 loss)
I0622 17:47:15.506603  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.5171 (* 1 = 15.5171 loss)
I0622 17:47:15.506613  1019 sgd_solver.cpp:170] Iteration 594, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:16.570693  1019 solver.cpp:350] Iteration 603 (8.4569 iter/s, 1.06422s/9 iter), 8.4/101.2ep, loss = 32.6825
I0622 17:47:16.570714  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.4978 (* 2 = 24.9957 loss)
I0622 17:47:16.570725  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.6869 (* 1 = 7.6869 loss)
I0622 17:47:16.570734  1019 sgd_solver.cpp:170] Iteration 603, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:17.636654  1019 solver.cpp:350] Iteration 612 (8.4432 iter/s, 1.06595s/9 iter), 8.5/101.2ep, loss = 0.0123024
I0622 17:47:17.636673  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:47:17.636685  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0123771 (* 1 = 0.0123771 loss)
I0622 17:47:17.636693  1019 sgd_solver.cpp:170] Iteration 612, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:18.699812  1019 solver.cpp:350] Iteration 621 (8.46544 iter/s, 1.06315s/9 iter), 8.6/101.2ep, loss = 450.969
I0622 17:47:18.699831  1019 solver.cpp:374]     Train net output #0: loss_bbox = 217.401 (* 2 = 434.802 loss)
I0622 17:47:18.699839  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1669 (* 1 = 16.1669 loss)
I0622 17:47:18.699846  1019 sgd_solver.cpp:170] Iteration 621, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:18.700052  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:18.729876  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:19.763741  1019 solver.cpp:350] Iteration 630 (8.45928 iter/s, 1.06392s/9 iter), 8.7/101.2ep, loss = 35.6771
I0622 17:47:19.763761  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.7564 (* 2 = 27.5128 loss)
I0622 17:47:19.763768  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16443 (* 1 = 8.16443 loss)
I0622 17:47:19.763775  1019 sgd_solver.cpp:170] Iteration 630, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:20.828841  1019 solver.cpp:350] Iteration 639 (8.44994 iter/s, 1.0651s/9 iter), 8.9/101.2ep, loss = 40.7146
I0622 17:47:20.828860  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8575 (* 2 = 27.7151 loss)
I0622 17:47:20.828869  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9996 (* 1 = 12.9996 loss)
I0622 17:47:20.828876  1019 sgd_solver.cpp:170] Iteration 639, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:21.895295  1019 solver.cpp:350] Iteration 648 (8.43925 iter/s, 1.06644s/9 iter), 9/101.2ep, loss = 57.929
I0622 17:47:21.895318  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.4644 (* 2 = 46.9288 loss)
I0622 17:47:21.895329  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.0003 (* 1 = 11.0003 loss)
I0622 17:47:21.895339  1019 sgd_solver.cpp:170] Iteration 648, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:22.843899  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_657.caffemodel
I0622 17:47:22.876037  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_657.solverstate
I0622 17:47:22.896720  1019 solver.cpp:516] Iteration 657, Testing net (#0)
I0622 17:47:22.896862  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:22.932770  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:23.114110  1019 solver.cpp:602]     Test net output #0: loss_bbox = 22.3621 (* 2 = 44.7242 loss)
I0622 17:47:23.114130  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3324 (* 1 = 15.3324 loss)
I0622 17:47:23.114136  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:23.114142  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:23.114148  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:23.114168  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.21887s
I0622 17:47:23.232555  1019 solver.cpp:350] Iteration 657 (7.38387 iter/s, 1.21887s/9 iter), 9.1/101.2ep, loss = 23.9761
I0622 17:47:23.232574  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.65433 (* 2 = 19.3087 loss)
I0622 17:47:23.232583  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.66746 (* 1 = 4.66746 loss)
I0622 17:47:23.232589  1019 sgd_solver.cpp:170] Iteration 657, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:24.297889  1019 solver.cpp:350] Iteration 666 (8.44813 iter/s, 1.06532s/9 iter), 9.2/101.2ep, loss = 99.005
I0622 17:47:24.297909  1019 solver.cpp:374]     Train net output #0: loss_bbox = 40.6688 (* 2 = 81.3377 loss)
I0622 17:47:24.297920  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.6674 (* 1 = 17.6674 loss)
I0622 17:47:24.297930  1019 sgd_solver.cpp:170] Iteration 666, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:25.364655  1019 solver.cpp:350] Iteration 675 (8.4368 iter/s, 1.06676s/9 iter), 9.4/101.2ep, loss = 38.7001
I0622 17:47:25.364675  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.4314 (* 2 = 28.8627 loss)
I0622 17:47:25.364682  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.83743 (* 1 = 9.83743 loss)
I0622 17:47:25.364691  1019 sgd_solver.cpp:170] Iteration 675, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:26.430785  1019 solver.cpp:350] Iteration 684 (8.44182 iter/s, 1.06612s/9 iter), 9.5/101.2ep, loss = 0.00372696
I0622 17:47:26.430805  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:47:26.430814  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00369159 (* 1 = 0.00369159 loss)
I0622 17:47:26.430820  1019 sgd_solver.cpp:170] Iteration 684, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:27.501564  1019 solver.cpp:350] Iteration 693 (8.40518 iter/s, 1.07077s/9 iter), 9.6/101.2ep, loss = 60.2439
I0622 17:47:27.501582  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.4563 (* 2 = 48.9126 loss)
I0622 17:47:27.501591  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3313 (* 1 = 11.3313 loss)
I0622 17:47:27.501598  1019 sgd_solver.cpp:170] Iteration 693, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:27.501729  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:27.541564  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:28.636165  1019 solver.cpp:350] Iteration 702 (7.93233 iter/s, 1.1346s/9 iter), 9.7/101.2ep, loss = 51.0731
I0622 17:47:28.636188  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.4643 (* 2 = 40.9287 loss)
I0622 17:47:28.636195  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1444 (* 1 = 10.1444 loss)
I0622 17:47:28.636204  1019 sgd_solver.cpp:170] Iteration 702, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:29.711367  1019 solver.cpp:350] Iteration 711 (8.37062 iter/s, 1.07519s/9 iter), 9.9/101.2ep, loss = 31.4831
I0622 17:47:29.711393  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.4896 (* 2 = 24.9792 loss)
I0622 17:47:29.711405  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.50379 (* 1 = 6.50379 loss)
I0622 17:47:29.711413  1019 sgd_solver.cpp:170] Iteration 711, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:30.797026  1019 solver.cpp:350] Iteration 720 (8.29006 iter/s, 1.08564s/9 iter), 10/101.2ep, loss = 65.3739
I0622 17:47:30.797046  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.7761 (* 2 = 47.5521 loss)
I0622 17:47:30.797055  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.8217 (* 1 = 17.8217 loss)
I0622 17:47:30.797062  1019 sgd_solver.cpp:170] Iteration 720, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:31.878070  1019 solver.cpp:350] Iteration 729 (8.32525 iter/s, 1.08105s/9 iter), 10.1/101.2ep, loss = 15.6234
I0622 17:47:31.878091  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.22478 (* 2 = 12.4496 loss)
I0622 17:47:31.878101  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.17387 (* 1 = 3.17387 loss)
I0622 17:47:31.878125  1019 sgd_solver.cpp:170] Iteration 729, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:31.878144  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_730.caffemodel
I0622 17:47:31.911720  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_730.solverstate
I0622 17:47:31.933176  1019 solver.cpp:516] Iteration 730, Testing net (#0)
I0622 17:47:31.933338  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:31.965965  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:32.108882  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:32.138808  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:32.152423  1019 solver.cpp:602]     Test net output #0: loss_bbox = 20.3708 (* 2 = 40.7416 loss)
I0622 17:47:32.152441  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8668 (* 1 = 17.8668 loss)
I0622 17:47:32.152448  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:32.152454  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:32.152460  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:32.152480  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.274413s
I0622 17:47:33.220325  1019 solver.cpp:350] Iteration 738 (32.7973 iter/s, 0.274413s/9 iter), 10.2/101.2ep, loss = 90.121
I0622 17:47:33.220345  1019 solver.cpp:374]     Train net output #0: loss_bbox = 37.3956 (* 2 = 74.7911 loss)
I0622 17:47:33.220355  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.3298 (* 1 = 15.3298 loss)
I0622 17:47:33.220361  1019 sgd_solver.cpp:170] Iteration 738, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:34.286659  1019 solver.cpp:350] Iteration 747 (8.44023 iter/s, 1.06632s/9 iter), 10.4/101.2ep, loss = 43.7948
I0622 17:47:34.286677  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.2346 (* 2 = 32.4693 loss)
I0622 17:47:34.286685  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3254 (* 1 = 11.3254 loss)
I0622 17:47:34.286692  1019 sgd_solver.cpp:170] Iteration 747, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:35.352685  1019 solver.cpp:350] Iteration 756 (8.44266 iter/s, 1.06601s/9 iter), 10.5/101.2ep, loss = 2.91423
I0622 17:47:35.352705  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.786789 (* 2 = 1.57358 loss)
I0622 17:47:35.352716  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.3406 (* 1 = 1.3406 loss)
I0622 17:47:35.352725  1019 sgd_solver.cpp:170] Iteration 756, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:36.420985  1019 solver.cpp:350] Iteration 765 (8.42469 iter/s, 1.06829s/9 iter), 10.6/101.2ep, loss = 29.1989
I0622 17:47:36.421005  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.4309 (* 2 = 20.8617 loss)
I0622 17:47:36.421013  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.33712 (* 1 = 8.33712 loss)
I0622 17:47:36.421020  1019 sgd_solver.cpp:170] Iteration 765, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:36.421146  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:36.451356  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:37.488405  1019 solver.cpp:350] Iteration 774 (8.43155 iter/s, 1.06742s/9 iter), 10.7/101.2ep, loss = 86.7656
I0622 17:47:37.488425  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.97 (* 2 = 71.94 loss)
I0622 17:47:37.488433  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8256 (* 1 = 14.8256 loss)
I0622 17:47:37.488440  1019 sgd_solver.cpp:170] Iteration 774, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:38.554762  1019 solver.cpp:350] Iteration 783 (8.44013 iter/s, 1.06633s/9 iter), 10.8/101.2ep, loss = 54.2845
I0622 17:47:38.554781  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.8926 (* 2 = 41.7853 loss)
I0622 17:47:38.554797  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.4991 (* 1 = 12.4991 loss)
I0622 17:47:38.554806  1019 sgd_solver.cpp:170] Iteration 783, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:39.619946  1019 solver.cpp:350] Iteration 792 (8.44923 iter/s, 1.06519s/9 iter), 11/101.2ep, loss = 48.5406
I0622 17:47:39.619966  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.8634 (* 2 = 31.7269 loss)
I0622 17:47:39.619973  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.8138 (* 1 = 16.8138 loss)
I0622 17:47:39.619980  1019 sgd_solver.cpp:170] Iteration 792, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:40.691820  1019 solver.cpp:350] Iteration 801 (8.39658 iter/s, 1.07186s/9 iter), 11.1/101.2ep, loss = 21.5969
I0622 17:47:40.691841  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.62777 (* 2 = 13.2555 loss)
I0622 17:47:40.691849  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.34134 (* 1 = 8.34134 loss)
I0622 17:47:40.691856  1019 sgd_solver.cpp:170] Iteration 801, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:40.810806  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_803.caffemodel
I0622 17:47:40.843346  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_803.solverstate
I0622 17:47:40.864096  1019 solver.cpp:516] Iteration 803, Testing net (#0)
I0622 17:47:41.040851  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:41.071513  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:41.085254  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.303 (* 2 = 36.6061 loss)
I0622 17:47:41.085273  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0311 (* 1 = 16.0311 loss)
I0622 17:47:41.085279  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:41.085285  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:41.085291  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:41.085312  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.393494s
I0622 17:47:42.040237  1019 solver.cpp:350] Iteration 810 (22.872 iter/s, 0.393494s/9 iter), 11.2/101.2ep, loss = 86.2605
I0622 17:47:42.040256  1019 solver.cpp:374]     Train net output #0: loss_bbox = 33.1339 (* 2 = 66.2679 loss)
I0622 17:47:42.040264  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.9926 (* 1 = 19.9926 loss)
I0622 17:47:42.040273  1019 sgd_solver.cpp:170] Iteration 810, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:43.114768  1019 solver.cpp:350] Iteration 819 (8.37584 iter/s, 1.07452s/9 iter), 11.3/101.2ep, loss = 38.6313
I0622 17:47:43.114787  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.318 (* 2 = 26.636 loss)
I0622 17:47:43.114795  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9952 (* 1 = 11.9952 loss)
I0622 17:47:43.114804  1019 sgd_solver.cpp:170] Iteration 819, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:44.186166  1019 solver.cpp:350] Iteration 828 (8.40034 iter/s, 1.07139s/9 iter), 11.5/101.2ep, loss = 12.828
I0622 17:47:44.186185  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.41269 (* 2 = 8.82537 loss)
I0622 17:47:44.186195  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00257 (* 1 = 4.00257 loss)
I0622 17:47:44.186204  1019 sgd_solver.cpp:170] Iteration 828, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:45.255110  1019 solver.cpp:350] Iteration 837 (8.41958 iter/s, 1.06894s/9 iter), 11.6/101.2ep, loss = 144.202
I0622 17:47:45.255128  1019 solver.cpp:374]     Train net output #0: loss_bbox = 63.7679 (* 2 = 127.536 loss)
I0622 17:47:45.255136  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.6661 (* 1 = 16.6661 loss)
I0622 17:47:45.255144  1019 sgd_solver.cpp:170] Iteration 837, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:45.255268  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:45.284924  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:46.325691  1019 solver.cpp:350] Iteration 846 (8.40672 iter/s, 1.07057s/9 iter), 11.7/101.2ep, loss = 73.9393
I0622 17:47:46.325809  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.6374 (* 2 = 61.2749 loss)
I0622 17:47:46.325824  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.6643 (* 1 = 12.6643 loss)
I0622 17:47:46.325832  1019 sgd_solver.cpp:170] Iteration 846, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:47.395503  1019 solver.cpp:350] Iteration 855 (8.41273 iter/s, 1.06981s/9 iter), 11.8/101.2ep, loss = 50.2144
I0622 17:47:47.395526  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.8558 (* 2 = 37.7116 loss)
I0622 17:47:47.395539  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.5028 (* 1 = 12.5028 loss)
I0622 17:47:47.395548  1019 sgd_solver.cpp:170] Iteration 855, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:48.556090  1019 solver.cpp:350] Iteration 864 (7.75481 iter/s, 1.16057s/9 iter), 12/101.2ep, loss = 78.2014
I0622 17:47:48.556111  1019 solver.cpp:374]     Train net output #0: loss_bbox = 31.5216 (* 2 = 63.0432 loss)
I0622 17:47:48.556120  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.1582 (* 1 = 15.1582 loss)
I0622 17:47:48.556128  1019 sgd_solver.cpp:170] Iteration 864, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:49.639617  1019 solver.cpp:350] Iteration 873 (8.30627 iter/s, 1.08352s/9 iter), 12.1/101.2ep, loss = 24.9589
I0622 17:47:49.639641  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.22953 (* 2 = 14.4591 loss)
I0622 17:47:49.639649  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.4998 (* 1 = 10.4998 loss)
I0622 17:47:49.639657  1019 sgd_solver.cpp:170] Iteration 873, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:49.879117  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_876.caffemodel
I0622 17:47:49.916623  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_876.solverstate
I0622 17:47:49.944442  1019 solver.cpp:516] Iteration 876, Testing net (#0)
I0622 17:47:50.082777  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:50.113739  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:50.170670  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.6041 (* 2 = 37.2083 loss)
I0622 17:47:50.170691  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0987 (* 1 = 19.0987 loss)
I0622 17:47:50.170698  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:50.170704  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:50.170711  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:50.170734  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.53112s
I0622 17:47:51.015938  1019 solver.cpp:350] Iteration 882 (16.9453 iter/s, 0.53112s/9 iter), 12.2/101.2ep, loss = 34.0631
I0622 17:47:51.015956  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.8759 (* 2 = 23.7518 loss)
I0622 17:47:51.015964  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3112 (* 1 = 10.3112 loss)
I0622 17:47:51.015972  1019 sgd_solver.cpp:170] Iteration 882, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:52.080844  1019 solver.cpp:350] Iteration 891 (8.45147 iter/s, 1.0649s/9 iter), 12.3/101.2ep, loss = 30.9885
I0622 17:47:52.080863  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.3283 (* 2 = 20.6565 loss)
I0622 17:47:52.080871  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3319 (* 1 = 10.3319 loss)
I0622 17:47:52.080878  1019 sgd_solver.cpp:170] Iteration 891, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:53.144726  1019 solver.cpp:350] Iteration 900 (8.45971 iter/s, 1.06387s/9 iter), 12.5/101.2ep, loss = 11.8991
I0622 17:47:53.144744  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.02888 (* 2 = 8.05775 loss)
I0622 17:47:53.144752  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.84127 (* 1 = 3.84127 loss)
I0622 17:47:53.144759  1019 sgd_solver.cpp:170] Iteration 900, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:54.207433  1019 solver.cpp:350] Iteration 909 (8.469 iter/s, 1.0627s/9 iter), 12.6/101.2ep, loss = 90.5238
I0622 17:47:54.207473  1019 solver.cpp:374]     Train net output #0: loss_bbox = 33.6036 (* 2 = 67.2072 loss)
I0622 17:47:54.207481  1019 solver.cpp:374]     Train net output #1: loss_coverage = 23.3166 (* 1 = 23.3166 loss)
I0622 17:47:54.207489  1019 sgd_solver.cpp:170] Iteration 909, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:54.207604  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:54.238729  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:55.272529  1019 solver.cpp:350] Iteration 918 (8.45001 iter/s, 1.06509s/9 iter), 12.7/101.2ep, loss = 86.1631
I0622 17:47:55.272548  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.0009 (* 2 = 70.0018 loss)
I0622 17:47:55.272557  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1612 (* 1 = 16.1612 loss)
I0622 17:47:55.272563  1019 sgd_solver.cpp:170] Iteration 918, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:56.336561  1019 solver.cpp:350] Iteration 927 (8.45847 iter/s, 1.06402s/9 iter), 12.8/101.2ep, loss = 69.4047
I0622 17:47:56.336580  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.5384 (* 2 = 51.0767 loss)
I0622 17:47:56.336589  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.3279 (* 1 = 18.3279 loss)
I0622 17:47:56.336596  1019 sgd_solver.cpp:170] Iteration 927, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:57.404283  1019 solver.cpp:350] Iteration 936 (8.42925 iter/s, 1.06771s/9 iter), 13/101.2ep, loss = 13.1288
I0622 17:47:57.404302  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.9797 (* 2 = 7.9594 loss)
I0622 17:47:57.404310  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.16931 (* 1 = 5.16931 loss)
I0622 17:47:57.404317  1019 sgd_solver.cpp:170] Iteration 936, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:58.472698  1019 solver.cpp:350] Iteration 945 (8.42372 iter/s, 1.06841s/9 iter), 13.1/101.2ep, loss = 29.3134
I0622 17:47:58.472719  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.57571 (* 2 = 19.1514 loss)
I0622 17:47:58.472730  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1619 (* 1 = 10.1619 loss)
I0622 17:47:58.472740  1019 sgd_solver.cpp:170] Iteration 945, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:47:58.828148  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_949.caffemodel
I0622 17:47:58.864151  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_949.solverstate
I0622 17:47:58.886160  1019 solver.cpp:516] Iteration 949, Testing net (#0)
I0622 17:47:59.018373  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:59.050062  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:47:59.104833  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.6477 (* 2 = 27.2954 loss)
I0622 17:47:59.104851  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.798 (* 1 = 13.798 loss)
I0622 17:47:59.104858  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:47:59.104864  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:47:59.104871  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:47:59.104892  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.632194s
I0622 17:47:59.817342  1019 solver.cpp:350] Iteration 954 (14.2361 iter/s, 0.632194s/9 iter), 13.2/101.2ep, loss = 40.7039
I0622 17:47:59.817366  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5208 (* 2 = 31.0416 loss)
I0622 17:47:59.817378  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.66225 (* 1 = 9.66225 loss)
I0622 17:47:59.817387  1019 sgd_solver.cpp:170] Iteration 954, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:00.883394  1019 solver.cpp:350] Iteration 963 (8.44245 iter/s, 1.06604s/9 iter), 13.3/101.2ep, loss = 6.02171
I0622 17:48:00.883419  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.50838 (* 2 = 3.01675 loss)
I0622 17:48:00.883430  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.00491 (* 1 = 3.00491 loss)
I0622 17:48:00.883455  1019 sgd_solver.cpp:170] Iteration 963, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:01.950968  1019 solver.cpp:350] Iteration 972 (8.43048 iter/s, 1.06756s/9 iter), 13.5/101.2ep, loss = 6.18013
I0622 17:48:01.950989  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.92183 (* 2 = 3.84365 loss)
I0622 17:48:01.950996  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.33643 (* 1 = 2.33643 loss)
I0622 17:48:01.951004  1019 sgd_solver.cpp:170] Iteration 972, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:03.019646  1019 solver.cpp:350] Iteration 981 (8.42169 iter/s, 1.06867s/9 iter), 13.6/101.2ep, loss = 72.5195
I0622 17:48:03.019665  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.1816 (* 2 = 50.3632 loss)
I0622 17:48:03.019673  1019 solver.cpp:374]     Train net output #1: loss_coverage = 22.1562 (* 1 = 22.1562 loss)
I0622 17:48:03.019681  1019 sgd_solver.cpp:170] Iteration 981, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:03.019843  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:03.050343  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:04.089120  1019 solver.cpp:350] Iteration 990 (8.41542 iter/s, 1.06947s/9 iter), 13.7/101.2ep, loss = 31.4653
I0622 17:48:04.089140  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.8164 (* 2 = 23.6328 loss)
I0622 17:48:04.089150  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.8324 (* 1 = 7.8324 loss)
I0622 17:48:04.089159  1019 sgd_solver.cpp:170] Iteration 990, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:05.208395  1019 solver.cpp:350] Iteration 999 (8.04097 iter/s, 1.11927s/9 iter), 13.8/101.2ep, loss = 34.4384
I0622 17:48:05.208418  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.0707 (* 2 = 22.1414 loss)
I0622 17:48:05.208426  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.297 (* 1 = 12.297 loss)
I0622 17:48:05.208433  1019 sgd_solver.cpp:170] Iteration 999, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:06.285706  1019 solver.cpp:350] Iteration 1008 (8.3542 iter/s, 1.0773s/9 iter), 14/101.2ep, loss = 25.7881
I0622 17:48:06.285727  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.81444 (* 2 = 15.6289 loss)
I0622 17:48:06.285735  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1592 (* 1 = 10.1592 loss)
I0622 17:48:06.285742  1019 sgd_solver.cpp:170] Iteration 1008, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:07.370499  1019 solver.cpp:350] Iteration 1017 (8.29664 iter/s, 1.08478s/9 iter), 14.1/101.2ep, loss = 41.108
I0622 17:48:07.370520  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.7233 (* 2 = 25.4467 loss)
I0622 17:48:07.370529  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6613 (* 1 = 15.6613 loss)
I0622 17:48:07.370537  1019 sgd_solver.cpp:170] Iteration 1017, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:07.857424  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1022.caffemodel
I0622 17:48:07.890277  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1022.solverstate
I0622 17:48:07.911164  1019 solver.cpp:516] Iteration 1022, Testing net (#0)
I0622 17:48:08.001541  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:08.032004  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:08.132069  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.5942 (* 2 = 43.1883 loss)
I0622 17:48:08.132088  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.497 (* 1 = 19.497 loss)
I0622 17:48:08.132095  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:08.132102  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:08.132107  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:08.132129  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.761639s
I0622 17:48:08.725316  1019 solver.cpp:350] Iteration 1026 (11.8166 iter/s, 0.761639s/9 iter), 14.2/101.2ep, loss = 0.0080941
I0622 17:48:08.725348  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:08.725358  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00804808 (* 1 = 0.00804808 loss)
I0622 17:48:08.725365  1019 sgd_solver.cpp:170] Iteration 1026, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:09.802311  1019 solver.cpp:350] Iteration 1035 (8.3567 iter/s, 1.07698s/9 iter), 14.3/101.2ep, loss = 0.00661401
I0622 17:48:09.802330  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:09.802338  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00656796 (* 1 = 0.00656796 loss)
I0622 17:48:09.802346  1019 sgd_solver.cpp:170] Iteration 1035, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:10.878139  1019 solver.cpp:350] Iteration 1044 (8.36568 iter/s, 1.07582s/9 iter), 14.5/101.2ep, loss = 59.6952
I0622 17:48:10.878159  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.027 (* 2 = 46.054 loss)
I0622 17:48:10.878170  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.6411 (* 1 = 13.6411 loss)
I0622 17:48:10.878180  1019 sgd_solver.cpp:170] Iteration 1044, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:11.952457  1019 solver.cpp:350] Iteration 1053 (8.37754 iter/s, 1.0743s/9 iter), 14.6/101.2ep, loss = 36.2023
I0622 17:48:11.952477  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.2732 (* 2 = 24.5464 loss)
I0622 17:48:11.952486  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.6559 (* 1 = 11.6559 loss)
I0622 17:48:11.952493  1019 sgd_solver.cpp:170] Iteration 1053, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:11.952622  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:11.987923  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:13.017835  1019 solver.cpp:350] Iteration 1062 (8.44779 iter/s, 1.06537s/9 iter), 14.7/101.2ep, loss = 33.5451
I0622 17:48:13.017855  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.1135 (* 2 = 26.227 loss)
I0622 17:48:13.017863  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.31809 (* 1 = 7.31809 loss)
I0622 17:48:13.017873  1019 sgd_solver.cpp:170] Iteration 1062, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:14.086207  1019 solver.cpp:350] Iteration 1071 (8.42414 iter/s, 1.06836s/9 iter), 14.8/101.2ep, loss = 42.9971
I0622 17:48:14.086226  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.7718 (* 2 = 29.5437 loss)
I0622 17:48:14.086236  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.4534 (* 1 = 13.4534 loss)
I0622 17:48:14.086242  1019 sgd_solver.cpp:170] Iteration 1071, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:15.156438  1019 solver.cpp:350] Iteration 1080 (8.40947 iter/s, 1.07022s/9 iter), 15/101.2ep, loss = 46.5883
I0622 17:48:15.156458  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.8768 (* 2 = 33.7536 loss)
I0622 17:48:15.156466  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8346 (* 1 = 12.8346 loss)
I0622 17:48:15.156474  1019 sgd_solver.cpp:170] Iteration 1080, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:16.222245  1019 solver.cpp:350] Iteration 1089 (8.44439 iter/s, 1.0658s/9 iter), 15.1/101.2ep, loss = 58.4183
I0622 17:48:16.222265  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.7938 (* 2 = 43.5876 loss)
I0622 17:48:16.222272  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8306 (* 1 = 14.8306 loss)
I0622 17:48:16.222281  1019 sgd_solver.cpp:170] Iteration 1089, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:16.815043  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1095.caffemodel
I0622 17:48:16.847843  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1095.solverstate
I0622 17:48:16.869598  1019 solver.cpp:516] Iteration 1095, Testing net (#0)
I0622 17:48:16.956465  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:17.001638  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:17.087265  1019 solver.cpp:602]     Test net output #0: loss_bbox = 25.4708 (* 2 = 50.9417 loss)
I0622 17:48:17.087285  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7864 (* 1 = 15.7864 loss)
I0622 17:48:17.087291  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:17.087297  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:17.087303  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:17.087326  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.865086s
I0622 17:48:17.560431  1019 solver.cpp:350] Iteration 1098 (10.4036 iter/s, 0.865086s/9 iter), 15.2/101.2ep, loss = 0.00873566
I0622 17:48:17.560451  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:17.560462  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00865439 (* 1 = 0.00865439 loss)
I0622 17:48:17.560470  1019 sgd_solver.cpp:170] Iteration 1098, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:18.626967  1019 solver.cpp:350] Iteration 1107 (8.43855 iter/s, 1.06653s/9 iter), 15.3/101.2ep, loss = 0.0366621
I0622 17:48:18.626991  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:18.627003  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0365873 (* 1 = 0.0365873 loss)
I0622 17:48:18.627013  1019 sgd_solver.cpp:170] Iteration 1107, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:19.694684  1019 solver.cpp:350] Iteration 1116 (8.42934 iter/s, 1.0677s/9 iter), 15.5/101.2ep, loss = 54.9304
I0622 17:48:19.694703  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.5514 (* 2 = 43.1027 loss)
I0622 17:48:19.694715  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.8276 (* 1 = 11.8276 loss)
I0622 17:48:19.694723  1019 sgd_solver.cpp:170] Iteration 1116, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:20.763167  1019 solver.cpp:350] Iteration 1125 (8.42316 iter/s, 1.06848s/9 iter), 15.6/101.2ep, loss = 22.0878
I0622 17:48:20.763187  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.94532 (* 2 = 15.8906 loss)
I0622 17:48:20.763195  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.19704 (* 1 = 6.19704 loss)
I0622 17:48:20.763206  1019 sgd_solver.cpp:170] Iteration 1125, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:20.763303  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:20.794236  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:21.829119  1019 solver.cpp:350] Iteration 1134 (8.44333 iter/s, 1.06593s/9 iter), 15.7/101.2ep, loss = 23.8861
I0622 17:48:21.829138  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.92249 (* 2 = 19.845 loss)
I0622 17:48:21.829146  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.04103 (* 1 = 4.04103 loss)
I0622 17:48:21.829154  1019 sgd_solver.cpp:170] Iteration 1134, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:23.033547  1019 solver.cpp:350] Iteration 1143 (7.47253 iter/s, 1.20441s/9 iter), 15.8/101.2ep, loss = 72.1489
I0622 17:48:23.033568  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.772 (* 2 = 53.5441 loss)
I0622 17:48:23.033584  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.6047 (* 1 = 18.6047 loss)
I0622 17:48:23.033593  1019 sgd_solver.cpp:170] Iteration 1143, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:24.119683  1019 solver.cpp:350] Iteration 1152 (8.28628 iter/s, 1.08613s/9 iter), 16/101.2ep, loss = 45.5643
I0622 17:48:24.119709  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.3026 (* 2 = 28.6052 loss)
I0622 17:48:24.119721  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.959 (* 1 = 16.959 loss)
I0622 17:48:24.119756  1019 sgd_solver.cpp:170] Iteration 1152, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:25.212704  1019 solver.cpp:350] Iteration 1161 (8.23413 iter/s, 1.09301s/9 iter), 16.1/101.2ep, loss = 45.3535
I0622 17:48:25.212723  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.9214 (* 2 = 29.8429 loss)
I0622 17:48:25.212731  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.5106 (* 1 = 15.5106 loss)
I0622 17:48:25.212738  1019 sgd_solver.cpp:170] Iteration 1161, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:25.960781  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1168.caffemodel
I0622 17:48:25.998412  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1168.solverstate
I0622 17:48:26.025744  1019 solver.cpp:516] Iteration 1168, Testing net (#0)
I0622 17:48:26.070976  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:26.102267  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:26.249442  1019 solver.cpp:602]     Test net output #0: loss_bbox = 23.637 (* 2 = 47.2741 loss)
I0622 17:48:26.249462  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4132 (* 1 = 18.4132 loss)
I0622 17:48:26.249469  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:26.249475  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:26.249481  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:26.249505  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.0368s
I0622 17:48:26.608968  1019 solver.cpp:350] Iteration 1170 (8.68052 iter/s, 1.0368s/9 iter), 16.2/101.2ep, loss = 0.00997162
I0622 17:48:26.608989  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:26.608999  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00988846 (* 1 = 0.00988846 loss)
I0622 17:48:26.609009  1019 sgd_solver.cpp:170] Iteration 1170, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:27.695178  1019 solver.cpp:350] Iteration 1179 (8.28576 iter/s, 1.0862s/9 iter), 16.3/101.2ep, loss = 0.00940704
I0622 17:48:27.695199  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:27.695207  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00932566 (* 1 = 0.00932566 loss)
I0622 17:48:27.695215  1019 sgd_solver.cpp:170] Iteration 1179, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:28.778479  1019 solver.cpp:350] Iteration 1188 (8.30797 iter/s, 1.0833s/9 iter), 16.5/101.2ep, loss = 57.4681
I0622 17:48:28.778501  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.5707 (* 2 = 45.1415 loss)
I0622 17:48:28.778511  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.3266 (* 1 = 12.3266 loss)
I0622 17:48:28.778519  1019 sgd_solver.cpp:170] Iteration 1188, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:29.842211  1019 solver.cpp:350] Iteration 1197 (8.46087 iter/s, 1.06372s/9 iter), 16.6/101.2ep, loss = 42.8424
I0622 17:48:29.842231  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.7589 (* 2 = 33.5178 loss)
I0622 17:48:29.842242  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.3245 (* 1 = 9.3245 loss)
I0622 17:48:29.842250  1019 sgd_solver.cpp:170] Iteration 1197, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:29.842383  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:29.879997  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:30.905987  1019 solver.cpp:350] Iteration 1206 (8.46046 iter/s, 1.06377s/9 iter), 16.7/101.2ep, loss = 20.2929
I0622 17:48:30.906009  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.14675 (* 2 = 16.2935 loss)
I0622 17:48:30.906019  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.99935 (* 1 = 3.99935 loss)
I0622 17:48:30.906029  1019 sgd_solver.cpp:170] Iteration 1206, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:31.968372  1019 solver.cpp:350] Iteration 1215 (8.47159 iter/s, 1.06237s/9 iter), 16.8/101.2ep, loss = 60.3325
I0622 17:48:31.968416  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.9334 (* 2 = 45.8669 loss)
I0622 17:48:31.968428  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.4655 (* 1 = 14.4655 loss)
I0622 17:48:31.968442  1019 sgd_solver.cpp:170] Iteration 1215, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:33.033357  1019 solver.cpp:350] Iteration 1224 (8.45094 iter/s, 1.06497s/9 iter), 17/101.2ep, loss = 26.359
I0622 17:48:33.033378  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.92863 (* 2 = 17.8573 loss)
I0622 17:48:33.033388  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.5017 (* 1 = 8.5017 loss)
I0622 17:48:33.033397  1019 sgd_solver.cpp:170] Iteration 1224, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:34.100210  1019 solver.cpp:350] Iteration 1233 (8.43609 iter/s, 1.06685s/9 iter), 17.1/101.2ep, loss = 10.5669
I0622 17:48:34.100234  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.85327 (* 2 = 7.70654 loss)
I0622 17:48:34.100244  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.8603 (* 1 = 2.8603 loss)
I0622 17:48:34.100253  1019 sgd_solver.cpp:170] Iteration 1233, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:34.928649  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1241.caffemodel
I0622 17:48:34.964571  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1241.solverstate
I0622 17:48:34.988312  1019 solver.cpp:516] Iteration 1241, Testing net (#0)
I0622 17:48:35.031720  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:35.071605  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:35.210609  1019 solver.cpp:602]     Test net output #0: loss_bbox = 22.8313 (* 2 = 45.6626 loss)
I0622 17:48:35.210628  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.0834 (* 1 = 17.0834 loss)
I0622 17:48:35.210635  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:35.210641  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:35.210647  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:35.210669  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11046s
I0622 17:48:35.448133  1019 solver.cpp:350] Iteration 1242 (8.10476 iter/s, 1.11046s/9 iter), 17.2/101.2ep, loss = 0.132034
I0622 17:48:35.448153  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:35.448164  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.131959 (* 1 = 0.131959 loss)
I0622 17:48:35.448173  1019 sgd_solver.cpp:170] Iteration 1242, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:36.514802  1019 solver.cpp:350] Iteration 1251 (8.43753 iter/s, 1.06666s/9 iter), 17.3/101.2ep, loss = 0.0646973
I0622 17:48:36.514822  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:48:36.514829  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0646209 (* 1 = 0.0646209 loss)
I0622 17:48:36.514837  1019 sgd_solver.cpp:170] Iteration 1251, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:37.580749  1019 solver.cpp:350] Iteration 1260 (8.44322 iter/s, 1.06594s/9 iter), 17.5/101.2ep, loss = 14.1671
I0622 17:48:37.580768  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.90425 (* 2 = 9.8085 loss)
I0622 17:48:37.580776  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.35849 (* 1 = 4.35849 loss)
I0622 17:48:37.580783  1019 sgd_solver.cpp:170] Iteration 1260, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:38.647603  1019 solver.cpp:350] Iteration 1269 (8.43614 iter/s, 1.06684s/9 iter), 17.6/101.2ep, loss = 39.7019
I0622 17:48:38.647626  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.6492 (* 2 = 31.2983 loss)
I0622 17:48:38.647634  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.40346 (* 1 = 8.40346 loss)
I0622 17:48:38.647642  1019 sgd_solver.cpp:170] Iteration 1269, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:38.647735  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:38.682072  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:39.717267  1019 solver.cpp:350] Iteration 1278 (8.41398 iter/s, 1.06965s/9 iter), 17.7/101.2ep, loss = 18.4178
I0622 17:48:39.717288  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.67761 (* 2 = 13.3552 loss)
I0622 17:48:39.717296  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.06252 (* 1 = 5.06252 loss)
I0622 17:48:39.717304  1019 sgd_solver.cpp:170] Iteration 1278, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:40.785634  1019 solver.cpp:350] Iteration 1287 (8.42409 iter/s, 1.06837s/9 iter), 17.8/101.2ep, loss = 64.0497
I0622 17:48:40.785656  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.7948 (* 2 = 49.5895 loss)
I0622 17:48:40.785668  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.4601 (* 1 = 14.4601 loss)
I0622 17:48:40.785678  1019 sgd_solver.cpp:170] Iteration 1287, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:41.851023  1019 solver.cpp:350] Iteration 1296 (8.44769 iter/s, 1.06538s/9 iter), 18/101.2ep, loss = 242.78
I0622 17:48:41.851042  1019 solver.cpp:374]     Train net output #0: loss_bbox = 117.627 (* 2 = 235.254 loss)
I0622 17:48:41.851050  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.52547 (* 1 = 7.52547 loss)
I0622 17:48:41.851058  1019 sgd_solver.cpp:170] Iteration 1296, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:42.916209  1019 solver.cpp:350] Iteration 1305 (8.4493 iter/s, 1.06518s/9 iter), 18.1/101.2ep, loss = 7.93858
I0622 17:48:42.916229  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.70869 (* 2 = 5.41738 loss)
I0622 17:48:42.916236  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.5211 (* 1 = 2.5211 loss)
I0622 17:48:42.916244  1019 sgd_solver.cpp:170] Iteration 1305, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:43.865787  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1314.caffemodel
I0622 17:48:43.901795  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1314.solverstate
I0622 17:48:43.923529  1019 solver.cpp:516] Iteration 1314, Testing net (#0)
I0622 17:48:43.923691  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:43.955808  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:44.143998  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.2906 (* 2 = 42.5811 loss)
I0622 17:48:44.144018  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3074 (* 1 = 15.3074 loss)
I0622 17:48:44.144026  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:44.144032  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:44.144037  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:44.144059  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22785s
I0622 17:48:44.262926  1019 solver.cpp:350] Iteration 1314 (7.3299 iter/s, 1.22785s/9 iter), 18.2/101.2ep, loss = 51.0295
I0622 17:48:44.262944  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.1029 (* 2 = 36.2059 loss)
I0622 17:48:44.262953  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8235 (* 1 = 14.8235 loss)
I0622 17:48:44.262960  1019 sgd_solver.cpp:170] Iteration 1314, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:45.327756  1019 solver.cpp:350] Iteration 1323 (8.45209 iter/s, 1.06482s/9 iter), 18.3/101.2ep, loss = 11.9025
I0622 17:48:45.327775  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.94143 (* 2 = 7.88285 loss)
I0622 17:48:45.327783  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.01951 (* 1 = 4.01951 loss)
I0622 17:48:45.327790  1019 sgd_solver.cpp:170] Iteration 1323, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:46.393532  1019 solver.cpp:350] Iteration 1332 (8.44466 iter/s, 1.06576s/9 iter), 18.5/101.2ep, loss = 71.7427
I0622 17:48:46.393551  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.5793 (* 2 = 59.1586 loss)
I0622 17:48:46.393559  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.584 (* 1 = 12.584 loss)
I0622 17:48:46.393579  1019 sgd_solver.cpp:170] Iteration 1332, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:47.463819  1019 solver.cpp:350] Iteration 1341 (8.40904 iter/s, 1.07028s/9 iter), 18.6/101.2ep, loss = 40.7865
I0622 17:48:47.463868  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.2322 (* 2 = 32.4644 loss)
I0622 17:48:47.463886  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.32204 (* 1 = 8.32204 loss)
I0622 17:48:47.463896  1019 sgd_solver.cpp:170] Iteration 1341, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:47.464100  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:47.500999  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:48.534521  1019 solver.cpp:350] Iteration 1350 (8.4057 iter/s, 1.0707s/9 iter), 18.7/101.2ep, loss = 26.9309
I0622 17:48:48.534541  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.37271 (* 2 = 18.7454 loss)
I0622 17:48:48.534551  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.18536 (* 1 = 8.18536 loss)
I0622 17:48:48.534560  1019 sgd_solver.cpp:170] Iteration 1350, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:49.604879  1019 solver.cpp:350] Iteration 1359 (8.40848 iter/s, 1.07035s/9 iter), 18.8/101.2ep, loss = 28.9854
I0622 17:48:49.604902  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.82075 (* 2 = 19.6415 loss)
I0622 17:48:49.604912  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.34381 (* 1 = 9.34381 loss)
I0622 17:48:49.604921  1019 sgd_solver.cpp:170] Iteration 1359, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:50.673786  1019 solver.cpp:350] Iteration 1368 (8.41996 iter/s, 1.06889s/9 iter), 19/101.2ep, loss = 39.5636
I0622 17:48:50.673808  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5353 (* 2 = 31.0707 loss)
I0622 17:48:50.673817  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.49278 (* 1 = 8.49278 loss)
I0622 17:48:50.673825  1019 sgd_solver.cpp:170] Iteration 1368, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:51.740350  1019 solver.cpp:350] Iteration 1377 (8.43837 iter/s, 1.06656s/9 iter), 19.1/101.2ep, loss = 5.03296
I0622 17:48:51.740370  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.50951 (* 2 = 3.01901 loss)
I0622 17:48:51.740377  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.01384 (* 1 = 2.01384 loss)
I0622 17:48:51.740384  1019 sgd_solver.cpp:170] Iteration 1377, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:52.811714  1019 solver.cpp:350] Iteration 1386 (8.40058 iter/s, 1.07135s/9 iter), 19.2/101.2ep, loss = 69.1688
I0622 17:48:52.811733  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.7517 (* 2 = 49.5034 loss)
I0622 17:48:52.811743  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.6653 (* 1 = 19.6653 loss)
I0622 17:48:52.811753  1019 sgd_solver.cpp:170] Iteration 1386, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:52.811767  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1387.caffemodel
I0622 17:48:52.844943  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1387.solverstate
I0622 17:48:52.867374  1019 solver.cpp:516] Iteration 1387, Testing net (#0)
I0622 17:48:52.867539  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:52.898413  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:53.042402  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:53.072386  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:53.085777  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.1644 (* 2 = 42.3288 loss)
I0622 17:48:53.085793  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8612 (* 1 = 17.8612 loss)
I0622 17:48:53.085800  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:48:53.085806  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:48:53.085813  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:48:53.085839  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.274134s
I0622 17:48:54.154673  1019 solver.cpp:350] Iteration 1395 (32.8307 iter/s, 0.274134s/9 iter), 19.3/101.2ep, loss = 34.1893
I0622 17:48:54.154697  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.836 (* 2 = 25.672 loss)
I0622 17:48:54.154724  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.51717 (* 1 = 8.51717 loss)
I0622 17:48:54.154733  1019 sgd_solver.cpp:170] Iteration 1395, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:55.224572  1019 solver.cpp:350] Iteration 1404 (8.41208 iter/s, 1.06989s/9 iter), 19.5/101.2ep, loss = 56.265
I0622 17:48:55.224598  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.2351 (* 2 = 44.4701 loss)
I0622 17:48:55.224609  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.7948 (* 1 = 11.7948 loss)
I0622 17:48:55.224619  1019 sgd_solver.cpp:170] Iteration 1404, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:56.292014  1019 solver.cpp:350] Iteration 1413 (8.43152 iter/s, 1.06742s/9 iter), 19.6/101.2ep, loss = 34.8595
I0622 17:48:56.292034  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.4025 (* 2 = 24.8051 loss)
I0622 17:48:56.292045  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.0543 (* 1 = 10.0543 loss)
I0622 17:48:56.292054  1019 sgd_solver.cpp:170] Iteration 1413, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:56.648772  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:56.673077  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:48:57.359917  1019 solver.cpp:350] Iteration 1422 (8.42781 iter/s, 1.06789s/9 iter), 19.7/101.2ep, loss = 46.5362
I0622 17:48:57.359942  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.7914 (* 2 = 35.5828 loss)
I0622 17:48:57.359956  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.9533 (* 1 = 10.9533 loss)
I0622 17:48:57.359966  1019 sgd_solver.cpp:170] Iteration 1422, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:58.428673  1019 solver.cpp:350] Iteration 1431 (8.42102 iter/s, 1.06875s/9 iter), 19.8/101.2ep, loss = 41.517
I0622 17:48:58.428692  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.1671 (* 2 = 30.3343 loss)
I0622 17:48:58.428704  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.1826 (* 1 = 11.1826 loss)
I0622 17:48:58.428714  1019 sgd_solver.cpp:170] Iteration 1431, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:48:59.499456  1019 solver.cpp:350] Iteration 1440 (8.40517 iter/s, 1.07077s/9 iter), 20/101.2ep, loss = 41.2436
I0622 17:48:59.499475  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.1266 (* 2 = 34.2531 loss)
I0622 17:48:59.499486  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.99027 (* 1 = 6.99027 loss)
I0622 17:48:59.499495  1019 sgd_solver.cpp:170] Iteration 1440, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:00.569097  1019 solver.cpp:350] Iteration 1449 (8.41414 iter/s, 1.06963s/9 iter), 20.1/101.2ep, loss = 15.011
I0622 17:49:00.569118  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.98702 (* 2 = 9.97404 loss)
I0622 17:49:00.569128  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.03678 (* 1 = 5.03678 loss)
I0622 17:49:00.569136  1019 sgd_solver.cpp:170] Iteration 1449, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:01.639288  1019 solver.cpp:350] Iteration 1458 (8.4098 iter/s, 1.07018s/9 iter), 20.2/101.2ep, loss = 145.335
I0622 17:49:01.639313  1019 solver.cpp:374]     Train net output #0: loss_bbox = 60.6134 (* 2 = 121.227 loss)
I0622 17:49:01.639327  1019 solver.cpp:374]     Train net output #1: loss_coverage = 24.1079 (* 1 = 24.1079 loss)
I0622 17:49:01.639338  1019 sgd_solver.cpp:170] Iteration 1458, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:01.757799  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1460.caffemodel
I0622 17:49:01.790390  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1460.solverstate
I0622 17:49:01.810560  1019 solver.cpp:516] Iteration 1460, Testing net (#0)
I0622 17:49:01.986265  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:02.017105  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:02.029443  1019 solver.cpp:602]     Test net output #0: loss_bbox = 29.2566 (* 2 = 58.5133 loss)
I0622 17:49:02.029474  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.8985 (* 1 = 15.8985 loss)
I0622 17:49:02.029481  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:02.029487  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:02.029494  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:02.029515  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.390237s
I0622 17:49:02.977340  1019 solver.cpp:350] Iteration 1467 (23.0629 iter/s, 0.390237s/9 iter), 20.3/101.2ep, loss = 70.2869
I0622 17:49:02.977360  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.6034 (* 2 = 55.2069 loss)
I0622 17:49:02.977368  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.0799 (* 1 = 15.0799 loss)
I0622 17:49:02.977378  1019 sgd_solver.cpp:170] Iteration 1467, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:04.042753  1019 solver.cpp:350] Iteration 1476 (8.44751 iter/s, 1.0654s/9 iter), 20.5/101.2ep, loss = 56.996
I0622 17:49:04.042773  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.0747 (* 2 = 48.1494 loss)
I0622 17:49:04.042781  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.84648 (* 1 = 8.84648 loss)
I0622 17:49:04.042790  1019 sgd_solver.cpp:170] Iteration 1476, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:05.108253  1019 solver.cpp:350] Iteration 1485 (8.4468 iter/s, 1.06549s/9 iter), 20.6/101.2ep, loss = 38.2664
I0622 17:49:05.108271  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.2969 (* 2 = 28.5937 loss)
I0622 17:49:05.108279  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.67258 (* 1 = 9.67258 loss)
I0622 17:49:05.108286  1019 sgd_solver.cpp:170] Iteration 1485, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:05.465179  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:05.504642  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:06.178807  1019 solver.cpp:350] Iteration 1494 (8.40697 iter/s, 1.07054s/9 iter), 20.7/101.2ep, loss = 84.3793
I0622 17:49:06.178825  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.5219 (* 2 = 65.0438 loss)
I0622 17:49:06.178836  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.3354 (* 1 = 19.3354 loss)
I0622 17:49:06.178845  1019 sgd_solver.cpp:170] Iteration 1494, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:07.249850  1019 solver.cpp:350] Iteration 1503 (8.40311 iter/s, 1.07103s/9 iter), 20.8/101.2ep, loss = 55.5942
I0622 17:49:07.249868  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.461 (* 2 = 40.922 loss)
I0622 17:49:07.249876  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.6721 (* 1 = 14.6721 loss)
I0622 17:49:07.249884  1019 sgd_solver.cpp:170] Iteration 1503, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:08.318666  1019 solver.cpp:350] Iteration 1512 (8.42059 iter/s, 1.06881s/9 iter), 21/101.2ep, loss = 20.3482
I0622 17:49:08.318686  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.5874 (* 2 = 15.1748 loss)
I0622 17:49:08.318693  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.17324 (* 1 = 5.17324 loss)
I0622 17:49:08.318701  1019 sgd_solver.cpp:170] Iteration 1512, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:09.388859  1019 solver.cpp:350] Iteration 1521 (8.40979 iter/s, 1.07018s/9 iter), 21.1/101.2ep, loss = 22.4363
I0622 17:49:09.388878  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.55014 (* 2 = 15.1003 loss)
I0622 17:49:09.388886  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.33586 (* 1 = 7.33586 loss)
I0622 17:49:09.388893  1019 sgd_solver.cpp:170] Iteration 1521, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:10.456571  1019 solver.cpp:350] Iteration 1530 (8.4293 iter/s, 1.0677s/9 iter), 21.2/101.2ep, loss = 74.259
I0622 17:49:10.456590  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.4603 (* 2 = 60.9205 loss)
I0622 17:49:10.456601  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.3382 (* 1 = 13.3382 loss)
I0622 17:49:10.456622  1019 sgd_solver.cpp:170] Iteration 1530, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:10.692793  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1533.caffemodel
I0622 17:49:10.725260  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1533.solverstate
I0622 17:49:10.746479  1019 solver.cpp:516] Iteration 1533, Testing net (#0)
I0622 17:49:10.878216  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:10.908923  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:10.965615  1019 solver.cpp:602]     Test net output #0: loss_bbox = 24.9956 (* 2 = 49.9912 loss)
I0622 17:49:10.965634  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0961 (* 1 = 19.0961 loss)
I0622 17:49:10.965641  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:10.965647  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:10.965653  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:10.965673  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.509109s
I0622 17:49:11.795248  1019 solver.cpp:350] Iteration 1539 (17.6779 iter/s, 0.509109s/9 iter), 21.3/101.2ep, loss = 58.7158
I0622 17:49:11.795267  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.8581 (* 2 = 43.7162 loss)
I0622 17:49:11.795275  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9993 (* 1 = 14.9993 loss)
I0622 17:49:11.795284  1019 sgd_solver.cpp:170] Iteration 1539, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:12.862277  1019 solver.cpp:350] Iteration 1548 (8.4347 iter/s, 1.06702s/9 iter), 21.5/101.2ep, loss = 0.0166016
I0622 17:49:12.862296  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:49:12.862306  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0162747 (* 1 = 0.0162747 loss)
I0622 17:49:12.862314  1019 sgd_solver.cpp:170] Iteration 1548, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:13.932128  1019 solver.cpp:350] Iteration 1557 (8.41244 iter/s, 1.06984s/9 iter), 21.6/101.2ep, loss = 26.4157
I0622 17:49:13.932152  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.45559 (* 2 = 18.9112 loss)
I0622 17:49:13.932162  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.50419 (* 1 = 7.50419 loss)
I0622 17:49:13.932168  1019 sgd_solver.cpp:170] Iteration 1557, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:14.287591  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:14.323413  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:14.999943  1019 solver.cpp:350] Iteration 1566 (8.42848 iter/s, 1.06781s/9 iter), 21.7/101.2ep, loss = 49.7016
I0622 17:49:14.999964  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.0153 (* 2 = 38.0305 loss)
I0622 17:49:14.999976  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.6707 (* 1 = 11.6707 loss)
I0622 17:49:14.999985  1019 sgd_solver.cpp:170] Iteration 1566, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:16.140414  1019 solver.cpp:350] Iteration 1575 (7.89161 iter/s, 1.14045s/9 iter), 21.8/101.2ep, loss = 46.484
I0622 17:49:16.140436  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.6576 (* 2 = 35.3153 loss)
I0622 17:49:16.140445  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.1684 (* 1 = 11.1684 loss)
I0622 17:49:16.140452  1019 sgd_solver.cpp:170] Iteration 1575, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:17.216290  1019 solver.cpp:350] Iteration 1584 (8.36533 iter/s, 1.07587s/9 iter), 21.9/101.2ep, loss = 49.7734
I0622 17:49:17.216311  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.8053 (* 2 = 41.6107 loss)
I0622 17:49:17.216320  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16237 (* 1 = 8.16237 loss)
I0622 17:49:17.216328  1019 sgd_solver.cpp:170] Iteration 1584, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:18.305027  1019 solver.cpp:350] Iteration 1593 (8.26647 iter/s, 1.08874s/9 iter), 22.1/101.2ep, loss = 28.6487
I0622 17:49:18.305124  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.4079 (* 2 = 20.8157 loss)
I0622 17:49:18.305133  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.83265 (* 1 = 7.83265 loss)
I0622 17:49:18.305141  1019 sgd_solver.cpp:170] Iteration 1593, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:19.389550  1019 solver.cpp:350] Iteration 1602 (8.29863 iter/s, 1.08452s/9 iter), 22.2/101.2ep, loss = 78.0762
I0622 17:49:19.389572  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.0469 (* 2 = 60.0938 loss)
I0622 17:49:19.389581  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.9821 (* 1 = 17.9821 loss)
I0622 17:49:19.389588  1019 sgd_solver.cpp:170] Iteration 1602, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:19.746393  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1606.caffemodel
I0622 17:49:19.779242  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1606.solverstate
I0622 17:49:19.800072  1019 solver.cpp:516] Iteration 1606, Testing net (#0)
I0622 17:49:19.930675  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:19.961840  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:20.017530  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.145 (* 2 = 34.2899 loss)
I0622 17:49:20.017547  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7981 (* 1 = 13.7981 loss)
I0622 17:49:20.017558  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:20.017565  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:20.017570  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:20.017592  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.628044s
I0622 17:49:20.733225  1019 solver.cpp:350] Iteration 1611 (14.3302 iter/s, 0.628044s/9 iter), 22.3/101.2ep, loss = 46.2038
I0622 17:49:20.733248  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.1852 (* 2 = 32.3703 loss)
I0622 17:49:20.733259  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.8332 (* 1 = 13.8332 loss)
I0622 17:49:20.733269  1019 sgd_solver.cpp:170] Iteration 1611, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:21.802054  1019 solver.cpp:350] Iteration 1620 (8.4205 iter/s, 1.06882s/9 iter), 22.4/101.2ep, loss = 11.1393
I0622 17:49:21.802073  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.9023 (* 2 = 7.80461 loss)
I0622 17:49:21.802080  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.33438 (* 1 = 3.33438 loss)
I0622 17:49:21.802088  1019 sgd_solver.cpp:170] Iteration 1620, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:22.872680  1019 solver.cpp:350] Iteration 1629 (8.40642 iter/s, 1.07061s/9 iter), 22.6/101.2ep, loss = 0.00607491
I0622 17:49:22.872700  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:49:22.872709  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00573937 (* 1 = 0.00573937 loss)
I0622 17:49:22.872716  1019 sgd_solver.cpp:170] Iteration 1629, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:23.230496  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:23.261194  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:23.942674  1019 solver.cpp:350] Iteration 1638 (8.41132 iter/s, 1.06999s/9 iter), 22.7/101.2ep, loss = 53.6756
I0622 17:49:23.942694  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.677 (* 2 = 43.3539 loss)
I0622 17:49:23.942703  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3214 (* 1 = 10.3214 loss)
I0622 17:49:23.942711  1019 sgd_solver.cpp:170] Iteration 1638, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:25.009027  1019 solver.cpp:350] Iteration 1647 (8.44007 iter/s, 1.06634s/9 iter), 22.8/101.2ep, loss = 35.7008
I0622 17:49:25.009047  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.3533 (* 2 = 26.7065 loss)
I0622 17:49:25.009058  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99401 (* 1 = 8.99401 loss)
I0622 17:49:25.009068  1019 sgd_solver.cpp:170] Iteration 1647, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:26.079382  1019 solver.cpp:350] Iteration 1656 (8.4085 iter/s, 1.07035s/9 iter), 22.9/101.2ep, loss = 45.0455
I0622 17:49:26.079402  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.6194 (* 2 = 37.2387 loss)
I0622 17:49:26.079411  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.80644 (* 1 = 7.80644 loss)
I0622 17:49:26.079421  1019 sgd_solver.cpp:170] Iteration 1656, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:27.148231  1019 solver.cpp:350] Iteration 1665 (8.42032 iter/s, 1.06884s/9 iter), 23.1/101.2ep, loss = 32.1902
I0622 17:49:27.148252  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.51 (* 2 = 25.0201 loss)
I0622 17:49:27.148259  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.16977 (* 1 = 7.16977 loss)
I0622 17:49:27.148267  1019 sgd_solver.cpp:170] Iteration 1665, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:28.214674  1019 solver.cpp:350] Iteration 1674 (8.4393 iter/s, 1.06644s/9 iter), 23.2/101.2ep, loss = 53.9412
I0622 17:49:28.214694  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.4733 (* 2 = 42.9466 loss)
I0622 17:49:28.214702  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.9943 (* 1 = 10.9943 loss)
I0622 17:49:28.214710  1019 sgd_solver.cpp:170] Iteration 1674, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:28.689110  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1679.caffemodel
I0622 17:49:28.722028  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1679.solverstate
I0622 17:49:28.744060  1019 solver.cpp:516] Iteration 1679, Testing net (#0)
I0622 17:49:28.831955  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:28.868430  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:28.962662  1019 solver.cpp:602]     Test net output #0: loss_bbox = 26.6796 (* 2 = 53.3592 loss)
I0622 17:49:28.962682  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4871 (* 1 = 19.4871 loss)
I0622 17:49:28.962688  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:28.962694  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:28.962700  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:28.962723  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.748049s
I0622 17:49:29.557374  1019 solver.cpp:350] Iteration 1683 (12.0313 iter/s, 0.748049s/9 iter), 23.3/101.2ep, loss = 47.752
I0622 17:49:29.557392  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.7223 (* 2 = 35.4446 loss)
I0622 17:49:29.557400  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.3071 (* 1 = 12.3071 loss)
I0622 17:49:29.557409  1019 sgd_solver.cpp:170] Iteration 1683, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:30.624413  1019 solver.cpp:350] Iteration 1692 (8.43462 iter/s, 1.06703s/9 iter), 23.4/101.2ep, loss = 31.9681
I0622 17:49:30.624433  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.3198 (* 2 = 24.6397 loss)
I0622 17:49:30.624441  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.32811 (* 1 = 7.32811 loss)
I0622 17:49:30.624449  1019 sgd_solver.cpp:170] Iteration 1692, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:31.689496  1019 solver.cpp:350] Iteration 1701 (8.45011 iter/s, 1.06507s/9 iter), 23.6/101.2ep, loss = 3.58937
I0622 17:49:31.689515  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.29283 (* 2 = 2.58565 loss)
I0622 17:49:31.689523  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.00338 (* 1 = 1.00338 loss)
I0622 17:49:31.689530  1019 sgd_solver.cpp:170] Iteration 1701, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:32.044837  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:32.074272  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:32.758611  1019 solver.cpp:350] Iteration 1710 (8.41833 iter/s, 1.0691s/9 iter), 23.7/101.2ep, loss = 46.9199
I0622 17:49:32.758653  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.8875 (* 2 = 37.775 loss)
I0622 17:49:32.758663  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.14457 (* 1 = 9.14457 loss)
I0622 17:49:32.758672  1019 sgd_solver.cpp:170] Iteration 1710, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:33.888507  1019 solver.cpp:350] Iteration 1719 (7.96541 iter/s, 1.12988s/9 iter), 23.8/101.2ep, loss = 22.4946
I0622 17:49:33.888528  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.41357 (* 2 = 18.8271 loss)
I0622 17:49:33.888537  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.66714 (* 1 = 3.66714 loss)
I0622 17:49:33.888545  1019 sgd_solver.cpp:170] Iteration 1719, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:34.969841  1019 solver.cpp:350] Iteration 1728 (8.32312 iter/s, 1.08133s/9 iter), 23.9/101.2ep, loss = 80.1608
I0622 17:49:34.969863  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.9189 (* 2 = 65.8379 loss)
I0622 17:49:34.969872  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.3226 (* 1 = 14.3226 loss)
I0622 17:49:34.969880  1019 sgd_solver.cpp:170] Iteration 1728, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:36.054455  1019 solver.cpp:350] Iteration 1737 (8.29791 iter/s, 1.08461s/9 iter), 24.1/101.2ep, loss = 11.4194
I0622 17:49:36.054474  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.87562 (* 2 = 9.75124 loss)
I0622 17:49:36.054482  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.66777 (* 1 = 1.66777 loss)
I0622 17:49:36.054489  1019 sgd_solver.cpp:170] Iteration 1737, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:37.120110  1019 solver.cpp:350] Iteration 1746 (8.44558 iter/s, 1.06565s/9 iter), 24.2/101.2ep, loss = 29.674
I0622 17:49:37.120128  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.3373 (* 2 = 20.6746 loss)
I0622 17:49:37.120137  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99897 (* 1 = 8.99897 loss)
I0622 17:49:37.120144  1019 sgd_solver.cpp:170] Iteration 1746, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:37.711357  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1752.caffemodel
I0622 17:49:37.743839  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1752.solverstate
I0622 17:49:37.764271  1019 solver.cpp:516] Iteration 1752, Testing net (#0)
I0622 17:49:37.852972  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:37.883682  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:37.982933  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.7327 (* 2 = 39.4654 loss)
I0622 17:49:37.982954  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7976 (* 1 = 15.7976 loss)
I0622 17:49:37.982960  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:37.982966  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:37.982971  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:37.982995  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.862891s
I0622 17:49:38.455009  1019 solver.cpp:350] Iteration 1755 (10.4301 iter/s, 0.862891s/9 iter), 24.3/101.2ep, loss = 31.0653
I0622 17:49:38.455029  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.1994 (* 2 = 24.3988 loss)
I0622 17:49:38.455036  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.66613 (* 1 = 6.66613 loss)
I0622 17:49:38.455044  1019 sgd_solver.cpp:170] Iteration 1755, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:39.517690  1019 solver.cpp:350] Iteration 1764 (8.46921 iter/s, 1.06267s/9 iter), 24.4/101.2ep, loss = 66.8258
I0622 17:49:39.517710  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.7494 (* 2 = 49.4987 loss)
I0622 17:49:39.517719  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.3267 (* 1 = 17.3267 loss)
I0622 17:49:39.517725  1019 sgd_solver.cpp:170] Iteration 1764, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:40.581606  1019 solver.cpp:350] Iteration 1773 (8.45937 iter/s, 1.06391s/9 iter), 24.6/101.2ep, loss = 5.98662
I0622 17:49:40.581643  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.99257 (* 2 = 3.98514 loss)
I0622 17:49:40.581651  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.0011 (* 1 = 2.0011 loss)
I0622 17:49:40.581665  1019 sgd_solver.cpp:170] Iteration 1773, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:40.936054  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:40.965796  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:41.648548  1019 solver.cpp:350] Iteration 1782 (8.43539 iter/s, 1.06693s/9 iter), 24.7/101.2ep, loss = 30.584
I0622 17:49:41.648567  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.8782 (* 2 = 23.7564 loss)
I0622 17:49:41.648576  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.82728 (* 1 = 6.82728 loss)
I0622 17:49:41.648583  1019 sgd_solver.cpp:170] Iteration 1782, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:42.723182  1019 solver.cpp:350] Iteration 1791 (8.37501 iter/s, 1.07463s/9 iter), 24.8/101.2ep, loss = 50.0257
I0622 17:49:42.723201  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.4337 (* 2 = 42.8674 loss)
I0622 17:49:42.723209  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.15787 (* 1 = 7.15787 loss)
I0622 17:49:42.723217  1019 sgd_solver.cpp:170] Iteration 1791, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:43.793670  1019 solver.cpp:350] Iteration 1800 (8.40746 iter/s, 1.07048s/9 iter), 24.9/101.2ep, loss = 53.5792
I0622 17:49:43.793689  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.7933 (* 2 = 41.5867 loss)
I0622 17:49:43.793699  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9922 (* 1 = 11.9922 loss)
I0622 17:49:43.793709  1019 sgd_solver.cpp:170] Iteration 1800, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:44.861465  1019 solver.cpp:350] Iteration 1809 (8.42864 iter/s, 1.06779s/9 iter), 25.1/101.2ep, loss = 9.99845
I0622 17:49:44.861485  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.9989 (* 2 = 7.9978 loss)
I0622 17:49:44.861493  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.99849 (* 1 = 1.99849 loss)
I0622 17:49:44.861500  1019 sgd_solver.cpp:170] Iteration 1809, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:45.931443  1019 solver.cpp:350] Iteration 1818 (8.4114 iter/s, 1.06998s/9 iter), 25.2/101.2ep, loss = 13.1552
I0622 17:49:45.931464  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.73184 (* 2 = 9.46368 loss)
I0622 17:49:45.931475  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.6894 (* 1 = 3.6894 loss)
I0622 17:49:45.931485  1019 sgd_solver.cpp:170] Iteration 1818, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:46.644634  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1825.caffemodel
I0622 17:49:46.676760  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1825.solverstate
I0622 17:49:46.697438  1019 solver.cpp:516] Iteration 1825, Testing net (#0)
I0622 17:49:46.741950  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:46.772716  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:46.917441  1019 solver.cpp:602]     Test net output #0: loss_bbox = 27.0556 (* 2 = 54.1113 loss)
I0622 17:49:46.917461  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.3729 (* 1 = 18.3729 loss)
I0622 17:49:46.917469  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:46.917474  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:46.917480  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:46.917501  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.986059s
I0622 17:49:47.275044  1019 solver.cpp:350] Iteration 1827 (9.12724 iter/s, 0.986059s/9 iter), 25.3/101.2ep, loss = 19.6896
I0622 17:49:47.275063  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.32989 (* 2 = 16.6598 loss)
I0622 17:49:47.275074  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.02763 (* 1 = 3.02763 loss)
I0622 17:49:47.275097  1019 sgd_solver.cpp:170] Iteration 1827, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:48.348564  1019 solver.cpp:350] Iteration 1836 (8.38363 iter/s, 1.07352s/9 iter), 25.4/101.2ep, loss = 53.6644
I0622 17:49:48.348646  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.4783 (* 2 = 40.9566 loss)
I0622 17:49:48.348659  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.7056 (* 1 = 12.7056 loss)
I0622 17:49:48.348668  1019 sgd_solver.cpp:170] Iteration 1836, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:49.423923  1019 solver.cpp:350] Iteration 1845 (8.36937 iter/s, 1.07535s/9 iter), 25.6/101.2ep, loss = 21.6857
I0622 17:49:49.423943  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.00228 (* 2 = 16.0046 loss)
I0622 17:49:49.423950  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.67896 (* 1 = 5.67896 loss)
I0622 17:49:49.423957  1019 sgd_solver.cpp:170] Iteration 1845, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:49.782246  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:49.812320  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:50.500607  1019 solver.cpp:350] Iteration 1854 (8.35906 iter/s, 1.07668s/9 iter), 25.7/101.2ep, loss = 37.879
I0622 17:49:50.500625  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.6016 (* 2 = 29.2031 loss)
I0622 17:49:50.500633  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.67368 (* 1 = 8.67368 loss)
I0622 17:49:50.500641  1019 sgd_solver.cpp:170] Iteration 1854, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:51.574445  1019 solver.cpp:350] Iteration 1863 (8.38122 iter/s, 1.07383s/9 iter), 25.8/101.2ep, loss = 49.101
I0622 17:49:51.574463  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.4663 (* 2 = 38.9326 loss)
I0622 17:49:51.574472  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1662 (* 1 = 10.1662 loss)
I0622 17:49:51.574479  1019 sgd_solver.cpp:170] Iteration 1863, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:52.646070  1019 solver.cpp:350] Iteration 1872 (8.39851 iter/s, 1.07162s/9 iter), 25.9/101.2ep, loss = 104.185
I0622 17:49:52.646090  1019 solver.cpp:374]     Train net output #0: loss_bbox = 38.5904 (* 2 = 77.1809 loss)
I0622 17:49:52.646097  1019 solver.cpp:374]     Train net output #1: loss_coverage = 27.0015 (* 1 = 27.0015 loss)
I0622 17:49:52.646104  1019 sgd_solver.cpp:170] Iteration 1872, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:53.719086  1019 solver.cpp:350] Iteration 1881 (8.38763 iter/s, 1.07301s/9 iter), 26.1/101.2ep, loss = 32.0814
I0622 17:49:53.719106  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.0347 (* 2 = 24.0695 loss)
I0622 17:49:53.719115  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.00968 (* 1 = 8.00968 loss)
I0622 17:49:53.719121  1019 sgd_solver.cpp:170] Iteration 1881, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:54.791923  1019 solver.cpp:350] Iteration 1890 (8.38906 iter/s, 1.07283s/9 iter), 26.2/101.2ep, loss = 38.6577
I0622 17:49:54.791942  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.08 (* 2 = 32.16 loss)
I0622 17:49:54.791951  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.4954 (* 1 = 6.4954 loss)
I0622 17:49:54.791957  1019 sgd_solver.cpp:170] Iteration 1890, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:55.627528  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1898.caffemodel
I0622 17:49:55.661135  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1898.solverstate
I0622 17:49:55.683504  1019 solver.cpp:516] Iteration 1898, Testing net (#0)
I0622 17:49:55.726974  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:55.758266  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:55.901525  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.1305 (* 2 = 36.261 loss)
I0622 17:49:55.901547  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1336 (* 1 = 17.1336 loss)
I0622 17:49:55.901554  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:49:55.901561  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:49:55.901566  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:49:55.901599  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.10968s
I0622 17:49:56.138944  1019 solver.cpp:350] Iteration 1899 (8.11044 iter/s, 1.10968s/9 iter), 26.3/101.2ep, loss = 0.0180445
I0622 17:49:56.138963  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:49:56.138972  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0158628 (* 1 = 0.0158628 loss)
I0622 17:49:56.138979  1019 sgd_solver.cpp:170] Iteration 1899, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:57.208603  1019 solver.cpp:350] Iteration 1908 (8.41396 iter/s, 1.06965s/9 iter), 26.4/101.2ep, loss = 30.3653
I0622 17:49:57.208623  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.6695 (* 2 = 21.3389 loss)
I0622 17:49:57.208633  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.0242 (* 1 = 9.0242 loss)
I0622 17:49:57.208642  1019 sgd_solver.cpp:170] Iteration 1908, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:58.281301  1019 solver.cpp:350] Iteration 1917 (8.39012 iter/s, 1.07269s/9 iter), 26.6/101.2ep, loss = 24.4247
I0622 17:49:58.281321  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.12325 (* 2 = 18.2465 loss)
I0622 17:49:58.281328  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.17601 (* 1 = 6.17601 loss)
I0622 17:49:58.281337  1019 sgd_solver.cpp:170] Iteration 1917, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:49:58.639113  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:58.670013  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:49:59.353188  1019 solver.cpp:350] Iteration 1926 (8.39642 iter/s, 1.07189s/9 iter), 26.7/101.2ep, loss = 49.5475
I0622 17:49:59.353211  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.754 (* 2 = 37.5081 loss)
I0622 17:49:59.353222  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.0372 (* 1 = 12.0372 loss)
I0622 17:49:59.353233  1019 sgd_solver.cpp:170] Iteration 1926, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:00.422746  1019 solver.cpp:350] Iteration 1935 (8.41476 iter/s, 1.06955s/9 iter), 26.8/101.2ep, loss = 35.7505
I0622 17:50:00.422765  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.7871 (* 2 = 25.5742 loss)
I0622 17:50:00.422773  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1741 (* 1 = 10.1741 loss)
I0622 17:50:00.422781  1019 sgd_solver.cpp:170] Iteration 1935, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:01.493762  1019 solver.cpp:350] Iteration 1944 (8.40334 iter/s, 1.071s/9 iter), 26.9/101.2ep, loss = 85.8275
I0622 17:50:01.493782  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.2454 (* 2 = 64.4908 loss)
I0622 17:50:01.493790  1019 solver.cpp:374]     Train net output #1: loss_coverage = 21.3345 (* 1 = 21.3345 loss)
I0622 17:50:01.493798  1019 sgd_solver.cpp:170] Iteration 1944, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:02.564249  1019 solver.cpp:350] Iteration 1953 (8.40746 iter/s, 1.07048s/9 iter), 27.1/101.2ep, loss = 27.039
I0622 17:50:02.564268  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.0992 (* 2 = 20.1984 loss)
I0622 17:50:02.564277  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.83843 (* 1 = 6.83843 loss)
I0622 17:50:02.564286  1019 sgd_solver.cpp:170] Iteration 1953, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:03.634366  1019 solver.cpp:350] Iteration 1962 (8.41036 iter/s, 1.07011s/9 iter), 27.2/101.2ep, loss = 38.5491
I0622 17:50:03.634385  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.1893 (* 2 = 30.3787 loss)
I0622 17:50:03.634393  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16823 (* 1 = 8.16823 loss)
I0622 17:50:03.634400  1019 sgd_solver.cpp:170] Iteration 1962, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:04.589548  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_1971.caffemodel
I0622 17:50:04.622212  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_1971.solverstate
I0622 17:50:04.642890  1019 solver.cpp:516] Iteration 1971, Testing net (#0)
I0622 17:50:04.643025  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:04.679091  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:04.863026  1019 solver.cpp:602]     Test net output #0: loss_bbox = 24.9519 (* 2 = 49.9039 loss)
I0622 17:50:04.863044  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.2508 (* 1 = 15.2508 loss)
I0622 17:50:04.863051  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:04.863059  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:04.863063  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:04.863085  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22873s
I0622 17:50:04.982631  1019 solver.cpp:350] Iteration 1971 (7.32465 iter/s, 1.22873s/9 iter), 27.3/101.2ep, loss = 0.0395412
I0622 17:50:04.982650  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:50:04.982658  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0373819 (* 1 = 0.0373819 loss)
I0622 17:50:04.982666  1019 sgd_solver.cpp:170] Iteration 1971, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:06.053171  1019 solver.cpp:350] Iteration 1980 (8.40705 iter/s, 1.07053s/9 iter), 27.4/101.2ep, loss = 27.4904
I0622 17:50:06.053191  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.8581 (* 2 = 21.7163 loss)
I0622 17:50:06.053200  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.77198 (* 1 = 5.77198 loss)
I0622 17:50:06.053206  1019 sgd_solver.cpp:170] Iteration 1980, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:07.121086  1019 solver.cpp:350] Iteration 1989 (8.42769 iter/s, 1.06791s/9 iter), 27.6/101.2ep, loss = 36.5423
I0622 17:50:07.121111  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.7875 (* 2 = 27.575 loss)
I0622 17:50:07.121119  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.96514 (* 1 = 8.96514 loss)
I0622 17:50:07.121126  1019 sgd_solver.cpp:170] Iteration 1989, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:07.477115  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:07.516978  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:08.188478  1019 solver.cpp:350] Iteration 1998 (8.43184 iter/s, 1.06738s/9 iter), 27.7/101.2ep, loss = 76.1572
I0622 17:50:08.188498  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.0254 (* 2 = 58.0509 loss)
I0622 17:50:08.188506  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.1041 (* 1 = 18.1041 loss)
I0622 17:50:08.188513  1019 sgd_solver.cpp:170] Iteration 1998, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:09.255820  1019 solver.cpp:350] Iteration 2007 (8.43223 iter/s, 1.06733s/9 iter), 27.8/101.2ep, loss = 47.3487
I0622 17:50:09.255838  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.0942 (* 2 = 32.1884 loss)
I0622 17:50:09.255847  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.1582 (* 1 = 15.1582 loss)
I0622 17:50:09.255856  1019 sgd_solver.cpp:170] Iteration 2007, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:10.328078  1019 solver.cpp:350] Iteration 2016 (8.39352 iter/s, 1.07226s/9 iter), 27.9/101.2ep, loss = 83.3872
I0622 17:50:10.328096  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.787 (* 2 = 61.574 loss)
I0622 17:50:10.328104  1019 solver.cpp:374]     Train net output #1: loss_coverage = 21.8111 (* 1 = 21.8111 loss)
I0622 17:50:10.328111  1019 sgd_solver.cpp:170] Iteration 2016, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:11.394242  1019 solver.cpp:350] Iteration 2025 (8.44155 iter/s, 1.06616s/9 iter), 28.1/101.2ep, loss = 35.7128
I0622 17:50:11.394264  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.9435 (* 2 = 27.8869 loss)
I0622 17:50:11.394276  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.82379 (* 1 = 7.82379 loss)
I0622 17:50:11.394285  1019 sgd_solver.cpp:170] Iteration 2025, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:12.460206  1019 solver.cpp:350] Iteration 2034 (8.44316 iter/s, 1.06595s/9 iter), 28.2/101.2ep, loss = 37.1629
I0622 17:50:12.460238  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8307 (* 2 = 27.6614 loss)
I0622 17:50:12.460247  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.49937 (* 1 = 9.49937 loss)
I0622 17:50:12.460253  1019 sgd_solver.cpp:170] Iteration 2034, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:13.527273  1019 solver.cpp:350] Iteration 2043 (8.43438 iter/s, 1.06706s/9 iter), 28.3/101.2ep, loss = 2.88334
I0622 17:50:13.527292  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.770973 (* 2 = 1.54195 loss)
I0622 17:50:13.527300  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.33926 (* 1 = 1.33926 loss)
I0622 17:50:13.527307  1019 sgd_solver.cpp:170] Iteration 2043, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:13.527318  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2044.caffemodel
I0622 17:50:13.559993  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2044.solverstate
I0622 17:50:13.580528  1019 solver.cpp:516] Iteration 2044, Testing net (#0)
I0622 17:50:13.580660  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:13.621318  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:13.756572  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:13.786386  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:13.799679  1019 solver.cpp:602]     Test net output #0: loss_bbox = 20.2573 (* 2 = 40.5146 loss)
I0622 17:50:13.799695  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8632 (* 1 = 17.8632 loss)
I0622 17:50:13.799702  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:13.799708  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:13.799715  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:13.799737  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.272471s
I0622 17:50:14.863759  1019 solver.cpp:350] Iteration 2052 (33.0311 iter/s, 0.272471s/9 iter), 28.4/101.2ep, loss = 38.4789
I0622 17:50:14.863780  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.7391 (* 2 = 27.4782 loss)
I0622 17:50:14.863787  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.9985 (* 1 = 10.9985 loss)
I0622 17:50:14.863796  1019 sgd_solver.cpp:170] Iteration 2052, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:15.929666  1019 solver.cpp:350] Iteration 2061 (8.44358 iter/s, 1.0659s/9 iter), 28.6/101.2ep, loss = 101.19
I0622 17:50:15.929685  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.3428 (* 2 = 70.6857 loss)
I0622 17:50:15.929694  1019 solver.cpp:374]     Train net output #1: loss_coverage = 30.5021 (* 1 = 30.5021 loss)
I0622 17:50:15.929703  1019 sgd_solver.cpp:170] Iteration 2061, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:16.285120  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:16.315160  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:16.994302  1019 solver.cpp:350] Iteration 2070 (8.45367 iter/s, 1.06463s/9 iter), 28.7/101.2ep, loss = 75.0856
I0622 17:50:16.994323  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.0685 (* 2 = 56.137 loss)
I0622 17:50:16.994331  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.9465 (* 1 = 18.9465 loss)
I0622 17:50:16.994340  1019 sgd_solver.cpp:170] Iteration 2070, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:18.060434  1019 solver.cpp:350] Iteration 2079 (8.44174 iter/s, 1.06613s/9 iter), 28.8/101.2ep, loss = 74.2449
I0622 17:50:18.060454  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.7204 (* 2 = 53.4408 loss)
I0622 17:50:18.060465  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.802 (* 1 = 20.802 loss)
I0622 17:50:18.060474  1019 sgd_solver.cpp:170] Iteration 2079, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:19.136433  1019 solver.cpp:350] Iteration 2088 (8.36443 iter/s, 1.07599s/9 iter), 28.9/101.2ep, loss = 56.7696
I0622 17:50:19.136588  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.7244 (* 2 = 39.4489 loss)
I0622 17:50:19.136602  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.3186 (* 1 = 17.3186 loss)
I0622 17:50:19.136611  1019 sgd_solver.cpp:170] Iteration 2088, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:20.206588  1019 solver.cpp:350] Iteration 2097 (8.41007 iter/s, 1.07015s/9 iter), 29.1/101.2ep, loss = 3.36147
I0622 17:50:20.206607  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.17529 (* 2 = 2.35058 loss)
I0622 17:50:20.206616  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.00878 (* 1 = 1.00878 loss)
I0622 17:50:20.206625  1019 sgd_solver.cpp:170] Iteration 2097, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:21.274364  1019 solver.cpp:350] Iteration 2106 (8.42879 iter/s, 1.06777s/9 iter), 29.2/101.2ep, loss = 12.3894
I0622 17:50:21.274386  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.85224 (* 2 = 7.70448 loss)
I0622 17:50:21.274397  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.68282 (* 1 = 4.68282 loss)
I0622 17:50:21.274406  1019 sgd_solver.cpp:170] Iteration 2106, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:22.341809  1019 solver.cpp:350] Iteration 2115 (8.43139 iter/s, 1.06744s/9 iter), 29.3/101.2ep, loss = 8.73102
I0622 17:50:22.341827  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.68993 (* 2 = 5.37986 loss)
I0622 17:50:22.341835  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.34906 (* 1 = 3.34906 loss)
I0622 17:50:22.341845  1019 sgd_solver.cpp:170] Iteration 2115, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:22.460556  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2117.caffemodel
I0622 17:50:22.493405  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2117.solverstate
I0622 17:50:22.515338  1019 solver.cpp:516] Iteration 2117, Testing net (#0)
I0622 17:50:22.689934  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:22.720620  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:22.733270  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.2047 (* 2 = 38.4094 loss)
I0622 17:50:22.733289  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0337 (* 1 = 16.0337 loss)
I0622 17:50:22.733295  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:22.733301  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:22.733307  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:22.733327  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.391527s
I0622 17:50:23.682109  1019 solver.cpp:350] Iteration 2124 (22.9869 iter/s, 0.391527s/9 iter), 29.4/101.2ep, loss = 78.0044
I0622 17:50:23.682133  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.332 (* 2 = 52.6641 loss)
I0622 17:50:23.682145  1019 solver.cpp:374]     Train net output #1: loss_coverage = 25.3382 (* 1 = 25.3382 loss)
I0622 17:50:23.682155  1019 sgd_solver.cpp:170] Iteration 2124, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:24.753801  1019 solver.cpp:350] Iteration 2133 (8.39804 iter/s, 1.07168s/9 iter), 29.6/101.2ep, loss = 137.349
I0622 17:50:24.753820  1019 solver.cpp:374]     Train net output #0: loss_bbox = 48.6802 (* 2 = 97.3604 loss)
I0622 17:50:24.753829  1019 solver.cpp:374]     Train net output #1: loss_coverage = 39.9861 (* 1 = 39.9861 loss)
I0622 17:50:24.753836  1019 sgd_solver.cpp:170] Iteration 2133, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:25.108750  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:25.145149  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:25.821583  1019 solver.cpp:350] Iteration 2142 (8.42872 iter/s, 1.06778s/9 iter), 29.7/101.2ep, loss = 37.1237
I0622 17:50:25.821607  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.1518 (* 2 = 28.3037 loss)
I0622 17:50:25.821619  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.81793 (* 1 = 8.81793 loss)
I0622 17:50:25.821641  1019 sgd_solver.cpp:170] Iteration 2142, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:26.891548  1019 solver.cpp:350] Iteration 2151 (8.41154 iter/s, 1.06996s/9 iter), 29.8/101.2ep, loss = 60.0955
I0622 17:50:26.891571  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.6598 (* 2 = 43.3195 loss)
I0622 17:50:26.891583  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.7739 (* 1 = 16.7739 loss)
I0622 17:50:26.891593  1019 sgd_solver.cpp:170] Iteration 2151, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:27.965204  1019 solver.cpp:350] Iteration 2160 (8.38269 iter/s, 1.07364s/9 iter), 29.9/101.2ep, loss = 46.5367
I0622 17:50:27.965224  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.7737 (* 2 = 31.5474 loss)
I0622 17:50:27.965232  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9872 (* 1 = 14.9872 loss)
I0622 17:50:27.965240  1019 sgd_solver.cpp:170] Iteration 2160, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:29.033550  1019 solver.cpp:350] Iteration 2169 (8.42429 iter/s, 1.06834s/9 iter), 30.1/101.2ep, loss = 2.66092
I0622 17:50:29.033569  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.994018 (* 2 = 1.98804 loss)
I0622 17:50:29.033578  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.670799 (* 1 = 0.670799 loss)
I0622 17:50:29.033586  1019 sgd_solver.cpp:170] Iteration 2169, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:30.100391  1019 solver.cpp:350] Iteration 2178 (8.43615 iter/s, 1.06684s/9 iter), 30.2/101.2ep, loss = 14.8534
I0622 17:50:30.100410  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.67273 (* 2 = 9.34545 loss)
I0622 17:50:30.100419  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50583 (* 1 = 5.50583 loss)
I0622 17:50:30.100425  1019 sgd_solver.cpp:170] Iteration 2178, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:31.167304  1019 solver.cpp:350] Iteration 2187 (8.43568 iter/s, 1.0669s/9 iter), 30.3/101.2ep, loss = 13.0719
I0622 17:50:31.167323  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.28869 (* 2 = 8.57739 loss)
I0622 17:50:31.167332  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.49248 (* 1 = 4.49248 loss)
I0622 17:50:31.167340  1019 sgd_solver.cpp:170] Iteration 2187, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:31.405055  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2190.caffemodel
I0622 17:50:31.438897  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2190.solverstate
I0622 17:50:31.459461  1019 solver.cpp:516] Iteration 2190, Testing net (#0)
I0622 17:50:31.590409  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:31.620900  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:31.677541  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.2062 (* 2 = 38.4125 loss)
I0622 17:50:31.677561  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0996 (* 1 = 19.0996 loss)
I0622 17:50:31.677567  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:31.677573  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:31.677579  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:31.677601  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.510307s
I0622 17:50:32.510076  1019 solver.cpp:350] Iteration 2196 (17.6364 iter/s, 0.510307s/9 iter), 30.4/101.2ep, loss = 59.0567
I0622 17:50:32.510099  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.7048 (* 2 = 37.4095 loss)
I0622 17:50:32.510109  1019 solver.cpp:374]     Train net output #1: loss_coverage = 21.6452 (* 1 = 21.6452 loss)
I0622 17:50:32.510119  1019 sgd_solver.cpp:170] Iteration 2196, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:33.577177  1019 solver.cpp:350] Iteration 2205 (8.43413 iter/s, 1.06709s/9 iter), 30.6/101.2ep, loss = 111.968
I0622 17:50:33.577195  1019 solver.cpp:374]     Train net output #0: loss_bbox = 34.7372 (* 2 = 69.4743 loss)
I0622 17:50:33.577204  1019 solver.cpp:374]     Train net output #1: loss_coverage = 42.4918 (* 1 = 42.4918 loss)
I0622 17:50:33.577225  1019 sgd_solver.cpp:170] Iteration 2205, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:33.933212  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:33.966006  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:34.646634  1019 solver.cpp:350] Iteration 2214 (8.4156 iter/s, 1.06944s/9 iter), 30.7/101.2ep, loss = 14.9836
I0622 17:50:34.646653  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.7382 (* 2 = 9.4764 loss)
I0622 17:50:34.646661  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50514 (* 1 = 5.50514 loss)
I0622 17:50:34.646668  1019 sgd_solver.cpp:170] Iteration 2214, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:35.712455  1019 solver.cpp:350] Iteration 2223 (8.44423 iter/s, 1.06582s/9 iter), 30.8/101.2ep, loss = 16.5283
I0622 17:50:35.712481  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.26158 (* 2 = 10.5232 loss)
I0622 17:50:35.712491  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.00302 (* 1 = 6.00302 loss)
I0622 17:50:35.712504  1019 sgd_solver.cpp:170] Iteration 2223, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:36.779292  1019 solver.cpp:350] Iteration 2232 (8.43627 iter/s, 1.06682s/9 iter), 30.9/101.2ep, loss = 49.2791
I0622 17:50:36.779311  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.0552 (* 2 = 30.1104 loss)
I0622 17:50:36.779320  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.1666 (* 1 = 19.1666 loss)
I0622 17:50:36.779331  1019 sgd_solver.cpp:170] Iteration 2232, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:37.846814  1019 solver.cpp:350] Iteration 2241 (8.43079 iter/s, 1.06752s/9 iter), 31.1/101.2ep, loss = 7.83858
I0622 17:50:37.846834  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.58095 (* 2 = 5.1619 loss)
I0622 17:50:37.846843  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.67461 (* 1 = 2.67461 loss)
I0622 17:50:37.846849  1019 sgd_solver.cpp:170] Iteration 2241, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:38.915992  1019 solver.cpp:350] Iteration 2250 (8.41769 iter/s, 1.06918s/9 iter), 31.2/101.2ep, loss = 20.9368
I0622 17:50:38.916010  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.80362 (* 2 = 13.6072 loss)
I0622 17:50:38.916018  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.32752 (* 1 = 7.32752 loss)
I0622 17:50:38.916025  1019 sgd_solver.cpp:170] Iteration 2250, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:39.983199  1019 solver.cpp:350] Iteration 2259 (8.43325 iter/s, 1.0672s/9 iter), 31.3/101.2ep, loss = 9.74716
I0622 17:50:39.983219  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.12065 (* 2 = 6.24129 loss)
I0622 17:50:39.983227  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.50381 (* 1 = 3.50381 loss)
I0622 17:50:39.983234  1019 sgd_solver.cpp:170] Iteration 2259, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:40.338503  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2263.caffemodel
I0622 17:50:40.372074  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2263.solverstate
I0622 17:50:40.392608  1019 solver.cpp:516] Iteration 2263, Testing net (#0)
I0622 17:50:40.524250  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:40.555307  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:40.611141  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.6663 (* 2 = 27.3326 loss)
I0622 17:50:40.611160  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7992 (* 1 = 13.7992 loss)
I0622 17:50:40.611167  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:40.611173  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:40.611179  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:40.611199  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.628s
I0622 17:50:41.323635  1019 solver.cpp:350] Iteration 2268 (14.3312 iter/s, 0.628s/9 iter), 31.4/101.2ep, loss = 48.8185
I0622 17:50:41.323671  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.8267 (* 2 = 31.6533 loss)
I0622 17:50:41.323680  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.1631 (* 1 = 17.1631 loss)
I0622 17:50:41.323688  1019 sgd_solver.cpp:170] Iteration 2268, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:42.397264  1019 solver.cpp:350] Iteration 2277 (8.38285 iter/s, 1.07362s/9 iter), 31.6/101.2ep, loss = 48.7355
I0622 17:50:42.397285  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.9578 (* 2 = 35.9156 loss)
I0622 17:50:42.397296  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8178 (* 1 = 12.8178 loss)
I0622 17:50:42.397305  1019 sgd_solver.cpp:170] Iteration 2277, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:42.754607  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:42.790060  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:43.466008  1019 solver.cpp:350] Iteration 2286 (8.42121 iter/s, 1.06873s/9 iter), 31.7/101.2ep, loss = 36.4025
I0622 17:50:43.466027  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.6193 (* 2 = 27.2387 loss)
I0622 17:50:43.466035  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.16175 (* 1 = 9.16175 loss)
I0622 17:50:43.466042  1019 sgd_solver.cpp:170] Iteration 2286, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:44.532238  1019 solver.cpp:350] Iteration 2295 (8.44102 iter/s, 1.06622s/9 iter), 31.8/101.2ep, loss = 29.9398
I0622 17:50:44.532258  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.3035 (* 2 = 20.607 loss)
I0622 17:50:44.532265  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.33068 (* 1 = 9.33068 loss)
I0622 17:50:44.532272  1019 sgd_solver.cpp:170] Iteration 2295, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:45.594660  1019 solver.cpp:350] Iteration 2304 (8.47127 iter/s, 1.06241s/9 iter), 31.9/101.2ep, loss = 38.9811
I0622 17:50:45.594678  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8329 (* 2 = 25.6658 loss)
I0622 17:50:45.594687  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.3132 (* 1 = 13.3132 loss)
I0622 17:50:45.594694  1019 sgd_solver.cpp:170] Iteration 2304, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:46.657995  1019 solver.cpp:350] Iteration 2313 (8.464 iter/s, 1.06333s/9 iter), 32.1/101.2ep, loss = 17.5264
I0622 17:50:46.658015  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.75482 (* 2 = 11.5096 loss)
I0622 17:50:46.658022  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.01469 (* 1 = 6.01469 loss)
I0622 17:50:46.658030  1019 sgd_solver.cpp:170] Iteration 2313, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:47.721246  1019 solver.cpp:350] Iteration 2322 (8.46463 iter/s, 1.06325s/9 iter), 32.2/101.2ep, loss = 28.1443
I0622 17:50:47.721271  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.59988 (* 2 = 19.1998 loss)
I0622 17:50:47.721278  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.9425 (* 1 = 8.9425 loss)
I0622 17:50:47.721285  1019 sgd_solver.cpp:170] Iteration 2322, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:48.789775  1019 solver.cpp:350] Iteration 2331 (8.4229 iter/s, 1.06851s/9 iter), 32.3/101.2ep, loss = 93.6962
I0622 17:50:48.789794  1019 solver.cpp:374]     Train net output #0: loss_bbox = 40.4347 (* 2 = 80.8693 loss)
I0622 17:50:48.789803  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8248 (* 1 = 12.8248 loss)
I0622 17:50:48.789810  1019 sgd_solver.cpp:170] Iteration 2331, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:49.264041  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2336.caffemodel
I0622 17:50:49.296818  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2336.solverstate
I0622 17:50:49.317229  1019 solver.cpp:516] Iteration 2336, Testing net (#0)
I0622 17:50:49.407963  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:49.444092  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:49.541235  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.7669 (* 2 = 43.5338 loss)
I0622 17:50:49.541254  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4875 (* 1 = 19.4875 loss)
I0622 17:50:49.541261  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:49.541267  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:49.541273  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:49.541296  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.751528s
I0622 17:50:50.136407  1019 solver.cpp:350] Iteration 2340 (11.9756 iter/s, 0.751528s/9 iter), 32.4/101.2ep, loss = 19.7358
I0622 17:50:50.136427  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.78446 (* 2 = 13.5689 loss)
I0622 17:50:50.136435  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.16479 (* 1 = 6.16479 loss)
I0622 17:50:50.136442  1019 sgd_solver.cpp:170] Iteration 2340, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:51.203050  1019 solver.cpp:350] Iteration 2349 (8.43776 iter/s, 1.06663s/9 iter), 32.5/101.2ep, loss = 34.1758
I0622 17:50:51.203069  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2948 (* 2 = 26.5895 loss)
I0622 17:50:51.203078  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.58416 (* 1 = 7.58416 loss)
I0622 17:50:51.203084  1019 sgd_solver.cpp:170] Iteration 2349, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:51.558457  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:51.589731  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:52.268944  1019 solver.cpp:350] Iteration 2358 (8.44371 iter/s, 1.06588s/9 iter), 32.7/101.2ep, loss = 34.3746
I0622 17:50:52.268965  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.3566 (* 2 = 26.7132 loss)
I0622 17:50:52.268972  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.65935 (* 1 = 7.65935 loss)
I0622 17:50:52.268980  1019 sgd_solver.cpp:170] Iteration 2358, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:53.337038  1019 solver.cpp:350] Iteration 2367 (8.42626 iter/s, 1.06809s/9 iter), 32.8/101.2ep, loss = 33.0233
I0622 17:50:53.337064  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.9888 (* 2 = 21.9775 loss)
I0622 17:50:53.337072  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.0437 (* 1 = 11.0437 loss)
I0622 17:50:53.337080  1019 sgd_solver.cpp:170] Iteration 2367, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:54.403316  1019 solver.cpp:350] Iteration 2376 (8.44065 iter/s, 1.06627s/9 iter), 32.9/101.2ep, loss = 50.0503
I0622 17:50:54.403337  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.2845 (* 2 = 34.569 loss)
I0622 17:50:54.403345  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.4792 (* 1 = 15.4792 loss)
I0622 17:50:54.403353  1019 sgd_solver.cpp:170] Iteration 2376, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:55.473726  1019 solver.cpp:350] Iteration 2385 (8.40804 iter/s, 1.0704s/9 iter), 33/101.2ep, loss = 36.3719
I0622 17:50:55.473745  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.768 (* 2 = 25.5359 loss)
I0622 17:50:55.473754  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.8339 (* 1 = 10.8339 loss)
I0622 17:50:55.473762  1019 sgd_solver.cpp:170] Iteration 2385, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:56.542981  1019 solver.cpp:350] Iteration 2394 (8.41719 iter/s, 1.06924s/9 iter), 33.2/101.2ep, loss = 16.2369
I0622 17:50:56.543000  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.77295 (* 2 = 9.54591 loss)
I0622 17:50:56.543009  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.68888 (* 1 = 6.68888 loss)
I0622 17:50:56.543027  1019 sgd_solver.cpp:170] Iteration 2394, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:57.682267  1019 solver.cpp:350] Iteration 2403 (7.89977 iter/s, 1.13927s/9 iter), 33.3/101.2ep, loss = 56.5235
I0622 17:50:57.682287  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.2863 (* 2 = 42.5725 loss)
I0622 17:50:57.682296  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.9489 (* 1 = 13.9489 loss)
I0622 17:50:57.682303  1019 sgd_solver.cpp:170] Iteration 2403, lr = 0.0001, m = 0.9, wd = 1e-06, gs = 1
I0622 17:50:58.278923  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2409.caffemodel
I0622 17:50:58.313654  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2409.solverstate
I0622 17:50:58.335947  1019 solver.cpp:516] Iteration 2409, Testing net (#0)
I0622 17:50:58.424063  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:58.489181  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:50:58.557809  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.2468 (* 2 = 32.4936 loss)
I0622 17:50:58.557831  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7851 (* 1 = 15.7851 loss)
I0622 17:50:58.557837  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:50:58.557843  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:50:58.557857  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:50:58.557886  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.87563s
I0622 17:50:59.041901  1019 solver.cpp:350] Iteration 2412 (10.2783 iter/s, 0.87563s/9 iter), 33.4/101.2ep, loss = 28.7668
I0622 17:50:59.041927  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.45899 (* 2 = 18.918 loss)
I0622 17:50:59.041936  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.84672 (* 1 = 9.84672 loss)
I0622 17:50:59.041944  1019 sgd_solver.cpp:170] Iteration 2412, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:00.132920  1019 solver.cpp:350] Iteration 2421 (8.24921 iter/s, 1.09101s/9 iter), 33.5/101.2ep, loss = 19.0928
I0622 17:51:00.132939  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.20866 (* 2 = 16.4173 loss)
I0622 17:51:00.132946  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.67341 (* 1 = 2.67341 loss)
I0622 17:51:00.132953  1019 sgd_solver.cpp:170] Iteration 2421, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:00.491581  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:00.521661  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:01.207836  1019 solver.cpp:350] Iteration 2430 (8.37276 iter/s, 1.07491s/9 iter), 33.7/101.2ep, loss = 24.6192
I0622 17:51:01.207856  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.23455 (* 2 = 18.4691 loss)
I0622 17:51:01.207864  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.14807 (* 1 = 6.14807 loss)
I0622 17:51:01.207871  1019 sgd_solver.cpp:170] Iteration 2430, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:02.281725  1019 solver.cpp:350] Iteration 2439 (8.38081 iter/s, 1.07388s/9 iter), 33.8/101.2ep, loss = 47.7897
I0622 17:51:02.281745  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5428 (* 2 = 31.0857 loss)
I0622 17:51:02.281754  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.702 (* 1 = 16.702 loss)
I0622 17:51:02.281761  1019 sgd_solver.cpp:170] Iteration 2439, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:03.355021  1019 solver.cpp:350] Iteration 2448 (8.38545 iter/s, 1.07329s/9 iter), 33.9/101.2ep, loss = 16.6291
I0622 17:51:03.355041  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.31124 (* 2 = 10.6225 loss)
I0622 17:51:03.355048  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.00452 (* 1 = 6.00452 loss)
I0622 17:51:03.355056  1019 sgd_solver.cpp:170] Iteration 2448, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:04.429133  1019 solver.cpp:350] Iteration 2457 (8.37911 iter/s, 1.0741s/9 iter), 34/101.2ep, loss = 29.8313
I0622 17:51:04.429172  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.74652 (* 2 = 19.493 loss)
I0622 17:51:04.429181  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3362 (* 1 = 10.3362 loss)
I0622 17:51:04.429188  1019 sgd_solver.cpp:170] Iteration 2457, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:05.502770  1019 solver.cpp:350] Iteration 2466 (8.3828 iter/s, 1.07363s/9 iter), 34.2/101.2ep, loss = 18.6761
I0622 17:51:05.502789  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.08286 (* 2 = 12.1657 loss)
I0622 17:51:05.502797  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.50835 (* 1 = 6.50835 loss)
I0622 17:51:05.502806  1019 sgd_solver.cpp:170] Iteration 2466, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:06.577862  1019 solver.cpp:350] Iteration 2475 (8.37143 iter/s, 1.07509s/9 iter), 34.3/101.2ep, loss = 54.4704
I0622 17:51:06.577883  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.7532 (* 2 = 39.5064 loss)
I0622 17:51:06.577890  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.962 (* 1 = 14.962 loss)
I0622 17:51:06.577898  1019 sgd_solver.cpp:170] Iteration 2475, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:07.294150  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2482.caffemodel
I0622 17:51:07.327086  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2482.solverstate
I0622 17:51:07.349961  1019 solver.cpp:516] Iteration 2482, Testing net (#0)
I0622 17:51:07.393869  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:07.424317  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:07.567785  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.1551 (* 2 = 38.3102 loss)
I0622 17:51:07.567803  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4263 (* 1 = 18.4263 loss)
I0622 17:51:07.567811  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:07.567816  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:07.567823  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:07.567843  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.989985s
I0622 17:51:07.928005  1019 solver.cpp:350] Iteration 2484 (9.09105 iter/s, 0.989985s/9 iter), 34.4/101.2ep, loss = 49.3341
I0622 17:51:07.928030  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.4215 (* 2 = 32.8429 loss)
I0622 17:51:07.928040  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4891 (* 1 = 16.4891 loss)
I0622 17:51:07.928046  1019 sgd_solver.cpp:170] Iteration 2484, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:09.002733  1019 solver.cpp:350] Iteration 2493 (8.37435 iter/s, 1.07471s/9 iter), 34.5/101.2ep, loss = 5.4182
I0622 17:51:09.002753  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.70216 (* 2 = 3.40433 loss)
I0622 17:51:09.002760  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.0118 (* 1 = 2.0118 loss)
I0622 17:51:09.002768  1019 sgd_solver.cpp:170] Iteration 2493, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:09.358644  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:09.388664  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:10.071008  1019 solver.cpp:350] Iteration 2502 (8.42483 iter/s, 1.06827s/9 iter), 34.7/101.2ep, loss = 2.19747
I0622 17:51:10.071032  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.558739 (* 2 = 1.11748 loss)
I0622 17:51:10.071040  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.07792 (* 1 = 1.07792 loss)
I0622 17:51:10.071048  1019 sgd_solver.cpp:170] Iteration 2502, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:11.137369  1019 solver.cpp:350] Iteration 2511 (8.44001 iter/s, 1.06635s/9 iter), 34.8/101.2ep, loss = 16.2556
I0622 17:51:11.137389  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.02885 (* 2 = 10.0577 loss)
I0622 17:51:11.137398  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.19578 (* 1 = 6.19578 loss)
I0622 17:51:11.137418  1019 sgd_solver.cpp:170] Iteration 2511, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:12.207756  1019 solver.cpp:350] Iteration 2520 (8.4082 iter/s, 1.07038s/9 iter), 34.9/101.2ep, loss = 2.36226
I0622 17:51:12.207774  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.67304 (* 2 = 1.34608 loss)
I0622 17:51:12.207782  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.01411 (* 1 = 1.01411 loss)
I0622 17:51:12.207789  1019 sgd_solver.cpp:170] Iteration 2520, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:13.278264  1019 solver.cpp:350] Iteration 2529 (8.40728 iter/s, 1.0705s/9 iter), 35/101.2ep, loss = 44.2524
I0622 17:51:13.278282  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.959 (* 2 = 31.9179 loss)
I0622 17:51:13.278291  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.3324 (* 1 = 12.3324 loss)
I0622 17:51:13.278301  1019 sgd_solver.cpp:170] Iteration 2529, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:14.349335  1019 solver.cpp:350] Iteration 2538 (8.40286 iter/s, 1.07106s/9 iter), 35.2/101.2ep, loss = 5.01819
I0622 17:51:14.349354  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.33365 (* 2 = 2.66729 loss)
I0622 17:51:14.349362  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.34883 (* 1 = 2.34883 loss)
I0622 17:51:14.349369  1019 sgd_solver.cpp:170] Iteration 2538, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:15.423319  1019 solver.cpp:350] Iteration 2547 (8.38007 iter/s, 1.07398s/9 iter), 35.3/101.2ep, loss = 12.0855
I0622 17:51:15.423338  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.03481 (* 2 = 8.06962 loss)
I0622 17:51:15.423346  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.01384 (* 1 = 4.01384 loss)
I0622 17:51:15.423353  1019 sgd_solver.cpp:170] Iteration 2547, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:16.257535  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2555.caffemodel
I0622 17:51:16.290369  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2555.solverstate
I0622 17:51:16.310816  1019 solver.cpp:516] Iteration 2555, Testing net (#0)
I0622 17:51:16.354929  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:16.386427  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:16.529662  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.011 (* 2 = 32.0221 loss)
I0622 17:51:16.529681  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1296 (* 1 = 17.1296 loss)
I0622 17:51:16.529692  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:16.529700  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:16.529706  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:16.529726  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.10641s
I0622 17:51:16.767356  1019 solver.cpp:350] Iteration 2556 (8.13443 iter/s, 1.10641s/9 iter), 35.4/101.2ep, loss = 38.9184
I0622 17:51:16.767376  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.642 (* 2 = 25.2839 loss)
I0622 17:51:16.767385  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.6324 (* 1 = 13.6324 loss)
I0622 17:51:16.767392  1019 sgd_solver.cpp:170] Iteration 2556, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:17.852787  1019 solver.cpp:350] Iteration 2565 (8.29174 iter/s, 1.08542s/9 iter), 35.5/101.2ep, loss = 21.9466
I0622 17:51:17.852809  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.5467 (* 2 = 13.0934 loss)
I0622 17:51:17.852818  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.85112 (* 1 = 8.85112 loss)
I0622 17:51:17.852828  1019 sgd_solver.cpp:170] Iteration 2565, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:18.209024  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:18.246824  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:18.924580  1019 solver.cpp:350] Iteration 2574 (8.39719 iter/s, 1.07179s/9 iter), 35.7/101.2ep, loss = 12.4486
I0622 17:51:18.924618  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.97551 (* 2 = 7.95101 loss)
I0622 17:51:18.924626  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.49549 (* 1 = 4.49549 loss)
I0622 17:51:18.924634  1019 sgd_solver.cpp:170] Iteration 2574, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:20.007839  1019 solver.cpp:350] Iteration 2583 (8.30832 iter/s, 1.08325s/9 iter), 35.8/101.2ep, loss = 23.0024
I0622 17:51:20.007915  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.99716 (* 2 = 15.9943 loss)
I0622 17:51:20.007926  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.00601 (* 1 = 7.00601 loss)
I0622 17:51:20.007936  1019 sgd_solver.cpp:170] Iteration 2583, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:21.092838  1019 solver.cpp:350] Iteration 2592 (8.29498 iter/s, 1.08499s/9 iter), 35.9/101.2ep, loss = 2.14944
I0622 17:51:21.092856  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.73471 (* 2 = 1.46942 loss)
I0622 17:51:21.092864  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.677962 (* 1 = 0.677962 loss)
I0622 17:51:21.092871  1019 sgd_solver.cpp:170] Iteration 2592, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:22.162331  1019 solver.cpp:350] Iteration 2601 (8.41523 iter/s, 1.06949s/9 iter), 36/101.2ep, loss = 30.7093
I0622 17:51:22.162351  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.1823 (* 2 = 20.3645 loss)
I0622 17:51:22.162360  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3427 (* 1 = 10.3427 loss)
I0622 17:51:22.162367  1019 sgd_solver.cpp:170] Iteration 2601, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:23.231189  1019 solver.cpp:350] Iteration 2610 (8.42028 iter/s, 1.06885s/9 iter), 36.2/101.2ep, loss = 4.8998
I0622 17:51:23.231209  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.43925 (* 2 = 2.8785 loss)
I0622 17:51:23.231216  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.01924 (* 1 = 2.01924 loss)
I0622 17:51:23.231223  1019 sgd_solver.cpp:170] Iteration 2610, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:24.300707  1019 solver.cpp:350] Iteration 2619 (8.41506 iter/s, 1.06951s/9 iter), 36.3/101.2ep, loss = 70.2655
I0622 17:51:24.300726  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.9803 (* 2 = 55.9606 loss)
I0622 17:51:24.300734  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.3028 (* 1 = 14.3028 loss)
I0622 17:51:24.300741  1019 sgd_solver.cpp:170] Iteration 2619, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:25.249060  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2628.caffemodel
I0622 17:51:25.281837  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2628.solverstate
I0622 17:51:25.302716  1019 solver.cpp:516] Iteration 2628, Testing net (#0)
I0622 17:51:25.302865  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:25.338995  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:25.520740  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.1692 (* 2 = 32.3384 loss)
I0622 17:51:25.520761  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3279 (* 1 = 15.3279 loss)
I0622 17:51:25.520767  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:25.520774  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:25.520781  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:25.520802  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.2201s
I0622 17:51:25.640259  1019 solver.cpp:350] Iteration 2628 (7.37643 iter/s, 1.2201s/9 iter), 36.4/101.2ep, loss = 54.3917
I0622 17:51:25.640280  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.972 (* 2 = 37.9441 loss)
I0622 17:51:25.640287  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4455 (* 1 = 16.4455 loss)
I0622 17:51:25.640295  1019 sgd_solver.cpp:170] Iteration 2628, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:26.710429  1019 solver.cpp:350] Iteration 2637 (8.4099 iter/s, 1.07017s/9 iter), 36.5/101.2ep, loss = 38.9819
I0622 17:51:26.710454  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.5032 (* 2 = 27.0064 loss)
I0622 17:51:26.710466  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9734 (* 1 = 11.9734 loss)
I0622 17:51:26.710475  1019 sgd_solver.cpp:170] Iteration 2637, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:27.066556  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:27.115818  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:27.779709  1019 solver.cpp:350] Iteration 2646 (8.41693 iter/s, 1.06927s/9 iter), 36.7/101.2ep, loss = 27.2213
I0622 17:51:27.779733  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.69261 (* 2 = 19.3852 loss)
I0622 17:51:27.779744  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.83399 (* 1 = 7.83399 loss)
I0622 17:51:27.779753  1019 sgd_solver.cpp:170] Iteration 2646, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:28.853242  1019 solver.cpp:350] Iteration 2655 (8.38364 iter/s, 1.07352s/9 iter), 36.8/101.2ep, loss = 26.2349
I0622 17:51:28.853262  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.78484 (* 2 = 19.5697 loss)
I0622 17:51:28.853271  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.6632 (* 1 = 6.6632 loss)
I0622 17:51:28.853277  1019 sgd_solver.cpp:170] Iteration 2655, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:29.925732  1019 solver.cpp:350] Iteration 2664 (8.39175 iter/s, 1.07248s/9 iter), 36.9/101.2ep, loss = 11.7908
I0622 17:51:29.925752  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.55825 (* 2 = 9.1165 loss)
I0622 17:51:29.925760  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.6722 (* 1 = 2.6722 loss)
I0622 17:51:29.925766  1019 sgd_solver.cpp:170] Iteration 2664, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:30.994819  1019 solver.cpp:350] Iteration 2673 (8.41846 iter/s, 1.06908s/9 iter), 37/101.2ep, loss = 197.792
I0622 17:51:30.994839  1019 solver.cpp:374]     Train net output #0: loss_bbox = 94.5633 (* 2 = 189.127 loss)
I0622 17:51:30.994848  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.66289 (* 1 = 8.66289 loss)
I0622 17:51:30.994854  1019 sgd_solver.cpp:170] Iteration 2673, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:32.064734  1019 solver.cpp:350] Iteration 2682 (8.41194 iter/s, 1.06991s/9 iter), 37.2/101.2ep, loss = 7.03991
I0622 17:51:32.064754  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.93164 (* 2 = 3.86328 loss)
I0622 17:51:32.064762  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.17455 (* 1 = 3.17455 loss)
I0622 17:51:32.064769  1019 sgd_solver.cpp:170] Iteration 2682, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:33.134210  1019 solver.cpp:350] Iteration 2691 (8.41544 iter/s, 1.06946s/9 iter), 37.3/101.2ep, loss = 61.2482
I0622 17:51:33.134235  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.8859 (* 2 = 47.7717 loss)
I0622 17:51:33.134244  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.4744 (* 1 = 13.4744 loss)
I0622 17:51:33.134251  1019 sgd_solver.cpp:170] Iteration 2691, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:34.205317  1019 solver.cpp:350] Iteration 2700 (8.40256 iter/s, 1.0711s/9 iter), 37.4/101.2ep, loss = 55.2118
I0622 17:51:34.205339  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.6997 (* 2 = 39.3994 loss)
I0622 17:51:34.205348  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.8103 (* 1 = 15.8103 loss)
I0622 17:51:34.205355  1019 sgd_solver.cpp:170] Iteration 2700, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:34.205368  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2701.caffemodel
I0622 17:51:34.241820  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2701.solverstate
I0622 17:51:34.266146  1019 solver.cpp:516] Iteration 2701, Testing net (#0)
I0622 17:51:34.266297  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:34.303069  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:34.443574  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:34.473727  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:34.487165  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.801 (* 2 = 33.602 loss)
I0622 17:51:34.487185  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8621 (* 1 = 17.8621 loss)
I0622 17:51:34.487192  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:34.487211  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:34.487221  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:34.487242  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.281934s
I0622 17:51:35.561640  1019 solver.cpp:350] Iteration 2709 (31.9223 iter/s, 0.281934s/9 iter), 37.5/101.2ep, loss = 43.6546
I0622 17:51:35.561659  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.4126 (* 2 = 28.8251 loss)
I0622 17:51:35.561668  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8274 (* 1 = 14.8274 loss)
I0622 17:51:35.561676  1019 sgd_solver.cpp:170] Iteration 2709, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:36.280247  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:36.307268  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:36.635512  1019 solver.cpp:350] Iteration 2718 (8.38098 iter/s, 1.07386s/9 iter), 37.7/101.2ep, loss = 42.6138
I0622 17:51:36.635532  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.1361 (* 2 = 28.2722 loss)
I0622 17:51:36.635540  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.3396 (* 1 = 14.3396 loss)
I0622 17:51:36.635547  1019 sgd_solver.cpp:170] Iteration 2718, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:37.705106  1019 solver.cpp:350] Iteration 2727 (8.41451 iter/s, 1.06958s/9 iter), 37.8/101.2ep, loss = 37.447
I0622 17:51:37.705126  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.7438 (* 2 = 29.4875 loss)
I0622 17:51:37.705133  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.95737 (* 1 = 7.95737 loss)
I0622 17:51:37.705142  1019 sgd_solver.cpp:170] Iteration 2727, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:38.772579  1019 solver.cpp:350] Iteration 2736 (8.43117 iter/s, 1.06747s/9 iter), 37.9/101.2ep, loss = 24.0517
I0622 17:51:38.772598  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.59696 (* 2 = 17.1939 loss)
I0622 17:51:38.772606  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.85567 (* 1 = 6.85567 loss)
I0622 17:51:38.772614  1019 sgd_solver.cpp:170] Iteration 2736, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:39.839910  1019 solver.cpp:350] Iteration 2745 (8.43231 iter/s, 1.06732s/9 iter), 38/101.2ep, loss = 43.994
I0622 17:51:39.839933  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.7492 (* 2 = 33.4984 loss)
I0622 17:51:39.839942  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.4936 (* 1 = 10.4936 loss)
I0622 17:51:39.839949  1019 sgd_solver.cpp:170] Iteration 2745, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:40.906630  1019 solver.cpp:350] Iteration 2754 (8.43712 iter/s, 1.06671s/9 iter), 38.2/101.2ep, loss = 19.2062
I0622 17:51:40.906652  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.76648 (* 2 = 11.533 loss)
I0622 17:51:40.906664  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.67114 (* 1 = 7.67114 loss)
I0622 17:51:40.906673  1019 sgd_solver.cpp:170] Iteration 2754, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:41.977838  1019 solver.cpp:350] Iteration 2763 (8.40176 iter/s, 1.0712s/9 iter), 38.3/101.2ep, loss = 47.6957
I0622 17:51:41.977861  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.4308 (* 2 = 38.8617 loss)
I0622 17:51:41.977872  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.83192 (* 1 = 8.83192 loss)
I0622 17:51:41.977881  1019 sgd_solver.cpp:170] Iteration 2763, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:43.049855  1019 solver.cpp:350] Iteration 2772 (8.39544 iter/s, 1.07201s/9 iter), 38.4/101.2ep, loss = 62.772
I0622 17:51:43.049875  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.5698 (* 2 = 47.1396 loss)
I0622 17:51:43.049886  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6304 (* 1 = 15.6304 loss)
I0622 17:51:43.049896  1019 sgd_solver.cpp:170] Iteration 2772, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:43.169478  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2774.caffemodel
I0622 17:51:43.202857  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2774.solverstate
I0622 17:51:43.224110  1019 solver.cpp:516] Iteration 2774, Testing net (#0)
I0622 17:51:43.400696  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:43.431315  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:43.444864  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.6532 (* 2 = 35.3064 loss)
I0622 17:51:43.444882  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0246 (* 1 = 16.0246 loss)
I0622 17:51:43.444890  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:43.444895  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:43.444901  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:43.444924  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.395069s
I0622 17:51:44.398294  1019 solver.cpp:350] Iteration 2781 (22.7808 iter/s, 0.395069s/9 iter), 38.5/101.2ep, loss = 46.3864
I0622 17:51:44.398327  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.1098 (* 2 = 30.2195 loss)
I0622 17:51:44.398336  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1648 (* 1 = 16.1648 loss)
I0622 17:51:44.398344  1019 sgd_solver.cpp:170] Iteration 2781, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:45.110934  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:45.141930  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:45.468663  1019 solver.cpp:350] Iteration 2790 (8.40835 iter/s, 1.07036s/9 iter), 38.7/101.2ep, loss = 44.0128
I0622 17:51:45.468683  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.4272 (* 2 = 30.8543 loss)
I0622 17:51:45.468698  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.1564 (* 1 = 13.1564 loss)
I0622 17:51:45.468708  1019 sgd_solver.cpp:170] Iteration 2790, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:46.539016  1019 solver.cpp:350] Iteration 2799 (8.40856 iter/s, 1.07034s/9 iter), 38.8/101.2ep, loss = 24.0918
I0622 17:51:46.539041  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.07967 (* 2 = 18.1593 loss)
I0622 17:51:46.539053  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.93045 (* 1 = 5.93045 loss)
I0622 17:51:46.539062  1019 sgd_solver.cpp:170] Iteration 2799, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:47.608489  1019 solver.cpp:350] Iteration 2808 (8.41543 iter/s, 1.06946s/9 iter), 38.9/101.2ep, loss = 18.5215
I0622 17:51:47.608515  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.43125 (* 2 = 12.8625 loss)
I0622 17:51:47.608527  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.65699 (* 1 = 5.65699 loss)
I0622 17:51:47.608537  1019 sgd_solver.cpp:170] Iteration 2808, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:48.675318  1019 solver.cpp:350] Iteration 2817 (8.43618 iter/s, 1.06683s/9 iter), 39/101.2ep, loss = 26.7475
I0622 17:51:48.675340  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.5365 (* 2 = 21.073 loss)
I0622 17:51:48.675350  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.67246 (* 1 = 5.67246 loss)
I0622 17:51:48.675357  1019 sgd_solver.cpp:170] Iteration 2817, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:49.746950  1019 solver.cpp:350] Iteration 2826 (8.39849 iter/s, 1.07162s/9 iter), 39.2/101.2ep, loss = 19.1864
I0622 17:51:49.746969  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.00124 (* 2 = 12.0025 loss)
I0622 17:51:49.746978  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.18191 (* 1 = 7.18191 loss)
I0622 17:51:49.746987  1019 sgd_solver.cpp:170] Iteration 2826, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:50.816433  1019 solver.cpp:350] Iteration 2835 (8.41542 iter/s, 1.06947s/9 iter), 39.3/101.2ep, loss = 0.00685883
I0622 17:51:50.816535  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:51:50.816547  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00480739 (* 1 = 0.00480739 loss)
I0622 17:51:50.816556  1019 sgd_solver.cpp:170] Iteration 2835, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:51.889047  1019 solver.cpp:350] Iteration 2844 (8.39079 iter/s, 1.07261s/9 iter), 39.4/101.2ep, loss = 55.4829
I0622 17:51:51.889067  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.2612 (* 2 = 38.5224 loss)
I0622 17:51:51.889075  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.9585 (* 1 = 16.9585 loss)
I0622 17:51:51.889082  1019 sgd_solver.cpp:170] Iteration 2844, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:52.126314  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2847.caffemodel
I0622 17:51:52.159159  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2847.solverstate
I0622 17:51:52.181051  1019 solver.cpp:516] Iteration 2847, Testing net (#0)
I0622 17:51:52.312954  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:52.344756  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:52.400127  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.2043 (* 2 = 36.4085 loss)
I0622 17:51:52.400151  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0941 (* 1 = 19.0941 loss)
I0622 17:51:52.400157  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:51:52.400163  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:51:52.400169  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:51:52.400190  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.511152s
I0622 17:51:53.232103  1019 solver.cpp:350] Iteration 2853 (17.6073 iter/s, 0.511152s/9 iter), 39.5/101.2ep, loss = 26.9772
I0622 17:51:53.232123  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.81418 (* 2 = 17.6284 loss)
I0622 17:51:53.232131  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.34678 (* 1 = 9.34678 loss)
I0622 17:51:53.232137  1019 sgd_solver.cpp:170] Iteration 2853, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:53.946334  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:53.982199  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:51:54.303865  1019 solver.cpp:350] Iteration 2862 (8.39744 iter/s, 1.07176s/9 iter), 39.7/101.2ep, loss = 23.4016
I0622 17:51:54.303884  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.35792 (* 2 = 14.7158 loss)
I0622 17:51:54.303894  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.68374 (* 1 = 8.68374 loss)
I0622 17:51:54.303900  1019 sgd_solver.cpp:170] Iteration 2862, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:55.375814  1019 solver.cpp:350] Iteration 2871 (8.39599 iter/s, 1.07194s/9 iter), 39.8/101.2ep, loss = 39.9311
I0622 17:51:55.375838  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.2273 (* 2 = 32.4545 loss)
I0622 17:51:55.375849  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.47449 (* 1 = 7.47449 loss)
I0622 17:51:55.375859  1019 sgd_solver.cpp:170] Iteration 2871, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:56.447343  1019 solver.cpp:350] Iteration 2880 (8.3993 iter/s, 1.07152s/9 iter), 39.9/101.2ep, loss = 65.3386
I0622 17:51:56.447363  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.1846 (* 2 = 50.3693 loss)
I0622 17:51:56.447372  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9673 (* 1 = 14.9673 loss)
I0622 17:51:56.447381  1019 sgd_solver.cpp:170] Iteration 2880, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:57.515197  1019 solver.cpp:350] Iteration 2889 (8.42819 iter/s, 1.06784s/9 iter), 40/101.2ep, loss = 76.4025
I0622 17:51:57.515215  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.7398 (* 2 = 61.4796 loss)
I0622 17:51:57.515224  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9209 (* 1 = 14.9209 loss)
I0622 17:51:57.515231  1019 sgd_solver.cpp:170] Iteration 2889, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:58.584630  1019 solver.cpp:350] Iteration 2898 (8.41573 iter/s, 1.06943s/9 iter), 40.2/101.2ep, loss = 16.979
I0622 17:51:58.584650  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.15161 (* 2 = 12.3032 loss)
I0622 17:51:58.584659  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.67376 (* 1 = 4.67376 loss)
I0622 17:51:58.584668  1019 sgd_solver.cpp:170] Iteration 2898, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:51:59.653964  1019 solver.cpp:350] Iteration 2907 (8.41652 iter/s, 1.06933s/9 iter), 40.3/101.2ep, loss = 11.7647
I0622 17:51:59.653985  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.21735 (* 2 = 8.43469 loss)
I0622 17:51:59.653992  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.32796 (* 1 = 3.32796 loss)
I0622 17:51:59.654001  1019 sgd_solver.cpp:170] Iteration 2907, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:00.726824  1019 solver.cpp:350] Iteration 2916 (8.38883 iter/s, 1.07286s/9 iter), 40.4/101.2ep, loss = 33.7931
I0622 17:52:00.726845  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4952 (* 2 = 22.9905 loss)
I0622 17:52:00.726853  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.8006 (* 1 = 10.8006 loss)
I0622 17:52:00.726861  1019 sgd_solver.cpp:170] Iteration 2916, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:01.084858  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2920.caffemodel
I0622 17:52:01.118175  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2920.solverstate
I0622 17:52:01.141813  1019 solver.cpp:516] Iteration 2920, Testing net (#0)
I0622 17:52:01.273619  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:01.305732  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:01.361109  1019 solver.cpp:602]     Test net output #0: loss_bbox = 14.7819 (* 2 = 29.5637 loss)
I0622 17:52:01.361129  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7821 (* 1 = 13.7821 loss)
I0622 17:52:01.361136  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:01.361142  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:01.361148  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:01.361168  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.634353s
I0622 17:52:02.076004  1019 solver.cpp:350] Iteration 2925 (14.1877 iter/s, 0.634353s/9 iter), 40.5/101.2ep, loss = 25.4511
I0622 17:52:02.076022  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.73922 (* 2 = 17.4784 loss)
I0622 17:52:02.076030  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.97065 (* 1 = 7.97065 loss)
I0622 17:52:02.076037  1019 sgd_solver.cpp:170] Iteration 2925, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:02.788780  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:02.819255  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:03.145748  1019 solver.cpp:350] Iteration 2934 (8.41328 iter/s, 1.06974s/9 iter), 40.7/101.2ep, loss = 2.26505
I0622 17:52:03.145769  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.625803 (* 2 = 1.25161 loss)
I0622 17:52:03.145779  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.0114 (* 1 = 1.0114 loss)
I0622 17:52:03.145787  1019 sgd_solver.cpp:170] Iteration 2934, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:04.219691  1019 solver.cpp:350] Iteration 2943 (8.38033 iter/s, 1.07394s/9 iter), 40.8/101.2ep, loss = 34.5376
I0622 17:52:04.219712  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.6245 (* 2 = 27.249 loss)
I0622 17:52:04.219718  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.28657 (* 1 = 7.28657 loss)
I0622 17:52:04.219727  1019 sgd_solver.cpp:170] Iteration 2943, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:05.291074  1019 solver.cpp:350] Iteration 2952 (8.40042 iter/s, 1.07138s/9 iter), 40.9/101.2ep, loss = 40.0744
I0622 17:52:05.291095  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.5665 (* 2 = 27.1329 loss)
I0622 17:52:05.291116  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9394 (* 1 = 12.9394 loss)
I0622 17:52:05.291126  1019 sgd_solver.cpp:170] Iteration 2952, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:06.361836  1019 solver.cpp:350] Iteration 2961 (8.40529 iter/s, 1.07075s/9 iter), 41/101.2ep, loss = 41.9756
I0622 17:52:06.361855  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.3394 (* 2 = 32.6788 loss)
I0622 17:52:06.361863  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.29476 (* 1 = 9.29476 loss)
I0622 17:52:06.361871  1019 sgd_solver.cpp:170] Iteration 2961, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:07.434761  1019 solver.cpp:350] Iteration 2970 (8.3884 iter/s, 1.07291s/9 iter), 41.2/101.2ep, loss = 4.38201
I0622 17:52:07.434778  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.17689 (* 2 = 2.35379 loss)
I0622 17:52:07.434787  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.02619 (* 1 = 2.02619 loss)
I0622 17:52:07.434793  1019 sgd_solver.cpp:170] Iteration 2970, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:08.507243  1019 solver.cpp:350] Iteration 2979 (8.39179 iter/s, 1.07248s/9 iter), 41.3/101.2ep, loss = 33.7457
I0622 17:52:08.507262  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.2142 (* 2 = 24.4284 loss)
I0622 17:52:08.507270  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.31524 (* 1 = 9.31524 loss)
I0622 17:52:08.507278  1019 sgd_solver.cpp:170] Iteration 2979, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:09.577352  1019 solver.cpp:350] Iteration 2988 (8.41038 iter/s, 1.07011s/9 iter), 41.4/101.2ep, loss = 39.9438
I0622 17:52:09.577371  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.5606 (* 2 = 25.1212 loss)
I0622 17:52:09.577379  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8206 (* 1 = 14.8206 loss)
I0622 17:52:09.577388  1019 sgd_solver.cpp:170] Iteration 2988, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:10.054360  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_2993.caffemodel
I0622 17:52:10.086814  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_2993.solverstate
I0622 17:52:10.107403  1019 solver.cpp:516] Iteration 2993, Testing net (#0)
I0622 17:52:10.195446  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:10.226789  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:10.325772  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.5139 (* 2 = 43.0278 loss)
I0622 17:52:10.325789  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4797 (* 1 = 19.4797 loss)
I0622 17:52:10.325798  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:10.325803  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:10.325809  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:10.325831  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.748481s
I0622 17:52:10.921473  1019 solver.cpp:350] Iteration 2997 (12.0244 iter/s, 0.748481s/9 iter), 41.5/101.2ep, loss = 23.7216
I0622 17:52:10.921494  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.36001 (* 2 = 14.72 loss)
I0622 17:52:10.921502  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99955 (* 1 = 8.99955 loss)
I0622 17:52:10.921509  1019 sgd_solver.cpp:170] Iteration 2997, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:11.637082  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:11.672969  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:11.993876  1019 solver.cpp:350] Iteration 3006 (8.39243 iter/s, 1.07239s/9 iter), 41.7/101.2ep, loss = 0.0106659
I0622 17:52:11.993896  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:52:11.993904  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00863544 (* 1 = 0.00863544 loss)
I0622 17:52:11.993911  1019 sgd_solver.cpp:170] Iteration 3006, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:13.074095  1019 solver.cpp:350] Iteration 3015 (8.33168 iter/s, 1.08021s/9 iter), 41.8/101.2ep, loss = 73.398
I0622 17:52:13.074113  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.197 (* 2 = 58.3939 loss)
I0622 17:52:13.074123  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.0021 (* 1 = 15.0021 loss)
I0622 17:52:13.074132  1019 sgd_solver.cpp:170] Iteration 3015, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:14.152374  1019 solver.cpp:350] Iteration 3024 (8.34672 iter/s, 1.07827s/9 iter), 41.9/101.2ep, loss = 54.1139
I0622 17:52:14.152393  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.01 (* 2 = 38.0201 loss)
I0622 17:52:14.152403  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.0918 (* 1 = 16.0918 loss)
I0622 17:52:14.152412  1019 sgd_solver.cpp:170] Iteration 3024, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:15.221088  1019 solver.cpp:350] Iteration 3033 (8.42133 iter/s, 1.06871s/9 iter), 42/101.2ep, loss = 58.2614
I0622 17:52:15.221113  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.8872 (* 2 = 43.7744 loss)
I0622 17:52:15.221124  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.485 (* 1 = 14.485 loss)
I0622 17:52:15.221133  1019 sgd_solver.cpp:170] Iteration 3033, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:16.291849  1019 solver.cpp:350] Iteration 3042 (8.40534 iter/s, 1.07075s/9 iter), 42.2/101.2ep, loss = 6.07609
I0622 17:52:16.291869  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.59739 (* 2 = 3.19478 loss)
I0622 17:52:16.291879  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.87928 (* 1 = 2.87928 loss)
I0622 17:52:16.291887  1019 sgd_solver.cpp:170] Iteration 3042, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:17.363206  1019 solver.cpp:350] Iteration 3051 (8.40057 iter/s, 1.07136s/9 iter), 42.3/101.2ep, loss = 53.2472
I0622 17:52:17.363231  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.5413 (* 2 = 37.0827 loss)
I0622 17:52:17.363242  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1625 (* 1 = 16.1625 loss)
I0622 17:52:17.363252  1019 sgd_solver.cpp:170] Iteration 3051, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:18.433619  1019 solver.cpp:350] Iteration 3060 (8.40809 iter/s, 1.0704s/9 iter), 42.4/101.2ep, loss = 48.3257
I0622 17:52:18.433640  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.4943 (* 2 = 36.9886 loss)
I0622 17:52:18.433647  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3351 (* 1 = 11.3351 loss)
I0622 17:52:18.433655  1019 sgd_solver.cpp:170] Iteration 3060, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:19.027448  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3066.caffemodel
I0622 17:52:19.060114  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3066.solverstate
I0622 17:52:19.080605  1019 solver.cpp:516] Iteration 3066, Testing net (#0)
I0622 17:52:19.167625  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:19.201781  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:19.298032  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.1492 (* 2 = 30.2984 loss)
I0622 17:52:19.298051  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7892 (* 1 = 15.7892 loss)
I0622 17:52:19.298058  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:19.298065  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:19.298071  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:19.298094  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.864484s
I0622 17:52:19.774391  1019 solver.cpp:350] Iteration 3069 (10.4108 iter/s, 0.864484s/9 iter), 42.5/101.2ep, loss = 41.654
I0622 17:52:19.774411  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.6637 (* 2 = 27.3274 loss)
I0622 17:52:19.774420  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.3246 (* 1 = 14.3246 loss)
I0622 17:52:19.774439  1019 sgd_solver.cpp:170] Iteration 3069, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:20.487963  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:20.524224  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:20.845269  1019 solver.cpp:350] Iteration 3078 (8.40442 iter/s, 1.07087s/9 iter), 42.7/101.2ep, loss = 9.33363
I0622 17:52:20.845386  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.8255 (* 2 = 7.65101 loss)
I0622 17:52:20.845396  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.68055 (* 1 = 1.68055 loss)
I0622 17:52:20.845403  1019 sgd_solver.cpp:170] Iteration 3078, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:21.923871  1019 solver.cpp:350] Iteration 3087 (8.34417 iter/s, 1.0786s/9 iter), 42.8/101.2ep, loss = 64.9196
I0622 17:52:21.923890  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.6641 (* 2 = 49.3282 loss)
I0622 17:52:21.923899  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.5893 (* 1 = 15.5893 loss)
I0622 17:52:21.923907  1019 sgd_solver.cpp:170] Iteration 3087, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:22.993950  1019 solver.cpp:350] Iteration 3096 (8.41068 iter/s, 1.07007s/9 iter), 42.9/101.2ep, loss = 15.8016
I0622 17:52:22.993970  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.14753 (* 2 = 10.2951 loss)
I0622 17:52:22.993978  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50445 (* 1 = 5.50445 loss)
I0622 17:52:22.993993  1019 sgd_solver.cpp:170] Iteration 3096, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:24.061851  1019 solver.cpp:350] Iteration 3105 (8.42774 iter/s, 1.0679s/9 iter), 43/101.2ep, loss = 35.5736
I0622 17:52:24.061875  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.7038 (* 2 = 27.4075 loss)
I0622 17:52:24.061887  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16396 (* 1 = 8.16396 loss)
I0622 17:52:24.061897  1019 sgd_solver.cpp:170] Iteration 3105, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:25.130506  1019 solver.cpp:350] Iteration 3114 (8.42191 iter/s, 1.06864s/9 iter), 43.2/101.2ep, loss = 27.7093
I0622 17:52:25.130525  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.84133 (* 2 = 19.6827 loss)
I0622 17:52:25.130533  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.02456 (* 1 = 8.02456 loss)
I0622 17:52:25.130540  1019 sgd_solver.cpp:170] Iteration 3114, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:26.205152  1019 solver.cpp:350] Iteration 3123 (8.37492 iter/s, 1.07464s/9 iter), 43.3/101.2ep, loss = 39.3206
I0622 17:52:26.205171  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8768 (* 2 = 27.7535 loss)
I0622 17:52:26.205179  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.565 (* 1 = 11.565 loss)
I0622 17:52:26.205188  1019 sgd_solver.cpp:170] Iteration 3123, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:27.278491  1019 solver.cpp:350] Iteration 3132 (8.38505 iter/s, 1.07334s/9 iter), 43.4/101.2ep, loss = 106.082
I0622 17:52:27.278512  1019 solver.cpp:374]     Train net output #0: loss_bbox = 44.8012 (* 2 = 89.6025 loss)
I0622 17:52:27.278522  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4779 (* 1 = 16.4779 loss)
I0622 17:52:27.278532  1019 sgd_solver.cpp:170] Iteration 3132, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:27.994665  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3139.caffemodel
I0622 17:52:28.027195  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3139.solverstate
I0622 17:52:28.049409  1019 solver.cpp:516] Iteration 3139, Testing net (#0)
I0622 17:52:28.093300  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:28.124191  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:28.268307  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.6839 (* 2 = 37.3677 loss)
I0622 17:52:28.268328  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4247 (* 1 = 18.4247 loss)
I0622 17:52:28.268335  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:28.268342  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:28.268347  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:28.268368  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.989879s
I0622 17:52:28.627161  1019 solver.cpp:350] Iteration 3141 (9.09202 iter/s, 0.989879s/9 iter), 43.5/101.2ep, loss = 55.6049
I0622 17:52:28.627197  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.0747 (* 2 = 40.1495 loss)
I0622 17:52:28.627205  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.4534 (* 1 = 15.4534 loss)
I0622 17:52:28.627213  1019 sgd_solver.cpp:170] Iteration 3141, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:29.340008  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:29.373905  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:29.696346  1019 solver.cpp:350] Iteration 3150 (8.41768 iter/s, 1.06918s/9 iter), 43.6/101.2ep, loss = 18.1388
I0622 17:52:29.696367  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.23845 (* 2 = 12.4769 loss)
I0622 17:52:29.696374  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.65984 (* 1 = 5.65984 loss)
I0622 17:52:29.696382  1019 sgd_solver.cpp:170] Iteration 3150, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:30.770031  1019 solver.cpp:350] Iteration 3159 (8.38235 iter/s, 1.07368s/9 iter), 43.8/101.2ep, loss = 97.4303
I0622 17:52:30.770051  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.2919 (* 2 = 70.5837 loss)
I0622 17:52:30.770061  1019 solver.cpp:374]     Train net output #1: loss_coverage = 26.8444 (* 1 = 26.8444 loss)
I0622 17:52:30.770071  1019 sgd_solver.cpp:170] Iteration 3159, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:31.859040  1019 solver.cpp:350] Iteration 3168 (8.2645 iter/s, 1.089s/9 iter), 43.9/101.2ep, loss = 12.9617
I0622 17:52:31.859061  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.47933 (* 2 = 8.95866 loss)
I0622 17:52:31.859068  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00099 (* 1 = 4.00099 loss)
I0622 17:52:31.859077  1019 sgd_solver.cpp:170] Iteration 3168, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:32.934020  1019 solver.cpp:350] Iteration 3177 (8.37236 iter/s, 1.07497s/9 iter), 44/101.2ep, loss = 35.5682
I0622 17:52:32.934047  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.4623 (* 2 = 26.9247 loss)
I0622 17:52:32.934059  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.64143 (* 1 = 8.64143 loss)
I0622 17:52:32.934067  1019 sgd_solver.cpp:170] Iteration 3177, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:34.002828  1019 solver.cpp:350] Iteration 3186 (8.42062 iter/s, 1.06881s/9 iter), 44.1/101.2ep, loss = 45.1721
I0622 17:52:34.002848  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.749 (* 2 = 35.498 loss)
I0622 17:52:34.002856  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.67198 (* 1 = 9.67198 loss)
I0622 17:52:34.002863  1019 sgd_solver.cpp:170] Iteration 3186, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:35.073379  1019 solver.cpp:350] Iteration 3195 (8.4069 iter/s, 1.07055s/9 iter), 44.3/101.2ep, loss = 28.4216
I0622 17:52:35.073401  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2025 (* 2 = 20.4049 loss)
I0622 17:52:35.073412  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.01467 (* 1 = 8.01467 loss)
I0622 17:52:35.073421  1019 sgd_solver.cpp:170] Iteration 3195, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:36.139706  1019 solver.cpp:350] Iteration 3204 (8.44029 iter/s, 1.06631s/9 iter), 44.4/101.2ep, loss = 108.703
I0622 17:52:36.139727  1019 solver.cpp:374]     Train net output #0: loss_bbox = 47.5615 (* 2 = 95.123 loss)
I0622 17:52:36.139737  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.5778 (* 1 = 13.5778 loss)
I0622 17:52:36.139746  1019 sgd_solver.cpp:170] Iteration 3204, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:36.968935  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3212.caffemodel
I0622 17:52:37.001235  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3212.solverstate
I0622 17:52:37.021561  1019 solver.cpp:516] Iteration 3212, Testing net (#0)
I0622 17:52:37.064882  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:37.095643  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:37.238339  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.8228 (* 2 = 31.6455 loss)
I0622 17:52:37.238358  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1275 (* 1 = 17.1275 loss)
I0622 17:52:37.238365  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:37.238371  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:37.238378  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:37.238399  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.0987s
I0622 17:52:37.475589  1019 solver.cpp:350] Iteration 3213 (8.19149 iter/s, 1.0987s/9 iter), 44.5/101.2ep, loss = 63.4044
I0622 17:52:37.475607  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.5444 (* 2 = 47.0889 loss)
I0622 17:52:37.475615  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.3134 (* 1 = 16.3134 loss)
I0622 17:52:37.475625  1019 sgd_solver.cpp:170] Iteration 3213, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:38.186451  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:38.217523  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:38.541263  1019 solver.cpp:350] Iteration 3222 (8.44543 iter/s, 1.06566s/9 iter), 44.6/101.2ep, loss = 46.0524
I0622 17:52:38.541281  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.6251 (* 2 = 33.2502 loss)
I0622 17:52:38.541292  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8 (* 1 = 12.8 loss)
I0622 17:52:38.541301  1019 sgd_solver.cpp:170] Iteration 3222, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:39.609254  1019 solver.cpp:350] Iteration 3231 (8.42704 iter/s, 1.06799s/9 iter), 44.8/101.2ep, loss = 70.6174
I0622 17:52:39.609278  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.9183 (* 2 = 49.8367 loss)
I0622 17:52:39.609290  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.7786 (* 1 = 20.7786 loss)
I0622 17:52:39.609300  1019 sgd_solver.cpp:170] Iteration 3231, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:40.679205  1019 solver.cpp:350] Iteration 3240 (8.41171 iter/s, 1.06994s/9 iter), 44.9/101.2ep, loss = 31.6733
I0622 17:52:40.679225  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.5084 (* 2 = 23.0167 loss)
I0622 17:52:40.679237  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.65449 (* 1 = 8.65449 loss)
I0622 17:52:40.679244  1019 sgd_solver.cpp:170] Iteration 3240, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:41.756808  1019 solver.cpp:350] Iteration 3249 (8.35193 iter/s, 1.0776s/9 iter), 45/101.2ep, loss = 24.6019
I0622 17:52:41.756827  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.123 (* 2 = 20.246 loss)
I0622 17:52:41.756835  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.35375 (* 1 = 4.35375 loss)
I0622 17:52:41.756842  1019 sgd_solver.cpp:170] Iteration 3249, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:42.832669  1019 solver.cpp:350] Iteration 3258 (8.36552 iter/s, 1.07584s/9 iter), 45.1/101.2ep, loss = 47.3571
I0622 17:52:42.832689  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.8543 (* 2 = 37.7085 loss)
I0622 17:52:42.832700  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.64639 (* 1 = 9.64639 loss)
I0622 17:52:42.832717  1019 sgd_solver.cpp:170] Iteration 3258, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:43.903479  1019 solver.cpp:350] Iteration 3267 (8.40478 iter/s, 1.07082s/9 iter), 45.3/101.2ep, loss = 19.8457
I0622 17:52:43.903498  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.58389 (* 2 = 13.1678 loss)
I0622 17:52:43.903506  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.67576 (* 1 = 6.67576 loss)
I0622 17:52:43.903513  1019 sgd_solver.cpp:170] Iteration 3267, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:44.972112  1019 solver.cpp:350] Iteration 3276 (8.42204 iter/s, 1.06863s/9 iter), 45.4/101.2ep, loss = 130.781
I0622 17:52:44.972132  1019 solver.cpp:374]     Train net output #0: loss_bbox = 56.7056 (* 2 = 113.411 loss)
I0622 17:52:44.972158  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.3681 (* 1 = 17.3681 loss)
I0622 17:52:44.972168  1019 sgd_solver.cpp:170] Iteration 3276, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:45.921699  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3285.caffemodel
I0622 17:52:45.954118  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3285.solverstate
I0622 17:52:45.975168  1019 solver.cpp:516] Iteration 3285, Testing net (#0)
I0622 17:52:45.975324  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:46.006341  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:46.196367  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.9193 (* 2 = 31.8386 loss)
I0622 17:52:46.196393  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3271 (* 1 = 15.3271 loss)
I0622 17:52:46.196400  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:46.196406  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:46.196413  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:46.196432  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22432s
I0622 17:52:46.315279  1019 solver.cpp:350] Iteration 3285 (7.35099 iter/s, 1.22432s/9 iter), 45.5/101.2ep, loss = 48.4835
I0622 17:52:46.315299  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.4242 (* 2 = 32.8485 loss)
I0622 17:52:46.315310  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6329 (* 1 = 15.6329 loss)
I0622 17:52:46.315393  1019 sgd_solver.cpp:170] Iteration 3285, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:47.028574  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:47.060284  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:47.385207  1019 solver.cpp:350] Iteration 3294 (8.41179 iter/s, 1.06993s/9 iter), 45.6/101.2ep, loss = 36.1729
I0622 17:52:47.385231  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.5858 (* 2 = 23.1715 loss)
I0622 17:52:47.385243  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9993 (* 1 = 12.9993 loss)
I0622 17:52:47.385252  1019 sgd_solver.cpp:170] Iteration 3294, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:48.455817  1019 solver.cpp:350] Iteration 3303 (8.40646 iter/s, 1.07061s/9 iter), 45.8/101.2ep, loss = 69.0909
I0622 17:52:48.455838  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.1396 (* 2 = 48.2793 loss)
I0622 17:52:48.455849  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.8095 (* 1 = 20.8095 loss)
I0622 17:52:48.455859  1019 sgd_solver.cpp:170] Iteration 3303, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:49.525514  1019 solver.cpp:350] Iteration 3312 (8.4137 iter/s, 1.06968s/9 iter), 45.9/101.2ep, loss = 63.4402
I0622 17:52:49.525533  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.5685 (* 2 = 55.137 loss)
I0622 17:52:49.525542  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.30104 (* 1 = 8.30104 loss)
I0622 17:52:49.525549  1019 sgd_solver.cpp:170] Iteration 3312, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:50.607046  1019 solver.cpp:350] Iteration 3321 (8.32159 iter/s, 1.08152s/9 iter), 46/101.2ep, loss = 19.0156
I0622 17:52:50.607066  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.25136 (* 2 = 12.5027 loss)
I0622 17:52:50.607074  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.51078 (* 1 = 6.51078 loss)
I0622 17:52:50.607081  1019 sgd_solver.cpp:170] Iteration 3321, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:51.680434  1019 solver.cpp:350] Iteration 3330 (8.38474 iter/s, 1.07338s/9 iter), 46.1/101.2ep, loss = 27.1205
I0622 17:52:51.680543  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.8863 (* 2 = 21.7725 loss)
I0622 17:52:51.680553  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.34584 (* 1 = 5.34584 loss)
I0622 17:52:51.680560  1019 sgd_solver.cpp:170] Iteration 3330, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:52.748569  1019 solver.cpp:350] Iteration 3339 (8.42595 iter/s, 1.06813s/9 iter), 46.3/101.2ep, loss = 37.444
I0622 17:52:52.748589  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.1729 (* 2 = 24.3459 loss)
I0622 17:52:52.748597  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.096 (* 1 = 13.096 loss)
I0622 17:52:52.748605  1019 sgd_solver.cpp:170] Iteration 3339, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:53.817428  1019 solver.cpp:350] Iteration 3348 (8.4202 iter/s, 1.06886s/9 iter), 46.4/101.2ep, loss = 100.436
I0622 17:52:53.817447  1019 solver.cpp:374]     Train net output #0: loss_bbox = 42.5198 (* 2 = 85.0397 loss)
I0622 17:52:53.817456  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.3937 (* 1 = 15.3937 loss)
I0622 17:52:53.817463  1019 sgd_solver.cpp:170] Iteration 3348, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:54.896387  1019 solver.cpp:350] Iteration 3357 (8.34145 iter/s, 1.07895s/9 iter), 46.5/101.2ep, loss = 36.9533
I0622 17:52:54.896406  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.9865 (* 2 = 23.973 loss)
I0622 17:52:54.896414  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9781 (* 1 = 12.9781 loss)
I0622 17:52:54.896422  1019 sgd_solver.cpp:170] Iteration 3357, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:54.896433  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3358.caffemodel
I0622 17:52:54.929297  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3358.solverstate
I0622 17:52:54.949657  1019 solver.cpp:516] Iteration 3358, Testing net (#0)
I0622 17:52:54.949805  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:54.982988  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:55.124248  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:55.154284  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:55.167541  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.6638 (* 2 = 33.3277 loss)
I0622 17:52:55.167558  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.861 (* 1 = 17.861 loss)
I0622 17:52:55.167565  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:52:55.167572  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:52:55.167578  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:52:55.167600  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.271218s
I0622 17:52:55.891971  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:55.923401  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:52:56.248176  1019 solver.cpp:350] Iteration 3366 (33.1836 iter/s, 0.271218s/9 iter), 46.6/101.2ep, loss = 49.494
I0622 17:52:56.248196  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.6786 (* 2 = 35.3572 loss)
I0622 17:52:56.248204  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1346 (* 1 = 14.1346 loss)
I0622 17:52:56.248212  1019 sgd_solver.cpp:170] Iteration 3366, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:57.319887  1019 solver.cpp:350] Iteration 3375 (8.39784 iter/s, 1.0717s/9 iter), 46.8/101.2ep, loss = 53.583
I0622 17:52:57.319907  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.7214 (* 2 = 35.4427 loss)
I0622 17:52:57.319918  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.1381 (* 1 = 18.1381 loss)
I0622 17:52:57.319927  1019 sgd_solver.cpp:170] Iteration 3375, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:58.388216  1019 solver.cpp:350] Iteration 3384 (8.4244 iter/s, 1.06832s/9 iter), 46.9/101.2ep, loss = 102.892
I0622 17:52:58.388242  1019 solver.cpp:374]     Train net output #0: loss_bbox = 42.9021 (* 2 = 85.8041 loss)
I0622 17:52:58.388270  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.0857 (* 1 = 17.0857 loss)
I0622 17:52:58.388280  1019 sgd_solver.cpp:170] Iteration 3384, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:52:59.456655  1019 solver.cpp:350] Iteration 3393 (8.42354 iter/s, 1.06843s/9 iter), 47/101.2ep, loss = 52.171
I0622 17:52:59.456676  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.7846 (* 2 = 35.5691 loss)
I0622 17:52:59.456687  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.5998 (* 1 = 16.5998 loss)
I0622 17:52:59.456697  1019 sgd_solver.cpp:170] Iteration 3393, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:00.524246  1019 solver.cpp:350] Iteration 3402 (8.43031 iter/s, 1.06758s/9 iter), 47.1/101.2ep, loss = 62.4172
I0622 17:53:00.524266  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.9726 (* 2 = 45.9452 loss)
I0622 17:53:00.524277  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4698 (* 1 = 16.4698 loss)
I0622 17:53:00.524286  1019 sgd_solver.cpp:170] Iteration 3402, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:01.593335  1019 solver.cpp:350] Iteration 3411 (8.41843 iter/s, 1.06908s/9 iter), 47.3/101.2ep, loss = 69.7267
I0622 17:53:01.593360  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.9953 (* 2 = 45.9907 loss)
I0622 17:53:01.593371  1019 solver.cpp:374]     Train net output #1: loss_coverage = 23.7339 (* 1 = 23.7339 loss)
I0622 17:53:01.593380  1019 sgd_solver.cpp:170] Iteration 3411, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:02.734388  1019 solver.cpp:350] Iteration 3420 (7.88754 iter/s, 1.14104s/9 iter), 47.4/101.2ep, loss = 75.7187
I0622 17:53:02.734410  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.6231 (* 2 = 57.2463 loss)
I0622 17:53:02.734417  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.4703 (* 1 = 18.4703 loss)
I0622 17:53:02.734424  1019 sgd_solver.cpp:170] Iteration 3420, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:03.822533  1019 solver.cpp:350] Iteration 3429 (8.271 iter/s, 1.08814s/9 iter), 47.5/101.2ep, loss = 36.2355
I0622 17:53:03.822554  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.72 (* 2 = 25.4399 loss)
I0622 17:53:03.822563  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.7934 (* 1 = 10.7934 loss)
I0622 17:53:03.822571  1019 sgd_solver.cpp:170] Iteration 3429, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:03.943953  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3431.caffemodel
I0622 17:53:03.981860  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3431.solverstate
I0622 17:53:04.006170  1019 solver.cpp:516] Iteration 3431, Testing net (#0)
I0622 17:53:04.183215  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:04.224211  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:04.227391  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.621 (* 2 = 37.242 loss)
I0622 17:53:04.227411  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0012 (* 1 = 16.0012 loss)
I0622 17:53:04.227417  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:04.227424  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:04.227430  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:04.227455  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.404932s
I0622 17:53:04.840910  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:04.879142  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:05.200565  1019 solver.cpp:350] Iteration 3438 (22.226 iter/s, 0.404932s/9 iter), 47.6/101.2ep, loss = 24.7128
I0622 17:53:05.200585  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.68868 (* 2 = 17.3774 loss)
I0622 17:53:05.200593  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.33333 (* 1 = 7.33333 loss)
I0622 17:53:05.200601  1019 sgd_solver.cpp:170] Iteration 3438, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:06.280089  1019 solver.cpp:350] Iteration 3447 (8.33706 iter/s, 1.07952s/9 iter), 47.8/101.2ep, loss = 41.9552
I0622 17:53:06.280108  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2244 (* 2 = 26.4488 loss)
I0622 17:53:06.280118  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.5043 (* 1 = 15.5043 loss)
I0622 17:53:06.280128  1019 sgd_solver.cpp:170] Iteration 3447, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:07.358741  1019 solver.cpp:350] Iteration 3456 (8.34378 iter/s, 1.07865s/9 iter), 47.9/101.2ep, loss = 75.4025
I0622 17:53:07.358765  1019 solver.cpp:374]     Train net output #0: loss_bbox = 31.1193 (* 2 = 62.2386 loss)
I0622 17:53:07.358798  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.1618 (* 1 = 13.1618 loss)
I0622 17:53:07.358808  1019 sgd_solver.cpp:170] Iteration 3456, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:08.434475  1019 solver.cpp:350] Iteration 3465 (8.36649 iter/s, 1.07572s/9 iter), 48/101.2ep, loss = 44.4421
I0622 17:53:08.434494  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.9642 (* 2 = 27.9284 loss)
I0622 17:53:08.434504  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.5116 (* 1 = 16.5116 loss)
I0622 17:53:08.434510  1019 sgd_solver.cpp:170] Iteration 3465, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:09.514905  1019 solver.cpp:350] Iteration 3474 (8.33009 iter/s, 1.08042s/9 iter), 48.1/101.2ep, loss = 62.8868
I0622 17:53:09.514925  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.1402 (* 2 = 48.2804 loss)
I0622 17:53:09.514932  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.6042 (* 1 = 14.6042 loss)
I0622 17:53:09.514940  1019 sgd_solver.cpp:170] Iteration 3474, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:10.590318  1019 solver.cpp:350] Iteration 3483 (8.36887 iter/s, 1.07541s/9 iter), 48.3/101.2ep, loss = 63.9821
I0622 17:53:10.590340  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.8773 (* 2 = 43.7547 loss)
I0622 17:53:10.590349  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.2253 (* 1 = 20.2253 loss)
I0622 17:53:10.590356  1019 sgd_solver.cpp:170] Iteration 3483, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:11.663159  1019 solver.cpp:350] Iteration 3492 (8.38904 iter/s, 1.07283s/9 iter), 48.4/101.2ep, loss = 49.9918
I0622 17:53:11.663179  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.5967 (* 2 = 39.1934 loss)
I0622 17:53:11.663187  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.7963 (* 1 = 10.7963 loss)
I0622 17:53:11.663194  1019 sgd_solver.cpp:170] Iteration 3492, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:12.736754  1019 solver.cpp:350] Iteration 3501 (8.38311 iter/s, 1.07359s/9 iter), 48.5/101.2ep, loss = 36.0598
I0622 17:53:12.736773  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.3733 (* 2 = 26.7466 loss)
I0622 17:53:12.736781  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.31105 (* 1 = 9.31105 loss)
I0622 17:53:12.736788  1019 sgd_solver.cpp:170] Iteration 3501, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:12.974973  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3504.caffemodel
I0622 17:53:13.008081  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3504.solverstate
I0622 17:53:13.030170  1019 solver.cpp:516] Iteration 3504, Testing net (#0)
I0622 17:53:13.164508  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:13.195456  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:13.251281  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.1823 (* 2 = 38.3646 loss)
I0622 17:53:13.251299  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0738 (* 1 = 19.0738 loss)
I0622 17:53:13.251307  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:13.251313  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:13.251318  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:13.251354  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.514607s
I0622 17:53:13.727236  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:13.763161  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:14.085265  1019 solver.cpp:350] Iteration 3510 (17.4891 iter/s, 0.514607s/9 iter), 48.6/101.2ep, loss = 55.0052
I0622 17:53:14.085285  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.008 (* 2 = 44.0161 loss)
I0622 17:53:14.085294  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.987 (* 1 = 10.987 loss)
I0622 17:53:14.085301  1019 sgd_solver.cpp:170] Iteration 3510, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:15.157230  1019 solver.cpp:350] Iteration 3519 (8.39586 iter/s, 1.07196s/9 iter), 48.8/101.2ep, loss = 52.0999
I0622 17:53:15.157249  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.9 (* 2 = 33.7999 loss)
I0622 17:53:15.157258  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.2979 (* 1 = 18.2979 loss)
I0622 17:53:15.157265  1019 sgd_solver.cpp:170] Iteration 3519, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:16.227645  1019 solver.cpp:350] Iteration 3528 (8.40798 iter/s, 1.07041s/9 iter), 48.9/101.2ep, loss = 81.574
I0622 17:53:16.227670  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.1568 (* 2 = 64.3136 loss)
I0622 17:53:16.227681  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.2582 (* 1 = 17.2582 loss)
I0622 17:53:16.227690  1019 sgd_solver.cpp:170] Iteration 3528, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:17.296037  1019 solver.cpp:350] Iteration 3537 (8.42391 iter/s, 1.06839s/9 iter), 49/101.2ep, loss = 43.3438
I0622 17:53:17.296056  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.5982 (* 2 = 29.1965 loss)
I0622 17:53:17.296064  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1451 (* 1 = 14.1451 loss)
I0622 17:53:17.296072  1019 sgd_solver.cpp:170] Iteration 3537, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:18.364152  1019 solver.cpp:350] Iteration 3546 (8.42616 iter/s, 1.0681s/9 iter), 49.1/101.2ep, loss = 90.2408
I0622 17:53:18.364171  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.3286 (* 2 = 70.6573 loss)
I0622 17:53:18.364179  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.5814 (* 1 = 19.5814 loss)
I0622 17:53:18.364187  1019 sgd_solver.cpp:170] Iteration 3546, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:19.437098  1019 solver.cpp:350] Iteration 3555 (8.38822 iter/s, 1.07293s/9 iter), 49.3/101.2ep, loss = 49.8249
I0622 17:53:19.437117  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.3251 (* 2 = 32.6502 loss)
I0622 17:53:19.437125  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.1726 (* 1 = 17.1726 loss)
I0622 17:53:19.437134  1019 sgd_solver.cpp:170] Iteration 3555, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:20.511710  1019 solver.cpp:350] Iteration 3564 (8.37513 iter/s, 1.07461s/9 iter), 49.4/101.2ep, loss = 18.6623
I0622 17:53:20.511729  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.0844 (* 2 = 10.1688 loss)
I0622 17:53:20.511737  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.49136 (* 1 = 8.49136 loss)
I0622 17:53:20.511744  1019 sgd_solver.cpp:170] Iteration 3564, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:21.662781  1019 solver.cpp:350] Iteration 3573 (7.81885 iter/s, 1.15106s/9 iter), 49.5/101.2ep, loss = 15.6419
I0622 17:53:21.662807  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.89939 (* 2 = 11.7988 loss)
I0622 17:53:21.662817  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.84102 (* 1 = 3.84102 loss)
I0622 17:53:21.662827  1019 sgd_solver.cpp:170] Iteration 3573, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:22.023409  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3577.caffemodel
I0622 17:53:22.060590  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3577.solverstate
I0622 17:53:22.087152  1019 solver.cpp:516] Iteration 3577, Testing net (#0)
I0622 17:53:22.222618  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:22.262192  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:22.313640  1019 solver.cpp:602]     Test net output #0: loss_bbox = 14.1442 (* 2 = 28.2884 loss)
I0622 17:53:22.313660  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7883 (* 1 = 13.7883 loss)
I0622 17:53:22.313668  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:22.313673  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:22.313679  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:22.313702  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.650925s
I0622 17:53:22.673890  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:22.704489  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:23.034493  1019 solver.cpp:350] Iteration 3582 (13.8265 iter/s, 0.650925s/9 iter), 49.6/101.2ep, loss = 29.9344
I0622 17:53:23.034521  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.7078 (* 2 = 23.4156 loss)
I0622 17:53:23.034533  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.51661 (* 1 = 6.51661 loss)
I0622 17:53:23.034543  1019 sgd_solver.cpp:170] Iteration 3582, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:24.126791  1019 solver.cpp:350] Iteration 3591 (8.2396 iter/s, 1.09229s/9 iter), 49.8/101.2ep, loss = 38.7835
I0622 17:53:24.126809  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8123 (* 2 = 25.6246 loss)
I0622 17:53:24.126817  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.1567 (* 1 = 13.1567 loss)
I0622 17:53:24.126829  1019 sgd_solver.cpp:170] Iteration 3591, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:25.200736  1019 solver.cpp:350] Iteration 3600 (8.38032 iter/s, 1.07394s/9 iter), 49.9/101.2ep, loss = 28.2897
I0622 17:53:25.200755  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2379 (* 2 = 20.4758 loss)
I0622 17:53:25.200763  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.81184 (* 1 = 7.81184 loss)
I0622 17:53:25.200770  1019 sgd_solver.cpp:170] Iteration 3600, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:26.269789  1019 solver.cpp:350] Iteration 3609 (8.41881 iter/s, 1.06904s/9 iter), 50/101.2ep, loss = 9.63567
I0622 17:53:26.269816  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.97325 (* 2 = 5.9465 loss)
I0622 17:53:26.269829  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.68704 (* 1 = 3.68704 loss)
I0622 17:53:26.269836  1019 sgd_solver.cpp:170] Iteration 3609, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:27.337821  1019 solver.cpp:350] Iteration 3618 (8.4267 iter/s, 1.06803s/9 iter), 50.1/101.2ep, loss = 26.2716
I0622 17:53:27.337846  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.37526 (* 2 = 16.7505 loss)
I0622 17:53:27.337858  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.5189 (* 1 = 9.5189 loss)
I0622 17:53:27.337867  1019 sgd_solver.cpp:170] Iteration 3618, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:28.406348  1019 solver.cpp:350] Iteration 3627 (8.42292 iter/s, 1.06851s/9 iter), 50.3/101.2ep, loss = 16.2951
I0622 17:53:28.406368  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.39961 (* 2 = 10.7992 loss)
I0622 17:53:28.406376  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.49381 (* 1 = 5.49381 loss)
I0622 17:53:28.406383  1019 sgd_solver.cpp:170] Iteration 3627, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:29.476274  1019 solver.cpp:350] Iteration 3636 (8.41181 iter/s, 1.06992s/9 iter), 50.4/101.2ep, loss = 0.0237837
I0622 17:53:29.476294  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:53:29.476305  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0216553 (* 1 = 0.0216553 loss)
I0622 17:53:29.476328  1019 sgd_solver.cpp:170] Iteration 3636, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:30.546090  1019 solver.cpp:350] Iteration 3645 (8.41271 iter/s, 1.06981s/9 iter), 50.5/101.2ep, loss = 22.034
I0622 17:53:30.546110  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.76073 (* 2 = 15.5215 loss)
I0622 17:53:30.546118  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.5104 (* 1 = 6.5104 loss)
I0622 17:53:30.546125  1019 sgd_solver.cpp:170] Iteration 3645, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:31.021986  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3650.caffemodel
I0622 17:53:31.054235  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3650.solverstate
I0622 17:53:31.075073  1019 solver.cpp:516] Iteration 3650, Testing net (#0)
I0622 17:53:31.163336  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:31.199648  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:31.295609  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.2226 (* 2 = 42.4452 loss)
I0622 17:53:31.295627  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4842 (* 1 = 19.4842 loss)
I0622 17:53:31.295634  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:31.295640  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:31.295646  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:31.295668  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.749579s
I0622 17:53:31.533046  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:31.564044  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:31.891270  1019 solver.cpp:350] Iteration 3654 (12.0067 iter/s, 0.749579s/9 iter), 50.6/101.2ep, loss = 18.3086
I0622 17:53:31.891290  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.56807 (* 2 = 15.1361 loss)
I0622 17:53:31.891299  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.17037 (* 1 = 3.17037 loss)
I0622 17:53:31.891306  1019 sgd_solver.cpp:170] Iteration 3654, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:32.960450  1019 solver.cpp:350] Iteration 3663 (8.41765 iter/s, 1.06918s/9 iter), 50.8/101.2ep, loss = 37.1252
I0622 17:53:32.960469  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.1412 (* 2 = 24.2824 loss)
I0622 17:53:32.960479  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8406 (* 1 = 12.8406 loss)
I0622 17:53:32.960485  1019 sgd_solver.cpp:170] Iteration 3663, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:34.029006  1019 solver.cpp:350] Iteration 3672 (8.42273 iter/s, 1.06854s/9 iter), 50.9/101.2ep, loss = 30.4295
I0622 17:53:34.029026  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4582 (* 2 = 22.9164 loss)
I0622 17:53:34.029036  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.51103 (* 1 = 7.51103 loss)
I0622 17:53:34.029043  1019 sgd_solver.cpp:170] Iteration 3672, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:35.100519  1019 solver.cpp:350] Iteration 3681 (8.39931 iter/s, 1.07152s/9 iter), 51/101.2ep, loss = 4.57748
I0622 17:53:35.100543  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.44221 (* 2 = 2.88442 loss)
I0622 17:53:35.100553  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.69093 (* 1 = 1.69093 loss)
I0622 17:53:35.100563  1019 sgd_solver.cpp:170] Iteration 3681, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:36.229090  1019 solver.cpp:350] Iteration 3690 (7.97482 iter/s, 1.12855s/9 iter), 51.1/101.2ep, loss = 18.0558
I0622 17:53:36.229120  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.94251 (* 2 = 11.885 loss)
I0622 17:53:36.229128  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.16868 (* 1 = 6.16868 loss)
I0622 17:53:36.229135  1019 sgd_solver.cpp:170] Iteration 3690, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:37.312145  1019 solver.cpp:350] Iteration 3699 (8.30986 iter/s, 1.08305s/9 iter), 51.3/101.2ep, loss = 29.118
I0622 17:53:37.312170  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.8093 (* 2 = 19.6186 loss)
I0622 17:53:37.312202  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.49731 (* 1 = 9.49731 loss)
I0622 17:53:37.312211  1019 sgd_solver.cpp:170] Iteration 3699, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:38.391582  1019 solver.cpp:350] Iteration 3708 (8.3377 iter/s, 1.07943s/9 iter), 51.4/101.2ep, loss = 0.0248668
I0622 17:53:38.391602  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:53:38.391610  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0227443 (* 1 = 0.0227443 loss)
I0622 17:53:38.391618  1019 sgd_solver.cpp:170] Iteration 3708, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:39.459051  1019 solver.cpp:350] Iteration 3717 (8.43122 iter/s, 1.06746s/9 iter), 51.5/101.2ep, loss = 19.6688
I0622 17:53:39.459069  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.32203 (* 2 = 12.6441 loss)
I0622 17:53:39.459077  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.02265 (* 1 = 7.02265 loss)
I0622 17:53:39.459084  1019 sgd_solver.cpp:170] Iteration 3717, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:40.052451  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3723.caffemodel
I0622 17:53:40.085222  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3723.solverstate
I0622 17:53:40.106851  1019 solver.cpp:516] Iteration 3723, Testing net (#0)
I0622 17:53:40.194072  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:40.224887  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:40.324527  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.1284 (* 2 = 30.2569 loss)
I0622 17:53:40.324545  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7906 (* 1 = 15.7906 loss)
I0622 17:53:40.324553  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:40.324559  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:40.324565  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:40.324587  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.865544s
I0622 17:53:40.443488  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:40.474354  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:40.799499  1019 solver.cpp:350] Iteration 3726 (10.3981 iter/s, 0.865544s/9 iter), 51.6/101.2ep, loss = 0.0132694
I0622 17:53:40.799518  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:53:40.799526  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0111504 (* 1 = 0.0111504 loss)
I0622 17:53:40.799533  1019 sgd_solver.cpp:170] Iteration 3726, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:41.869828  1019 solver.cpp:350] Iteration 3735 (8.40871 iter/s, 1.07032s/9 iter), 51.8/101.2ep, loss = 16.9627
I0622 17:53:41.869848  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.56574 (* 2 = 11.1315 loss)
I0622 17:53:41.869856  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.82912 (* 1 = 5.82912 loss)
I0622 17:53:41.869863  1019 sgd_solver.cpp:170] Iteration 3735, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:42.938274  1019 solver.cpp:350] Iteration 3744 (8.42346 iter/s, 1.06844s/9 iter), 51.9/101.2ep, loss = 25.3619
I0622 17:53:42.938294  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.8395 (* 2 = 21.6791 loss)
I0622 17:53:42.938303  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.68073 (* 1 = 3.68073 loss)
I0622 17:53:42.938309  1019 sgd_solver.cpp:170] Iteration 3744, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:44.006744  1019 solver.cpp:350] Iteration 3753 (8.42331 iter/s, 1.06846s/9 iter), 52/101.2ep, loss = 14.3919
I0622 17:53:44.006764  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.70106 (* 2 = 9.40211 loss)
I0622 17:53:44.006772  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.98764 (* 1 = 4.98764 loss)
I0622 17:53:44.006779  1019 sgd_solver.cpp:170] Iteration 3753, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:45.078222  1019 solver.cpp:350] Iteration 3762 (8.39972 iter/s, 1.07146s/9 iter), 52.1/101.2ep, loss = 44.2594
I0622 17:53:45.078243  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.0499 (* 2 = 30.0997 loss)
I0622 17:53:45.078251  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1575 (* 1 = 14.1575 loss)
I0622 17:53:45.078258  1019 sgd_solver.cpp:170] Iteration 3762, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:46.148283  1019 solver.cpp:350] Iteration 3771 (8.41074 iter/s, 1.07006s/9 iter), 52.3/101.2ep, loss = 48.4659
I0622 17:53:46.148301  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.0079 (* 2 = 32.0158 loss)
I0622 17:53:46.148310  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4479 (* 1 = 16.4479 loss)
I0622 17:53:46.148317  1019 sgd_solver.cpp:170] Iteration 3771, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:47.219238  1019 solver.cpp:350] Iteration 3780 (8.40377 iter/s, 1.07095s/9 iter), 52.4/101.2ep, loss = 0.0217762
I0622 17:53:47.219256  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:53:47.219264  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0196533 (* 1 = 0.0196533 loss)
I0622 17:53:47.219271  1019 sgd_solver.cpp:170] Iteration 3780, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:48.289840  1019 solver.cpp:350] Iteration 3789 (8.40653 iter/s, 1.0706s/9 iter), 52.5/101.2ep, loss = 39.8812
I0622 17:53:48.289860  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2883 (* 2 = 26.5767 loss)
I0622 17:53:48.289870  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.3024 (* 1 = 13.3024 loss)
I0622 17:53:48.289876  1019 sgd_solver.cpp:170] Iteration 3789, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:49.002581  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3796.caffemodel
I0622 17:53:49.034909  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3796.solverstate
I0622 17:53:49.055941  1019 solver.cpp:516] Iteration 3796, Testing net (#0)
I0622 17:53:49.099642  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:49.131093  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:49.274248  1019 solver.cpp:602]     Test net output #0: loss_bbox = 20.6705 (* 2 = 41.341 loss)
I0622 17:53:49.274267  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.3926 (* 1 = 18.3926 loss)
I0622 17:53:49.274274  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:49.274281  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:49.274286  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:49.274308  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.984469s
I0622 17:53:49.274430  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:49.312500  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:49.631191  1019 solver.cpp:350] Iteration 3798 (9.14198 iter/s, 0.984469s/9 iter), 52.6/101.2ep, loss = 9.32708
I0622 17:53:49.631209  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.9958 (* 2 = 5.9916 loss)
I0622 17:53:49.631217  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.33336 (* 1 = 3.33336 loss)
I0622 17:53:49.631224  1019 sgd_solver.cpp:170] Iteration 3798, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:50.701506  1019 solver.cpp:350] Iteration 3807 (8.4088 iter/s, 1.07031s/9 iter), 52.8/101.2ep, loss = 3.87716
I0622 17:53:50.701525  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.17367 (* 2 = 2.34734 loss)
I0622 17:53:50.701534  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.5277 (* 1 = 1.5277 loss)
I0622 17:53:50.701540  1019 sgd_solver.cpp:170] Iteration 3807, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:51.772469  1019 solver.cpp:350] Iteration 3816 (8.4037 iter/s, 1.07096s/9 iter), 52.9/101.2ep, loss = 26.5138
I0622 17:53:51.772488  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.4102 (* 2 = 20.8204 loss)
I0622 17:53:51.772509  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.69127 (* 1 = 5.69127 loss)
I0622 17:53:51.772516  1019 sgd_solver.cpp:170] Iteration 3816, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:52.898249  1019 solver.cpp:350] Iteration 3825 (7.99447 iter/s, 1.12578s/9 iter), 53/101.2ep, loss = 18.6188
I0622 17:53:52.898330  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.54884 (* 2 = 13.0977 loss)
I0622 17:53:52.898344  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.51896 (* 1 = 5.51896 loss)
I0622 17:53:52.898352  1019 sgd_solver.cpp:170] Iteration 3825, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:53.984877  1019 solver.cpp:350] Iteration 3834 (8.28262 iter/s, 1.08661s/9 iter), 53.1/101.2ep, loss = 45.3759
I0622 17:53:53.984899  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.9476 (* 2 = 29.8953 loss)
I0622 17:53:53.984908  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.4785 (* 1 = 15.4785 loss)
I0622 17:53:53.984915  1019 sgd_solver.cpp:170] Iteration 3834, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:55.076655  1019 solver.cpp:350] Iteration 3843 (8.2435 iter/s, 1.09177s/9 iter), 53.3/101.2ep, loss = 51.2371
I0622 17:53:55.076678  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.8653 (* 2 = 35.7305 loss)
I0622 17:53:55.076686  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.5045 (* 1 = 15.5045 loss)
I0622 17:53:55.076694  1019 sgd_solver.cpp:170] Iteration 3843, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:56.148264  1019 solver.cpp:350] Iteration 3852 (8.39856 iter/s, 1.07161s/9 iter), 53.4/101.2ep, loss = 0.0130577
I0622 17:53:56.148284  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:53:56.148293  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0109409 (* 1 = 0.0109409 loss)
I0622 17:53:56.148299  1019 sgd_solver.cpp:170] Iteration 3852, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:57.220850  1019 solver.cpp:350] Iteration 3861 (8.39098 iter/s, 1.07258s/9 iter), 53.5/101.2ep, loss = 50.8676
I0622 17:53:57.220871  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.0581 (* 2 = 34.1162 loss)
I0622 17:53:57.220878  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.7493 (* 1 = 16.7493 loss)
I0622 17:53:57.220886  1019 sgd_solver.cpp:170] Iteration 3861, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:57.935214  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:57.964417  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:58.054761  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3869.caffemodel
I0622 17:53:58.087774  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3869.solverstate
I0622 17:53:58.109484  1019 solver.cpp:516] Iteration 3869, Testing net (#0)
I0622 17:53:58.153271  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:58.192749  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:53:58.330801  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.279 (* 2 = 34.558 loss)
I0622 17:53:58.330821  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1093 (* 1 = 17.1093 loss)
I0622 17:53:58.330827  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:53:58.330838  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:53:58.330844  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:53:58.330865  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11002s
I0622 17:53:58.568197  1019 solver.cpp:350] Iteration 3870 (8.10799 iter/s, 1.11002s/9 iter), 53.6/101.2ep, loss = 10.691
I0622 17:53:58.568217  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.09772 (* 2 = 6.19543 loss)
I0622 17:53:58.568224  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.49342 (* 1 = 4.49342 loss)
I0622 17:53:58.568233  1019 sgd_solver.cpp:170] Iteration 3870, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:53:59.639015  1019 solver.cpp:350] Iteration 3879 (8.40494 iter/s, 1.0708s/9 iter), 53.8/101.2ep, loss = 2.79784
I0622 17:53:59.639034  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.874779 (* 2 = 1.74956 loss)
I0622 17:53:59.639042  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.04616 (* 1 = 1.04616 loss)
I0622 17:53:59.639050  1019 sgd_solver.cpp:170] Iteration 3879, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:00.709794  1019 solver.cpp:350] Iteration 3888 (8.40511 iter/s, 1.07078s/9 iter), 53.9/101.2ep, loss = 23.5773
I0622 17:54:00.709812  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.8714 (* 2 = 17.7428 loss)
I0622 17:54:00.709820  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.83235 (* 1 = 5.83235 loss)
I0622 17:54:00.709830  1019 sgd_solver.cpp:170] Iteration 3888, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:01.781188  1019 solver.cpp:350] Iteration 3897 (8.40033 iter/s, 1.07139s/9 iter), 54/101.2ep, loss = 16.1497
I0622 17:54:01.781208  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.492 (* 2 = 10.984 loss)
I0622 17:54:01.781215  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.16356 (* 1 = 5.16356 loss)
I0622 17:54:01.781222  1019 sgd_solver.cpp:170] Iteration 3897, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:02.850801  1019 solver.cpp:350] Iteration 3906 (8.41428 iter/s, 1.06961s/9 iter), 54.1/101.2ep, loss = 37.5968
I0622 17:54:02.850826  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8887 (* 2 = 25.7774 loss)
I0622 17:54:02.850836  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.8173 (* 1 = 11.8173 loss)
I0622 17:54:02.850845  1019 sgd_solver.cpp:170] Iteration 3906, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:03.921844  1019 solver.cpp:350] Iteration 3915 (8.40312 iter/s, 1.07103s/9 iter), 54.2/101.2ep, loss = 57.3039
I0622 17:54:03.921864  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.4432 (* 2 = 38.8864 loss)
I0622 17:54:03.921871  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.4154 (* 1 = 18.4154 loss)
I0622 17:54:03.921880  1019 sgd_solver.cpp:170] Iteration 3915, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:04.996317  1019 solver.cpp:350] Iteration 3924 (8.37623 iter/s, 1.07447s/9 iter), 54.4/101.2ep, loss = 47.6297
I0622 17:54:04.996340  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.7309 (* 2 = 31.4619 loss)
I0622 17:54:04.996351  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1657 (* 1 = 16.1657 loss)
I0622 17:54:04.996361  1019 sgd_solver.cpp:170] Iteration 3924, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:06.067481  1019 solver.cpp:350] Iteration 3933 (8.4022 iter/s, 1.07115s/9 iter), 54.5/101.2ep, loss = 31.7581
I0622 17:54:06.067502  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2184 (* 2 = 20.4369 loss)
I0622 17:54:06.067510  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3191 (* 1 = 11.3191 loss)
I0622 17:54:06.067520  1019 sgd_solver.cpp:170] Iteration 3933, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:06.783519  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:06.820909  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:07.022459  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_3942.caffemodel
I0622 17:54:07.054916  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_3942.solverstate
I0622 17:54:07.075690  1019 solver.cpp:516] Iteration 3942, Testing net (#0)
I0622 17:54:07.075834  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:07.111575  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:07.293504  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.3944 (* 2 = 32.7888 loss)
I0622 17:54:07.293524  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3112 (* 1 = 15.3112 loss)
I0622 17:54:07.293529  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:07.293535  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:07.293542  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:07.293563  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22609s
I0622 17:54:07.414295  1019 solver.cpp:350] Iteration 3942 (7.34039 iter/s, 1.22609s/9 iter), 54.6/101.2ep, loss = 24.9125
I0622 17:54:07.414315  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.63044 (* 2 = 15.2609 loss)
I0622 17:54:07.414340  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.64954 (* 1 = 9.64954 loss)
I0622 17:54:07.414350  1019 sgd_solver.cpp:170] Iteration 3942, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:08.487345  1019 solver.cpp:350] Iteration 3951 (8.38736 iter/s, 1.07304s/9 iter), 54.7/101.2ep, loss = 10.2248
I0622 17:54:08.487367  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.95203 (* 2 = 7.90406 loss)
I0622 17:54:08.487377  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.31858 (* 1 = 2.31858 loss)
I0622 17:54:08.487387  1019 sgd_solver.cpp:170] Iteration 3951, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:09.558949  1019 solver.cpp:350] Iteration 3960 (8.39868 iter/s, 1.0716s/9 iter), 54.9/101.2ep, loss = 26.1458
I0622 17:54:09.558969  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.3142 (* 2 = 16.6284 loss)
I0622 17:54:09.558976  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.51352 (* 1 = 9.51352 loss)
I0622 17:54:09.558984  1019 sgd_solver.cpp:170] Iteration 3960, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:10.631382  1019 solver.cpp:350] Iteration 3969 (8.3922 iter/s, 1.07242s/9 iter), 55/101.2ep, loss = 17.9773
I0622 17:54:10.631402  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.73631 (* 2 = 13.4726 loss)
I0622 17:54:10.631410  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.50075 (* 1 = 4.50075 loss)
I0622 17:54:10.631417  1019 sgd_solver.cpp:170] Iteration 3969, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:11.707088  1019 solver.cpp:350] Iteration 3978 (8.3667 iter/s, 1.07569s/9 iter), 55.1/101.2ep, loss = 21.8977
I0622 17:54:11.707108  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.46029 (* 2 = 14.9206 loss)
I0622 17:54:11.707118  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.97326 (* 1 = 6.97326 loss)
I0622 17:54:11.707128  1019 sgd_solver.cpp:170] Iteration 3978, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:12.778992  1019 solver.cpp:350] Iteration 3987 (8.39635 iter/s, 1.07189s/9 iter), 55.2/101.2ep, loss = 68.9344
I0622 17:54:12.779009  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.4006 (* 2 = 52.8011 loss)
I0622 17:54:12.779018  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.1293 (* 1 = 16.1293 loss)
I0622 17:54:12.779026  1019 sgd_solver.cpp:170] Iteration 3987, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:13.851099  1019 solver.cpp:350] Iteration 3996 (8.39469 iter/s, 1.07211s/9 iter), 55.4/101.2ep, loss = 75.0619
I0622 17:54:13.851119  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.721 (* 2 = 55.442 loss)
I0622 17:54:13.851126  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.616 (* 1 = 19.616 loss)
I0622 17:54:13.851133  1019 sgd_solver.cpp:170] Iteration 3996, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:14.920989  1019 solver.cpp:350] Iteration 4005 (8.41216 iter/s, 1.06988s/9 iter), 55.5/101.2ep, loss = 16.4823
I0622 17:54:14.921008  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.74071 (* 2 = 11.4814 loss)
I0622 17:54:14.921016  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.99704 (* 1 = 4.99704 loss)
I0622 17:54:14.921023  1019 sgd_solver.cpp:170] Iteration 4005, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:15.994372  1019 solver.cpp:350] Iteration 4014 (8.38478 iter/s, 1.07337s/9 iter), 55.6/101.2ep, loss = 69.5271
I0622 17:54:15.994390  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.1021 (* 2 = 60.2042 loss)
I0622 17:54:15.994397  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.31902 (* 1 = 9.31902 loss)
I0622 17:54:15.994405  1019 sgd_solver.cpp:170] Iteration 4014, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:15.994416  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4015.caffemodel
I0622 17:54:16.027005  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4015.solverstate
I0622 17:54:16.047708  1019 solver.cpp:516] Iteration 4015, Testing net (#0)
I0622 17:54:16.047878  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:16.079661  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:16.223142  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:16.253469  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:16.266692  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.6069 (* 2 = 39.2138 loss)
I0622 17:54:16.266710  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8539 (* 1 = 17.8539 loss)
I0622 17:54:16.266716  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:16.266722  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:16.266727  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:16.266749  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.272386s
I0622 17:54:16.266882  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:16.287559  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:17.336400  1019 solver.cpp:350] Iteration 4023 (33.0413 iter/s, 0.272386s/9 iter), 55.7/101.2ep, loss = 22.3056
I0622 17:54:17.336421  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.15303 (* 2 = 16.3061 loss)
I0622 17:54:17.336427  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.99574 (* 1 = 5.99574 loss)
I0622 17:54:17.336434  1019 sgd_solver.cpp:170] Iteration 4023, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:18.404536  1019 solver.cpp:350] Iteration 4032 (8.42597 iter/s, 1.06813s/9 iter), 55.9/101.2ep, loss = 29.3765
I0622 17:54:18.404557  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.85336 (* 2 = 19.7067 loss)
I0622 17:54:18.404566  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.66591 (* 1 = 9.66591 loss)
I0622 17:54:18.404572  1019 sgd_solver.cpp:170] Iteration 4032, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:19.481475  1019 solver.cpp:350] Iteration 4041 (8.35708 iter/s, 1.07693s/9 iter), 56/101.2ep, loss = 48.794
I0622 17:54:19.481494  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.5681 (* 2 = 37.1362 loss)
I0622 17:54:19.481503  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.654 (* 1 = 11.654 loss)
I0622 17:54:19.481510  1019 sgd_solver.cpp:170] Iteration 4041, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:20.559398  1019 solver.cpp:350] Iteration 4050 (8.34939 iter/s, 1.07792s/9 iter), 56.1/101.2ep, loss = 6.98796
I0622 17:54:20.559417  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.49306 (* 2 = 4.98612 loss)
I0622 17:54:20.559425  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.99801 (* 1 = 1.99801 loss)
I0622 17:54:20.559432  1019 sgd_solver.cpp:170] Iteration 4050, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:21.637722  1019 solver.cpp:350] Iteration 4059 (8.34643 iter/s, 1.0783s/9 iter), 56.2/101.2ep, loss = 63.7614
I0622 17:54:21.637742  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.1461 (* 2 = 48.2921 loss)
I0622 17:54:21.637750  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.4654 (* 1 = 15.4654 loss)
I0622 17:54:21.637758  1019 sgd_solver.cpp:170] Iteration 4059, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:22.710177  1019 solver.cpp:350] Iteration 4068 (8.39193 iter/s, 1.07246s/9 iter), 56.4/101.2ep, loss = 97.0582
I0622 17:54:22.710196  1019 solver.cpp:374]     Train net output #0: loss_bbox = 35.4653 (* 2 = 70.9306 loss)
I0622 17:54:22.710204  1019 solver.cpp:374]     Train net output #1: loss_coverage = 26.1237 (* 1 = 26.1237 loss)
I0622 17:54:22.710211  1019 sgd_solver.cpp:170] Iteration 4068, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:23.780896  1019 solver.cpp:350] Iteration 4077 (8.40567 iter/s, 1.07071s/9 iter), 56.5/101.2ep, loss = 4.1602
I0622 17:54:23.780957  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.32781 (* 2 = 2.65561 loss)
I0622 17:54:23.780969  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.5007 (* 1 = 1.5007 loss)
I0622 17:54:23.780979  1019 sgd_solver.cpp:170] Iteration 4077, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:24.857481  1019 solver.cpp:350] Iteration 4086 (8.35981 iter/s, 1.07658s/9 iter), 56.6/101.2ep, loss = 191.434
I0622 17:54:24.857501  1019 solver.cpp:374]     Train net output #0: loss_bbox = 90.8842 (* 2 = 181.768 loss)
I0622 17:54:24.857508  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.66179 (* 1 = 9.66179 loss)
I0622 17:54:24.857517  1019 sgd_solver.cpp:170] Iteration 4086, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:24.857621  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:24.889173  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:24.977277  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4088.caffemodel
I0622 17:54:25.009991  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4088.solverstate
I0622 17:54:25.030345  1019 solver.cpp:516] Iteration 4088, Testing net (#0)
I0622 17:54:25.208323  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:25.238905  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:25.251669  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.15 (* 2 = 38.2999 loss)
I0622 17:54:25.251685  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0243 (* 1 = 16.0243 loss)
I0622 17:54:25.251693  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:25.251698  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:25.251704  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:25.251725  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.394252s
I0622 17:54:26.206171  1019 solver.cpp:350] Iteration 4095 (22.8281 iter/s, 0.394252s/9 iter), 56.7/101.2ep, loss = 23.8492
I0622 17:54:26.206189  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.01608 (* 2 = 18.0322 loss)
I0622 17:54:26.206197  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.81313 (* 1 = 5.81313 loss)
I0622 17:54:26.206205  1019 sgd_solver.cpp:170] Iteration 4095, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:27.277814  1019 solver.cpp:350] Iteration 4104 (8.39837 iter/s, 1.07164s/9 iter), 56.9/101.2ep, loss = 63.6641
I0622 17:54:27.277834  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.0234 (* 2 = 46.0468 loss)
I0622 17:54:27.277842  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.6134 (* 1 = 17.6134 loss)
I0622 17:54:27.277849  1019 sgd_solver.cpp:170] Iteration 4104, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:28.352007  1019 solver.cpp:350] Iteration 4113 (8.3785 iter/s, 1.07418s/9 iter), 57/101.2ep, loss = 83.816
I0622 17:54:28.352026  1019 solver.cpp:374]     Train net output #0: loss_bbox = 33.1668 (* 2 = 66.3335 loss)
I0622 17:54:28.352035  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.4786 (* 1 = 17.4786 loss)
I0622 17:54:28.352042  1019 sgd_solver.cpp:170] Iteration 4113, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:29.424504  1019 solver.cpp:350] Iteration 4122 (8.39168 iter/s, 1.07249s/9 iter), 57.1/101.2ep, loss = 24.9266
I0622 17:54:29.424522  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.53962 (* 2 = 17.0792 loss)
I0622 17:54:29.424530  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.84347 (* 1 = 7.84347 loss)
I0622 17:54:29.424538  1019 sgd_solver.cpp:170] Iteration 4122, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:30.498546  1019 solver.cpp:350] Iteration 4131 (8.37958 iter/s, 1.07404s/9 iter), 57.2/101.2ep, loss = 51.8813
I0622 17:54:30.498566  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.9498 (* 2 = 35.8997 loss)
I0622 17:54:30.498576  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.9777 (* 1 = 15.9777 loss)
I0622 17:54:30.498586  1019 sgd_solver.cpp:170] Iteration 4131, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:31.572211  1019 solver.cpp:350] Iteration 4140 (8.38258 iter/s, 1.07365s/9 iter), 57.4/101.2ep, loss = 68.9562
I0622 17:54:31.572232  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.8294 (* 2 = 55.6588 loss)
I0622 17:54:31.572239  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.2935 (* 1 = 13.2935 loss)
I0622 17:54:31.572247  1019 sgd_solver.cpp:170] Iteration 4140, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:32.643996  1019 solver.cpp:350] Iteration 4149 (8.39725 iter/s, 1.07178s/9 iter), 57.5/101.2ep, loss = 16.5805
I0622 17:54:32.644016  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.7906 (* 2 = 11.5812 loss)
I0622 17:54:32.644026  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.99537 (* 1 = 4.99537 loss)
I0622 17:54:32.644035  1019 sgd_solver.cpp:170] Iteration 4149, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:33.713817  1019 solver.cpp:350] Iteration 4158 (8.41265 iter/s, 1.06982s/9 iter), 57.6/101.2ep, loss = 31.5687
I0622 17:54:33.713841  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4563 (* 2 = 22.9125 loss)
I0622 17:54:33.713852  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.65222 (* 1 = 8.65222 loss)
I0622 17:54:33.713862  1019 sgd_solver.cpp:170] Iteration 4158, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:33.713965  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:33.745610  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:33.950958  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4161.caffemodel
I0622 17:54:33.983758  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4161.solverstate
I0622 17:54:34.005444  1019 solver.cpp:516] Iteration 4161, Testing net (#0)
I0622 17:54:34.137363  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:34.168972  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:34.224366  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.7701 (* 2 = 39.5401 loss)
I0622 17:54:34.224385  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0877 (* 1 = 19.0877 loss)
I0622 17:54:34.224391  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:34.224397  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:34.224403  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:34.224426  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.51061s
I0622 17:54:35.056825  1019 solver.cpp:350] Iteration 4167 (17.626 iter/s, 0.51061s/9 iter), 57.7/101.2ep, loss = 57.7089
I0622 17:54:35.056848  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.0208 (* 2 = 42.0416 loss)
I0622 17:54:35.056856  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6635 (* 1 = 15.6635 loss)
I0622 17:54:35.056864  1019 sgd_solver.cpp:170] Iteration 4167, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:36.130467  1019 solver.cpp:350] Iteration 4176 (8.38272 iter/s, 1.07364s/9 iter), 57.9/101.2ep, loss = 47.2611
I0622 17:54:36.130486  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.5619 (* 2 = 35.1239 loss)
I0622 17:54:36.130496  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.1333 (* 1 = 12.1333 loss)
I0622 17:54:36.130503  1019 sgd_solver.cpp:170] Iteration 4176, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:37.204246  1019 solver.cpp:350] Iteration 4185 (8.38168 iter/s, 1.07377s/9 iter), 58/101.2ep, loss = 89.4988
I0622 17:54:37.204264  1019 solver.cpp:374]     Train net output #0: loss_bbox = 33.7674 (* 2 = 67.5349 loss)
I0622 17:54:37.204272  1019 solver.cpp:374]     Train net output #1: loss_coverage = 21.96 (* 1 = 21.96 loss)
I0622 17:54:37.204280  1019 sgd_solver.cpp:170] Iteration 4185, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:38.276211  1019 solver.cpp:350] Iteration 4194 (8.39585 iter/s, 1.07196s/9 iter), 58.1/101.2ep, loss = 13.5592
I0622 17:54:38.276230  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.27575 (* 2 = 8.55151 loss)
I0622 17:54:38.276252  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.00377 (* 1 = 5.00377 loss)
I0622 17:54:38.276260  1019 sgd_solver.cpp:170] Iteration 4194, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:39.349736  1019 solver.cpp:350] Iteration 4203 (8.38365 iter/s, 1.07352s/9 iter), 58.2/101.2ep, loss = 36.15
I0622 17:54:39.349756  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.2673 (* 2 = 24.5347 loss)
I0622 17:54:39.349764  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.6114 (* 1 = 11.6114 loss)
I0622 17:54:39.349771  1019 sgd_solver.cpp:170] Iteration 4203, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:40.424055  1019 solver.cpp:350] Iteration 4212 (8.37746 iter/s, 1.07431s/9 iter), 58.4/101.2ep, loss = 65.0294
I0622 17:54:40.424074  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.5522 (* 2 = 51.1044 loss)
I0622 17:54:40.424083  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.9211 (* 1 = 13.9211 loss)
I0622 17:54:40.424090  1019 sgd_solver.cpp:170] Iteration 4212, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:41.493314  1019 solver.cpp:350] Iteration 4221 (8.41711 iter/s, 1.06925s/9 iter), 58.5/101.2ep, loss = 23.193
I0622 17:54:41.493332  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.51886 (* 2 = 17.0377 loss)
I0622 17:54:41.493340  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.15137 (* 1 = 6.15137 loss)
I0622 17:54:41.493347  1019 sgd_solver.cpp:170] Iteration 4221, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:42.565312  1019 solver.cpp:350] Iteration 4230 (8.39562 iter/s, 1.07199s/9 iter), 58.6/101.2ep, loss = 39.8977
I0622 17:54:42.565338  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8687 (* 2 = 27.7374 loss)
I0622 17:54:42.565349  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.1564 (* 1 = 12.1564 loss)
I0622 17:54:42.565357  1019 sgd_solver.cpp:170] Iteration 4230, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:42.565469  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:42.597147  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:42.921550  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4234.caffemodel
I0622 17:54:42.955206  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4234.solverstate
I0622 17:54:42.978760  1019 solver.cpp:516] Iteration 4234, Testing net (#0)
I0622 17:54:43.112246  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:43.143244  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:43.199970  1019 solver.cpp:602]     Test net output #0: loss_bbox = 14.8013 (* 2 = 29.6026 loss)
I0622 17:54:43.199990  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7941 (* 1 = 13.7941 loss)
I0622 17:54:43.199996  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:43.200003  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:43.200009  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:43.200029  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.634728s
I0622 17:54:43.913486  1019 solver.cpp:350] Iteration 4239 (14.1793 iter/s, 0.634728s/9 iter), 58.7/101.2ep, loss = 50.4664
I0622 17:54:43.913506  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.664 (* 2 = 37.3281 loss)
I0622 17:54:43.913516  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.1344 (* 1 = 13.1344 loss)
I0622 17:54:43.913527  1019 sgd_solver.cpp:170] Iteration 4239, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:44.982985  1019 solver.cpp:350] Iteration 4248 (8.41526 iter/s, 1.06949s/9 iter), 58.9/101.2ep, loss = 53.9194
I0622 17:54:44.983006  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.9828 (* 2 = 41.9655 loss)
I0622 17:54:44.983013  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.95 (* 1 = 11.95 loss)
I0622 17:54:44.983021  1019 sgd_solver.cpp:170] Iteration 4248, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:46.052353  1019 solver.cpp:350] Iteration 4257 (8.41624 iter/s, 1.06936s/9 iter), 59/101.2ep, loss = 98.6743
I0622 17:54:46.052376  1019 solver.cpp:374]     Train net output #0: loss_bbox = 36.6028 (* 2 = 73.2056 loss)
I0622 17:54:46.052384  1019 solver.cpp:374]     Train net output #1: loss_coverage = 25.4648 (* 1 = 25.4648 loss)
I0622 17:54:46.052392  1019 sgd_solver.cpp:170] Iteration 4257, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:47.121246  1019 solver.cpp:350] Iteration 4266 (8.41996 iter/s, 1.06889s/9 iter), 59.1/101.2ep, loss = 14.1519
I0622 17:54:47.121266  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.90501 (* 2 = 9.81001 loss)
I0622 17:54:47.121276  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.33799 (* 1 = 4.33799 loss)
I0622 17:54:47.121285  1019 sgd_solver.cpp:170] Iteration 4266, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:48.192032  1019 solver.cpp:350] Iteration 4275 (8.40512 iter/s, 1.07078s/9 iter), 59.2/101.2ep, loss = 37.802
I0622 17:54:48.192052  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.162 (* 2 = 24.3241 loss)
I0622 17:54:48.192060  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.4741 (* 1 = 13.4741 loss)
I0622 17:54:48.192068  1019 sgd_solver.cpp:170] Iteration 4275, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:49.266368  1019 solver.cpp:350] Iteration 4284 (8.37738 iter/s, 1.07432s/9 iter), 59.4/101.2ep, loss = 44.1475
I0622 17:54:49.266387  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.0841 (* 2 = 32.1681 loss)
I0622 17:54:49.266396  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9755 (* 1 = 11.9755 loss)
I0622 17:54:49.266403  1019 sgd_solver.cpp:170] Iteration 4284, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:50.339805  1019 solver.cpp:350] Iteration 4293 (8.3843 iter/s, 1.07343s/9 iter), 59.5/101.2ep, loss = 45.6291
I0622 17:54:50.339824  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.3204 (* 2 = 36.6408 loss)
I0622 17:54:50.339833  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.98439 (* 1 = 8.98439 loss)
I0622 17:54:50.339841  1019 sgd_solver.cpp:170] Iteration 4293, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:51.406800  1019 solver.cpp:350] Iteration 4302 (8.43497 iter/s, 1.06699s/9 iter), 59.6/101.2ep, loss = 25.5611
I0622 17:54:51.406818  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.1122 (* 2 = 16.2244 loss)
I0622 17:54:51.406826  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.33279 (* 1 = 9.33279 loss)
I0622 17:54:51.406833  1019 sgd_solver.cpp:170] Iteration 4302, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:51.406955  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:51.440757  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:51.880069  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4307.caffemodel
I0622 17:54:51.912468  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4307.solverstate
I0622 17:54:51.932687  1019 solver.cpp:516] Iteration 4307, Testing net (#0)
I0622 17:54:52.021839  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:52.053665  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:54:52.153643  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.9774 (* 2 = 43.9547 loss)
I0622 17:54:52.153662  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4868 (* 1 = 19.4868 loss)
I0622 17:54:52.153668  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:54:52.153676  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:54:52.153681  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:54:52.153702  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.746911s
I0622 17:54:52.744995  1019 solver.cpp:350] Iteration 4311 (12.0496 iter/s, 0.746911s/9 iter), 59.7/101.2ep, loss = 69.8929
I0622 17:54:52.745015  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.5423 (* 2 = 55.0847 loss)
I0622 17:54:52.745046  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8043 (* 1 = 14.8043 loss)
I0622 17:54:52.745055  1019 sgd_solver.cpp:170] Iteration 4311, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:53.812517  1019 solver.cpp:350] Iteration 4320 (8.4308 iter/s, 1.06751s/9 iter), 59.9/101.2ep, loss = 36.0614
I0622 17:54:53.812608  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.5322 (* 2 = 29.0644 loss)
I0622 17:54:53.812620  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.99305 (* 1 = 6.99305 loss)
I0622 17:54:53.812628  1019 sgd_solver.cpp:170] Iteration 4320, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:54.878285  1019 solver.cpp:350] Iteration 4329 (8.44468 iter/s, 1.06576s/9 iter), 60/101.2ep, loss = 89.8728
I0622 17:54:54.878304  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.2592 (* 2 = 64.5185 loss)
I0622 17:54:54.878312  1019 solver.cpp:374]     Train net output #1: loss_coverage = 25.3504 (* 1 = 25.3504 loss)
I0622 17:54:54.878321  1019 sgd_solver.cpp:170] Iteration 4329, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:55.950595  1019 solver.cpp:350] Iteration 4338 (8.39309 iter/s, 1.07231s/9 iter), 60.1/101.2ep, loss = 242.783
I0622 17:54:55.950618  1019 solver.cpp:374]     Train net output #0: loss_bbox = 116.488 (* 2 = 232.975 loss)
I0622 17:54:55.950628  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.804 (* 1 = 9.804 loss)
I0622 17:54:55.950637  1019 sgd_solver.cpp:170] Iteration 4338, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:57.019623  1019 solver.cpp:350] Iteration 4347 (8.41896 iter/s, 1.06902s/9 iter), 60.2/101.2ep, loss = 67.0145
I0622 17:54:57.019644  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.1694 (* 2 = 56.3388 loss)
I0622 17:54:57.019651  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.6719 (* 1 = 10.6719 loss)
I0622 17:54:57.019660  1019 sgd_solver.cpp:170] Iteration 4347, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:58.090739  1019 solver.cpp:350] Iteration 4356 (8.40246 iter/s, 1.07111s/9 iter), 60.4/101.2ep, loss = 32.9983
I0622 17:54:58.090759  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.2456 (* 2 = 22.4911 loss)
I0622 17:54:58.090767  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.5033 (* 1 = 10.5033 loss)
I0622 17:54:58.090773  1019 sgd_solver.cpp:170] Iteration 4356, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:54:59.163543  1019 solver.cpp:350] Iteration 4365 (8.38934 iter/s, 1.07279s/9 iter), 60.5/101.2ep, loss = 34.819
I0622 17:54:59.163563  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.4984 (* 2 = 28.9967 loss)
I0622 17:54:59.163570  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.81843 (* 1 = 5.81843 loss)
I0622 17:54:59.163578  1019 sgd_solver.cpp:170] Iteration 4365, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:00.234649  1019 solver.cpp:350] Iteration 4374 (8.40264 iter/s, 1.07109s/9 iter), 60.6/101.2ep, loss = 46.1479
I0622 17:55:00.234676  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.9048 (* 2 = 31.8097 loss)
I0622 17:55:00.234689  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.3344 (* 1 = 14.3344 loss)
I0622 17:55:00.234699  1019 sgd_solver.cpp:170] Iteration 4374, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:00.234809  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:00.270172  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:00.830860  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4380.caffemodel
I0622 17:55:00.863847  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4380.solverstate
I0622 17:55:00.885643  1019 solver.cpp:516] Iteration 4380, Testing net (#0)
I0622 17:55:00.974153  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:01.006517  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:01.105288  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.8997 (* 2 = 31.7994 loss)
I0622 17:55:01.105306  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7908 (* 1 = 15.7908 loss)
I0622 17:55:01.105314  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:01.105320  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:01.105326  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:01.105362  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.870725s
I0622 17:55:01.580301  1019 solver.cpp:350] Iteration 4383 (10.3362 iter/s, 0.870725s/9 iter), 60.7/101.2ep, loss = 10.7139
I0622 17:55:01.580320  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.54075 (* 2 = 7.0815 loss)
I0622 17:55:01.580328  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.62854 (* 1 = 3.62854 loss)
I0622 17:55:01.580335  1019 sgd_solver.cpp:170] Iteration 4383, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:02.652858  1019 solver.cpp:350] Iteration 4392 (8.39116 iter/s, 1.07256s/9 iter), 60.9/101.2ep, loss = 31.3389
I0622 17:55:02.652876  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.6022 (* 2 = 23.2044 loss)
I0622 17:55:02.652885  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.13058 (* 1 = 8.13058 loss)
I0622 17:55:02.652892  1019 sgd_solver.cpp:170] Iteration 4392, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:03.725301  1019 solver.cpp:350] Iteration 4401 (8.39214 iter/s, 1.07243s/9 iter), 61/101.2ep, loss = 67.3934
I0622 17:55:03.725327  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.8795 (* 2 = 51.7589 loss)
I0622 17:55:03.725339  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6306 (* 1 = 15.6306 loss)
I0622 17:55:03.725350  1019 sgd_solver.cpp:170] Iteration 4401, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:04.841944  1019 solver.cpp:350] Iteration 4410 (8.05991 iter/s, 1.11664s/9 iter), 61.1/101.2ep, loss = 686.476
I0622 17:55:04.841969  1019 solver.cpp:374]     Train net output #0: loss_bbox = 336.416 (* 2 = 672.831 loss)
I0622 17:55:04.841979  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.6407 (* 1 = 13.6407 loss)
I0622 17:55:04.841989  1019 sgd_solver.cpp:170] Iteration 4410, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:05.925369  1019 solver.cpp:350] Iteration 4419 (8.30704 iter/s, 1.08342s/9 iter), 61.2/101.2ep, loss = 90.3168
I0622 17:55:05.925390  1019 solver.cpp:374]     Train net output #0: loss_bbox = 36.1011 (* 2 = 72.2023 loss)
I0622 17:55:05.925398  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.1106 (* 1 = 18.1106 loss)
I0622 17:55:05.925406  1019 sgd_solver.cpp:170] Iteration 4419, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:07.013119  1019 solver.cpp:350] Iteration 4428 (8.27412 iter/s, 1.08773s/9 iter), 61.4/101.2ep, loss = 17.0819
I0622 17:55:07.013141  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.11528 (* 2 = 12.2306 loss)
I0622 17:55:07.013154  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.84742 (* 1 = 4.84742 loss)
I0622 17:55:07.013161  1019 sgd_solver.cpp:170] Iteration 4428, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:08.096351  1019 solver.cpp:350] Iteration 4437 (8.30851 iter/s, 1.08323s/9 iter), 61.5/101.2ep, loss = 76.1133
I0622 17:55:08.096370  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.8979 (* 2 = 53.7958 loss)
I0622 17:55:08.096379  1019 solver.cpp:374]     Train net output #1: loss_coverage = 22.3136 (* 1 = 22.3136 loss)
I0622 17:55:08.096386  1019 sgd_solver.cpp:170] Iteration 4437, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:09.165838  1019 solver.cpp:350] Iteration 4446 (8.41534 iter/s, 1.06948s/9 iter), 61.6/101.2ep, loss = 63.0492
I0622 17:55:09.165858  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.493 (* 2 = 46.9859 loss)
I0622 17:55:09.165865  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.0594 (* 1 = 16.0594 loss)
I0622 17:55:09.165874  1019 sgd_solver.cpp:170] Iteration 4446, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:09.165999  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:09.197798  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:09.879180  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4453.caffemodel
I0622 17:55:09.912338  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4453.solverstate
I0622 17:55:09.933753  1019 solver.cpp:516] Iteration 4453, Testing net (#0)
I0622 17:55:09.977891  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:10.013805  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:10.154079  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.4073 (* 2 = 38.8146 loss)
I0622 17:55:10.154103  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.423 (* 1 = 18.423 loss)
I0622 17:55:10.154112  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:10.154120  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:10.154129  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:10.154155  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.988325s
I0622 17:55:10.513165  1019 solver.cpp:350] Iteration 4455 (9.10632 iter/s, 0.988325s/9 iter), 61.7/101.2ep, loss = 12.3531
I0622 17:55:10.513185  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.00806 (* 2 = 8.01613 loss)
I0622 17:55:10.513193  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.333 (* 1 = 4.333 loss)
I0622 17:55:10.513201  1019 sgd_solver.cpp:170] Iteration 4455, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:11.588557  1019 solver.cpp:350] Iteration 4464 (8.36912 iter/s, 1.07538s/9 iter), 61.9/101.2ep, loss = 25.0405
I0622 17:55:11.588577  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.18442 (* 2 = 16.3688 loss)
I0622 17:55:11.588584  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.66773 (* 1 = 8.66773 loss)
I0622 17:55:11.588591  1019 sgd_solver.cpp:170] Iteration 4464, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:12.665752  1019 solver.cpp:350] Iteration 4473 (8.35506 iter/s, 1.07719s/9 iter), 62/101.2ep, loss = 29.7078
I0622 17:55:12.665771  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4355 (* 2 = 22.8711 loss)
I0622 17:55:12.665781  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.83278 (* 1 = 6.83278 loss)
I0622 17:55:12.665791  1019 sgd_solver.cpp:170] Iteration 4473, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:13.742455  1019 solver.cpp:350] Iteration 4482 (8.35891 iter/s, 1.0767s/9 iter), 62.1/101.2ep, loss = 289.33
I0622 17:55:13.742475  1019 solver.cpp:374]     Train net output #0: loss_bbox = 136.842 (* 2 = 273.684 loss)
I0622 17:55:13.742486  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6422 (* 1 = 15.6422 loss)
I0622 17:55:13.742496  1019 sgd_solver.cpp:170] Iteration 4482, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:14.817065  1019 solver.cpp:350] Iteration 4491 (8.37518 iter/s, 1.0746s/9 iter), 62.2/101.2ep, loss = 134.009
I0622 17:55:14.817085  1019 solver.cpp:374]     Train net output #0: loss_bbox = 59.6904 (* 2 = 119.381 loss)
I0622 17:55:14.817100  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.6242 (* 1 = 14.6242 loss)
I0622 17:55:14.817111  1019 sgd_solver.cpp:170] Iteration 4491, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:15.888101  1019 solver.cpp:350] Iteration 4500 (8.40313 iter/s, 1.07103s/9 iter), 62.4/101.2ep, loss = 22.0973
I0622 17:55:15.888120  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.53712 (* 2 = 15.0742 loss)
I0622 17:55:15.888128  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.01908 (* 1 = 7.01908 loss)
I0622 17:55:15.888135  1019 sgd_solver.cpp:170] Iteration 4500, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:16.957643  1019 solver.cpp:350] Iteration 4509 (8.41488 iter/s, 1.06953s/9 iter), 62.5/101.2ep, loss = 48.2028
I0622 17:55:16.957664  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2756 (* 2 = 26.5512 loss)
I0622 17:55:16.957671  1019 solver.cpp:374]     Train net output #1: loss_coverage = 21.6477 (* 1 = 21.6477 loss)
I0622 17:55:16.957679  1019 sgd_solver.cpp:170] Iteration 4509, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:18.026943  1019 solver.cpp:350] Iteration 4518 (8.41681 iter/s, 1.06929s/9 iter), 62.6/101.2ep, loss = 57.7793
I0622 17:55:18.026963  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.237 (* 2 = 42.4741 loss)
I0622 17:55:18.026983  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.3013 (* 1 = 15.3013 loss)
I0622 17:55:18.026991  1019 sgd_solver.cpp:170] Iteration 4518, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:18.027096  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:18.065840  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:18.861769  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4526.caffemodel
I0622 17:55:18.894764  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4526.solverstate
I0622 17:55:18.917057  1019 solver.cpp:516] Iteration 4526, Testing net (#0)
I0622 17:55:18.960922  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:18.997714  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:19.138298  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.6443 (* 2 = 33.2886 loss)
I0622 17:55:19.138317  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.125 (* 1 = 17.125 loss)
I0622 17:55:19.138325  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:19.138331  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:19.138337  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:19.138407  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11147s
I0622 17:55:19.377835  1019 solver.cpp:350] Iteration 4527 (8.09738 iter/s, 1.11147s/9 iter), 62.7/101.2ep, loss = 36.4962
I0622 17:55:19.377856  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.0969 (* 2 = 28.1938 loss)
I0622 17:55:19.377863  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.29847 (* 1 = 8.29847 loss)
I0622 17:55:19.377871  1019 sgd_solver.cpp:170] Iteration 4527, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:20.449053  1019 solver.cpp:350] Iteration 4536 (8.40166 iter/s, 1.07122s/9 iter), 62.9/101.2ep, loss = 36.4643
I0622 17:55:20.449071  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8218 (* 2 = 25.6437 loss)
I0622 17:55:20.449080  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.8167 (* 1 = 10.8167 loss)
I0622 17:55:20.449087  1019 sgd_solver.cpp:170] Iteration 4536, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:21.539855  1019 solver.cpp:350] Iteration 4545 (8.25087 iter/s, 1.09079s/9 iter), 63/101.2ep, loss = 19.9149
I0622 17:55:21.539880  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.30959 (* 2 = 14.6192 loss)
I0622 17:55:21.539889  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.29179 (* 1 = 5.29179 loss)
I0622 17:55:21.539898  1019 sgd_solver.cpp:170] Iteration 4545, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:22.629943  1019 solver.cpp:350] Iteration 4554 (8.25627 iter/s, 1.09008s/9 iter), 63.1/101.2ep, loss = 27.6762
I0622 17:55:22.629967  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4272 (* 2 = 22.8543 loss)
I0622 17:55:22.629976  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.81788 (* 1 = 4.81788 loss)
I0622 17:55:22.629983  1019 sgd_solver.cpp:170] Iteration 4554, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:23.720667  1019 solver.cpp:350] Iteration 4563 (8.25149 iter/s, 1.09071s/9 iter), 63.2/101.2ep, loss = 103.018
I0622 17:55:23.720687  1019 solver.cpp:374]     Train net output #0: loss_bbox = 42.8815 (* 2 = 85.7629 loss)
I0622 17:55:23.720697  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.2514 (* 1 = 17.2514 loss)
I0622 17:55:23.720711  1019 sgd_solver.cpp:170] Iteration 4563, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:24.799160  1019 solver.cpp:350] Iteration 4572 (8.34505 iter/s, 1.07848s/9 iter), 63.4/101.2ep, loss = 19.9261
I0622 17:55:24.799265  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.70252 (* 2 = 13.405 loss)
I0622 17:55:24.799275  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.51712 (* 1 = 6.51712 loss)
I0622 17:55:24.799283  1019 sgd_solver.cpp:170] Iteration 4572, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:25.875488  1019 solver.cpp:350] Iteration 4581 (8.36176 iter/s, 1.07633s/9 iter), 63.5/101.2ep, loss = 51.4832
I0622 17:55:25.875509  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.164 (* 2 = 34.3279 loss)
I0622 17:55:25.875516  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.1513 (* 1 = 17.1513 loss)
I0622 17:55:25.875524  1019 sgd_solver.cpp:170] Iteration 4581, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:26.949393  1019 solver.cpp:350] Iteration 4590 (8.38073 iter/s, 1.07389s/9 iter), 63.6/101.2ep, loss = 42.0275
I0622 17:55:26.949412  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5261 (* 2 = 31.0523 loss)
I0622 17:55:26.949421  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.9713 (* 1 = 10.9713 loss)
I0622 17:55:26.949429  1019 sgd_solver.cpp:170] Iteration 4590, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:26.949544  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:26.980551  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:27.904464  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4599.caffemodel
I0622 17:55:27.936554  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4599.solverstate
I0622 17:55:27.957296  1019 solver.cpp:516] Iteration 4599, Testing net (#0)
I0622 17:55:27.957425  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:27.993391  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:28.179569  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.5176 (* 2 = 33.0353 loss)
I0622 17:55:28.179589  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3217 (* 1 = 15.3217 loss)
I0622 17:55:28.179596  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:28.179602  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:28.179608  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:28.179631  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.23025s
I0622 17:55:28.299937  1019 solver.cpp:350] Iteration 4599 (7.31562 iter/s, 1.23025s/9 iter), 63.7/101.2ep, loss = 46.3319
I0622 17:55:28.299955  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.9093 (* 2 = 35.8186 loss)
I0622 17:55:28.299963  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.5094 (* 1 = 10.5094 loss)
I0622 17:55:28.299970  1019 sgd_solver.cpp:170] Iteration 4599, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:29.374166  1019 solver.cpp:350] Iteration 4608 (8.37814 iter/s, 1.07422s/9 iter), 63.9/101.2ep, loss = 71.1968
I0622 17:55:29.374186  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.6941 (* 2 = 51.3883 loss)
I0622 17:55:29.374194  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.8045 (* 1 = 19.8045 loss)
I0622 17:55:29.374200  1019 sgd_solver.cpp:170] Iteration 4608, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:30.447355  1019 solver.cpp:350] Iteration 4617 (8.38634 iter/s, 1.07317s/9 iter), 64/101.2ep, loss = 38.1254
I0622 17:55:30.447373  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.4875 (* 2 = 28.9749 loss)
I0622 17:55:30.447381  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.14656 (* 1 = 9.14656 loss)
I0622 17:55:30.447388  1019 sgd_solver.cpp:170] Iteration 4617, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:31.517957  1019 solver.cpp:350] Iteration 4626 (8.40648 iter/s, 1.0706s/9 iter), 64.1/101.2ep, loss = 21.6234
I0622 17:55:31.517976  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.73201 (* 2 = 17.464 loss)
I0622 17:55:31.517984  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.1554 (* 1 = 4.1554 loss)
I0622 17:55:31.517992  1019 sgd_solver.cpp:170] Iteration 4626, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:32.586647  1019 solver.cpp:350] Iteration 4635 (8.42163 iter/s, 1.06868s/9 iter), 64.2/101.2ep, loss = 101.552
I0622 17:55:32.586669  1019 solver.cpp:374]     Train net output #0: loss_bbox = 43.3023 (* 2 = 86.6046 loss)
I0622 17:55:32.586681  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9434 (* 1 = 14.9434 loss)
I0622 17:55:32.586693  1019 sgd_solver.cpp:170] Iteration 4635, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:33.657749  1019 solver.cpp:350] Iteration 4644 (8.40257 iter/s, 1.0711s/9 iter), 64.4/101.2ep, loss = 30.9424
I0622 17:55:33.657768  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.4918 (* 2 = 22.9836 loss)
I0622 17:55:33.657778  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.95478 (* 1 = 7.95478 loss)
I0622 17:55:33.657785  1019 sgd_solver.cpp:170] Iteration 4644, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:34.728853  1019 solver.cpp:350] Iteration 4653 (8.40261 iter/s, 1.0711s/9 iter), 64.5/101.2ep, loss = 9.07969
I0622 17:55:34.728874  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.20512 (* 2 = 6.41024 loss)
I0622 17:55:34.728883  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.6655 (* 1 = 2.6655 loss)
I0622 17:55:34.728889  1019 sgd_solver.cpp:170] Iteration 4653, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:35.804175  1019 solver.cpp:350] Iteration 4662 (8.36968 iter/s, 1.07531s/9 iter), 64.6/101.2ep, loss = 29.3509
I0622 17:55:35.804195  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.0839 (* 2 = 20.1678 loss)
I0622 17:55:35.804203  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.17914 (* 1 = 9.17914 loss)
I0622 17:55:35.804210  1019 sgd_solver.cpp:170] Iteration 4662, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:35.804327  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:35.834736  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:36.879345  1019 solver.cpp:350] Iteration 4671 (8.37081 iter/s, 1.07516s/9 iter), 64.7/101.2ep, loss = 102.685
I0622 17:55:36.879364  1019 solver.cpp:374]     Train net output #0: loss_bbox = 42.1445 (* 2 = 84.2891 loss)
I0622 17:55:36.879372  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.3922 (* 1 = 18.3922 loss)
I0622 17:55:36.879379  1019 sgd_solver.cpp:170] Iteration 4671, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:36.879391  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4672.caffemodel
I0622 17:55:36.913064  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4672.solverstate
I0622 17:55:36.933930  1019 solver.cpp:516] Iteration 4672, Testing net (#0)
I0622 17:55:36.934064  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:36.965791  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:37.111052  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:37.141053  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:37.154651  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.36 (* 2 = 34.7199 loss)
I0622 17:55:37.154669  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8547 (* 1 = 17.8547 loss)
I0622 17:55:37.154675  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:37.154681  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:37.154687  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:37.154707  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.27537s
I0622 17:55:38.231372  1019 solver.cpp:350] Iteration 4680 (32.6833 iter/s, 0.27537s/9 iter), 64.8/101.2ep, loss = 45.3148
I0622 17:55:38.231391  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.8217 (* 2 = 29.6434 loss)
I0622 17:55:38.231401  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6674 (* 1 = 15.6674 loss)
I0622 17:55:38.231410  1019 sgd_solver.cpp:170] Iteration 4680, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:39.302922  1019 solver.cpp:350] Iteration 4689 (8.3991 iter/s, 1.07154s/9 iter), 65/101.2ep, loss = 27.4323
I0622 17:55:39.302942  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.0621 (* 2 = 22.1242 loss)
I0622 17:55:39.302949  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.30415 (* 1 = 5.30415 loss)
I0622 17:55:39.302956  1019 sgd_solver.cpp:170] Iteration 4689, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:40.373261  1019 solver.cpp:350] Iteration 4698 (8.4086 iter/s, 1.07033s/9 iter), 65.1/101.2ep, loss = 18.0741
I0622 17:55:40.373281  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.36511 (* 2 = 10.7302 loss)
I0622 17:55:40.373287  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.3399 (* 1 = 7.3399 loss)
I0622 17:55:40.373294  1019 sgd_solver.cpp:170] Iteration 4698, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:41.449865  1019 solver.cpp:350] Iteration 4707 (8.35969 iter/s, 1.0766s/9 iter), 65.2/101.2ep, loss = 80.1658
I0622 17:55:41.449884  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.2093 (* 2 = 60.4187 loss)
I0622 17:55:41.449892  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.7432 (* 1 = 19.7432 loss)
I0622 17:55:41.449899  1019 sgd_solver.cpp:170] Iteration 4707, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:42.528162  1019 solver.cpp:350] Iteration 4716 (8.34651 iter/s, 1.07829s/9 iter), 65.3/101.2ep, loss = 18.0853
I0622 17:55:42.528182  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.37069 (* 2 = 12.7414 loss)
I0622 17:55:42.528189  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.34001 (* 1 = 5.34001 loss)
I0622 17:55:42.528195  1019 sgd_solver.cpp:170] Iteration 4716, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:43.601461  1019 solver.cpp:350] Iteration 4725 (8.38543 iter/s, 1.07329s/9 iter), 65.5/101.2ep, loss = 38.6503
I0622 17:55:43.601481  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.1703 (* 2 = 30.3406 loss)
I0622 17:55:43.601488  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.30579 (* 1 = 8.30579 loss)
I0622 17:55:43.601496  1019 sgd_solver.cpp:170] Iteration 4725, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:44.672216  1019 solver.cpp:350] Iteration 4734 (8.40529 iter/s, 1.07075s/9 iter), 65.6/101.2ep, loss = 68.1693
I0622 17:55:44.672235  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.8407 (* 2 = 49.6815 loss)
I0622 17:55:44.672243  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.4839 (* 1 = 18.4839 loss)
I0622 17:55:44.672250  1019 sgd_solver.cpp:170] Iteration 4734, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:44.672349  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:44.704365  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:45.740943  1019 solver.cpp:350] Iteration 4743 (8.42134 iter/s, 1.06871s/9 iter), 65.7/101.2ep, loss = 62.2284
I0622 17:55:45.740963  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.8895 (* 2 = 49.7789 loss)
I0622 17:55:45.740973  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.4455 (* 1 = 12.4455 loss)
I0622 17:55:45.740983  1019 sgd_solver.cpp:170] Iteration 4743, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:45.859455  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4745.caffemodel
I0622 17:55:45.895733  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4745.solverstate
I0622 17:55:45.917675  1019 solver.cpp:516] Iteration 4745, Testing net (#0)
I0622 17:55:46.093477  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:46.125282  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:46.136787  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.9389 (* 2 = 35.8778 loss)
I0622 17:55:46.136806  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0187 (* 1 = 16.0187 loss)
I0622 17:55:46.136811  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:46.136818  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:46.136837  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:46.136860  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.395925s
I0622 17:55:47.090952  1019 solver.cpp:350] Iteration 4752 (22.7316 iter/s, 0.395925s/9 iter), 65.8/101.2ep, loss = 24.4772
I0622 17:55:47.090972  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.1525 (* 2 = 16.305 loss)
I0622 17:55:47.090981  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16823 (* 1 = 8.16823 loss)
I0622 17:55:47.090988  1019 sgd_solver.cpp:170] Iteration 4752, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:48.163250  1019 solver.cpp:350] Iteration 4761 (8.39325 iter/s, 1.07229s/9 iter), 66/101.2ep, loss = 18.1975
I0622 17:55:48.163269  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.7657 (* 2 = 13.5314 loss)
I0622 17:55:48.163276  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.66215 (* 1 = 4.66215 loss)
I0622 17:55:48.163285  1019 sgd_solver.cpp:170] Iteration 4761, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:49.235985  1019 solver.cpp:350] Iteration 4770 (8.38983 iter/s, 1.07273s/9 iter), 66.1/101.2ep, loss = 25.2391
I0622 17:55:49.236003  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.60313 (* 2 = 15.2063 loss)
I0622 17:55:49.236011  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.0289 (* 1 = 10.0289 loss)
I0622 17:55:49.236018  1019 sgd_solver.cpp:170] Iteration 4770, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:50.312242  1019 solver.cpp:350] Iteration 4779 (8.36238 iter/s, 1.07625s/9 iter), 66.2/101.2ep, loss = 40.4112
I0622 17:55:50.312260  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.714 (* 2 = 27.4279 loss)
I0622 17:55:50.312268  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9794 (* 1 = 12.9794 loss)
I0622 17:55:50.312275  1019 sgd_solver.cpp:170] Iteration 4779, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:51.385337  1019 solver.cpp:350] Iteration 4788 (8.38702 iter/s, 1.07309s/9 iter), 66.3/101.2ep, loss = 14.5278
I0622 17:55:51.385356  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.50909 (* 2 = 9.01819 loss)
I0622 17:55:51.385363  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.50566 (* 1 = 5.50566 loss)
I0622 17:55:51.385371  1019 sgd_solver.cpp:170] Iteration 4788, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:52.456193  1019 solver.cpp:350] Iteration 4797 (8.40448 iter/s, 1.07086s/9 iter), 66.5/101.2ep, loss = 38.3142
I0622 17:55:52.456212  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.7835 (* 2 = 29.567 loss)
I0622 17:55:52.456220  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.74324 (* 1 = 8.74324 loss)
I0622 17:55:52.456228  1019 sgd_solver.cpp:170] Iteration 4797, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:53.526146  1019 solver.cpp:350] Iteration 4806 (8.41164 iter/s, 1.06995s/9 iter), 66.6/101.2ep, loss = 84.9203
I0622 17:55:53.526165  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.3341 (* 2 = 60.6681 loss)
I0622 17:55:53.526173  1019 solver.cpp:374]     Train net output #1: loss_coverage = 24.2483 (* 1 = 24.2483 loss)
I0622 17:55:53.526180  1019 sgd_solver.cpp:170] Iteration 4806, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:53.526293  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:53.567082  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:54.598187  1019 solver.cpp:350] Iteration 4815 (8.39525 iter/s, 1.07203s/9 iter), 66.7/101.2ep, loss = 91.8758
I0622 17:55:54.598207  1019 solver.cpp:374]     Train net output #0: loss_bbox = 37.6227 (* 2 = 75.2455 loss)
I0622 17:55:54.598215  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.6264 (* 1 = 16.6264 loss)
I0622 17:55:54.598223  1019 sgd_solver.cpp:170] Iteration 4815, lr = 1e-05, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:54.836308  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4818.caffemodel
I0622 17:55:54.869371  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4818.solverstate
I0622 17:55:54.890076  1019 solver.cpp:516] Iteration 4818, Testing net (#0)
I0622 17:55:55.023948  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:55.059989  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:55:55.112260  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.5458 (* 2 = 37.0916 loss)
I0622 17:55:55.112278  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0841 (* 1 = 19.0841 loss)
I0622 17:55:55.112285  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:55:55.112291  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:55:55.112298  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:55:55.112319  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.514134s
I0622 17:55:55.947880  1019 solver.cpp:350] Iteration 4824 (17.5052 iter/s, 0.514134s/9 iter), 66.8/101.2ep, loss = 18.0369
I0622 17:55:55.947899  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.01062 (* 2 = 12.0212 loss)
I0622 17:55:55.947907  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.01175 (* 1 = 6.01175 loss)
I0622 17:55:55.947914  1019 sgd_solver.cpp:170] Iteration 4824, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:57.019997  1019 solver.cpp:350] Iteration 4833 (8.39467 iter/s, 1.07211s/9 iter), 67/101.2ep, loss = 17.9432
I0622 17:55:57.020015  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.38258 (* 2 = 12.7652 loss)
I0622 17:55:57.020023  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.17415 (* 1 = 5.17415 loss)
I0622 17:55:57.020030  1019 sgd_solver.cpp:170] Iteration 4833, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:58.091125  1019 solver.cpp:350] Iteration 4842 (8.40242 iter/s, 1.07112s/9 iter), 67.1/101.2ep, loss = 25.3783
I0622 17:55:58.091142  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.34749 (* 2 = 14.695 loss)
I0622 17:55:58.091150  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.6794 (* 1 = 10.6794 loss)
I0622 17:55:58.091157  1019 sgd_solver.cpp:170] Iteration 4842, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:55:59.162495  1019 solver.cpp:350] Iteration 4851 (8.40048 iter/s, 1.07137s/9 iter), 67.2/101.2ep, loss = 28.3102
I0622 17:55:59.162513  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2455 (* 2 = 20.4909 loss)
I0622 17:55:59.162521  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.81534 (* 1 = 7.81534 loss)
I0622 17:55:59.162528  1019 sgd_solver.cpp:170] Iteration 4851, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:00.229625  1019 solver.cpp:350] Iteration 4860 (8.43393 iter/s, 1.06712s/9 iter), 67.3/101.2ep, loss = 15.5124
I0622 17:56:00.229645  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.72639 (* 2 = 9.45278 loss)
I0622 17:56:00.229651  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.05571 (* 1 = 6.05571 loss)
I0622 17:56:00.229661  1019 sgd_solver.cpp:170] Iteration 4860, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:01.297289  1019 solver.cpp:350] Iteration 4869 (8.42966 iter/s, 1.06766s/9 iter), 67.5/101.2ep, loss = 34.457
I0622 17:56:01.297308  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.0227 (* 2 = 28.0454 loss)
I0622 17:56:01.297317  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.4077 (* 1 = 6.4077 loss)
I0622 17:56:01.297332  1019 sgd_solver.cpp:170] Iteration 4869, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:02.367646  1019 solver.cpp:350] Iteration 4878 (8.40845 iter/s, 1.07035s/9 iter), 67.6/101.2ep, loss = 70.1742
I0622 17:56:02.367671  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.1899 (* 2 = 50.3797 loss)
I0622 17:56:02.367679  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.7905 (* 1 = 19.7905 loss)
I0622 17:56:02.367686  1019 sgd_solver.cpp:170] Iteration 4878, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:02.367799  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:02.398355  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:03.437281  1019 solver.cpp:350] Iteration 4887 (8.41416 iter/s, 1.06962s/9 iter), 67.7/101.2ep, loss = 29.9287
I0622 17:56:03.437301  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.2127 (* 2 = 22.4255 loss)
I0622 17:56:03.437309  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.4993 (* 1 = 7.4993 loss)
I0622 17:56:03.437317  1019 sgd_solver.cpp:170] Iteration 4887, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:03.795788  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4891.caffemodel
I0622 17:56:03.828294  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4891.solverstate
I0622 17:56:03.848675  1019 solver.cpp:516] Iteration 4891, Testing net (#0)
I0622 17:56:03.979444  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:04.017817  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:04.068737  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.9123 (* 2 = 27.8245 loss)
I0622 17:56:04.068758  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7901 (* 1 = 13.7901 loss)
I0622 17:56:04.068764  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:04.068770  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:04.068776  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:04.068796  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.631523s
I0622 17:56:04.783836  1019 solver.cpp:350] Iteration 4896 (14.2513 iter/s, 0.631523s/9 iter), 67.8/101.2ep, loss = 30.3736
I0622 17:56:04.783861  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.7075 (* 2 = 23.4149 loss)
I0622 17:56:04.783872  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.95474 (* 1 = 6.95474 loss)
I0622 17:56:04.783881  1019 sgd_solver.cpp:170] Iteration 4896, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:05.856992  1019 solver.cpp:350] Iteration 4905 (8.38658 iter/s, 1.07314s/9 iter), 68/101.2ep, loss = 37.6579
I0622 17:56:05.857012  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.9795 (* 2 = 23.959 loss)
I0622 17:56:05.857020  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.695 (* 1 = 13.695 loss)
I0622 17:56:05.857028  1019 sgd_solver.cpp:170] Iteration 4905, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:06.928969  1019 solver.cpp:350] Iteration 4914 (8.39578 iter/s, 1.07197s/9 iter), 68.1/101.2ep, loss = 41.0912
I0622 17:56:06.928989  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.875 (* 2 = 25.7499 loss)
I0622 17:56:06.929002  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.3373 (* 1 = 15.3373 loss)
I0622 17:56:06.929013  1019 sgd_solver.cpp:170] Iteration 4914, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:08.002912  1019 solver.cpp:350] Iteration 4923 (8.3804 iter/s, 1.07393s/9 iter), 68.2/101.2ep, loss = 0.0142162
I0622 17:56:08.002933  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:56:08.002944  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0102715 (* 1 = 0.0102715 loss)
I0622 17:56:08.002954  1019 sgd_solver.cpp:170] Iteration 4923, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:09.072654  1019 solver.cpp:350] Iteration 4932 (8.41337 iter/s, 1.06973s/9 iter), 68.3/101.2ep, loss = 22.6915
I0622 17:56:09.072679  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.01374 (* 2 = 14.0275 loss)
I0622 17:56:09.072692  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.6601 (* 1 = 8.6601 loss)
I0622 17:56:09.072701  1019 sgd_solver.cpp:170] Iteration 4932, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:10.142830  1019 solver.cpp:350] Iteration 4941 (8.40985 iter/s, 1.07017s/9 iter), 68.5/101.2ep, loss = 62.1991
I0622 17:56:10.142849  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.2698 (* 2 = 46.5396 loss)
I0622 17:56:10.142858  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6556 (* 1 = 15.6556 loss)
I0622 17:56:10.142877  1019 sgd_solver.cpp:170] Iteration 4941, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:11.214725  1019 solver.cpp:350] Iteration 4950 (8.39643 iter/s, 1.07188s/9 iter), 68.6/101.2ep, loss = 36.8492
I0622 17:56:11.214743  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.9164 (* 2 = 25.8329 loss)
I0622 17:56:11.214752  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.0123 (* 1 = 11.0123 loss)
I0622 17:56:11.214759  1019 sgd_solver.cpp:170] Iteration 4950, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:11.214872  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:11.245785  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:12.288733  1019 solver.cpp:350] Iteration 4959 (8.37983 iter/s, 1.07401s/9 iter), 68.7/101.2ep, loss = 23.8378
I0622 17:56:12.288753  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.63886 (* 2 = 17.2777 loss)
I0622 17:56:12.288760  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.55611 (* 1 = 6.55611 loss)
I0622 17:56:12.288767  1019 sgd_solver.cpp:170] Iteration 4959, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:12.766199  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_4964.caffemodel
I0622 17:56:12.798869  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_4964.solverstate
I0622 17:56:12.819335  1019 solver.cpp:516] Iteration 4964, Testing net (#0)
I0622 17:56:12.907372  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:12.938633  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:13.037530  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.3712 (* 2 = 42.7423 loss)
I0622 17:56:13.037549  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4797 (* 1 = 19.4797 loss)
I0622 17:56:13.037556  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:13.037562  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:13.037569  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:13.037590  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.74886s
I0622 17:56:13.634276  1019 solver.cpp:350] Iteration 4968 (12.0183 iter/s, 0.74886s/9 iter), 68.8/101.2ep, loss = 32.0533
I0622 17:56:13.634296  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.5305 (* 2 = 23.061 loss)
I0622 17:56:13.634305  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.9884 (* 1 = 8.9884 loss)
I0622 17:56:13.634312  1019 sgd_solver.cpp:170] Iteration 4968, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:14.709280  1019 solver.cpp:350] Iteration 4977 (8.37212 iter/s, 1.075s/9 iter), 69/101.2ep, loss = 39.2821
I0622 17:56:14.709300  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.4027 (* 2 = 24.8055 loss)
I0622 17:56:14.709308  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.4727 (* 1 = 14.4727 loss)
I0622 17:56:14.709316  1019 sgd_solver.cpp:170] Iteration 4977, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:15.784781  1019 solver.cpp:350] Iteration 4986 (8.36819 iter/s, 1.0755s/9 iter), 69.1/101.2ep, loss = 51.2172
I0622 17:56:15.784801  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.0702 (* 2 = 36.1404 loss)
I0622 17:56:15.784809  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.0729 (* 1 = 15.0729 loss)
I0622 17:56:15.784816  1019 sgd_solver.cpp:170] Iteration 4986, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:16.856168  1019 solver.cpp:350] Iteration 4995 (8.40044 iter/s, 1.07137s/9 iter), 69.2/101.2ep, loss = 0.0224609
I0622 17:56:16.856192  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:56:16.856206  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.018512 (* 1 = 0.018512 loss)
I0622 17:56:16.856216  1019 sgd_solver.cpp:170] Iteration 4995, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:17.929893  1019 solver.cpp:350] Iteration 5004 (8.38202 iter/s, 1.07373s/9 iter), 69.3/101.2ep, loss = 26.6914
I0622 17:56:17.929927  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.6885 (* 2 = 19.377 loss)
I0622 17:56:17.929936  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.31046 (* 1 = 7.31046 loss)
I0622 17:56:17.929944  1019 sgd_solver.cpp:170] Iteration 5004, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:18.999299  1019 solver.cpp:350] Iteration 5013 (8.41601 iter/s, 1.06939s/9 iter), 69.5/101.2ep, loss = 67.8782
I0622 17:56:18.999317  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.8024 (* 2 = 45.6049 loss)
I0622 17:56:18.999326  1019 solver.cpp:374]     Train net output #1: loss_coverage = 22.2693 (* 1 = 22.2693 loss)
I0622 17:56:18.999333  1019 sgd_solver.cpp:170] Iteration 5013, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:20.075546  1019 solver.cpp:350] Iteration 5022 (8.36246 iter/s, 1.07624s/9 iter), 69.6/101.2ep, loss = 17.5502
I0622 17:56:20.075565  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.85023 (* 2 = 11.7005 loss)
I0622 17:56:20.075573  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.84584 (* 1 = 5.84584 loss)
I0622 17:56:20.075580  1019 sgd_solver.cpp:170] Iteration 5022, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:20.075693  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:20.107547  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:21.146247  1019 solver.cpp:350] Iteration 5031 (8.40574 iter/s, 1.0707s/9 iter), 69.7/101.2ep, loss = 22.9174
I0622 17:56:21.146267  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.19597 (* 2 = 18.3919 loss)
I0622 17:56:21.146275  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.52148 (* 1 = 4.52148 loss)
I0622 17:56:21.146282  1019 sgd_solver.cpp:170] Iteration 5031, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:21.743836  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5037.caffemodel
I0622 17:56:21.776628  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5037.solverstate
I0622 17:56:21.798599  1019 solver.cpp:516] Iteration 5037, Testing net (#0)
I0622 17:56:21.887154  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:21.918196  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:22.018848  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.3548 (* 2 = 30.7097 loss)
I0622 17:56:22.018867  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7865 (* 1 = 15.7865 loss)
I0622 17:56:22.018874  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:22.018882  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:22.018900  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:22.018921  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.872682s
I0622 17:56:22.496682  1019 solver.cpp:350] Iteration 5040 (10.313 iter/s, 0.872682s/9 iter), 69.8/101.2ep, loss = 27.6266
I0622 17:56:22.496702  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2365 (* 2 = 20.4729 loss)
I0622 17:56:22.496711  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.14969 (* 1 = 7.14969 loss)
I0622 17:56:22.496717  1019 sgd_solver.cpp:170] Iteration 5040, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:23.570188  1019 solver.cpp:350] Iteration 5049 (8.38384 iter/s, 1.07349s/9 iter), 70/101.2ep, loss = 29.2533
I0622 17:56:23.570206  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.95869 (* 2 = 17.9174 loss)
I0622 17:56:23.570217  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.332 (* 1 = 11.332 loss)
I0622 17:56:23.570225  1019 sgd_solver.cpp:170] Iteration 5049, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:24.640664  1019 solver.cpp:350] Iteration 5058 (8.40752 iter/s, 1.07047s/9 iter), 70.1/101.2ep, loss = 44.4375
I0622 17:56:24.640684  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.0646 (* 2 = 28.1291 loss)
I0622 17:56:24.640693  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.3044 (* 1 = 16.3044 loss)
I0622 17:56:24.640713  1019 sgd_solver.cpp:170] Iteration 5058, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:25.712543  1019 solver.cpp:350] Iteration 5067 (8.39653 iter/s, 1.07187s/9 iter), 70.2/101.2ep, loss = 0.0169449
I0622 17:56:25.712641  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:56:25.712651  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0130006 (* 1 = 0.0130006 loss)
I0622 17:56:25.712658  1019 sgd_solver.cpp:170] Iteration 5067, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:26.785197  1019 solver.cpp:350] Iteration 5076 (8.39047 iter/s, 1.07265s/9 iter), 70.3/101.2ep, loss = 14.7351
I0622 17:56:26.785218  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.85847 (* 2 = 9.71694 loss)
I0622 17:56:26.785229  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.0142 (* 1 = 5.0142 loss)
I0622 17:56:26.785238  1019 sgd_solver.cpp:170] Iteration 5076, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:27.858978  1019 solver.cpp:350] Iteration 5085 (8.38167 iter/s, 1.07377s/9 iter), 70.5/101.2ep, loss = 83.5584
I0622 17:56:27.858999  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.4636 (* 2 = 54.9272 loss)
I0622 17:56:27.859007  1019 solver.cpp:374]     Train net output #1: loss_coverage = 28.6273 (* 1 = 28.6273 loss)
I0622 17:56:27.859014  1019 sgd_solver.cpp:170] Iteration 5085, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:28.942136  1019 solver.cpp:350] Iteration 5094 (8.30904 iter/s, 1.08316s/9 iter), 70.6/101.2ep, loss = 36.6805
I0622 17:56:28.942155  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.1877 (* 2 = 26.3754 loss)
I0622 17:56:28.942164  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3012 (* 1 = 10.3012 loss)
I0622 17:56:28.942171  1019 sgd_solver.cpp:170] Iteration 5094, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:28.942289  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:28.973626  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:30.022969  1019 solver.cpp:350] Iteration 5103 (8.32699 iter/s, 1.08082s/9 iter), 70.7/101.2ep, loss = 24.4689
I0622 17:56:30.022987  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.22423 (* 2 = 18.4485 loss)
I0622 17:56:30.022995  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.01653 (* 1 = 6.01653 loss)
I0622 17:56:30.023002  1019 sgd_solver.cpp:170] Iteration 5103, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:30.743407  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5110.caffemodel
I0622 17:56:30.779461  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5110.solverstate
I0622 17:56:30.803611  1019 solver.cpp:516] Iteration 5110, Testing net (#0)
I0622 17:56:30.847445  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:30.878235  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:31.022014  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.9713 (* 2 = 37.9425 loss)
I0622 17:56:31.022033  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.416 (* 1 = 18.416 loss)
I0622 17:56:31.022040  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:31.022047  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:31.022053  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:31.022073  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.999109s
I0622 17:56:31.380787  1019 solver.cpp:350] Iteration 5112 (9.00802 iter/s, 0.999109s/9 iter), 70.8/101.2ep, loss = 3.07736
I0622 17:56:31.380807  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.860066 (* 2 = 1.72013 loss)
I0622 17:56:31.380815  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.35327 (* 1 = 1.35327 loss)
I0622 17:56:31.380823  1019 sgd_solver.cpp:170] Iteration 5112, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:32.456718  1019 solver.cpp:350] Iteration 5121 (8.36492 iter/s, 1.07592s/9 iter), 71/101.2ep, loss = 27.4882
I0622 17:56:32.456737  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.66631 (* 2 = 19.3326 loss)
I0622 17:56:32.456745  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.15168 (* 1 = 8.15168 loss)
I0622 17:56:32.456753  1019 sgd_solver.cpp:170] Iteration 5121, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:33.531355  1019 solver.cpp:350] Iteration 5130 (8.37496 iter/s, 1.07463s/9 iter), 71.1/101.2ep, loss = 6.3127
I0622 17:56:33.531373  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.9782 (* 2 = 3.9564 loss)
I0622 17:56:33.531381  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.35234 (* 1 = 2.35234 loss)
I0622 17:56:33.531388  1019 sgd_solver.cpp:170] Iteration 5130, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:34.601410  1019 solver.cpp:350] Iteration 5139 (8.4108 iter/s, 1.07005s/9 iter), 71.2/101.2ep, loss = 0.0125351
I0622 17:56:34.601428  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:56:34.601436  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00859297 (* 1 = 0.00859297 loss)
I0622 17:56:34.601444  1019 sgd_solver.cpp:170] Iteration 5139, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:35.670625  1019 solver.cpp:350] Iteration 5148 (8.41748 iter/s, 1.0692s/9 iter), 71.3/101.2ep, loss = 4.53035
I0622 17:56:35.670642  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.24469 (* 2 = 2.48938 loss)
I0622 17:56:35.670650  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.03702 (* 1 = 2.03702 loss)
I0622 17:56:35.670657  1019 sgd_solver.cpp:170] Iteration 5148, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:36.738991  1019 solver.cpp:350] Iteration 5157 (8.42414 iter/s, 1.06836s/9 iter), 71.5/101.2ep, loss = 29.2385
I0622 17:56:36.739011  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.53223 (* 2 = 19.0645 loss)
I0622 17:56:36.739018  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1701 (* 1 = 10.1701 loss)
I0622 17:56:36.739027  1019 sgd_solver.cpp:170] Iteration 5157, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:37.806185  1019 solver.cpp:350] Iteration 5166 (8.43336 iter/s, 1.06719s/9 iter), 71.6/101.2ep, loss = 31.8912
I0622 17:56:37.806203  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.0524 (* 2 = 24.1047 loss)
I0622 17:56:37.806211  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.78255 (* 1 = 7.78255 loss)
I0622 17:56:37.806218  1019 sgd_solver.cpp:170] Iteration 5166, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:37.806336  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:37.842730  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:38.876001  1019 solver.cpp:350] Iteration 5175 (8.41274 iter/s, 1.06981s/9 iter), 71.7/101.2ep, loss = 25.958
I0622 17:56:38.876024  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.89019 (* 2 = 19.7804 loss)
I0622 17:56:38.876034  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.17363 (* 1 = 6.17363 loss)
I0622 17:56:38.876040  1019 sgd_solver.cpp:170] Iteration 5175, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:39.711462  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5183.caffemodel
I0622 17:56:39.743822  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5183.solverstate
I0622 17:56:39.764859  1019 solver.cpp:516] Iteration 5183, Testing net (#0)
I0622 17:56:39.808643  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:39.839517  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:39.986398  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.326 (* 2 = 32.6521 loss)
I0622 17:56:39.986418  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1219 (* 1 = 17.1219 loss)
I0622 17:56:39.986425  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:39.986431  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:39.986438  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:39.986457  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11046s
I0622 17:56:40.224489  1019 solver.cpp:350] Iteration 5184 (8.10472 iter/s, 1.11046s/9 iter), 71.8/101.2ep, loss = 11.098
I0622 17:56:40.224509  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.20492 (* 2 = 6.40984 loss)
I0622 17:56:40.224529  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.68418 (* 1 = 4.68418 loss)
I0622 17:56:40.224536  1019 sgd_solver.cpp:170] Iteration 5184, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:41.297159  1019 solver.cpp:350] Iteration 5193 (8.39038 iter/s, 1.07266s/9 iter), 72/101.2ep, loss = 27.369
I0622 17:56:41.297178  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.35404 (* 2 = 16.7081 loss)
I0622 17:56:41.297186  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.657 (* 1 = 10.657 loss)
I0622 17:56:41.297194  1019 sgd_solver.cpp:170] Iteration 5193, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:42.368897  1019 solver.cpp:350] Iteration 5202 (8.39764 iter/s, 1.07173s/9 iter), 72.1/101.2ep, loss = 6.27334
I0622 17:56:42.368916  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.12655 (* 2 = 4.2531 loss)
I0622 17:56:42.368923  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.01629 (* 1 = 2.01629 loss)
I0622 17:56:42.368930  1019 sgd_solver.cpp:170] Iteration 5202, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:43.440678  1019 solver.cpp:350] Iteration 5211 (8.39724 iter/s, 1.07178s/9 iter), 72.2/101.2ep, loss = 45.9169
I0622 17:56:43.440697  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.9746 (* 2 = 29.9492 loss)
I0622 17:56:43.440706  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.9638 (* 1 = 15.9638 loss)
I0622 17:56:43.440713  1019 sgd_solver.cpp:170] Iteration 5211, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:44.512156  1019 solver.cpp:350] Iteration 5220 (8.39968 iter/s, 1.07147s/9 iter), 72.3/101.2ep, loss = 4.48025
I0622 17:56:44.512177  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.22876 (* 2 = 2.45753 loss)
I0622 17:56:44.512187  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.0188 (* 1 = 2.0188 loss)
I0622 17:56:44.512197  1019 sgd_solver.cpp:170] Iteration 5220, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:45.580346  1019 solver.cpp:350] Iteration 5229 (8.42556 iter/s, 1.06818s/9 iter), 72.5/101.2ep, loss = 18.4538
I0622 17:56:45.580365  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.63948 (* 2 = 11.279 loss)
I0622 17:56:45.580374  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.17091 (* 1 = 7.17091 loss)
I0622 17:56:45.580380  1019 sgd_solver.cpp:170] Iteration 5229, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:46.649327  1019 solver.cpp:350] Iteration 5238 (8.4193 iter/s, 1.06897s/9 iter), 72.6/101.2ep, loss = 26.7374
I0622 17:56:46.649346  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.97056 (* 2 = 19.9411 loss)
I0622 17:56:46.649354  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.79238 (* 1 = 6.79238 loss)
I0622 17:56:46.649363  1019 sgd_solver.cpp:170] Iteration 5238, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:46.649487  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:46.687072  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:47.718412  1019 solver.cpp:350] Iteration 5247 (8.41847 iter/s, 1.06908s/9 iter), 72.7/101.2ep, loss = 25.7428
I0622 17:56:47.718431  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.95243 (* 2 = 15.9049 loss)
I0622 17:56:47.718439  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.83402 (* 1 = 9.83402 loss)
I0622 17:56:47.718446  1019 sgd_solver.cpp:170] Iteration 5247, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:48.671478  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5256.caffemodel
I0622 17:56:48.704828  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5256.solverstate
I0622 17:56:48.726029  1019 solver.cpp:516] Iteration 5256, Testing net (#0)
I0622 17:56:48.726176  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:48.764883  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:48.948127  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.278 (* 2 = 32.5559 loss)
I0622 17:56:48.948164  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3172 (* 1 = 15.3172 loss)
I0622 17:56:48.948173  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:48.948179  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:48.948184  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:48.948216  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22981s
I0622 17:56:49.068437  1019 solver.cpp:350] Iteration 5256 (7.31819 iter/s, 1.22981s/9 iter), 72.8/101.2ep, loss = 30.6006
I0622 17:56:49.068457  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.131 (* 2 = 22.262 loss)
I0622 17:56:49.068465  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.33465 (* 1 = 8.33465 loss)
I0622 17:56:49.068475  1019 sgd_solver.cpp:170] Iteration 5256, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:50.137228  1019 solver.cpp:350] Iteration 5265 (8.42075 iter/s, 1.06879s/9 iter), 73/101.2ep, loss = 17.2061
I0622 17:56:50.137248  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.43718 (* 2 = 10.8744 loss)
I0622 17:56:50.137256  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.32776 (* 1 = 6.32776 loss)
I0622 17:56:50.137264  1019 sgd_solver.cpp:170] Iteration 5265, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:51.208884  1019 solver.cpp:350] Iteration 5274 (8.39833 iter/s, 1.07164s/9 iter), 73.1/101.2ep, loss = 3.56536
I0622 17:56:51.208904  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.931498 (* 2 = 1.863 loss)
I0622 17:56:51.208911  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.69845 (* 1 = 1.69845 loss)
I0622 17:56:51.208919  1019 sgd_solver.cpp:170] Iteration 5274, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:52.283113  1019 solver.cpp:350] Iteration 5283 (8.37818 iter/s, 1.07422s/9 iter), 73.2/101.2ep, loss = 68.1382
I0622 17:56:52.283133  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.9535 (* 2 = 47.9069 loss)
I0622 17:56:52.283143  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.2273 (* 1 = 20.2273 loss)
I0622 17:56:52.283152  1019 sgd_solver.cpp:170] Iteration 5283, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:53.355926  1019 solver.cpp:350] Iteration 5292 (8.38921 iter/s, 1.07281s/9 iter), 73.3/101.2ep, loss = 8.63325
I0622 17:56:53.355944  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.30928 (* 2 = 4.61855 loss)
I0622 17:56:53.355952  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.01078 (* 1 = 4.01078 loss)
I0622 17:56:53.355959  1019 sgd_solver.cpp:170] Iteration 5292, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:54.428788  1019 solver.cpp:350] Iteration 5301 (8.38878 iter/s, 1.07286s/9 iter), 73.5/101.2ep, loss = 2.04068
I0622 17:56:54.428807  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.503985 (* 2 = 1.00797 loss)
I0622 17:56:54.428817  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.02878 (* 1 = 1.02878 loss)
I0622 17:56:54.428822  1019 sgd_solver.cpp:170] Iteration 5301, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:55.500174  1019 solver.cpp:350] Iteration 5310 (8.4004 iter/s, 1.07138s/9 iter), 73.6/101.2ep, loss = 24.4085
I0622 17:56:55.500192  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.61027 (* 2 = 15.2205 loss)
I0622 17:56:55.500200  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.18407 (* 1 = 9.18407 loss)
I0622 17:56:55.500207  1019 sgd_solver.cpp:170] Iteration 5310, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:55.858500  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:55.884531  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:56.574896  1019 solver.cpp:350] Iteration 5319 (8.37434 iter/s, 1.07471s/9 iter), 73.7/101.2ep, loss = 32.6987
I0622 17:56:56.574916  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.768 (* 2 = 21.5359 loss)
I0622 17:56:56.574924  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.1588 (* 1 = 11.1588 loss)
I0622 17:56:56.574931  1019 sgd_solver.cpp:170] Iteration 5319, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:57.651371  1019 solver.cpp:350] Iteration 5328 (8.36069 iter/s, 1.07647s/9 iter), 73.8/101.2ep, loss = 52.2939
I0622 17:56:57.651389  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.5849 (* 2 = 37.1698 loss)
I0622 17:56:57.651397  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.1201 (* 1 = 15.1201 loss)
I0622 17:56:57.651404  1019 sgd_solver.cpp:170] Iteration 5328, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:56:57.651417  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5329.caffemodel
I0622 17:56:57.684186  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5329.solverstate
I0622 17:56:57.704403  1019 solver.cpp:516] Iteration 5329, Testing net (#0)
I0622 17:56:57.704531  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:57.741235  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:57.881039  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:57.911164  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:56:57.924298  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.2721 (* 2 = 34.5442 loss)
I0622 17:56:57.924314  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8525 (* 1 = 17.8525 loss)
I0622 17:56:57.924321  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:56:57.924327  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:56:57.924334  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:56:57.924355  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.272993s
I0622 17:56:58.999155  1019 solver.cpp:350] Iteration 5337 (32.9678 iter/s, 0.272993s/9 iter), 74/101.2ep, loss = 20.5898
I0622 17:56:58.999174  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.61825 (* 2 = 13.2365 loss)
I0622 17:56:58.999184  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.34938 (* 1 = 7.34938 loss)
I0622 17:56:58.999193  1019 sgd_solver.cpp:170] Iteration 5337, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:00.076112  1019 solver.cpp:350] Iteration 5346 (8.35691 iter/s, 1.07695s/9 iter), 74.1/101.2ep, loss = 11.8964
I0622 17:57:00.076131  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.68265 (* 2 = 7.36529 loss)
I0622 17:57:00.076141  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.5272 (* 1 = 4.5272 loss)
I0622 17:57:00.076150  1019 sgd_solver.cpp:170] Iteration 5346, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:01.152654  1019 solver.cpp:350] Iteration 5355 (8.36012 iter/s, 1.07654s/9 iter), 74.2/101.2ep, loss = 93.0709
I0622 17:57:01.152675  1019 solver.cpp:374]     Train net output #0: loss_bbox = 34.3724 (* 2 = 68.7448 loss)
I0622 17:57:01.152685  1019 solver.cpp:374]     Train net output #1: loss_coverage = 24.3221 (* 1 = 24.3221 loss)
I0622 17:57:01.152695  1019 sgd_solver.cpp:170] Iteration 5355, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:02.231510  1019 solver.cpp:350] Iteration 5364 (8.34221 iter/s, 1.07885s/9 iter), 74.3/101.2ep, loss = 21.5587
I0622 17:57:02.231530  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.10565 (* 2 = 14.2113 loss)
I0622 17:57:02.231539  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.34349 (* 1 = 7.34349 loss)
I0622 17:57:02.231545  1019 sgd_solver.cpp:170] Iteration 5364, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:03.304344  1019 solver.cpp:350] Iteration 5373 (8.38906 iter/s, 1.07283s/9 iter), 74.5/101.2ep, loss = 1.59253
I0622 17:57:03.304363  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.45265 (* 2 = 0.9053 loss)
I0622 17:57:03.304386  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.683368 (* 1 = 0.683368 loss)
I0622 17:57:03.304394  1019 sgd_solver.cpp:170] Iteration 5373, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:04.380579  1019 solver.cpp:350] Iteration 5382 (8.36256 iter/s, 1.07623s/9 iter), 74.6/101.2ep, loss = 22.2114
I0622 17:57:04.380599  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.10699 (* 2 = 14.214 loss)
I0622 17:57:04.380607  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.99359 (* 1 = 7.99359 loss)
I0622 17:57:04.380614  1019 sgd_solver.cpp:170] Iteration 5382, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:04.738334  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:04.768767  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:05.456231  1019 solver.cpp:350] Iteration 5391 (8.36712 iter/s, 1.07564s/9 iter), 74.7/101.2ep, loss = 58.5065
I0622 17:57:05.456250  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.1856 (* 2 = 40.3712 loss)
I0622 17:57:05.456260  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.1315 (* 1 = 18.1315 loss)
I0622 17:57:05.456274  1019 sgd_solver.cpp:170] Iteration 5391, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:06.531553  1019 solver.cpp:350] Iteration 5400 (8.3696 iter/s, 1.07532s/9 iter), 74.8/101.2ep, loss = 43.1146
I0622 17:57:06.531575  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.2247 (* 2 = 30.4495 loss)
I0622 17:57:06.531587  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.6613 (* 1 = 12.6613 loss)
I0622 17:57:06.531597  1019 sgd_solver.cpp:170] Iteration 5400, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:06.651676  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5402.caffemodel
I0622 17:57:06.684675  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5402.solverstate
I0622 17:57:06.705183  1019 solver.cpp:516] Iteration 5402, Testing net (#0)
I0622 17:57:06.883790  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:06.915032  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:06.927449  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.7874 (* 2 = 35.5748 loss)
I0622 17:57:06.927466  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0165 (* 1 = 16.0165 loss)
I0622 17:57:06.927474  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:06.927479  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:06.927485  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:06.927506  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.395957s
I0622 17:57:07.934775  1019 solver.cpp:350] Iteration 5409 (22.7297 iter/s, 0.395957s/9 iter), 75/101.2ep, loss = 15.2714
I0622 17:57:07.934798  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.62566 (* 2 = 11.2513 loss)
I0622 17:57:07.934808  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.01621 (* 1 = 4.01621 loss)
I0622 17:57:07.934816  1019 sgd_solver.cpp:170] Iteration 5409, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:09.024190  1019 solver.cpp:350] Iteration 5418 (8.26138 iter/s, 1.08941s/9 iter), 75.1/101.2ep, loss = 17.9494
I0622 17:57:09.024210  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.63873 (* 2 = 11.2775 loss)
I0622 17:57:09.024219  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.66809 (* 1 = 6.66809 loss)
I0622 17:57:09.024225  1019 sgd_solver.cpp:170] Iteration 5418, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:10.114173  1019 solver.cpp:350] Iteration 5427 (8.25706 iter/s, 1.08998s/9 iter), 75.2/101.2ep, loss = 74.084
I0622 17:57:10.114192  1019 solver.cpp:374]     Train net output #0: loss_bbox = 29.9165 (* 2 = 59.8331 loss)
I0622 17:57:10.114200  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.2471 (* 1 = 14.2471 loss)
I0622 17:57:10.114207  1019 sgd_solver.cpp:170] Iteration 5427, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:11.182516  1019 solver.cpp:350] Iteration 5436 (8.42431 iter/s, 1.06834s/9 iter), 75.3/101.2ep, loss = 18.4833
I0622 17:57:11.182534  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.73967 (* 2 = 11.4793 loss)
I0622 17:57:11.182541  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.00007 (* 1 = 7.00007 loss)
I0622 17:57:11.182549  1019 sgd_solver.cpp:170] Iteration 5436, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:12.250737  1019 solver.cpp:350] Iteration 5445 (8.42527 iter/s, 1.06822s/9 iter), 75.5/101.2ep, loss = 2.1683
I0622 17:57:12.250756  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.544355 (* 2 = 1.08871 loss)
I0622 17:57:12.250763  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.07576 (* 1 = 1.07576 loss)
I0622 17:57:12.250771  1019 sgd_solver.cpp:170] Iteration 5445, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:13.320430  1019 solver.cpp:350] Iteration 5454 (8.41369 iter/s, 1.06969s/9 iter), 75.6/101.2ep, loss = 26.7044
I0622 17:57:13.320448  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.85118 (* 2 = 17.7024 loss)
I0622 17:57:13.320458  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99816 (* 1 = 8.99816 loss)
I0622 17:57:13.320466  1019 sgd_solver.cpp:170] Iteration 5454, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:13.676084  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:13.707370  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:14.388417  1019 solver.cpp:350] Iteration 5463 (8.42713 iter/s, 1.06798s/9 iter), 75.7/101.2ep, loss = 39.1983
I0622 17:57:14.388437  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.021 (* 2 = 30.0421 loss)
I0622 17:57:14.388445  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.15234 (* 1 = 9.15234 loss)
I0622 17:57:14.388454  1019 sgd_solver.cpp:170] Iteration 5463, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:15.458700  1019 solver.cpp:350] Iteration 5472 (8.40899 iter/s, 1.07028s/9 iter), 75.8/101.2ep, loss = 18.7782
I0622 17:57:15.458719  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.638 (* 2 = 11.276 loss)
I0622 17:57:15.458730  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.49835 (* 1 = 7.49835 loss)
I0622 17:57:15.458739  1019 sgd_solver.cpp:170] Iteration 5472, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:15.697885  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5475.caffemodel
I0622 17:57:15.730625  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5475.solverstate
I0622 17:57:15.752346  1019 solver.cpp:516] Iteration 5475, Testing net (#0)
I0622 17:57:15.884812  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:15.920752  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:15.973182  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.4753 (* 2 = 36.9505 loss)
I0622 17:57:15.973202  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0837 (* 1 = 19.0837 loss)
I0622 17:57:15.973209  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:15.973215  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:15.973220  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:15.973242  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.514545s
I0622 17:57:16.807376  1019 solver.cpp:350] Iteration 5481 (17.4912 iter/s, 0.514545s/9 iter), 75.9/101.2ep, loss = 16.2121
I0622 17:57:16.807396  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.52654 (* 2 = 11.0531 loss)
I0622 17:57:16.807404  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.15522 (* 1 = 5.15522 loss)
I0622 17:57:16.807411  1019 sgd_solver.cpp:170] Iteration 5481, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:17.881124  1019 solver.cpp:350] Iteration 5490 (8.38193 iter/s, 1.07374s/9 iter), 76.1/101.2ep, loss = 24.6064
I0622 17:57:17.881142  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.90664 (* 2 = 17.8133 loss)
I0622 17:57:17.881165  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.78952 (* 1 = 6.78952 loss)
I0622 17:57:17.881175  1019 sgd_solver.cpp:170] Iteration 5490, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:18.950549  1019 solver.cpp:350] Iteration 5499 (8.41576 iter/s, 1.06942s/9 iter), 76.2/101.2ep, loss = 71.4274
I0622 17:57:18.950570  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.0658 (* 2 = 56.1317 loss)
I0622 17:57:18.950580  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.2921 (* 1 = 15.2921 loss)
I0622 17:57:18.950590  1019 sgd_solver.cpp:170] Iteration 5499, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:20.021567  1019 solver.cpp:350] Iteration 5508 (8.4033 iter/s, 1.07101s/9 iter), 76.3/101.2ep, loss = 19.3429
I0622 17:57:20.021587  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.66792 (* 2 = 13.3358 loss)
I0622 17:57:20.021595  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.00351 (* 1 = 6.00351 loss)
I0622 17:57:20.021602  1019 sgd_solver.cpp:170] Iteration 5508, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:21.141119  1019 solver.cpp:350] Iteration 5517 (8.03907 iter/s, 1.11953s/9 iter), 76.4/101.2ep, loss = 66.8817
I0622 17:57:21.141145  1019 solver.cpp:374]     Train net output #0: loss_bbox = 32.5171 (* 2 = 65.0341 loss)
I0622 17:57:21.141157  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.84397 (* 1 = 1.84397 loss)
I0622 17:57:21.141168  1019 sgd_solver.cpp:170] Iteration 5517, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:22.228696  1019 solver.cpp:350] Iteration 5526 (8.27531 iter/s, 1.08757s/9 iter), 76.6/101.2ep, loss = 0.0294514
I0622 17:57:22.228716  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:57:22.228724  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0258734 (* 1 = 0.0258734 loss)
I0622 17:57:22.228732  1019 sgd_solver.cpp:170] Iteration 5526, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:22.589607  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:22.626073  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:23.319281  1019 solver.cpp:350] Iteration 5535 (8.25248 iter/s, 1.09058s/9 iter), 76.7/101.2ep, loss = 64.2505
I0622 17:57:23.319301  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.7175 (* 2 = 51.435 loss)
I0622 17:57:23.319313  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.8119 (* 1 = 12.8119 loss)
I0622 17:57:23.319321  1019 sgd_solver.cpp:170] Iteration 5535, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:24.392228  1019 solver.cpp:350] Iteration 5544 (8.38817 iter/s, 1.07294s/9 iter), 76.8/101.2ep, loss = 2.81731
I0622 17:57:24.392247  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.901841 (* 2 = 1.80368 loss)
I0622 17:57:24.392256  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.01006 (* 1 = 1.01006 loss)
I0622 17:57:24.392262  1019 sgd_solver.cpp:170] Iteration 5544, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:24.748868  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5548.caffemodel
I0622 17:57:24.784999  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5548.solverstate
I0622 17:57:24.805914  1019 solver.cpp:516] Iteration 5548, Testing net (#0)
I0622 17:57:24.939333  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:24.972332  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:25.028028  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.8685 (* 2 = 27.737 loss)
I0622 17:57:25.028048  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7902 (* 1 = 13.7902 loss)
I0622 17:57:25.028056  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:25.028065  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:25.028074  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:25.028095  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.635874s
I0622 17:57:25.743360  1019 solver.cpp:350] Iteration 5553 (14.1537 iter/s, 0.635874s/9 iter), 76.9/101.2ep, loss = 24.1511
I0622 17:57:25.743379  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.57381 (* 2 = 15.1476 loss)
I0622 17:57:25.743387  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99993 (* 1 = 8.99993 loss)
I0622 17:57:25.743394  1019 sgd_solver.cpp:170] Iteration 5553, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:26.817145  1019 solver.cpp:350] Iteration 5562 (8.38163 iter/s, 1.07378s/9 iter), 77.1/101.2ep, loss = 20.0386
I0622 17:57:26.817237  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.34604 (* 2 = 14.6921 loss)
I0622 17:57:26.817250  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.34298 (* 1 = 5.34298 loss)
I0622 17:57:26.817258  1019 sgd_solver.cpp:170] Iteration 5562, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:27.887629  1019 solver.cpp:350] Iteration 5571 (8.40749 iter/s, 1.07047s/9 iter), 77.2/101.2ep, loss = 39.0069
I0622 17:57:27.887647  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.745 (* 2 = 27.4901 loss)
I0622 17:57:27.887656  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.5132 (* 1 = 11.5132 loss)
I0622 17:57:27.887666  1019 sgd_solver.cpp:170] Iteration 5571, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:28.960752  1019 solver.cpp:350] Iteration 5580 (8.38673 iter/s, 1.07312s/9 iter), 77.3/101.2ep, loss = 6.92573
I0622 17:57:28.960770  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.19578 (* 2 = 4.39157 loss)
I0622 17:57:28.960778  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.53058 (* 1 = 2.53058 loss)
I0622 17:57:28.960785  1019 sgd_solver.cpp:170] Iteration 5580, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:30.032627  1019 solver.cpp:350] Iteration 5589 (8.3966 iter/s, 1.07186s/9 iter), 77.4/101.2ep, loss = 404.959
I0622 17:57:30.032645  1019 solver.cpp:374]     Train net output #0: loss_bbox = 200.323 (* 2 = 400.647 loss)
I0622 17:57:30.032654  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.30848 (* 1 = 4.30848 loss)
I0622 17:57:30.032660  1019 sgd_solver.cpp:170] Iteration 5589, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:31.102486  1019 solver.cpp:350] Iteration 5598 (8.41239 iter/s, 1.06985s/9 iter), 77.6/101.2ep, loss = 3.74692
I0622 17:57:31.102505  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.36874 (* 2 = 2.73748 loss)
I0622 17:57:31.102512  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.00572 (* 1 = 1.00572 loss)
I0622 17:57:31.102520  1019 sgd_solver.cpp:170] Iteration 5598, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:31.458981  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:31.489152  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:32.173578  1019 solver.cpp:350] Iteration 5607 (8.40265 iter/s, 1.07109s/9 iter), 77.7/101.2ep, loss = 43.1909
I0622 17:57:32.173599  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.0138 (* 2 = 36.0276 loss)
I0622 17:57:32.173606  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.1596 (* 1 = 7.1596 loss)
I0622 17:57:32.173614  1019 sgd_solver.cpp:170] Iteration 5607, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:33.243330  1019 solver.cpp:350] Iteration 5616 (8.41331 iter/s, 1.06973s/9 iter), 77.8/101.2ep, loss = 0.0126495
I0622 17:57:33.243350  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:57:33.243358  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.00892946 (* 1 = 0.00892946 loss)
I0622 17:57:33.243366  1019 sgd_solver.cpp:170] Iteration 5616, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:33.720023  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5621.caffemodel
I0622 17:57:33.752657  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5621.solverstate
I0622 17:57:33.773664  1019 solver.cpp:516] Iteration 5621, Testing net (#0)
I0622 17:57:33.864466  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:33.896625  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:33.996307  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.3761 (* 2 = 42.7522 loss)
I0622 17:57:33.996326  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4787 (* 1 = 19.4787 loss)
I0622 17:57:33.996335  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:33.996341  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:33.996347  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:33.996382  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.753065s
I0622 17:57:34.592578  1019 solver.cpp:350] Iteration 5625 (11.9512 iter/s, 0.753065s/9 iter), 77.9/101.2ep, loss = 30.2312
I0622 17:57:34.592597  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.98386 (* 2 = 17.9677 loss)
I0622 17:57:34.592607  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.2598 (* 1 = 12.2598 loss)
I0622 17:57:34.592613  1019 sgd_solver.cpp:170] Iteration 5625, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:35.668902  1019 solver.cpp:350] Iteration 5634 (8.36183 iter/s, 1.07632s/9 iter), 78.1/101.2ep, loss = 6.78655
I0622 17:57:35.668922  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.70257 (* 2 = 5.40513 loss)
I0622 17:57:35.668931  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.3777 (* 1 = 1.3777 loss)
I0622 17:57:35.668937  1019 sgd_solver.cpp:170] Iteration 5634, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:36.739588  1019 solver.cpp:350] Iteration 5643 (8.40589 iter/s, 1.07068s/9 iter), 78.2/101.2ep, loss = 28.5305
I0622 17:57:36.739606  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.42515 (* 2 = 18.8503 loss)
I0622 17:57:36.739614  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.67652 (* 1 = 9.67652 loss)
I0622 17:57:36.739622  1019 sgd_solver.cpp:170] Iteration 5643, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:37.811533  1019 solver.cpp:350] Iteration 5652 (8.396 iter/s, 1.07194s/9 iter), 78.3/101.2ep, loss = 6.64777
I0622 17:57:37.811553  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.80834 (* 2 = 3.61668 loss)
I0622 17:57:37.811559  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.02738 (* 1 = 3.02738 loss)
I0622 17:57:37.811568  1019 sgd_solver.cpp:170] Iteration 5652, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:38.880743  1019 solver.cpp:350] Iteration 5661 (8.41748 iter/s, 1.0692s/9 iter), 78.4/101.2ep, loss = 23.7492
I0622 17:57:38.880762  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.46949 (* 2 = 14.939 loss)
I0622 17:57:38.880770  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.80648 (* 1 = 8.80648 loss)
I0622 17:57:38.880779  1019 sgd_solver.cpp:170] Iteration 5661, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:39.948904  1019 solver.cpp:350] Iteration 5670 (8.42571 iter/s, 1.06816s/9 iter), 78.6/101.2ep, loss = 4.77949
I0622 17:57:39.948923  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.38962 (* 2 = 2.77923 loss)
I0622 17:57:39.948930  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.99654 (* 1 = 1.99654 loss)
I0622 17:57:39.948938  1019 sgd_solver.cpp:170] Iteration 5670, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:40.304935  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:40.336318  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:41.017619  1019 solver.cpp:350] Iteration 5679 (8.42142 iter/s, 1.0687s/9 iter), 78.7/101.2ep, loss = 44.3306
I0622 17:57:41.017639  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.9157 (* 2 = 35.8315 loss)
I0622 17:57:41.017647  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.49538 (* 1 = 8.49538 loss)
I0622 17:57:41.017654  1019 sgd_solver.cpp:170] Iteration 5679, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:42.090064  1019 solver.cpp:350] Iteration 5688 (8.3921 iter/s, 1.07244s/9 iter), 78.8/101.2ep, loss = 12.1241
I0622 17:57:42.090083  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.22626 (* 2 = 10.4525 loss)
I0622 17:57:42.090091  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.66791 (* 1 = 1.66791 loss)
I0622 17:57:42.090098  1019 sgd_solver.cpp:170] Iteration 5688, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:42.686125  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5694.caffemodel
I0622 17:57:42.719209  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5694.solverstate
I0622 17:57:42.740660  1019 solver.cpp:516] Iteration 5694, Testing net (#0)
I0622 17:57:42.830816  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:42.862423  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:42.961989  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.4655 (* 2 = 30.9309 loss)
I0622 17:57:42.962009  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7854 (* 1 = 15.7854 loss)
I0622 17:57:42.962016  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:42.962023  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:42.962028  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:42.962049  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.871996s
I0622 17:57:43.439272  1019 solver.cpp:350] Iteration 5697 (10.3212 iter/s, 0.871996s/9 iter), 78.9/101.2ep, loss = 46.491
I0622 17:57:43.439299  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.6679 (* 2 = 29.3359 loss)
I0622 17:57:43.439311  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.1514 (* 1 = 17.1514 loss)
I0622 17:57:43.439322  1019 sgd_solver.cpp:170] Iteration 5697, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:44.512388  1019 solver.cpp:350] Iteration 5706 (8.38681 iter/s, 1.07311s/9 iter), 79.1/101.2ep, loss = 6.89692
I0622 17:57:44.512408  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.44565 (* 2 = 4.89131 loss)
I0622 17:57:44.512418  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.00189 (* 1 = 2.00189 loss)
I0622 17:57:44.512428  1019 sgd_solver.cpp:170] Iteration 5706, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:45.581598  1019 solver.cpp:350] Iteration 5715 (8.41754 iter/s, 1.0692s/9 iter), 79.2/101.2ep, loss = 15.1116
I0622 17:57:45.581624  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.02946 (* 2 = 10.0589 loss)
I0622 17:57:45.581635  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.04896 (* 1 = 5.04896 loss)
I0622 17:57:45.581646  1019 sgd_solver.cpp:170] Iteration 5715, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:46.652290  1019 solver.cpp:350] Iteration 5724 (8.40579 iter/s, 1.07069s/9 iter), 79.3/101.2ep, loss = 33.9459
I0622 17:57:46.652312  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8666 (* 2 = 25.7333 loss)
I0622 17:57:46.652319  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.20893 (* 1 = 8.20893 loss)
I0622 17:57:46.652326  1019 sgd_solver.cpp:170] Iteration 5724, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:47.724514  1019 solver.cpp:350] Iteration 5733 (8.39377 iter/s, 1.07222s/9 iter), 79.4/101.2ep, loss = 19.5659
I0622 17:57:47.724534  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.28289 (* 2 = 12.5658 loss)
I0622 17:57:47.724542  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.99636 (* 1 = 6.99636 loss)
I0622 17:57:47.724550  1019 sgd_solver.cpp:170] Iteration 5733, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:48.801354  1019 solver.cpp:350] Iteration 5742 (8.35789 iter/s, 1.07683s/9 iter), 79.6/101.2ep, loss = 13.8903
I0622 17:57:48.801373  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.32828 (* 2 = 8.65655 loss)
I0622 17:57:48.801380  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.23001 (* 1 = 5.23001 loss)
I0622 17:57:48.801388  1019 sgd_solver.cpp:170] Iteration 5742, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:49.157846  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:49.188510  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:49.872993  1019 solver.cpp:350] Iteration 5751 (8.39835 iter/s, 1.07164s/9 iter), 79.7/101.2ep, loss = 32.4934
I0622 17:57:49.873014  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.7485 (* 2 = 23.497 loss)
I0622 17:57:49.873025  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99266 (* 1 = 8.99266 loss)
I0622 17:57:49.873034  1019 sgd_solver.cpp:170] Iteration 5751, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:50.943462  1019 solver.cpp:350] Iteration 5760 (8.40764 iter/s, 1.07046s/9 iter), 79.8/101.2ep, loss = 16.9394
I0622 17:57:50.943492  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.46521 (* 2 = 12.9304 loss)
I0622 17:57:50.943500  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00529 (* 1 = 4.00529 loss)
I0622 17:57:50.943508  1019 sgd_solver.cpp:170] Iteration 5760, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:51.657390  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5767.caffemodel
I0622 17:57:51.690881  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5767.solverstate
I0622 17:57:51.712597  1019 solver.cpp:516] Iteration 5767, Testing net (#0)
I0622 17:57:51.756621  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:51.787571  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:51.934231  1019 solver.cpp:602]     Test net output #0: loss_bbox = 19.0287 (* 2 = 38.0575 loss)
I0622 17:57:51.934250  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4156 (* 1 = 18.4156 loss)
I0622 17:57:51.934257  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:57:51.934265  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:57:51.934273  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:57:51.934294  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.99084s
I0622 17:57:52.290634  1019 solver.cpp:350] Iteration 5769 (9.0832 iter/s, 0.99084s/9 iter), 79.9/101.2ep, loss = 32.6741
I0622 17:57:52.290653  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.0121 (* 2 = 20.0242 loss)
I0622 17:57:52.290661  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.6462 (* 1 = 12.6462 loss)
I0622 17:57:52.290671  1019 sgd_solver.cpp:170] Iteration 5769, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:53.364317  1019 solver.cpp:350] Iteration 5778 (8.38242 iter/s, 1.07368s/9 iter), 80.1/101.2ep, loss = 26.1458
I0622 17:57:53.364336  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.91344 (* 2 = 19.8269 loss)
I0622 17:57:53.364346  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.31522 (* 1 = 6.31522 loss)
I0622 17:57:53.364352  1019 sgd_solver.cpp:170] Iteration 5778, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:54.437088  1019 solver.cpp:350] Iteration 5787 (8.38956 iter/s, 1.07276s/9 iter), 80.2/101.2ep, loss = 26.2899
I0622 17:57:54.437113  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.38374 (* 2 = 18.7675 loss)
I0622 17:57:54.437120  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.51869 (* 1 = 7.51869 loss)
I0622 17:57:54.437127  1019 sgd_solver.cpp:170] Iteration 5787, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:55.507772  1019 solver.cpp:350] Iteration 5796 (8.40591 iter/s, 1.07068s/9 iter), 80.3/101.2ep, loss = 61.4319
I0622 17:57:55.507791  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.9774 (* 2 = 49.9548 loss)
I0622 17:57:55.507802  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.4734 (* 1 = 11.4734 loss)
I0622 17:57:55.507810  1019 sgd_solver.cpp:170] Iteration 5796, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:56.576827  1019 solver.cpp:350] Iteration 5805 (8.4187 iter/s, 1.06905s/9 iter), 80.4/101.2ep, loss = 30.0452
I0622 17:57:56.576845  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.95915 (* 2 = 17.9183 loss)
I0622 17:57:56.576856  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.1231 (* 1 = 12.1231 loss)
I0622 17:57:56.576865  1019 sgd_solver.cpp:170] Iteration 5805, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:57.646384  1019 solver.cpp:350] Iteration 5814 (8.41476 iter/s, 1.06955s/9 iter), 80.6/101.2ep, loss = 20.5212
I0622 17:57:57.646486  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.00918 (* 2 = 14.0184 loss)
I0622 17:57:57.646503  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.49912 (* 1 = 6.49912 loss)
I0622 17:57:57.646512  1019 sgd_solver.cpp:170] Iteration 5814, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:58.002624  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:58.032550  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:57:58.716465  1019 solver.cpp:350] Iteration 5823 (8.41063 iter/s, 1.07007s/9 iter), 80.7/101.2ep, loss = 43.4064
I0622 17:57:58.716485  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.2091 (* 2 = 30.4183 loss)
I0622 17:57:58.716492  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9844 (* 1 = 12.9844 loss)
I0622 17:57:58.716500  1019 sgd_solver.cpp:170] Iteration 5823, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:57:59.787216  1019 solver.cpp:350] Iteration 5832 (8.40537 iter/s, 1.07074s/9 iter), 80.8/101.2ep, loss = 50.0054
I0622 17:57:59.787235  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.5052 (* 2 = 37.0104 loss)
I0622 17:57:59.787243  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9912 (* 1 = 12.9912 loss)
I0622 17:57:59.787250  1019 sgd_solver.cpp:170] Iteration 5832, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:00.620405  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5840.caffemodel
I0622 17:58:00.652942  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5840.solverstate
I0622 17:58:00.675315  1019 solver.cpp:516] Iteration 5840, Testing net (#0)
I0622 17:58:00.718818  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:00.752413  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:00.893743  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.4006 (* 2 = 32.8012 loss)
I0622 17:58:00.893762  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1209 (* 1 = 17.1209 loss)
I0622 17:58:00.893774  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:00.893779  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:00.893785  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:00.893807  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.1066s
I0622 17:58:01.131686  1019 solver.cpp:350] Iteration 5841 (8.13302 iter/s, 1.1066s/9 iter), 80.9/101.2ep, loss = 32.6845
I0622 17:58:01.131706  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.9216 (* 2 = 21.8432 loss)
I0622 17:58:01.131714  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.8375 (* 1 = 10.8375 loss)
I0622 17:58:01.131722  1019 sgd_solver.cpp:170] Iteration 5841, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:02.201725  1019 solver.cpp:350] Iteration 5850 (8.41096 iter/s, 1.07003s/9 iter), 81.1/101.2ep, loss = 40.1862
I0622 17:58:02.201745  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.4271 (* 2 = 32.8541 loss)
I0622 17:58:02.201755  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.32834 (* 1 = 7.32834 loss)
I0622 17:58:02.201763  1019 sgd_solver.cpp:170] Iteration 5850, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:03.274042  1019 solver.cpp:350] Iteration 5859 (8.39308 iter/s, 1.07231s/9 iter), 81.2/101.2ep, loss = 26.1161
I0622 17:58:03.274061  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.80564 (* 2 = 19.6113 loss)
I0622 17:58:03.274071  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.50106 (* 1 = 6.50106 loss)
I0622 17:58:03.274080  1019 sgd_solver.cpp:170] Iteration 5859, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:04.346326  1019 solver.cpp:350] Iteration 5868 (8.39336 iter/s, 1.07228s/9 iter), 81.3/101.2ep, loss = 48.2622
I0622 17:58:04.346346  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.8921 (* 2 = 39.7843 loss)
I0622 17:58:04.346355  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.47413 (* 1 = 8.47413 loss)
I0622 17:58:04.346362  1019 sgd_solver.cpp:170] Iteration 5868, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:05.419840  1019 solver.cpp:350] Iteration 5877 (8.38368 iter/s, 1.07351s/9 iter), 81.4/101.2ep, loss = 20.3796
I0622 17:58:05.419859  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.27801 (* 2 = 12.556 loss)
I0622 17:58:05.419867  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.81985 (* 1 = 7.81985 loss)
I0622 17:58:05.419875  1019 sgd_solver.cpp:170] Iteration 5877, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:06.491149  1019 solver.cpp:350] Iteration 5886 (8.40104 iter/s, 1.0713s/9 iter), 81.6/101.2ep, loss = 32.4961
I0622 17:58:06.491173  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.1819 (* 2 = 22.3637 loss)
I0622 17:58:06.491183  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1286 (* 1 = 10.1286 loss)
I0622 17:58:06.491189  1019 sgd_solver.cpp:170] Iteration 5886, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:06.847847  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:06.883921  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:07.561612  1019 solver.cpp:350] Iteration 5895 (8.40766 iter/s, 1.07045s/9 iter), 81.7/101.2ep, loss = 59.8195
I0622 17:58:07.561632  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.697 (* 2 = 41.394 loss)
I0622 17:58:07.561640  1019 solver.cpp:374]     Train net output #1: loss_coverage = 18.4218 (* 1 = 18.4218 loss)
I0622 17:58:07.561647  1019 sgd_solver.cpp:170] Iteration 5895, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:08.633289  1019 solver.cpp:350] Iteration 5904 (8.39803 iter/s, 1.07168s/9 iter), 81.8/101.2ep, loss = 42.8045
I0622 17:58:08.633309  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.6779 (* 2 = 31.3559 loss)
I0622 17:58:08.633317  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.4448 (* 1 = 11.4448 loss)
I0622 17:58:08.633325  1019 sgd_solver.cpp:170] Iteration 5904, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:09.589532  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5913.caffemodel
I0622 17:58:09.622146  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5913.solverstate
I0622 17:58:09.642468  1019 solver.cpp:516] Iteration 5913, Testing net (#0)
I0622 17:58:09.642640  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:09.675004  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:09.862097  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.3307 (* 2 = 32.6613 loss)
I0622 17:58:09.862113  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3169 (* 1 = 15.3169 loss)
I0622 17:58:09.862120  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:09.862126  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:09.862133  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:09.862154  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22887s
I0622 17:58:09.981755  1019 solver.cpp:350] Iteration 5913 (7.32383 iter/s, 1.22887s/9 iter), 81.9/101.2ep, loss = 40.7328
I0622 17:58:09.981775  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.1263 (* 2 = 28.2527 loss)
I0622 17:58:09.981783  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.4764 (* 1 = 12.4764 loss)
I0622 17:58:09.981791  1019 sgd_solver.cpp:170] Iteration 5913, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:11.058203  1019 solver.cpp:350] Iteration 5922 (8.36092 iter/s, 1.07644s/9 iter), 82.1/101.2ep, loss = 32.1943
I0622 17:58:11.058223  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.6255 (* 2 = 25.251 loss)
I0622 17:58:11.058233  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.93953 (* 1 = 6.93953 loss)
I0622 17:58:11.058243  1019 sgd_solver.cpp:170] Iteration 5922, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:12.135676  1019 solver.cpp:350] Iteration 5931 (8.35291 iter/s, 1.07747s/9 iter), 82.2/101.2ep, loss = 29.3126
I0622 17:58:12.135695  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.1663 (* 2 = 20.3326 loss)
I0622 17:58:12.135720  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.97621 (* 1 = 8.97621 loss)
I0622 17:58:12.135728  1019 sgd_solver.cpp:170] Iteration 5931, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:13.210506  1019 solver.cpp:350] Iteration 5940 (8.37348 iter/s, 1.07482s/9 iter), 82.3/101.2ep, loss = 24.9385
I0622 17:58:13.210525  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.96498 (* 2 = 19.93 loss)
I0622 17:58:13.210533  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.00473 (* 1 = 5.00473 loss)
I0622 17:58:13.210541  1019 sgd_solver.cpp:170] Iteration 5940, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:14.279392  1019 solver.cpp:350] Iteration 5949 (8.42004 iter/s, 1.06888s/9 iter), 82.4/101.2ep, loss = 26.5111
I0622 17:58:14.279412  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.42889 (* 2 = 16.8578 loss)
I0622 17:58:14.279419  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.6495 (* 1 = 9.6495 loss)
I0622 17:58:14.279426  1019 sgd_solver.cpp:170] Iteration 5949, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:15.349061  1019 solver.cpp:350] Iteration 5958 (8.4139 iter/s, 1.06966s/9 iter), 82.6/101.2ep, loss = 88.9398
I0622 17:58:15.349079  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.7357 (* 2 = 51.4713 loss)
I0622 17:58:15.349089  1019 solver.cpp:374]     Train net output #1: loss_coverage = 37.4648 (* 1 = 37.4648 loss)
I0622 17:58:15.349103  1019 sgd_solver.cpp:170] Iteration 5958, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:15.706761  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:15.737450  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:16.420214  1019 solver.cpp:350] Iteration 5967 (8.40217 iter/s, 1.07115s/9 iter), 82.7/101.2ep, loss = 45.7684
I0622 17:58:16.420233  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.484 (* 2 = 28.9679 loss)
I0622 17:58:16.420243  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.7967 (* 1 = 16.7967 loss)
I0622 17:58:16.420250  1019 sgd_solver.cpp:170] Iteration 5967, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:17.489310  1019 solver.cpp:350] Iteration 5976 (8.41838 iter/s, 1.06909s/9 iter), 82.8/101.2ep, loss = 49.7834
I0622 17:58:17.489328  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.9951 (* 2 = 35.9902 loss)
I0622 17:58:17.489337  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.7894 (* 1 = 13.7894 loss)
I0622 17:58:17.489344  1019 sgd_solver.cpp:170] Iteration 5976, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:18.556170  1019 solver.cpp:350] Iteration 5985 (8.43602 iter/s, 1.06685s/9 iter), 82.9/101.2ep, loss = 61.2922
I0622 17:58:18.556190  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.8132 (* 2 = 45.6265 loss)
I0622 17:58:18.556197  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.6619 (* 1 = 15.6619 loss)
I0622 17:58:18.556205  1019 sgd_solver.cpp:170] Iteration 5985, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:18.556216  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_5986.caffemodel
I0622 17:58:18.589610  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_5986.solverstate
I0622 17:58:18.610601  1019 solver.cpp:516] Iteration 5986, Testing net (#0)
I0622 17:58:18.610746  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:18.641646  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:18.787591  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:18.817396  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:18.831233  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.3456 (* 2 = 34.6912 loss)
I0622 17:58:18.831248  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8513 (* 1 = 17.8513 loss)
I0622 17:58:18.831255  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:18.831282  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:18.831290  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:18.831310  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.275147s
I0622 17:58:19.901634  1019 solver.cpp:350] Iteration 5994 (32.7098 iter/s, 0.275147s/9 iter), 83.1/101.2ep, loss = 3.8556
I0622 17:58:19.901654  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.42187 (* 2 = 2.84373 loss)
I0622 17:58:19.901661  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.0081 (* 1 = 1.0081 loss)
I0622 17:58:19.901669  1019 sgd_solver.cpp:170] Iteration 5994, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:20.968828  1019 solver.cpp:350] Iteration 6003 (8.4334 iter/s, 1.06719s/9 iter), 83.2/101.2ep, loss = 20.1723
I0622 17:58:20.968847  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.91347 (* 2 = 13.8269 loss)
I0622 17:58:20.968854  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.34158 (* 1 = 6.34158 loss)
I0622 17:58:20.968863  1019 sgd_solver.cpp:170] Iteration 6003, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:22.037061  1019 solver.cpp:350] Iteration 6012 (8.42514 iter/s, 1.06823s/9 iter), 83.3/101.2ep, loss = 76.562
I0622 17:58:22.037081  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.1376 (* 2 = 60.2752 loss)
I0622 17:58:22.037089  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.2829 (* 1 = 16.2829 loss)
I0622 17:58:22.037101  1019 sgd_solver.cpp:170] Iteration 6012, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:23.115440  1019 solver.cpp:350] Iteration 6021 (8.34595 iter/s, 1.07837s/9 iter), 83.4/101.2ep, loss = 14.783
I0622 17:58:23.115459  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.04827 (* 2 = 10.0965 loss)
I0622 17:58:23.115468  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.68269 (* 1 = 4.68269 loss)
I0622 17:58:23.115475  1019 sgd_solver.cpp:170] Iteration 6021, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:24.192251  1019 solver.cpp:350] Iteration 6030 (8.35807 iter/s, 1.0768s/9 iter), 83.6/101.2ep, loss = 111.77
I0622 17:58:24.192270  1019 solver.cpp:374]     Train net output #0: loss_bbox = 36.7497 (* 2 = 73.4993 loss)
I0622 17:58:24.192279  1019 solver.cpp:374]     Train net output #1: loss_coverage = 38.2667 (* 1 = 38.2667 loss)
I0622 17:58:24.192286  1019 sgd_solver.cpp:170] Iteration 6030, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:24.552714  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:24.588395  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:25.267593  1019 solver.cpp:350] Iteration 6039 (8.36943 iter/s, 1.07534s/9 iter), 83.7/101.2ep, loss = 22.421
I0622 17:58:25.267614  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.79365 (* 2 = 15.5873 loss)
I0622 17:58:25.267626  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.82995 (* 1 = 6.82995 loss)
I0622 17:58:25.267633  1019 sgd_solver.cpp:170] Iteration 6039, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:26.341145  1019 solver.cpp:350] Iteration 6048 (8.38346 iter/s, 1.07354s/9 iter), 83.8/101.2ep, loss = 22.007
I0622 17:58:26.341166  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.08506 (* 2 = 14.1701 loss)
I0622 17:58:26.341179  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.83309 (* 1 = 7.83309 loss)
I0622 17:58:26.341187  1019 sgd_solver.cpp:170] Iteration 6048, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:27.411515  1019 solver.cpp:350] Iteration 6057 (8.40839 iter/s, 1.07036s/9 iter), 83.9/101.2ep, loss = 30.1738
I0622 17:58:27.411535  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.5893 (* 2 = 21.1786 loss)
I0622 17:58:27.411542  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.99143 (* 1 = 8.99143 loss)
I0622 17:58:27.411550  1019 sgd_solver.cpp:170] Iteration 6057, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:27.530647  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6059.caffemodel
I0622 17:58:27.563308  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6059.solverstate
I0622 17:58:27.585158  1019 solver.cpp:516] Iteration 6059, Testing net (#0)
I0622 17:58:27.761054  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:27.797219  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:27.804699  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.8339 (* 2 = 35.6678 loss)
I0622 17:58:27.804714  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0165 (* 1 = 16.0165 loss)
I0622 17:58:27.804721  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:27.804728  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:27.804733  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:27.804756  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.39325s
I0622 17:58:28.755942  1019 solver.cpp:350] Iteration 6066 (22.8862 iter/s, 0.39325s/9 iter), 84.1/101.2ep, loss = 2.76924
I0622 17:58:28.755961  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.04636 (* 2 = 2.09273 loss)
I0622 17:58:28.755970  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.672722 (* 1 = 0.672722 loss)
I0622 17:58:28.755977  1019 sgd_solver.cpp:170] Iteration 6066, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:29.826262  1019 solver.cpp:350] Iteration 6075 (8.4088 iter/s, 1.07031s/9 iter), 84.2/101.2ep, loss = 20.9148
I0622 17:58:29.826282  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.97127 (* 2 = 13.9425 loss)
I0622 17:58:29.826289  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.96843 (* 1 = 6.96843 loss)
I0622 17:58:29.826297  1019 sgd_solver.cpp:170] Iteration 6075, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:30.898938  1019 solver.cpp:350] Iteration 6084 (8.3903 iter/s, 1.07267s/9 iter), 84.3/101.2ep, loss = 74.3107
I0622 17:58:30.898958  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.0161 (* 2 = 54.0323 loss)
I0622 17:58:30.898967  1019 solver.cpp:374]     Train net output #1: loss_coverage = 20.2746 (* 1 = 20.2746 loss)
I0622 17:58:30.898974  1019 sgd_solver.cpp:170] Iteration 6084, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:31.972744  1019 solver.cpp:350] Iteration 6093 (8.38142 iter/s, 1.0738s/9 iter), 84.4/101.2ep, loss = 16.9099
I0622 17:58:31.972764  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.87084 (* 2 = 11.7417 loss)
I0622 17:58:31.972774  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.16438 (* 1 = 5.16438 loss)
I0622 17:58:31.972784  1019 sgd_solver.cpp:170] Iteration 6093, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:33.043992  1019 solver.cpp:350] Iteration 6102 (8.40152 iter/s, 1.07124s/9 iter), 84.6/101.2ep, loss = 164.952
I0622 17:58:33.044011  1019 solver.cpp:374]     Train net output #0: loss_bbox = 64.4909 (* 2 = 128.982 loss)
I0622 17:58:33.044019  1019 solver.cpp:374]     Train net output #1: loss_coverage = 35.9665 (* 1 = 35.9665 loss)
I0622 17:58:33.044028  1019 sgd_solver.cpp:170] Iteration 6102, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:33.402379  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:33.434547  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:34.117789  1019 solver.cpp:350] Iteration 6111 (8.38152 iter/s, 1.07379s/9 iter), 84.7/101.2ep, loss = 19.2881
I0622 17:58:34.117810  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.38843 (* 2 = 12.7769 loss)
I0622 17:58:34.117816  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.50748 (* 1 = 6.50748 loss)
I0622 17:58:34.117825  1019 sgd_solver.cpp:170] Iteration 6111, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:35.191252  1019 solver.cpp:350] Iteration 6120 (8.38413 iter/s, 1.07346s/9 iter), 84.8/101.2ep, loss = 56.4169
I0622 17:58:35.191272  1019 solver.cpp:374]     Train net output #0: loss_bbox = 22.5477 (* 2 = 45.0955 loss)
I0622 17:58:35.191280  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3177 (* 1 = 11.3177 loss)
I0622 17:58:35.191288  1019 sgd_solver.cpp:170] Iteration 6120, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:36.265017  1019 solver.cpp:350] Iteration 6129 (8.38178 iter/s, 1.07376s/9 iter), 84.9/101.2ep, loss = 19.3357
I0622 17:58:36.265036  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.83774 (* 2 = 15.6755 loss)
I0622 17:58:36.265058  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.65648 (* 1 = 3.65648 loss)
I0622 17:58:36.265064  1019 sgd_solver.cpp:170] Iteration 6129, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:36.503283  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6132.caffemodel
I0622 17:58:36.536823  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6132.solverstate
I0622 17:58:36.558073  1019 solver.cpp:516] Iteration 6132, Testing net (#0)
I0622 17:58:36.689999  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:36.726619  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:36.777410  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.5062 (* 2 = 37.0124 loss)
I0622 17:58:36.777431  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.0831 (* 1 = 19.0831 loss)
I0622 17:58:36.777437  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:36.777443  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:36.777451  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:36.777472  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.512463s
I0622 17:58:37.613356  1019 solver.cpp:350] Iteration 6138 (17.5623 iter/s, 0.512463s/9 iter), 85.1/101.2ep, loss = 10.7206
I0622 17:58:37.613378  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.76663 (* 2 = 7.53326 loss)
I0622 17:58:37.613387  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.18354 (* 1 = 3.18354 loss)
I0622 17:58:37.613394  1019 sgd_solver.cpp:170] Iteration 6138, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:38.690906  1019 solver.cpp:350] Iteration 6147 (8.35235 iter/s, 1.07754s/9 iter), 85.2/101.2ep, loss = 20.6896
I0622 17:58:38.690924  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.6738 (* 2 = 13.3476 loss)
I0622 17:58:38.690933  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.33822 (* 1 = 7.33822 loss)
I0622 17:58:38.690943  1019 sgd_solver.cpp:170] Iteration 6147, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:39.763339  1019 solver.cpp:350] Iteration 6156 (8.39219 iter/s, 1.07243s/9 iter), 85.3/101.2ep, loss = 99.0028
I0622 17:58:39.763358  1019 solver.cpp:374]     Train net output #0: loss_bbox = 39.9995 (* 2 = 79.999 loss)
I0622 17:58:39.763366  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19 (* 1 = 19 loss)
I0622 17:58:39.763375  1019 sgd_solver.cpp:170] Iteration 6156, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:40.833906  1019 solver.cpp:350] Iteration 6165 (8.40681 iter/s, 1.07056s/9 iter), 85.4/101.2ep, loss = 29.3171
I0622 17:58:40.833926  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.5976 (* 2 = 23.1952 loss)
I0622 17:58:40.833935  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.11814 (* 1 = 6.11814 loss)
I0622 17:58:40.833942  1019 sgd_solver.cpp:170] Iteration 6165, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:41.906921  1019 solver.cpp:350] Iteration 6174 (8.38759 iter/s, 1.07301s/9 iter), 85.6/101.2ep, loss = 61.0568
I0622 17:58:41.906941  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.7842 (* 2 = 47.5685 loss)
I0622 17:58:41.906949  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.4845 (* 1 = 13.4845 loss)
I0622 17:58:41.906956  1019 sgd_solver.cpp:170] Iteration 6174, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:42.268178  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:42.305940  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:42.988581  1019 solver.cpp:350] Iteration 6183 (8.32064 iter/s, 1.08165s/9 iter), 85.7/101.2ep, loss = 35.5681
I0622 17:58:42.988600  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.2984 (* 2 = 26.5969 loss)
I0622 17:58:42.988610  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.96757 (* 1 = 8.96757 loss)
I0622 17:58:42.988616  1019 sgd_solver.cpp:170] Iteration 6183, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:44.067369  1019 solver.cpp:350] Iteration 6192 (8.3427 iter/s, 1.07879s/9 iter), 85.8/101.2ep, loss = 47.0832
I0622 17:58:44.067389  1019 solver.cpp:374]     Train net output #0: loss_bbox = 20.1275 (* 2 = 40.2549 loss)
I0622 17:58:44.067396  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.82469 (* 1 = 6.82469 loss)
I0622 17:58:44.067404  1019 sgd_solver.cpp:170] Iteration 6192, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:45.144884  1019 solver.cpp:350] Iteration 6201 (8.35261 iter/s, 1.07751s/9 iter), 85.9/101.2ep, loss = 12.8762
I0622 17:58:45.144902  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.59513 (* 2 = 11.1903 loss)
I0622 17:58:45.144912  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.68235 (* 1 = 1.68235 loss)
I0622 17:58:45.144917  1019 sgd_solver.cpp:170] Iteration 6201, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:45.503691  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6205.caffemodel
I0622 17:58:45.536304  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6205.solverstate
I0622 17:58:45.558123  1019 solver.cpp:516] Iteration 6205, Testing net (#0)
I0622 17:58:45.689359  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:45.720682  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:45.776414  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.9097 (* 2 = 27.8193 loss)
I0622 17:58:45.776434  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7891 (* 1 = 13.7891 loss)
I0622 17:58:45.776441  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:45.776448  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:45.776453  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:45.776475  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.631593s
I0622 17:58:46.493916  1019 solver.cpp:350] Iteration 6210 (14.2497 iter/s, 0.631593s/9 iter), 86.1/101.2ep, loss = 18.1368
I0622 17:58:46.493937  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.14668 (* 2 = 12.2934 loss)
I0622 17:58:46.493944  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.83984 (* 1 = 5.83984 loss)
I0622 17:58:46.493952  1019 sgd_solver.cpp:170] Iteration 6210, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:47.571451  1019 solver.cpp:350] Iteration 6219 (8.35249 iter/s, 1.07752s/9 iter), 86.2/101.2ep, loss = 18.9627
I0622 17:58:47.571471  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.90166 (* 2 = 11.8033 loss)
I0622 17:58:47.571480  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.15578 (* 1 = 7.15578 loss)
I0622 17:58:47.571494  1019 sgd_solver.cpp:170] Iteration 6219, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:48.647205  1019 solver.cpp:350] Iteration 6228 (8.36623 iter/s, 1.07575s/9 iter), 86.3/101.2ep, loss = 22.0375
I0622 17:58:48.647227  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.00857 (* 2 = 14.0171 loss)
I0622 17:58:48.647236  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.01675 (* 1 = 8.01675 loss)
I0622 17:58:48.647246  1019 sgd_solver.cpp:170] Iteration 6228, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:49.721896  1019 solver.cpp:350] Iteration 6237 (8.37461 iter/s, 1.07468s/9 iter), 86.4/101.2ep, loss = 35.3601
I0622 17:58:49.721915  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.679 (* 2 = 27.3579 loss)
I0622 17:58:49.721925  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.99849 (* 1 = 7.99849 loss)
I0622 17:58:49.721931  1019 sgd_solver.cpp:170] Iteration 6237, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:50.797266  1019 solver.cpp:350] Iteration 6246 (8.36922 iter/s, 1.07537s/9 iter), 86.5/101.2ep, loss = 27.34
I0622 17:58:50.797286  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.84457 (* 2 = 19.6891 loss)
I0622 17:58:50.797293  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.64722 (* 1 = 7.64722 loss)
I0622 17:58:50.797314  1019 sgd_solver.cpp:170] Iteration 6246, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:51.154781  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:51.184500  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:51.871958  1019 solver.cpp:350] Iteration 6255 (8.37461 iter/s, 1.07468s/9 iter), 86.7/101.2ep, loss = 37.584
I0622 17:58:51.871978  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.8677 (* 2 = 27.7353 loss)
I0622 17:58:51.871985  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.84505 (* 1 = 9.84505 loss)
I0622 17:58:51.871992  1019 sgd_solver.cpp:170] Iteration 6255, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:52.943284  1019 solver.cpp:350] Iteration 6264 (8.40087 iter/s, 1.07132s/9 iter), 86.8/101.2ep, loss = 34.0008
I0622 17:58:52.943302  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5038 (* 2 = 31.0075 loss)
I0622 17:58:52.943311  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.98961 (* 1 = 2.98961 loss)
I0622 17:58:52.943318  1019 sgd_solver.cpp:170] Iteration 6264, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:54.012665  1019 solver.cpp:350] Iteration 6273 (8.41609 iter/s, 1.06938s/9 iter), 86.9/101.2ep, loss = 15.3024
I0622 17:58:54.012683  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.81441 (* 2 = 13.6288 loss)
I0622 17:58:54.012691  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.66997 (* 1 = 1.66997 loss)
I0622 17:58:54.012698  1019 sgd_solver.cpp:170] Iteration 6273, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:54.488211  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6278.caffemodel
I0622 17:58:54.520671  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6278.solverstate
I0622 17:58:54.541122  1019 solver.cpp:516] Iteration 6278, Testing net (#0)
I0622 17:58:54.628758  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:54.660326  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:58:54.758859  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.3157 (* 2 = 42.6314 loss)
I0622 17:58:54.758879  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4794 (* 1 = 19.4794 loss)
I0622 17:58:54.758886  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:58:54.758893  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:58:54.758898  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:58:54.758920  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.746257s
I0622 17:58:55.352113  1019 solver.cpp:350] Iteration 6282 (12.0602 iter/s, 0.746257s/9 iter), 87/101.2ep, loss = 32.7268
I0622 17:58:55.352131  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.03 (* 2 = 22.0599 loss)
I0622 17:58:55.352139  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.6633 (* 1 = 10.6633 loss)
I0622 17:58:55.352146  1019 sgd_solver.cpp:170] Iteration 6282, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:56.419189  1019 solver.cpp:350] Iteration 6291 (8.43431 iter/s, 1.06707s/9 iter), 87.2/101.2ep, loss = 21.0579
I0622 17:58:56.419209  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.8793 (* 2 = 13.7586 loss)
I0622 17:58:56.419215  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.29568 (* 1 = 7.29568 loss)
I0622 17:58:56.419222  1019 sgd_solver.cpp:170] Iteration 6291, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:57.487216  1019 solver.cpp:350] Iteration 6300 (8.42681 iter/s, 1.06802s/9 iter), 87.3/101.2ep, loss = 20.476
I0622 17:58:57.487236  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.15518 (* 2 = 14.3104 loss)
I0622 17:58:57.487243  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.16203 (* 1 = 6.16203 loss)
I0622 17:58:57.487251  1019 sgd_solver.cpp:170] Iteration 6300, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:58.566740  1019 solver.cpp:350] Iteration 6309 (8.33708 iter/s, 1.07952s/9 iter), 87.4/101.2ep, loss = 27.4174
I0622 17:58:58.566817  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.87533 (* 2 = 19.7507 loss)
I0622 17:58:58.566826  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.66313 (* 1 = 7.66313 loss)
I0622 17:58:58.566834  1019 sgd_solver.cpp:170] Iteration 6309, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:58:59.642787  1019 solver.cpp:350] Iteration 6318 (8.36395 iter/s, 1.07605s/9 iter), 87.5/101.2ep, loss = 14.1149
I0622 17:58:59.642807  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.80904 (* 2 = 11.6181 loss)
I0622 17:58:59.642814  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.49322 (* 1 = 2.49322 loss)
I0622 17:58:59.642822  1019 sgd_solver.cpp:170] Iteration 6318, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:00.000404  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:00.036316  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:00.716982  1019 solver.cpp:350] Iteration 6327 (8.37844 iter/s, 1.07419s/9 iter), 87.7/101.2ep, loss = 26.254
I0622 17:59:00.717007  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.0349 (* 2 = 20.0699 loss)
I0622 17:59:00.717020  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.18045 (* 1 = 6.18045 loss)
I0622 17:59:00.717028  1019 sgd_solver.cpp:170] Iteration 6327, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:01.791898  1019 solver.cpp:350] Iteration 6336 (8.37284 iter/s, 1.0749s/9 iter), 87.8/101.2ep, loss = 0.016634
I0622 17:59:01.791918  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 17:59:01.791926  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0130176 (* 1 = 0.0130176 loss)
I0622 17:59:01.791934  1019 sgd_solver.cpp:170] Iteration 6336, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:02.862476  1019 solver.cpp:350] Iteration 6345 (8.40672 iter/s, 1.07057s/9 iter), 87.9/101.2ep, loss = 20.4154
I0622 17:59:02.862496  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.20339 (* 2 = 16.4068 loss)
I0622 17:59:02.862504  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.00496 (* 1 = 4.00496 loss)
I0622 17:59:02.862511  1019 sgd_solver.cpp:170] Iteration 6345, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:03.459019  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6351.caffemodel
I0622 17:59:03.491156  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6351.solverstate
I0622 17:59:03.513223  1019 solver.cpp:516] Iteration 6351, Testing net (#0)
I0622 17:59:03.601263  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:03.633599  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:03.733888  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.3621 (* 2 = 30.7242 loss)
I0622 17:59:03.733908  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.7857 (* 1 = 15.7857 loss)
I0622 17:59:03.733916  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:03.733922  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:03.733927  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:03.733947  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.871479s
I0622 17:59:04.210834  1019 solver.cpp:350] Iteration 6354 (10.3273 iter/s, 0.871479s/9 iter), 88/101.2ep, loss = 37.6049
I0622 17:59:04.210855  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.8063 (* 2 = 25.6125 loss)
I0622 17:59:04.210862  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9887 (* 1 = 11.9887 loss)
I0622 17:59:04.210870  1019 sgd_solver.cpp:170] Iteration 6354, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:05.288862  1019 solver.cpp:350] Iteration 6363 (8.34864 iter/s, 1.07802s/9 iter), 88.2/101.2ep, loss = 12.5472
I0622 17:59:05.288882  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.95182 (* 2 = 7.90364 loss)
I0622 17:59:05.288890  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.63997 (* 1 = 4.63997 loss)
I0622 17:59:05.288900  1019 sgd_solver.cpp:170] Iteration 6363, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:06.360168  1019 solver.cpp:350] Iteration 6372 (8.40102 iter/s, 1.0713s/9 iter), 88.3/101.2ep, loss = 33.47
I0622 17:59:06.360188  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.0751 (* 2 = 22.1503 loss)
I0622 17:59:06.360196  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.3161 (* 1 = 11.3161 loss)
I0622 17:59:06.360205  1019 sgd_solver.cpp:170] Iteration 6372, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:07.431447  1019 solver.cpp:350] Iteration 6381 (8.40119 iter/s, 1.07128s/9 iter), 88.4/101.2ep, loss = 77.9207
I0622 17:59:07.431466  1019 solver.cpp:374]     Train net output #0: loss_bbox = 30.6386 (* 2 = 61.2772 loss)
I0622 17:59:07.431474  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.6399 (* 1 = 16.6399 loss)
I0622 17:59:07.431481  1019 sgd_solver.cpp:170] Iteration 6381, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:08.500810  1019 solver.cpp:350] Iteration 6390 (8.41629 iter/s, 1.06936s/9 iter), 88.5/101.2ep, loss = 6.83606
I0622 17:59:08.500828  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.16015 (* 2 = 4.32029 loss)
I0622 17:59:08.500836  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.51215 (* 1 = 2.51215 loss)
I0622 17:59:08.500844  1019 sgd_solver.cpp:170] Iteration 6390, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:08.857123  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:08.887413  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:09.571257  1019 solver.cpp:350] Iteration 6399 (8.40775 iter/s, 1.07044s/9 iter), 88.7/101.2ep, loss = 4.27515
I0622 17:59:09.571276  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.12587 (* 2 = 2.25173 loss)
I0622 17:59:09.571285  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.0198 (* 1 = 2.0198 loss)
I0622 17:59:09.571291  1019 sgd_solver.cpp:170] Iteration 6399, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:10.645102  1019 solver.cpp:350] Iteration 6408 (8.38125 iter/s, 1.07383s/9 iter), 88.8/101.2ep, loss = 6.90183
I0622 17:59:10.645121  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.1119 (* 2 = 4.2238 loss)
I0622 17:59:10.645129  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.67441 (* 1 = 2.67441 loss)
I0622 17:59:10.645135  1019 sgd_solver.cpp:170] Iteration 6408, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:11.721206  1019 solver.cpp:350] Iteration 6417 (8.36355 iter/s, 1.0761s/9 iter), 88.9/101.2ep, loss = 53.7972
I0622 17:59:11.721226  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.9452 (* 2 = 43.8904 loss)
I0622 17:59:11.721235  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.90323 (* 1 = 9.90323 loss)
I0622 17:59:11.721242  1019 sgd_solver.cpp:170] Iteration 6417, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:12.440497  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6424.caffemodel
I0622 17:59:12.472786  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6424.solverstate
I0622 17:59:12.493649  1019 solver.cpp:516] Iteration 6424, Testing net (#0)
I0622 17:59:12.537480  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:12.573442  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:12.714409  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.9412 (* 2 = 37.8823 loss)
I0622 17:59:12.714428  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4157 (* 1 = 18.4157 loss)
I0622 17:59:12.714437  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:12.714442  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:12.714447  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:12.714468  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.993273s
I0622 17:59:13.070901  1019 solver.cpp:350] Iteration 6426 (9.06096 iter/s, 0.993273s/9 iter), 89/101.2ep, loss = 39.0491
I0622 17:59:13.070920  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.4369 (* 2 = 26.8738 loss)
I0622 17:59:13.070940  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.1717 (* 1 = 12.1717 loss)
I0622 17:59:13.070948  1019 sgd_solver.cpp:170] Iteration 6426, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:14.148818  1019 solver.cpp:350] Iteration 6435 (8.34951 iter/s, 1.07791s/9 iter), 89.2/101.2ep, loss = 6.14537
I0622 17:59:14.148836  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.56107 (* 2 = 3.12215 loss)
I0622 17:59:14.148844  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.01961 (* 1 = 3.01961 loss)
I0622 17:59:14.148851  1019 sgd_solver.cpp:170] Iteration 6435, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:15.225487  1019 solver.cpp:350] Iteration 6444 (8.35916 iter/s, 1.07666s/9 iter), 89.3/101.2ep, loss = 43.4385
I0622 17:59:15.225507  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.6382 (* 2 = 29.2763 loss)
I0622 17:59:15.225515  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1585 (* 1 = 14.1585 loss)
I0622 17:59:15.225522  1019 sgd_solver.cpp:170] Iteration 6444, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:16.300812  1019 solver.cpp:350] Iteration 6453 (8.36963 iter/s, 1.07532s/9 iter), 89.4/101.2ep, loss = 62.0243
I0622 17:59:16.300830  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.0305 (* 2 = 46.061 loss)
I0622 17:59:16.300838  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.9598 (* 1 = 15.9598 loss)
I0622 17:59:16.300845  1019 sgd_solver.cpp:170] Iteration 6453, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:17.374893  1019 solver.cpp:350] Iteration 6462 (8.3793 iter/s, 1.07408s/9 iter), 89.5/101.2ep, loss = 19.9914
I0622 17:59:17.374913  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.15627 (* 2 = 12.3125 loss)
I0622 17:59:17.374920  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.6752 (* 1 = 7.6752 loss)
I0622 17:59:17.374928  1019 sgd_solver.cpp:170] Iteration 6462, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:17.732269  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:17.761348  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:18.513641  1019 solver.cpp:350] Iteration 6471 (7.90349 iter/s, 1.13874s/9 iter), 89.7/101.2ep, loss = 11.5646
I0622 17:59:18.513661  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.60334 (* 2 = 7.20667 loss)
I0622 17:59:18.513670  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.35431 (* 1 = 4.35431 loss)
I0622 17:59:18.513677  1019 sgd_solver.cpp:170] Iteration 6471, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:19.609448  1019 solver.cpp:350] Iteration 6480 (8.21315 iter/s, 1.0958s/9 iter), 89.8/101.2ep, loss = 12.7492
I0622 17:59:19.609477  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.69967 (* 2 = 7.39934 loss)
I0622 17:59:19.609488  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.34624 (* 1 = 5.34624 loss)
I0622 17:59:19.609496  1019 sgd_solver.cpp:170] Iteration 6480, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:20.705862  1019 solver.cpp:350] Iteration 6489 (8.20866 iter/s, 1.0964s/9 iter), 89.9/101.2ep, loss = 39.0349
I0622 17:59:20.705879  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.5269 (* 2 = 31.0538 loss)
I0622 17:59:20.705888  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.97743 (* 1 = 7.97743 loss)
I0622 17:59:20.705894  1019 sgd_solver.cpp:170] Iteration 6489, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:21.540576  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6497.caffemodel
I0622 17:59:21.574254  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6497.solverstate
I0622 17:59:21.595481  1019 solver.cpp:516] Iteration 6497, Testing net (#0)
I0622 17:59:21.639436  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:21.682963  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:21.818935  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.309 (* 2 = 32.618 loss)
I0622 17:59:21.818965  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1212 (* 1 = 17.1212 loss)
I0622 17:59:21.818974  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:21.818979  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:21.818984  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:21.819005  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.11315s
I0622 17:59:22.056351  1019 solver.cpp:350] Iteration 6498 (8.08514 iter/s, 1.11315s/9 iter), 90/101.2ep, loss = 33.0661
I0622 17:59:22.056371  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.5354 (* 2 = 21.0709 loss)
I0622 17:59:22.056380  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9916 (* 1 = 11.9916 loss)
I0622 17:59:22.056386  1019 sgd_solver.cpp:170] Iteration 6498, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:23.129320  1019 solver.cpp:350] Iteration 6507 (8.38801 iter/s, 1.07296s/9 iter), 90.2/101.2ep, loss = 3.88638
I0622 17:59:23.129339  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.10429 (* 2 = 2.20858 loss)
I0622 17:59:23.129348  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.67418 (* 1 = 1.67418 loss)
I0622 17:59:23.129354  1019 sgd_solver.cpp:170] Iteration 6507, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:24.200997  1019 solver.cpp:350] Iteration 6516 (8.39811 iter/s, 1.07167s/9 iter), 90.3/101.2ep, loss = 31.4995
I0622 17:59:24.201017  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2577 (* 2 = 20.5153 loss)
I0622 17:59:24.201026  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.9806 (* 1 = 10.9806 loss)
I0622 17:59:24.201033  1019 sgd_solver.cpp:170] Iteration 6516, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:25.272132  1019 solver.cpp:350] Iteration 6525 (8.40236 iter/s, 1.07113s/9 iter), 90.4/101.2ep, loss = 69.9581
I0622 17:59:25.272151  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.7749 (* 2 = 53.5498 loss)
I0622 17:59:25.272159  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.4047 (* 1 = 16.4047 loss)
I0622 17:59:25.272166  1019 sgd_solver.cpp:170] Iteration 6525, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:26.342605  1019 solver.cpp:350] Iteration 6534 (8.40755 iter/s, 1.07047s/9 iter), 90.5/101.2ep, loss = 38.8145
I0622 17:59:26.342625  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.9113 (* 2 = 25.8226 loss)
I0622 17:59:26.342633  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9882 (* 1 = 12.9882 loss)
I0622 17:59:26.342641  1019 sgd_solver.cpp:170] Iteration 6534, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:26.699429  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:26.748785  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:27.414135  1019 solver.cpp:350] Iteration 6543 (8.39927 iter/s, 1.07152s/9 iter), 90.7/101.2ep, loss = 31.8521
I0622 17:59:27.414155  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.6904 (* 2 = 23.3808 loss)
I0622 17:59:27.414163  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.46759 (* 1 = 8.46759 loss)
I0622 17:59:27.414170  1019 sgd_solver.cpp:170] Iteration 6543, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:28.488709  1019 solver.cpp:350] Iteration 6552 (8.37546 iter/s, 1.07457s/9 iter), 90.8/101.2ep, loss = 25.0684
I0622 17:59:28.488729  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.19348 (* 2 = 14.387 loss)
I0622 17:59:28.488736  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.6779 (* 1 = 10.6779 loss)
I0622 17:59:28.488744  1019 sgd_solver.cpp:170] Iteration 6552, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:29.560381  1019 solver.cpp:350] Iteration 6561 (8.39815 iter/s, 1.07166s/9 iter), 90.9/101.2ep, loss = 48.7996
I0622 17:59:29.560490  1019 solver.cpp:374]     Train net output #0: loss_bbox = 18.1733 (* 2 = 36.3467 loss)
I0622 17:59:29.560505  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.4493 (* 1 = 12.4493 loss)
I0622 17:59:29.560514  1019 sgd_solver.cpp:170] Iteration 6561, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:30.508363  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6570.caffemodel
I0622 17:59:30.540977  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6570.solverstate
I0622 17:59:30.561354  1019 solver.cpp:516] Iteration 6570, Testing net (#0)
I0622 17:59:30.561480  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:30.600678  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:30.782938  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.2648 (* 2 = 32.5295 loss)
I0622 17:59:30.782956  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3167 (* 1 = 15.3167 loss)
I0622 17:59:30.782963  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:30.782969  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:30.782975  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:30.782997  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.22262s
I0622 17:59:30.901690  1019 solver.cpp:350] Iteration 6570 (7.36123 iter/s, 1.22262s/9 iter), 91/101.2ep, loss = 29.1053
I0622 17:59:30.901707  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.63041 (* 2 = 19.2608 loss)
I0622 17:59:30.901715  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.84084 (* 1 = 9.84084 loss)
I0622 17:59:30.901726  1019 sgd_solver.cpp:170] Iteration 6570, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:31.970417  1019 solver.cpp:350] Iteration 6579 (8.4213 iter/s, 1.06872s/9 iter), 91.2/101.2ep, loss = 7.29248
I0622 17:59:31.970434  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.97125 (* 2 = 3.94249 loss)
I0622 17:59:31.970443  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.34637 (* 1 = 3.34637 loss)
I0622 17:59:31.970453  1019 sgd_solver.cpp:170] Iteration 6579, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:33.037425  1019 solver.cpp:350] Iteration 6588 (8.43486 iter/s, 1.067s/9 iter), 91.3/101.2ep, loss = 15.8499
I0622 17:59:33.037446  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.42169 (* 2 = 10.8434 loss)
I0622 17:59:33.037456  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.00293 (* 1 = 5.00293 loss)
I0622 17:59:33.037464  1019 sgd_solver.cpp:170] Iteration 6588, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:34.109287  1019 solver.cpp:350] Iteration 6597 (8.39668 iter/s, 1.07185s/9 iter), 91.4/101.2ep, loss = 19.399
I0622 17:59:34.109305  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.28798 (* 2 = 12.576 loss)
I0622 17:59:34.109313  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.81941 (* 1 = 6.81941 loss)
I0622 17:59:34.109320  1019 sgd_solver.cpp:170] Iteration 6597, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:35.184484  1019 solver.cpp:350] Iteration 6606 (8.37061 iter/s, 1.07519s/9 iter), 91.5/101.2ep, loss = 33.9088
I0622 17:59:35.184502  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.7864 (* 2 = 21.5729 loss)
I0622 17:59:35.184511  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.3323 (* 1 = 12.3323 loss)
I0622 17:59:35.184521  1019 sgd_solver.cpp:170] Iteration 6606, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:35.900202  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:35.927773  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:36.258117  1019 solver.cpp:350] Iteration 6615 (8.38281 iter/s, 1.07363s/9 iter), 91.7/101.2ep, loss = 45.1065
I0622 17:59:36.258137  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.2383 (* 2 = 30.4767 loss)
I0622 17:59:36.258147  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.6262 (* 1 = 14.6262 loss)
I0622 17:59:36.258157  1019 sgd_solver.cpp:170] Iteration 6615, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:37.330590  1019 solver.cpp:350] Iteration 6624 (8.39186 iter/s, 1.07247s/9 iter), 91.8/101.2ep, loss = 29.3982
I0622 17:59:37.330610  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.5246 (* 2 = 19.0492 loss)
I0622 17:59:37.330618  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.3455 (* 1 = 10.3455 loss)
I0622 17:59:37.330626  1019 sgd_solver.cpp:170] Iteration 6624, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:38.465214  1019 solver.cpp:350] Iteration 6633 (7.93218 iter/s, 1.13462s/9 iter), 91.9/101.2ep, loss = 24.89
I0622 17:59:38.465240  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.35961 (* 2 = 16.7192 loss)
I0622 17:59:38.465248  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.16716 (* 1 = 8.16716 loss)
I0622 17:59:38.465255  1019 sgd_solver.cpp:170] Iteration 6633, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:39.554678  1019 solver.cpp:350] Iteration 6642 (8.26104 iter/s, 1.08945s/9 iter), 92/101.2ep, loss = 31.887
I0622 17:59:39.554700  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.6723 (* 2 = 23.3445 loss)
I0622 17:59:39.554709  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.53884 (* 1 = 8.53884 loss)
I0622 17:59:39.554716  1019 sgd_solver.cpp:170] Iteration 6642, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:39.554728  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6643.caffemodel
I0622 17:59:39.593271  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6643.solverstate
I0622 17:59:39.617730  1019 solver.cpp:516] Iteration 6643, Testing net (#0)
I0622 17:59:39.617928  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:39.655792  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:39.797931  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:39.831357  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:39.845018  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.238 (* 2 = 34.476 loss)
I0622 17:59:39.845038  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8518 (* 1 = 17.8518 loss)
I0622 17:59:39.845044  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:39.845052  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:39.845057  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:39.845079  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.290413s
I0622 17:59:40.930961  1019 solver.cpp:350] Iteration 6651 (30.9904 iter/s, 0.290413s/9 iter), 92.2/101.2ep, loss = 16.9368
I0622 17:59:40.930982  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.46899 (* 2 = 10.938 loss)
I0622 17:59:40.930989  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.99528 (* 1 = 5.99528 loss)
I0622 17:59:40.930996  1019 sgd_solver.cpp:170] Iteration 6651, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:42.007481  1019 solver.cpp:350] Iteration 6660 (8.3603 iter/s, 1.07652s/9 iter), 92.3/101.2ep, loss = 7.78161
I0622 17:59:42.007499  1019 solver.cpp:374]     Train net output #0: loss_bbox = 2.88267 (* 2 = 5.76534 loss)
I0622 17:59:42.007508  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.01268 (* 1 = 2.01268 loss)
I0622 17:59:42.007514  1019 sgd_solver.cpp:170] Iteration 6660, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:43.080333  1019 solver.cpp:350] Iteration 6669 (8.38889 iter/s, 1.07285s/9 iter), 92.4/101.2ep, loss = 24.8777
I0622 17:59:43.080358  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.93206 (* 2 = 15.8641 loss)
I0622 17:59:43.080369  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.00997 (* 1 = 9.00997 loss)
I0622 17:59:43.080377  1019 sgd_solver.cpp:170] Iteration 6669, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:44.150236  1019 solver.cpp:350] Iteration 6678 (8.41205 iter/s, 1.06989s/9 iter), 92.5/101.2ep, loss = 44.2964
I0622 17:59:44.150257  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.7327 (* 2 = 29.4655 loss)
I0622 17:59:44.150279  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8273 (* 1 = 14.8273 loss)
I0622 17:59:44.150287  1019 sgd_solver.cpp:170] Iteration 6678, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:44.866153  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:44.897549  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:45.224359  1019 solver.cpp:350] Iteration 6687 (8.37901 iter/s, 1.07411s/9 iter), 92.7/101.2ep, loss = 36.6183
I0622 17:59:45.224377  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.3137 (* 2 = 24.6274 loss)
I0622 17:59:45.224385  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9873 (* 1 = 11.9873 loss)
I0622 17:59:45.224395  1019 sgd_solver.cpp:170] Iteration 6687, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:46.296430  1019 solver.cpp:350] Iteration 6696 (8.39502 iter/s, 1.07206s/9 iter), 92.8/101.2ep, loss = 29.6709
I0622 17:59:46.296449  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.2548 (* 2 = 20.5097 loss)
I0622 17:59:46.296458  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.15762 (* 1 = 9.15762 loss)
I0622 17:59:46.296465  1019 sgd_solver.cpp:170] Iteration 6696, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:47.368007  1019 solver.cpp:350] Iteration 6705 (8.39885 iter/s, 1.07158s/9 iter), 92.9/101.2ep, loss = 47.1589
I0622 17:59:47.368026  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.3522 (* 2 = 32.7044 loss)
I0622 17:59:47.368034  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.4508 (* 1 = 14.4508 loss)
I0622 17:59:47.368042  1019 sgd_solver.cpp:170] Iteration 6705, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:48.446851  1019 solver.cpp:350] Iteration 6714 (8.34231 iter/s, 1.07884s/9 iter), 93/101.2ep, loss = 36.407
I0622 17:59:48.446871  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.8584 (* 2 = 29.7168 loss)
I0622 17:59:48.446878  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.68658 (* 1 = 6.68658 loss)
I0622 17:59:48.446885  1019 sgd_solver.cpp:170] Iteration 6714, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:48.567186  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6716.caffemodel
I0622 17:59:48.599845  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6716.solverstate
I0622 17:59:48.621886  1019 solver.cpp:516] Iteration 6716, Testing net (#0)
I0622 17:59:48.797111  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:48.827801  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:48.840551  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.7622 (* 2 = 35.5244 loss)
I0622 17:59:48.840567  1019 solver.cpp:602]     Test net output #1: loss_coverage = 16.0158 (* 1 = 16.0158 loss)
I0622 17:59:48.840575  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:48.840581  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:48.840586  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:48.840606  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.393759s
I0622 17:59:49.802934  1019 solver.cpp:350] Iteration 6723 (22.8566 iter/s, 0.393759s/9 iter), 93.2/101.2ep, loss = 22.2803
I0622 17:59:49.802954  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.56171 (* 2 = 15.1234 loss)
I0622 17:59:49.802963  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.15321 (* 1 = 7.15321 loss)
I0622 17:59:49.802968  1019 sgd_solver.cpp:170] Iteration 6723, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:50.886274  1019 solver.cpp:350] Iteration 6732 (8.30766 iter/s, 1.08334s/9 iter), 93.3/101.2ep, loss = 25.7702
I0622 17:59:50.886293  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.13009 (* 2 = 18.2602 loss)
I0622 17:59:50.886301  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.50635 (* 1 = 7.50635 loss)
I0622 17:59:50.886308  1019 sgd_solver.cpp:170] Iteration 6732, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:51.961114  1019 solver.cpp:350] Iteration 6741 (8.37349 iter/s, 1.07482s/9 iter), 93.4/101.2ep, loss = 29.3561
I0622 17:59:51.961133  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.92741 (* 2 = 19.8548 loss)
I0622 17:59:51.961140  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.49764 (* 1 = 9.49764 loss)
I0622 17:59:51.961148  1019 sgd_solver.cpp:170] Iteration 6741, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:53.044435  1019 solver.cpp:350] Iteration 6750 (8.30785 iter/s, 1.08331s/9 iter), 93.5/101.2ep, loss = 26.6081
I0622 17:59:53.044454  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.38407 (* 2 = 16.7681 loss)
I0622 17:59:53.044461  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.8363 (* 1 = 9.8363 loss)
I0622 17:59:53.044469  1019 sgd_solver.cpp:170] Iteration 6750, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:53.761685  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:53.793952  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:54.118594  1019 solver.cpp:350] Iteration 6759 (8.37866 iter/s, 1.07416s/9 iter), 93.7/101.2ep, loss = 19.6693
I0622 17:59:54.118613  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.81724 (* 2 = 11.6345 loss)
I0622 17:59:54.118621  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.0312 (* 1 = 8.0312 loss)
I0622 17:59:54.118628  1019 sgd_solver.cpp:170] Iteration 6759, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:55.188119  1019 solver.cpp:350] Iteration 6768 (8.41499 iter/s, 1.06952s/9 iter), 93.8/101.2ep, loss = 23.9195
I0622 17:59:55.188139  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.38834 (* 2 = 16.7767 loss)
I0622 17:59:55.188148  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.13911 (* 1 = 7.13911 loss)
I0622 17:59:55.188154  1019 sgd_solver.cpp:170] Iteration 6768, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:56.257850  1019 solver.cpp:350] Iteration 6777 (8.41341 iter/s, 1.06972s/9 iter), 93.9/101.2ep, loss = 63.165
I0622 17:59:56.257874  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.0865 (* 2 = 50.173 loss)
I0622 17:59:56.257885  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9883 (* 1 = 12.9883 loss)
I0622 17:59:56.257894  1019 sgd_solver.cpp:170] Iteration 6777, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:57.333875  1019 solver.cpp:350] Iteration 6786 (8.36416 iter/s, 1.07602s/9 iter), 94/101.2ep, loss = 72.0647
I0622 17:59:57.333894  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.9707 (* 2 = 57.9413 loss)
I0622 17:59:57.333902  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.1197 (* 1 = 14.1197 loss)
I0622 17:59:57.333909  1019 sgd_solver.cpp:170] Iteration 6786, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:57.573032  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6789.caffemodel
I0622 17:59:57.606006  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6789.solverstate
I0622 17:59:57.627490  1019 solver.cpp:516] Iteration 6789, Testing net (#0)
I0622 17:59:57.758738  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:57.789193  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 17:59:57.845659  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.432 (* 2 = 36.864 loss)
I0622 17:59:57.845677  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.083 (* 1 = 19.083 loss)
I0622 17:59:57.845685  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 17:59:57.845690  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 17:59:57.845696  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 17:59:57.845716  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.511844s
I0622 17:59:58.679098  1019 solver.cpp:350] Iteration 6795 (17.5835 iter/s, 0.511844s/9 iter), 94.2/101.2ep, loss = 15.1537
I0622 17:59:58.679118  1019 solver.cpp:374]     Train net output #0: loss_bbox = 5.15789 (* 2 = 10.3158 loss)
I0622 17:59:58.679141  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.83419 (* 1 = 4.83419 loss)
I0622 17:59:58.679147  1019 sgd_solver.cpp:170] Iteration 6795, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 17:59:59.750252  1019 solver.cpp:350] Iteration 6804 (8.40222 iter/s, 1.07115s/9 iter), 94.3/101.2ep, loss = 21.0016
I0622 17:59:59.750370  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.41774 (* 2 = 14.8355 loss)
I0622 17:59:59.750385  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.16246 (* 1 = 6.16246 loss)
I0622 17:59:59.750394  1019 sgd_solver.cpp:170] Iteration 6804, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:00.822199  1019 solver.cpp:350] Iteration 6813 (8.396 iter/s, 1.07194s/9 iter), 94.4/101.2ep, loss = 125.512
I0622 18:00:00.822219  1019 solver.cpp:374]     Train net output #0: loss_bbox = 56.3892 (* 2 = 112.778 loss)
I0622 18:00:00.822227  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.7305 (* 1 = 12.7305 loss)
I0622 18:00:00.822234  1019 sgd_solver.cpp:170] Iteration 6813, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:01.894451  1019 solver.cpp:350] Iteration 6822 (8.39361 iter/s, 1.07224s/9 iter), 94.5/101.2ep, loss = 21.1957
I0622 18:00:01.894471  1019 solver.cpp:374]     Train net output #0: loss_bbox = 6.33768 (* 2 = 12.6754 loss)
I0622 18:00:01.894479  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.51666 (* 1 = 8.51666 loss)
I0622 18:00:01.894486  1019 sgd_solver.cpp:170] Iteration 6822, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:02.608093  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:02.643580  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:02.967511  1019 solver.cpp:350] Iteration 6831 (8.38729 iter/s, 1.07305s/9 iter), 94.7/101.2ep, loss = 2.10738
I0622 18:00:02.967530  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0.546327 (* 2 = 1.09265 loss)
I0622 18:00:02.967538  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.01109 (* 1 = 1.01109 loss)
I0622 18:00:02.967545  1019 sgd_solver.cpp:170] Iteration 6831, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:04.049330  1019 solver.cpp:350] Iteration 6840 (8.31932 iter/s, 1.08182s/9 iter), 94.8/101.2ep, loss = 29.8026
I0622 18:00:04.049371  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.82088 (* 2 = 19.6418 loss)
I0622 18:00:04.049383  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.1572 (* 1 = 10.1572 loss)
I0622 18:00:04.049393  1019 sgd_solver.cpp:170] Iteration 6840, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:05.124871  1019 solver.cpp:350] Iteration 6849 (8.36798 iter/s, 1.07553s/9 iter), 94.9/101.2ep, loss = 54.2151
I0622 18:00:05.124902  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.8118 (* 2 = 39.6237 loss)
I0622 18:00:05.124914  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.5878 (* 1 = 14.5878 loss)
I0622 18:00:05.124923  1019 sgd_solver.cpp:170] Iteration 6849, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:06.201475  1019 solver.cpp:350] Iteration 6858 (8.35974 iter/s, 1.07659s/9 iter), 95/101.2ep, loss = 43.437
I0622 18:00:06.201498  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.3233 (* 2 = 34.6465 loss)
I0622 18:00:06.201509  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.78689 (* 1 = 8.78689 loss)
I0622 18:00:06.201517  1019 sgd_solver.cpp:170] Iteration 6858, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:06.558661  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6862.caffemodel
I0622 18:00:06.591624  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6862.solverstate
I0622 18:00:06.612521  1019 solver.cpp:516] Iteration 6862, Testing net (#0)
I0622 18:00:06.744048  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:06.774912  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:06.830782  1019 solver.cpp:602]     Test net output #0: loss_bbox = 13.797 (* 2 = 27.594 loss)
I0622 18:00:06.830801  1019 solver.cpp:602]     Test net output #1: loss_coverage = 13.7887 (* 1 = 13.7887 loss)
I0622 18:00:06.830807  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:06.830814  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:06.830819  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:06.830854  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.629392s
I0622 18:00:07.545066  1019 solver.cpp:350] Iteration 6867 (14.2995 iter/s, 0.629392s/9 iter), 95.2/101.2ep, loss = 4.82681
I0622 18:00:07.545085  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.41282 (* 2 = 2.82565 loss)
I0622 18:00:07.545099  1019 solver.cpp:374]     Train net output #1: loss_coverage = 1.99751 (* 1 = 1.99751 loss)
I0622 18:00:07.545107  1019 sgd_solver.cpp:170] Iteration 6867, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:08.621944  1019 solver.cpp:350] Iteration 6876 (8.35752 iter/s, 1.07687s/9 iter), 95.3/101.2ep, loss = 12.3909
I0622 18:00:08.621964  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.01284 (* 2 = 8.02567 loss)
I0622 18:00:08.621974  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.36161 (* 1 = 4.36161 loss)
I0622 18:00:08.621984  1019 sgd_solver.cpp:170] Iteration 6876, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:09.693761  1019 solver.cpp:350] Iteration 6885 (8.39699 iter/s, 1.07181s/9 iter), 95.4/101.2ep, loss = 65.5362
I0622 18:00:09.693780  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.6906 (* 2 = 57.3812 loss)
I0622 18:00:09.693795  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.15142 (* 1 = 8.15142 loss)
I0622 18:00:09.693805  1019 sgd_solver.cpp:170] Iteration 6885, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:10.768398  1019 solver.cpp:350] Iteration 6894 (8.37505 iter/s, 1.07462s/9 iter), 95.5/101.2ep, loss = 15.4245
I0622 18:00:10.768416  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.37369 (* 2 = 8.74738 loss)
I0622 18:00:10.768424  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.67345 (* 1 = 6.67345 loss)
I0622 18:00:10.768432  1019 sgd_solver.cpp:170] Iteration 6894, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:11.483611  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:11.518563  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:11.841890  1019 solver.cpp:350] Iteration 6903 (8.38388 iter/s, 1.07349s/9 iter), 95.7/101.2ep, loss = 0.0182076
I0622 18:00:11.841910  1019 solver.cpp:374]     Train net output #0: loss_bbox = 0 (* 2 = 0 loss)
I0622 18:00:11.841918  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.0145416 (* 1 = 0.0145416 loss)
I0622 18:00:11.841925  1019 sgd_solver.cpp:170] Iteration 6903, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:12.912181  1019 solver.cpp:350] Iteration 6912 (8.40899 iter/s, 1.07028s/9 iter), 95.8/101.2ep, loss = 28.9843
I0622 18:00:12.912202  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.48576 (* 2 = 18.9715 loss)
I0622 18:00:12.912211  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.0091 (* 1 = 10.0091 loss)
I0622 18:00:12.912220  1019 sgd_solver.cpp:170] Iteration 6912, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:13.984639  1019 solver.cpp:350] Iteration 6921 (8.39195 iter/s, 1.07246s/9 iter), 95.9/101.2ep, loss = 44.5452
I0622 18:00:13.984659  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.2913 (* 2 = 34.5826 loss)
I0622 18:00:13.984670  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.95899 (* 1 = 9.95899 loss)
I0622 18:00:13.984679  1019 sgd_solver.cpp:170] Iteration 6921, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:15.058753  1019 solver.cpp:350] Iteration 6930 (8.37909 iter/s, 1.0741s/9 iter), 96/101.2ep, loss = 61.3194
I0622 18:00:15.058774  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.4984 (* 2 = 46.9968 loss)
I0622 18:00:15.058784  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.319 (* 1 = 14.319 loss)
I0622 18:00:15.058794  1019 sgd_solver.cpp:170] Iteration 6930, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:15.537184  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_6935.caffemodel
I0622 18:00:15.571694  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_6935.solverstate
I0622 18:00:15.593175  1019 solver.cpp:516] Iteration 6935, Testing net (#0)
I0622 18:00:15.683957  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:15.722864  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:15.818078  1019 solver.cpp:602]     Test net output #0: loss_bbox = 21.238 (* 2 = 42.476 loss)
I0622 18:00:15.818097  1019 solver.cpp:602]     Test net output #1: loss_coverage = 19.4791 (* 1 = 19.4791 loss)
I0622 18:00:15.818104  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:15.818110  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:15.818116  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:15.818140  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.759394s
I0622 18:00:16.414364  1019 solver.cpp:350] Iteration 6939 (11.8516 iter/s, 0.759394s/9 iter), 96.2/101.2ep, loss = 7.31775
I0622 18:00:16.414386  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.97617 (* 2 = 3.95235 loss)
I0622 18:00:16.414394  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.36173 (* 1 = 3.36173 loss)
I0622 18:00:16.414402  1019 sgd_solver.cpp:170] Iteration 6939, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:17.487372  1019 solver.cpp:350] Iteration 6948 (8.38762 iter/s, 1.07301s/9 iter), 96.3/101.2ep, loss = 191.762
I0622 18:00:17.487392  1019 solver.cpp:374]     Train net output #0: loss_bbox = 89.8081 (* 2 = 179.616 loss)
I0622 18:00:17.487401  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.1423 (* 1 = 12.1423 loss)
I0622 18:00:17.487408  1019 sgd_solver.cpp:170] Iteration 6948, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:18.561308  1019 solver.cpp:350] Iteration 6957 (8.38051 iter/s, 1.07392s/9 iter), 96.4/101.2ep, loss = 61.5723
I0622 18:00:18.561329  1019 solver.cpp:374]     Train net output #0: loss_bbox = 28.1958 (* 2 = 56.3916 loss)
I0622 18:00:18.561338  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.17704 (* 1 = 5.17704 loss)
I0622 18:00:18.561345  1019 sgd_solver.cpp:170] Iteration 6957, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:19.635228  1019 solver.cpp:350] Iteration 6966 (8.38055 iter/s, 1.07391s/9 iter), 96.5/101.2ep, loss = 31.6853
I0622 18:00:19.635251  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.84577 (* 2 = 19.6915 loss)
I0622 18:00:19.635259  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.9901 (* 1 = 11.9901 loss)
I0622 18:00:19.635268  1019 sgd_solver.cpp:170] Iteration 6966, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:20.352231  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:20.390677  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:20.709722  1019 solver.cpp:350] Iteration 6975 (8.37609 iter/s, 1.07449s/9 iter), 96.7/101.2ep, loss = 3.38671
I0622 18:00:20.709743  1019 solver.cpp:374]     Train net output #0: loss_bbox = 1.44241 (* 2 = 2.88482 loss)
I0622 18:00:20.709751  1019 solver.cpp:374]     Train net output #1: loss_coverage = 0.498236 (* 1 = 0.498236 loss)
I0622 18:00:20.709758  1019 sgd_solver.cpp:170] Iteration 6975, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:21.783131  1019 solver.cpp:350] Iteration 6984 (8.38452 iter/s, 1.07341s/9 iter), 96.8/101.2ep, loss = 45.8986
I0622 18:00:21.783151  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.1242 (* 2 = 32.2485 loss)
I0622 18:00:21.783162  1019 solver.cpp:374]     Train net output #1: loss_coverage = 13.6465 (* 1 = 13.6465 loss)
I0622 18:00:21.783170  1019 sgd_solver.cpp:170] Iteration 6984, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:22.856647  1019 solver.cpp:350] Iteration 6993 (8.38377 iter/s, 1.0735s/9 iter), 96.9/101.2ep, loss = 21.6769
I0622 18:00:22.856665  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.51359 (* 2 = 15.0272 loss)
I0622 18:00:22.856674  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.64602 (* 1 = 6.64602 loss)
I0622 18:00:22.856683  1019 sgd_solver.cpp:170] Iteration 6993, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:23.927630  1019 solver.cpp:350] Iteration 7002 (8.40349 iter/s, 1.07098s/9 iter), 97/101.2ep, loss = 38.3252
I0622 18:00:23.927664  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.1657 (* 2 = 30.3315 loss)
I0622 18:00:23.927672  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.99009 (* 1 = 7.99009 loss)
I0622 18:00:23.927680  1019 sgd_solver.cpp:170] Iteration 7002, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:24.522660  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_7008.caffemodel
I0622 18:00:24.555351  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_7008.solverstate
I0622 18:00:24.575752  1019 solver.cpp:516] Iteration 7008, Testing net (#0)
I0622 18:00:24.662894  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:24.693826  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:24.795087  1019 solver.cpp:602]     Test net output #0: loss_bbox = 15.2339 (* 2 = 30.4677 loss)
I0622 18:00:24.795105  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.786 (* 1 = 15.786 loss)
I0622 18:00:24.795112  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:24.795120  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:24.795126  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:24.795148  1019 solver.cpp:281] [MultiGPU] Tests completed in 0.867519s
I0622 18:00:25.271306  1019 solver.cpp:350] Iteration 7011 (10.3744 iter/s, 0.867519s/9 iter), 97.2/101.2ep, loss = 24.4128
I0622 18:00:25.271328  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.7018 (* 2 = 17.4036 loss)
I0622 18:00:25.271338  1019 solver.cpp:374]     Train net output #1: loss_coverage = 7.00557 (* 1 = 7.00557 loss)
I0622 18:00:25.271347  1019 sgd_solver.cpp:170] Iteration 7011, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:26.345579  1019 solver.cpp:350] Iteration 7020 (8.37776 iter/s, 1.07427s/9 iter), 97.3/101.2ep, loss = 707.84
I0622 18:00:26.345599  1019 solver.cpp:374]     Train net output #0: loss_bbox = 347.686 (* 2 = 695.373 loss)
I0622 18:00:26.345607  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.4636 (* 1 = 12.4636 loss)
I0622 18:00:26.345615  1019 sgd_solver.cpp:170] Iteration 7020, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:27.422154  1019 solver.cpp:350] Iteration 7029 (8.35995 iter/s, 1.07656s/9 iter), 97.4/101.2ep, loss = 12.3251
I0622 18:00:27.422173  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.22914 (* 2 = 8.45827 loss)
I0622 18:00:27.422181  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.86322 (* 1 = 3.86322 loss)
I0622 18:00:27.422188  1019 sgd_solver.cpp:170] Iteration 7029, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:28.492199  1019 solver.cpp:350] Iteration 7038 (8.41092 iter/s, 1.07004s/9 iter), 97.5/101.2ep, loss = 71.9714
I0622 18:00:28.492218  1019 solver.cpp:374]     Train net output #0: loss_bbox = 26.3615 (* 2 = 52.7229 loss)
I0622 18:00:28.492225  1019 solver.cpp:374]     Train net output #1: loss_coverage = 19.2449 (* 1 = 19.2449 loss)
I0622 18:00:28.492233  1019 sgd_solver.cpp:170] Iteration 7038, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:29.206981  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:29.241858  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:29.564437  1019 solver.cpp:350] Iteration 7047 (8.39372 iter/s, 1.07223s/9 iter), 97.6/101.2ep, loss = 9.86386
I0622 18:00:29.564456  1019 solver.cpp:374]     Train net output #0: loss_bbox = 3.59438 (* 2 = 7.18876 loss)
I0622 18:00:29.564463  1019 solver.cpp:374]     Train net output #1: loss_coverage = 2.67149 (* 1 = 2.67149 loss)
I0622 18:00:29.564471  1019 sgd_solver.cpp:170] Iteration 7047, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:30.630460  1019 solver.cpp:350] Iteration 7056 (8.44264 iter/s, 1.06602s/9 iter), 97.8/101.2ep, loss = 61.3138
I0622 18:00:30.630551  1019 solver.cpp:374]     Train net output #0: loss_bbox = 23.2529 (* 2 = 46.5057 loss)
I0622 18:00:30.630560  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.8044 (* 1 = 14.8044 loss)
I0622 18:00:30.630568  1019 sgd_solver.cpp:170] Iteration 7056, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:31.788568  1019 solver.cpp:350] Iteration 7065 (7.77137 iter/s, 1.1581s/9 iter), 97.9/101.2ep, loss = 13.3428
I0622 18:00:31.788590  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.83287 (* 2 = 9.66573 loss)
I0622 18:00:31.788601  1019 solver.cpp:374]     Train net output #1: loss_coverage = 3.67347 (* 1 = 3.67347 loss)
I0622 18:00:31.788610  1019 sgd_solver.cpp:170] Iteration 7065, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:32.874264  1019 solver.cpp:350] Iteration 7074 (8.28972 iter/s, 1.08568s/9 iter), 98/101.2ep, loss = 42.8594
I0622 18:00:32.874289  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.7661 (* 2 = 33.5322 loss)
I0622 18:00:32.874299  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.32356 (* 1 = 9.32356 loss)
I0622 18:00:32.874305  1019 sgd_solver.cpp:170] Iteration 7074, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:33.603989  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_7081.caffemodel
I0622 18:00:33.638516  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_7081.solverstate
I0622 18:00:33.663334  1019 solver.cpp:516] Iteration 7081, Testing net (#0)
I0622 18:00:33.709087  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:33.745971  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:33.885428  1019 solver.cpp:602]     Test net output #0: loss_bbox = 18.8229 (* 2 = 37.6458 loss)
I0622 18:00:33.885448  1019 solver.cpp:602]     Test net output #1: loss_coverage = 18.4151 (* 1 = 18.4151 loss)
I0622 18:00:33.885455  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:33.885462  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:33.885468  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:33.885490  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.01124s
I0622 18:00:34.242368  1019 solver.cpp:350] Iteration 7083 (8.89996 iter/s, 1.01124s/9 iter), 98.1/101.2ep, loss = 40.3483
I0622 18:00:34.242388  1019 solver.cpp:374]     Train net output #0: loss_bbox = 15.2885 (* 2 = 30.5769 loss)
I0622 18:00:34.242395  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.76781 (* 1 = 9.76781 loss)
I0622 18:00:34.242403  1019 sgd_solver.cpp:170] Iteration 7083, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:35.362565  1019 solver.cpp:350] Iteration 7092 (8.03439 iter/s, 1.12018s/9 iter), 98.3/101.2ep, loss = 1101.55
I0622 18:00:35.362589  1019 solver.cpp:374]     Train net output #0: loss_bbox = 542.293 (* 2 = 1084.59 loss)
I0622 18:00:35.362598  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.9656 (* 1 = 16.9656 loss)
I0622 18:00:35.362607  1019 sgd_solver.cpp:170] Iteration 7092, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:36.449029  1019 solver.cpp:350] Iteration 7101 (8.28381 iter/s, 1.08646s/9 iter), 98.4/101.2ep, loss = 15.5829
I0622 18:00:36.449050  1019 solver.cpp:374]     Train net output #0: loss_bbox = 4.59232 (* 2 = 9.18465 loss)
I0622 18:00:36.449060  1019 solver.cpp:374]     Train net output #1: loss_coverage = 6.39463 (* 1 = 6.39463 loss)
I0622 18:00:36.449069  1019 sgd_solver.cpp:170] Iteration 7101, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:37.536854  1019 solver.cpp:350] Iteration 7110 (8.27337 iter/s, 1.08783s/9 iter), 98.5/101.2ep, loss = 59.9517
I0622 18:00:37.536875  1019 solver.cpp:374]     Train net output #0: loss_bbox = 21.8095 (* 2 = 43.619 loss)
I0622 18:00:37.536885  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.3291 (* 1 = 16.3291 loss)
I0622 18:00:37.536895  1019 sgd_solver.cpp:170] Iteration 7110, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:38.250897  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:38.286552  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:38.607820  1019 solver.cpp:350] Iteration 7119 (8.40373 iter/s, 1.07095s/9 iter), 98.6/101.2ep, loss = 46.0775
I0622 18:00:38.607841  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.5502 (* 2 = 33.1005 loss)
I0622 18:00:38.607851  1019 solver.cpp:374]     Train net output #1: loss_coverage = 12.9734 (* 1 = 12.9734 loss)
I0622 18:00:38.607859  1019 sgd_solver.cpp:170] Iteration 7119, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:39.680280  1019 solver.cpp:350] Iteration 7128 (8.39199 iter/s, 1.07245s/9 iter), 98.8/101.2ep, loss = 68.0984
I0622 18:00:39.680299  1019 solver.cpp:374]     Train net output #0: loss_bbox = 25.6417 (* 2 = 51.2835 loss)
I0622 18:00:39.680308  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.8113 (* 1 = 16.8113 loss)
I0622 18:00:39.680318  1019 sgd_solver.cpp:170] Iteration 7128, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:40.755503  1019 solver.cpp:350] Iteration 7137 (8.37035 iter/s, 1.07522s/9 iter), 98.9/101.2ep, loss = 31.9323
I0622 18:00:40.755525  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.3014 (* 2 = 22.6028 loss)
I0622 18:00:40.755535  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.32587 (* 1 = 9.32587 loss)
I0622 18:00:40.755545  1019 sgd_solver.cpp:170] Iteration 7137, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:41.826186  1019 solver.cpp:350] Iteration 7146 (8.40593 iter/s, 1.07067s/9 iter), 99/101.2ep, loss = 28.7096
I0622 18:00:41.826210  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.8545 (* 2 = 23.7091 loss)
I0622 18:00:41.826221  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.99691 (* 1 = 4.99691 loss)
I0622 18:00:41.826231  1019 sgd_solver.cpp:170] Iteration 7146, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:42.659472  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_7154.caffemodel
I0622 18:00:42.692190  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_7154.solverstate
I0622 18:00:42.712617  1019 solver.cpp:516] Iteration 7154, Testing net (#0)
I0622 18:00:42.756114  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:42.802662  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:42.932356  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.1845 (* 2 = 32.3689 loss)
I0622 18:00:42.932375  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.1215 (* 1 = 17.1215 loss)
I0622 18:00:42.932382  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:42.932389  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:42.932395  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:42.932416  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.10623s
I0622 18:00:43.169543  1019 solver.cpp:350] Iteration 7155 (8.13572 iter/s, 1.10623s/9 iter), 99.1/101.2ep, loss = 40.226
I0622 18:00:43.169562  1019 solver.cpp:374]     Train net output #0: loss_bbox = 16.0371 (* 2 = 32.0743 loss)
I0622 18:00:43.169570  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.14807 (* 1 = 8.14807 loss)
I0622 18:00:43.169579  1019 sgd_solver.cpp:170] Iteration 7155, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:44.243208  1019 solver.cpp:350] Iteration 7164 (8.38252 iter/s, 1.07366s/9 iter), 99.3/101.2ep, loss = 19.2017
I0622 18:00:44.243228  1019 solver.cpp:374]     Train net output #0: loss_bbox = 7.50989 (* 2 = 15.0198 loss)
I0622 18:00:44.243237  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.17831 (* 1 = 4.17831 loss)
I0622 18:00:44.243243  1019 sgd_solver.cpp:170] Iteration 7164, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:45.317142  1019 solver.cpp:350] Iteration 7173 (8.38051 iter/s, 1.07392s/9 iter), 99.4/101.2ep, loss = 40.0631
I0622 18:00:45.317160  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.452 (* 2 = 28.9041 loss)
I0622 18:00:45.317168  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.1554 (* 1 = 11.1554 loss)
I0622 18:00:45.317189  1019 sgd_solver.cpp:170] Iteration 7173, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:46.387887  1019 solver.cpp:350] Iteration 7182 (8.40542 iter/s, 1.07074s/9 iter), 99.5/101.2ep, loss = 51.5284
I0622 18:00:46.387908  1019 solver.cpp:374]     Train net output #0: loss_bbox = 17.2878 (* 2 = 34.5756 loss)
I0622 18:00:46.387918  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.9492 (* 1 = 16.9492 loss)
I0622 18:00:46.387928  1019 sgd_solver.cpp:170] Iteration 7182, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:47.102213  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:47.134413  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:47.458624  1019 solver.cpp:350] Iteration 7191 (8.40544 iter/s, 1.07074s/9 iter), 99.6/101.2ep, loss = 39.5111
I0622 18:00:47.458644  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.9299 (* 2 = 27.8597 loss)
I0622 18:00:47.458655  1019 solver.cpp:374]     Train net output #1: loss_coverage = 11.6477 (* 1 = 11.6477 loss)
I0622 18:00:47.458664  1019 sgd_solver.cpp:170] Iteration 7191, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:48.526573  1019 solver.cpp:350] Iteration 7200 (8.42751 iter/s, 1.06793s/9 iter), 99.8/101.2ep, loss = 37.3792
I0622 18:00:48.526594  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.5586 (* 2 = 27.1171 loss)
I0622 18:00:48.526605  1019 solver.cpp:374]     Train net output #1: loss_coverage = 10.2584 (* 1 = 10.2584 loss)
I0622 18:00:48.526614  1019 sgd_solver.cpp:170] Iteration 7200, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:49.610596  1019 solver.cpp:350] Iteration 7209 (8.30238 iter/s, 1.08403s/9 iter), 99.9/101.2ep, loss = 29.7055
I0622 18:00:49.610620  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.193 (* 2 = 20.386 loss)
I0622 18:00:49.610632  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.31586 (* 1 = 9.31586 loss)
I0622 18:00:49.610641  1019 sgd_solver.cpp:170] Iteration 7209, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:50.691133  1019 solver.cpp:350] Iteration 7218 (8.32931 iter/s, 1.08052s/9 iter), 100/101.2ep, loss = 29.9995
I0622 18:00:50.691154  1019 solver.cpp:374]     Train net output #0: loss_bbox = 10.9116 (* 2 = 21.8231 loss)
I0622 18:00:50.691161  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.17272 (* 1 = 8.17272 loss)
I0622 18:00:50.691171  1019 sgd_solver.cpp:170] Iteration 7218, lr = 1e-06, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:51.648586  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_7227.caffemodel
I0622 18:00:51.681393  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_7227.solverstate
I0622 18:00:51.701911  1019 solver.cpp:516] Iteration 7227, Testing net (#0)
I0622 18:00:51.702056  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:51.741817  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:51.922624  1019 solver.cpp:602]     Test net output #0: loss_bbox = 16.2141 (* 2 = 32.4283 loss)
I0622 18:00:51.922643  1019 solver.cpp:602]     Test net output #1: loss_coverage = 15.3155 (* 1 = 15.3155 loss)
I0622 18:00:51.922650  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:00:51.922657  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:00:51.922663  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:00:51.922683  1019 solver.cpp:281] [MultiGPU] Tests completed in 1.23156s
I0622 18:00:52.042747  1019 solver.cpp:350] Iteration 7227 (7.3078 iter/s, 1.23156s/9 iter), 100.1/101.2ep, loss = 25.4154
I0622 18:00:52.042768  1019 solver.cpp:374]     Train net output #0: loss_bbox = 9.79034 (* 2 = 19.5807 loss)
I0622 18:00:52.042775  1019 solver.cpp:374]     Train net output #1: loss_coverage = 5.83105 (* 1 = 5.83105 loss)
I0622 18:00:52.042783  1019 sgd_solver.cpp:170] Iteration 7227, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:53.124316  1019 solver.cpp:350] Iteration 7236 (8.32134 iter/s, 1.08156s/9 iter), 100.3/101.2ep, loss = 21.901
I0622 18:00:53.124357  1019 solver.cpp:374]     Train net output #0: loss_bbox = 8.88138 (* 2 = 17.7628 loss)
I0622 18:00:53.124369  1019 solver.cpp:374]     Train net output #1: loss_coverage = 4.13456 (* 1 = 4.13456 loss)
I0622 18:00:53.124379  1019 sgd_solver.cpp:170] Iteration 7236, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:54.199460  1019 solver.cpp:350] Iteration 7245 (8.37099 iter/s, 1.07514s/9 iter), 100.4/101.2ep, loss = 35.071
I0622 18:00:54.199479  1019 solver.cpp:374]     Train net output #0: loss_bbox = 13.3916 (* 2 = 26.7831 loss)
I0622 18:00:54.199487  1019 solver.cpp:374]     Train net output #1: loss_coverage = 8.28427 (* 1 = 8.28427 loss)
I0622 18:00:54.199494  1019 sgd_solver.cpp:170] Iteration 7245, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:55.279500  1019 solver.cpp:350] Iteration 7254 (8.33311 iter/s, 1.08003s/9 iter), 100.5/101.2ep, loss = 42.9963
I0622 18:00:55.279520  1019 solver.cpp:374]     Train net output #0: loss_bbox = 14.2195 (* 2 = 28.4389 loss)
I0622 18:00:55.279531  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.5537 (* 1 = 14.5537 loss)
I0622 18:00:55.279541  1019 sgd_solver.cpp:170] Iteration 7254, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:55.992596  1055 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:56.022954  1061 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:00:56.349927  1019 solver.cpp:350] Iteration 7263 (8.40785 iter/s, 1.07043s/9 iter), 100.6/101.2ep, loss = 63.4992
I0622 18:00:56.349946  1019 solver.cpp:374]     Train net output #0: loss_bbox = 24.1041 (* 2 = 48.2082 loss)
I0622 18:00:56.349954  1019 solver.cpp:374]     Train net output #1: loss_coverage = 15.2874 (* 1 = 15.2874 loss)
I0622 18:00:56.349961  1019 sgd_solver.cpp:170] Iteration 7263, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:57.416288  1019 solver.cpp:350] Iteration 7272 (8.44003 iter/s, 1.06635s/9 iter), 100.8/101.2ep, loss = 32.6265
I0622 18:00:57.416307  1019 solver.cpp:374]     Train net output #0: loss_bbox = 11.6439 (* 2 = 23.2878 loss)
I0622 18:00:57.416316  1019 solver.cpp:374]     Train net output #1: loss_coverage = 9.3351 (* 1 = 9.3351 loss)
I0622 18:00:57.416322  1019 sgd_solver.cpp:170] Iteration 7272, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:58.484336  1019 solver.cpp:350] Iteration 7281 (8.42664 iter/s, 1.06804s/9 iter), 100.9/101.2ep, loss = 39.6225
I0622 18:00:58.484355  1019 solver.cpp:374]     Train net output #0: loss_bbox = 12.3319 (* 2 = 24.6637 loss)
I0622 18:00:58.484364  1019 solver.cpp:374]     Train net output #1: loss_coverage = 14.9551 (* 1 = 14.9551 loss)
I0622 18:00:58.484370  1019 sgd_solver.cpp:170] Iteration 7281, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:00:59.552706  1019 solver.cpp:350] Iteration 7290 (8.4241 iter/s, 1.06836s/9 iter), 101/101.2ep, loss = 55.3192
I0622 18:00:59.552724  1019 solver.cpp:374]     Train net output #0: loss_bbox = 19.1369 (* 2 = 38.2738 loss)
I0622 18:00:59.552732  1019 solver.cpp:374]     Train net output #1: loss_coverage = 17.0417 (* 1 = 17.0417 loss)
I0622 18:00:59.552739  1019 sgd_solver.cpp:170] Iteration 7290, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:01:00.624313  1019 solver.cpp:350] Iteration 7299 (8.39861 iter/s, 1.07161s/9 iter), 101.1/101.2ep, loss = 72.194
I0622 18:01:00.624333  1019 solver.cpp:374]     Train net output #0: loss_bbox = 27.993 (* 2 = 55.986 loss)
I0622 18:01:00.624341  1019 solver.cpp:374]     Train net output #1: loss_coverage = 16.2043 (* 1 = 16.2043 loss)
I0622 18:01:00.624349  1019 sgd_solver.cpp:170] Iteration 7299, lr = 1e-07, m = 0.9, wd = 1e-06, gs = 1
I0622 18:01:00.624361  1019 solver.cpp:782] Snapshotting to binary proto file snapshot_iter_7300.caffemodel
I0622 18:01:00.658100  1019 sgd_solver.cpp:396] Snapshotting solver state to binary proto file snapshot_iter_7300.solverstate
I0622 18:01:00.679289  1019 solver.cpp:516] Iteration 7300, Testing net (#0)
I0622 18:01:00.679473  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:01:00.716311  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:01:00.856278  1014 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:01:00.886370  1011 data_reader.cpp:320] Restarting data pre-fetching
I0622 18:01:00.899483  1019 solver.cpp:602]     Test net output #0: loss_bbox = 17.1728 (* 2 = 34.3455 loss)
I0622 18:01:00.899502  1019 solver.cpp:602]     Test net output #1: loss_coverage = 17.8509 (* 1 = 17.8509 loss)
I0622 18:01:00.899508  1019 solver.cpp:602]     Test net output #2: mAP = 0
I0622 18:01:00.899514  1019 solver.cpp:602]     Test net output #3: precision = 0
I0622 18:01:00.899520  1019 solver.cpp:602]     Test net output #4: recall = 0
I0622 18:01:00.899758   991 parallel.cpp:67] Root Solver performance on device 0: 8.703 * 3 = 26.11 img/sec (7300 itr in 838.6 sec)
I0622 18:01:00.899770   991 parallel.cpp:72]      Solver performance on device 1: 8.703 * 3 = 26.11 img/sec (7300 itr in 838.6 sec)
I0622 18:01:00.899773   991 parallel.cpp:75] Overall multi-GPU performance: 52.2171 img/sec
I0622 18:01:01.045550   991 caffe.cpp:267] Optimization Done in 15m 17s