name: "VGG_LPSS_SSD_704x448_deploy"
input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 448
  dim: 704
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "data"
  top: "conv1_1"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    dilation: 1
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    dilation: 1
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    dilation: 1
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "fc6"
  type: "Convolution"
  bottom: "pool5"
  top: "fc6"
  convolution_param {
    num_output: 1024
    pad: 6
    kernel_size: 3
    dilation: 6
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "fc7"
  type: "Convolution"
  bottom: "fc6"
  top: "fc7"
  convolution_param {
    num_output: 1024
    kernel_size: 1
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "conv6_1"
  type: "Convolution"
  bottom: "fc7"
  top: "conv6_1"
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "conv6_1_relu"
  type: "ReLU"
  bottom: "conv6_1"
  top: "conv6_1"
}
layer {
  name: "conv6_2"
  type: "Convolution"
  bottom: "conv6_1"
  top: "conv6_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "conv6_2_relu"
  type: "ReLU"
  bottom: "conv6_2"
  top: "conv6_2"
}
layer {
  name: "conv7_1"
  type: "Convolution"
  bottom: "conv6_2"
  top: "conv7_1"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "conv7_1_relu"
  type: "ReLU"
  bottom: "conv7_1"
  top: "conv7_1"
}
layer {
  name: "conv7_2"
  type: "Convolution"
  bottom: "conv7_1"
  top: "conv7_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "conv7_2_relu"
  type: "ReLU"
  bottom: "conv7_2"
  top: "conv7_2"
}
layer {
  name: "conv8_1"
  type: "Convolution"
  bottom: "conv7_2"
  top: "conv8_1"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "conv8_1_relu"
  type: "ReLU"
  bottom: "conv8_1"
  top: "conv8_1"
}
layer {
  name: "conv8_2"
  type: "Convolution"
  bottom: "conv8_1"
  top: "conv8_2"
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv8_2_relu"
  type: "ReLU"
  bottom: "conv8_2"
  top: "conv8_2"
}
layer {
  name: "conv9_1"
  type: "Convolution"
  bottom: "conv8_2"
  top: "conv9_1"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "conv9_1_relu"
  type: "ReLU"
  bottom: "conv9_1"
  top: "conv9_1"
}
layer {
  name: "conv9_2"
  type: "Convolution"
  bottom: "conv9_1"
  top: "conv9_2"
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv9_2_relu"
  type: "ReLU"
  bottom: "conv9_2"
  top: "conv9_2"
}
layer {
  name: "conv4_3_norm"
  type: "IPlugin"
#  type: "Normalize"
  bottom: "conv4_3"
  top: "conv4_3_norm"
#  norm_param {
#    across_spatial: false
#    scale_filler {
#      type: "constant"
#      value: 20
#    }
#    channel_shared: false
#  }
}
layer {
  name: "conv4_3_norm_mbox_loc"
  type: "Convolution"
  bottom: "conv4_3_norm"
  top: "conv4_3_norm_mbox_loc"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv4_3_norm_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv4_3_norm_mbox_loc"
  top: "conv4_3_norm_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv4_3_norm_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv4_3_norm_mbox_loc_perm"
  top: "conv4_3_norm_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv4_3_norm_mbox_conf"
  type: "Convolution"
  bottom: "conv4_3_norm"
  top: "conv4_3_norm_mbox_conf"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv4_3_norm_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv4_3_norm_mbox_conf"
  top: "conv4_3_norm_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv4_3_norm_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv4_3_norm_mbox_conf_perm"
  top: "conv4_3_norm_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "fc7_mbox_loc"
  type: "Convolution"
  bottom: "fc7"
  top: "fc7_mbox_loc"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "fc7_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "fc7_mbox_loc"
  top: "fc7_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "fc7_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "fc7_mbox_loc_perm"
  top: "fc7_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "fc7_mbox_conf"
  type: "Convolution"
  bottom: "fc7"
  top: "fc7_mbox_conf"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "fc7_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "fc7_mbox_conf"
  top: "fc7_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "fc7_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "fc7_mbox_conf_perm"
  top: "fc7_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv6_2_mbox_loc"
  type: "Convolution"
  bottom: "conv6_2"
  top: "conv6_2_mbox_loc"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv6_2_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv6_2_mbox_loc"
  top: "conv6_2_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv6_2_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv6_2_mbox_loc_perm"
  top: "conv6_2_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv6_2_mbox_conf"
  type: "Convolution"
  bottom: "conv6_2"
  top: "conv6_2_mbox_conf"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv6_2_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv6_2_mbox_conf"
  top: "conv6_2_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv6_2_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv6_2_mbox_conf_perm"
  top: "conv6_2_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv7_2_mbox_loc"
  type: "Convolution"
  bottom: "conv7_2"
  top: "conv7_2_mbox_loc"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv7_2_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv7_2_mbox_loc"
  top: "conv7_2_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv7_2_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv7_2_mbox_loc_perm"
  top: "conv7_2_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv7_2_mbox_conf"
  type: "Convolution"
  bottom: "conv7_2"
  top: "conv7_2_mbox_conf"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv7_2_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv7_2_mbox_conf"
  top: "conv7_2_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv7_2_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv7_2_mbox_conf_perm"
  top: "conv7_2_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv8_2_mbox_loc"
  type: "Convolution"
  bottom: "conv8_2"
  top: "conv8_2_mbox_loc"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv8_2_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv8_2_mbox_loc"
  top: "conv8_2_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv8_2_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv8_2_mbox_loc_perm"
  top: "conv8_2_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv8_2_mbox_conf"
  type: "Convolution"
  bottom: "conv8_2"
  top: "conv8_2_mbox_conf"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv8_2_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv8_2_mbox_conf"
  top: "conv8_2_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv8_2_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv8_2_mbox_conf_perm"
  top: "conv8_2_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv9_2_mbox_loc"
  type: "Convolution"
  bottom: "conv9_2"
  top: "conv9_2_mbox_loc"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv9_2_mbox_loc_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv9_2_mbox_loc"
  top: "conv9_2_mbox_loc_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv9_2_mbox_loc_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv9_2_mbox_loc_perm"
  top: "conv9_2_mbox_loc_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "conv9_2_mbox_conf"
  type: "Convolution"
  bottom: "conv9_2"
  top: "conv9_2_mbox_conf"
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "conv9_2_mbox_conf_perm"
#  type: "Permute"
  type: "IPlugin"  
  bottom: "conv9_2_mbox_conf"
  top: "conv9_2_mbox_conf_perm"
#  permute_param {
#    order: 0
#    order: 2
#    order: 3
#    order: 1
#  }
}
layer {
  name: "conv9_2_mbox_conf_flat"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "conv9_2_mbox_conf_perm"
  top: "conv9_2_mbox_conf_flat"
#  flatten_param {
#    axis: 1
#  }
}
layer {
  name: "mbox_loc"
  type: "Concat"
  bottom: "conv4_3_norm_mbox_loc_flat"
  bottom: "fc7_mbox_loc_flat"
  bottom: "conv6_2_mbox_loc_flat"
  bottom: "conv7_2_mbox_loc_flat"
  bottom: "conv8_2_mbox_loc_flat"
  bottom: "conv9_2_mbox_loc_flat"
  top: "mbox_loc"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_conf"
  type: "Concat"
  bottom: "conv4_3_norm_mbox_conf_flat"
  bottom: "fc7_mbox_conf_flat"
  bottom: "conv6_2_mbox_conf_flat"
  bottom: "conv7_2_mbox_conf_flat"
  bottom: "conv8_2_mbox_conf_flat"
  bottom: "conv9_2_mbox_conf_flat"
  top: "mbox_conf"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_conf_reshape"
#  type: "Reshape"
  type: "IPlugin"  
  bottom: "mbox_conf"
  top: "mbox_conf_reshape"
#  reshape_param {
#    shape {
#      dim: 0
#      dim: -1
#      dim: 4
#    }
#  }
}
layer {
  name: "mbox_conf_softmax"
#  type: "Softmax"
  type: "IPlugin"  
  bottom: "mbox_conf_reshape"
  top: "mbox_conf_softmax"
#  softmax_param {
#    axis: 2
#  }
}
layer {
  name: "mbox_conf_flatten"
#  type: "Flatten"
  type: "IPlugin"  
  bottom: "mbox_conf_softmax"
  top: "mbox_conf_flatten"
#  flatten_param {
#    axis: 1
#  }
}
#layer {
#  name: "detection_out"
#  type: "DetectionOutput"
#  bottom: "mbox_loc"
#  bottom: "mbox_conf_flatten"
#  top: "detection_out"
#  include {
#    phase: TEST
#  }
#  detection_output_param {
#    num_classes: 4
#    share_location: true
#    background_label_id: 0
#    nms_param {
#      nms_threshold: 0.45
#      top_k: 400
#    }
#    code_type: CENTER_SIZE
#    keep_top_k: 200
#    confidence_threshold: 0.01
#  }
#}