Alright, we found the issue
[property]
enable-dla=1
use-dla-core=0
net-scale-factor=1
model-file=../../models/GoogleNet-ILSVRC12-subset/deploy.caffemodel
proto-file=../../models/GoogleNet-ILSVRC12-subset/deploy.prototxt
model-engine-file=../../models/GoogleNet-ILSVRC12-subset/deploy.caffemodel_b30_fp16.engine
labelfile-path=../../models/GoogleNet-ILSVRC12-subset/synset_words.txt
batch-size=30
model-color-format=1
process-mode=2
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=2
is-classifier=1
output-blob-names=prob
classifier-async-mode=1
classifier-threshold=0.51
machine02:/usr/src/tensorrt/bin$ ./sample_googlenet --useDLACore=0
&&&& RUNNING TensorRT.sample_googlenet # ./sample_googlenet --useDLACore=0
[00/13/2020-15:14:32] [I] Building and running a GPU inference engine for GoogleNet
[00/13/2020-15:14:33] [W] [TRT] Default DLA is enabled but layer prob is not supported on DLA, falling back to GPU.
[00/13/2020-15:14:33] [I] [TRT]
[00/13/2020-15:14:33] [I] [TRT] --------------- Layers running on DLA:
[00/13/2020-15:14:33] [I] [TRT] {conv1/7x7_s2,conv1/relu_7x7,pool1/3x3_s2,pool1/norm1,conv2/3x3_reduce,conv2/relu_3x3_reduce,conv2/3x3,conv2/relu_3x3,conv2/norm2,pool2/3x3_s2,inception_3a/1x1,inception_3a/relu_1x1,inception_3a/3x3_reduce,inception_3a/relu_3x3_reduce,inception_3a/3x3,inception_3a/relu_3x3,inception_3a/5x5_reduce,inception_3a/relu_5x5_reduce,inception_3a/5x5,inception_3a/relu_5x5,inception_3a/pool,inception_3a/pool_proj,inception_3a/relu_pool_proj,inception_3a/output,inception_3b/1x1,inception_3b/relu_1x1,inception_3b/3x3_reduce,inception_3b/relu_3x3_reduce,inception_3b/3x3,inception_3b/relu_3x3,inception_3b/5x5_reduce,inception_3b/relu_5x5_reduce,inception_3b/5x5,inception_3b/relu_5x5,inception_3b/pool,inception_3b/pool_proj,inception_3b/relu_pool_proj,inception_3b/output,pool3/3x3_s2,inception_4a/1x1,inception_4a/relu_1x1,inception_4a/3x3_reduce,inception_4a/relu_3x3_reduce,inception_4a/3x3,inception_4a/relu_3x3,inception_4a/5x5_reduce,inception_4a/relu_5x5_reduce,inception_4a/5x5,inception_4a/relu_5x5,inception_4a/pool,inception_4a/pool_proj,inception_4a/relu_pool_proj,inception_4a/output,inception_4b/1x1,inception_4b/relu_1x1,inception_4b/3x3_reduce,inception_4b/relu_3x3_reduce,inception_4b/3x3,inception_4b/relu_3x3,inception_4b/5x5_reduce,inception_4b/relu_5x5_reduce,inception_4b/5x5,inception_4b/relu_5x5,inception_4b/pool,inception_4b/pool_proj,inception_4b/relu_pool_proj,inception_4b/output,inception_4c/1x1,inception_4c/relu_1x1,inception_4c/3x3_reduce,inception_4c/relu_3x3_reduce,inception_4c/3x3,inception_4c/relu_3x3,inception_4c/5x5_reduce,inception_4c/relu_5x5_reduce,inception_4c/5x5,inception_4c/relu_5x5,inception_4c/pool,inception_4c/pool_proj,inception_4c/relu_pool_proj,inception_4c/output,inception_4d/1x1,inception_4d/relu_1x1,inception_4d/3x3_reduce,inception_4d/relu_3x3_reduce,inception_4d/3x3,inception_4d/relu_3x3,inception_4d/5x5_reduce,inception_4d/relu_5x5_reduce,inception_4d/5x5,inception_4d/relu_5x5,inception_4d/pool,inception_4d/pool_proj,inception_4d/relu_pool_proj,inception_4d/output,inception_4e/1x1,inception_4e/relu_1x1,inception_4e/3x3_reduce,inception_4e/relu_3x3_reduce,inception_4e/3x3,inception_4e/relu_3x3,inception_4e/5x5_reduce,inception_4e/relu_5x5_reduce,inception_4e/5x5,inception_4e/relu_5x5,inception_4e/pool,inception_4e/pool_proj,inception_4e/relu_pool_proj,inception_4e/output,pool4/3x3_s2,inception_5a/1x1,inception_5a/relu_1x1,inception_5a/3x3_reduce,inception_5a/relu_3x3_reduce,inception_5a/3x3,inception_5a/relu_3x3,inception_5a/5x5_reduce,inception_5a/relu_5x5_reduce,inception_5a/5x5,inception_5a/relu_5x5,inception_5a/pool,inception_5a/pool_proj,inception_5a/relu_pool_proj,inception_5a/output,inception_5b/1x1,inception_5b/relu_1x1,inception_5b/3x3_reduce,inception_5b/relu_3x3_reduce,inception_5b/3x3,inception_5b/relu_3x3,inception_5b/5x5_reduce,inception_5b/relu_5x5_reduce,inception_5b/5x5,inception_5b/relu_5x5,inception_5b/pool,inception_5b/pool_proj,inception_5b/relu_pool_proj,inception_5b/output,pool5/7x7_s1,loss3/classifier},
[00/13/2020-15:14:33] [I] [TRT] --------------- Layers running on GPU:
[00/13/2020-15:14:33] [I] [TRT] prob,
[00/13/2020-15:14:37] [W] [TRT] No implementation obeys reformatting-free rules, at least 3 reformatting nodes are needed, now picking the fastest path instead.
[00/13/2020-15:14:37] [I] [TRT] Detected 1 inputs and 1 output network tensors.
[00/13/2020-15:14:40] [I] Ran ./sample_googlenet with:
[00/13/2020-15:14:40] [I] Input(s): data
[00/13/2020-15:14:40] [I] Output(s): prob
&&&& PASSED TensorRT.sample_googlenet # ./sample_googlenet --useDLACore=0
Deepstream output
Using winsys: x11
Creating LL OSD context new
0:00:03.808662151 17363 0x7f28002390 ERROR nvinfer gstnvinfer.cpp:511:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 6]:log(): INVALID_ARGUMENT: Can not find binding of given name
0:00:03.808759083 17363 0x7f28002390 WARN nvinfer gstnvinfer.cpp:515:gst_nvinfer_logger:<secondary_gie_0> NvDsInferContext[UID 6]:checkEngineParams(): Could not find output layer 'prob' in engine