ChaiBapchya edited a comment on issue #16599: Imagenet inference to nightly fix URL: https://github.com/apache/incubator-mxnet/pull/16599#issuecomment-546154309 > That's output from the test. Can you make sure that this test case is not skipped @marcoabreu MKLDNN passes! ``` + ls -a ../../../lib ++ grep -oE mkldnn ++ tail -1 + lib_name=mkldnn + [[ -n mkldnn ]] + [[ mkldnn =~ mkldnn ]] >>> INFO: INT8 dummy data + echo '>>> INFO: INT8 dummy data' + LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:../../../lib + ./imagenet_inference --symbol_file ./model/resnet50_v1_int8-symbol.json --batch_size 1 --num_inference_batches 500 --benchmark [23:12:52] cpp-package/example/inference/imagenet_inference.cpp:302: Loading the model from ./model/resnet50_v1_int8-symbol.json [23:12:52] src/executor/graph_executor.cc:2014: Subgraph backend MKLDNN is activated. [23:12:52] cpp-package/example/inference/imagenet_inference.cpp:424: Running the forward pass on model to evaluate the performance.. [23:13:09] cpp-package/example/inference/imagenet_inference.cpp:439: benchmark completed! [23:13:09] cpp-package/example/inference/imagenet_inference.cpp:440: batch size: 1 num batch: 500 throughput: 29.8719 imgs/s latency:33.4763 ms ``` Here - http://jenkins.mxnet-ci-dev.amazon-ml.com/blue/organizations/jenkins/NightlyTestsForBinaries/detail/shared_library_nightly_fix/7/pipeline/72
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