roywei commented on issue #15039: Add gluonCV to fix AMP Tutorial URL: https://github.com/apache/incubator-mxnet/pull/15039#issuecomment-495017685 @ptrendx It's ok, reproduce on CI could be troublesome. As long as notebooks are running fine locally and dependencies are installed in CI docker, it should be fine. It's documented here. https://cwiki.apache.org/confluence/display/MXNET/Reproducing+test+results Here are the steps, on AWS Deeplearning Base AMI Ubuntu: 1. clone mxnet repo 2. install requirements ``` pip3 install -r ci/requirements.txt --user ``` 3. run build command copied from jenkins log (click `Build` -> `GPU: CUDA9.1+cuDNN7` -> 'Shell Scripts' -> 'show complete log'): http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/NightlyTestsForBinaries/detail/master/320/pipeline/38 ``` ci/build.py --docker-registry mxnetci --platform ubuntu_build_cuda --docker-build-retries 3 --shm-size 500m /work/runtime_functions.sh build_ubuntu_gpu_cuda100_cudnn7 ``` 4. Run the specifc job failed (Tutorial Python2 and 3), copy the command from log. ``` ci/build.py --docker-registry mxnetci --nvidiadocker --platform ubuntu_nightly_gpu --docker-build-retries 3 --shm-size 1500m /work/runtime_functions.sh nightly_tutorial_test_ubuntu_python2_gpu ```
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