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Fixes for MLPerf github action failures (#127)
* Update test-nvidia-mlperf-inference-implementations.yml * [Automated Commit] Format Codebase * Update requirements.txt
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.github/workflows/test-nvidia-mlperf-inference-implementations.yml

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python3 -m venv gh_action
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source gh_action/bin/activate
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export CM_REPOS=$HOME/GH_CM
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pip install --upgrade cm4mlops
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CM_PULL_DEFAULT_MLOPS_REPO=no pip install --upgrade cm4mlops
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cm pull repo
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cm run script --tags=run-mlperf,inference,_all-scenarios,_submission,_full,_r4.1-dev --preprocess_submission=yes --pull_changes=yes --pull_inference_changes=yes --execution_mode=valid --gpu_name=$gpu_name --pull_changes=yes --pull_inference_changes=yes --model=${{ matrix.model }} --submitter="MLCommons" --hw_name=$hw_name --implementation=nvidia --backend=tensorrt --category=datacenter,edge --division=closed --docker_dt=yes --docker_it=no --docker_cm_repo=mlcommons@mlperf-automations --docker_cm_repo_branch=dev --adr.compiler.tags=gcc --device=cuda --use_model_from_host=yes --use_dataset_from_host=yes --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean $docker_string --quiet

requirements.txt

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cmind>=2.0.1
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cmind @ git+https://github.com/gateoverflow/cm.git@mlperf-inference#egg=cmind&subdirectory=cm
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pyyaml
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requests
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setuptools

script/push-mlperf-inference-results-to-github/customize.py

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else:
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env['CM_GIT_PUSH_CMD'] = "git push"
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return {'return': 0}
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setup.py

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install_requires=[
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"setuptools>=60",
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"wheel",
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"cmind",
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"cmind @ git+https://github.com/gateoverflow/cm.git@mlperf-inference#egg=cmind&subdirectory=cm",
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"giturlparse",
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"requests",
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"tabulate",

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