Update self-push workflow (#17177)
* update push ci * install git-python * update comment * update deepspeed jobs * fix report * skip 2 more tests that require fairscale * Fix changes in test_fetcher.py (to deal with `setup.py` is changed) * set RUN_PT_TF_CROSS_TESTS=1 and final clean-up * remove SIGOPT_API_TOKEN * remove echo "$matrix_folders" Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -497,7 +497,7 @@ def retrieve_artifact(name: str, gpu: Optional[str]):
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raise ValueError(f"Invalid GPU for artifact. Passed GPU: `{gpu}`.")
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if gpu is not None:
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name = f"{gpu}-gpu-docker_{name}"
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name = f"{gpu}-gpu_{name}"
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_artifact = {}
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@@ -531,8 +531,8 @@ def retrieve_available_artifacts():
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directories = filter(os.path.isdir, os.listdir())
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for directory in directories:
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if directory.startswith("single-gpu-docker"):
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artifact_name = directory[len("single-gpu-docker") + 1 :]
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if directory.startswith("single-gpu"):
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artifact_name = directory[len("single-gpu") + 1 :]
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if artifact_name in _available_artifacts:
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_available_artifacts[artifact_name].single_gpu = True
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@@ -541,8 +541,8 @@ def retrieve_available_artifacts():
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_available_artifacts[artifact_name].add_path(directory, gpu="single")
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elif directory.startswith("multi-gpu-docker"):
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artifact_name = directory[len("multi-gpu-docker") + 1 :]
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elif directory.startswith("multi-gpu"):
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artifact_name = directory[len("multi-gpu") + 1 :]
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if artifact_name in _available_artifacts:
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_available_artifacts[artifact_name].multi_gpu = True
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@@ -561,6 +561,10 @@ def retrieve_available_artifacts():
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if __name__ == "__main__":
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# This env. variable is set in workflow file (under the job `send_results`).
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ci_event = os.environ["CI_EVENT"]
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arguments = sys.argv[1:][0]
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try:
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models = ast.literal_eval(arguments)
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@@ -609,7 +613,7 @@ if __name__ == "__main__":
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if "stats" in artifact:
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# Link to the GitHub Action job
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model_results[model]["job_link"] = github_actions_job_links.get(
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f"Model tests ({model}, {artifact_path['gpu']}-gpu-docker)"
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f"Model tests ({model}, {artifact_path['gpu']}-gpu)"
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)
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failed, success, time_spent = handle_test_results(artifact["stats"])
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@@ -667,6 +671,11 @@ if __name__ == "__main__":
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"Torch CUDA extension tests": "run_tests_torch_cuda_extensions_gpu_test_reports",
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}
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if ci_event == "push":
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del additional_files["Examples directory"]
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del additional_files["PyTorch pipelines"]
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del additional_files["TensorFlow pipelines"]
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additional_results = {
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key: {
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"failed": {"unclassified": 0, "single": 0, "multi": 0},
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@@ -689,7 +698,7 @@ if __name__ == "__main__":
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for artifact_path in available_artifacts[additional_files[key]].paths:
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if artifact_path["gpu"] is not None:
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additional_results[key]["job_link"] = github_actions_job_links.get(
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f"{key} ({artifact_path['gpu']}-gpu-docker)"
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f"{key} ({artifact_path['gpu']}-gpu)"
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)
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artifact = retrieve_artifact(artifact_path["name"], artifact_path["gpu"])
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stacktraces = handle_stacktraces(artifact["failures_line"])
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@@ -715,7 +724,7 @@ if __name__ == "__main__":
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artifact_path["gpu"]
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] += f"*{line}*\n_{stacktraces.pop(0)}_\n\n"
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message = Message("🤗 Results of the scheduled tests.", model_results, additional_results)
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message = Message(f"🤗 Results of the {ci_event} tests.", model_results, additional_results)
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message.post()
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message.post_reply()
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