mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
e9a40de1af
Summary: - [x] add the jobs to the matrix - [x] `jit_legacy` - [x] `nogpu_NO_AVX` - [x] `nogpu_NO_AVX2` - [x] `slow` - [x] use the test config properly to enable the different test conditions - [x] validate that it works - [x] disable on pull requests before merging Pull Request resolved: https://github.com/pytorch/pytorch/pull/61055 Test Plan: CI. Example run: https://github.com/pytorch/pytorch/actions/runs/1013240987 Reviewed By: walterddr Differential Revision: D29594080 Pulled By: samestep fbshipit-source-id: 02c531ebc42feae81ecaea0785915f95e0f53ed7
67 lines
2.3 KiB
Python
Executable File
67 lines
2.3 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Generates a matrix to be utilized through github actions
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Will output a matrix to represent our testing configurations, which is currently
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dictated by just sharding.
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"""
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import json
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import os
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from typing import Dict
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from typing_extensions import TypedDict
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class Config(TypedDict):
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num_shards: int
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runner: str
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def main() -> None:
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TEST_RUNNER_TYPE = os.getenv('TEST_RUNNER_TYPE')
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assert TEST_RUNNER_TYPE is not None
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NUM_TEST_SHARDS = int(os.getenv('NUM_TEST_SHARDS', '1'))
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MULTIGPU_RUNNER_TYPE = os.getenv('MULTIGPU_RUNNER_TYPE')
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NOGPU_RUNNER_TYPE = os.getenv('NOGPU_RUNNER_TYPE')
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configs: Dict[str, Config] = {}
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if os.getenv('ENABLE_JIT_LEGACY_TEST'):
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configs['jit_legacy'] = {'num_shards': 1, 'runner': TEST_RUNNER_TYPE}
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if MULTIGPU_RUNNER_TYPE is not None and os.getenv('ENABLE_MULTIGPU_TEST'):
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configs['multigpu'] = {'num_shards': 1, 'runner': MULTIGPU_RUNNER_TYPE}
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if NOGPU_RUNNER_TYPE is not None and os.getenv('ENABLE_NOGPU_NO_AVX_TEST'):
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configs['nogpu_NO_AVX'] = {'num_shards': 1, 'runner': NOGPU_RUNNER_TYPE}
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if NOGPU_RUNNER_TYPE is not None and os.getenv('ENABLE_NOGPU_NO_AVX2_TEST'):
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configs['nogpu_NO_AVX2'] = {'num_shards': 1, 'runner': NOGPU_RUNNER_TYPE}
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if os.getenv('ENABLE_SLOW_TEST'):
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configs['slow'] = {'num_shards': 1, 'runner': TEST_RUNNER_TYPE}
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matrix = {
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'include': [
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{
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'config': 'default',
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'shard': shard,
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'num_shards': NUM_TEST_SHARDS,
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'runner': TEST_RUNNER_TYPE,
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}
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for shard in range(1, NUM_TEST_SHARDS + 1)
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] + [
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{
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'config': name,
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'shard': shard,
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'num_shards': config['num_shards'],
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'runner': config['runner'],
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}
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for name, config in configs.items()
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for shard in range(1, config['num_shards'] + 1)
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]
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}
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render_matrix = {'config': list(dict.fromkeys(x['config'] for x in matrix['include']))}
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print(json.dumps({'matrix': matrix, 'render-matrix': render_matrix}, indent=2))
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print(f'::set-output name=matrix::{json.dumps(matrix)}')
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print(f'::set-output name=render-matrix::{json.dumps(render_matrix)}')
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if __name__ == "__main__":
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main()
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