mirror of
https://github.com/zebrajr/pytorch.git
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a52de0dfec
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61472 Signed-off-by: Eli Uriegas <eliuriegas@fb.com> Test Plan: Imported from OSS Reviewed By: walterddr Differential Revision: D29642893 Pulled By: seemethere fbshipit-source-id: 2dd2b295c71d79593ad7f71d6160de4042c08b80
70 lines
2.4 KiB
Python
Executable File
70 lines
2.4 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:
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if 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 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_FORCE_ON_CPU_TEST'):
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configs['force_on_cpu'] = {'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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