57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from typing import Mapping
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from unittest import mock
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import pytest
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@pytest.mark.parametrize("env_vars", [{"RANK": "0"}, {"SLURM_PROCID": "0"}])
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def test_rank_zero_known_cluster_envs(env_vars: Mapping[str, str]):
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""" Test that SLURM environment variables are properly checked for rank_zero_only. """
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from pytorch_lightning.utilities.distributed import _get_rank, rank_zero_only
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rank_zero_only.rank = _get_rank()
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with mock.patch.dict(os.environ, env_vars):
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from pytorch_lightning.utilities.distributed import _get_rank, rank_zero_only
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rank_zero_only.rank = _get_rank()
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@rank_zero_only
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def foo(): # The return type is optional because on non-zero ranks it will not be called
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return 1
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x = foo()
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assert x == 1
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@pytest.mark.parametrize("rank_key,rank", [
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("RANK", "1"),
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("SLURM_PROCID", "2"),
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("LOCAL_RANK", "3"),
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])
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def test_rank_zero_none_set(rank_key, rank):
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""" Test that function is not called when rank environment variables are not global zero. """
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with mock.patch.dict(os.environ, {rank_key: rank}):
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from pytorch_lightning.utilities.distributed import _get_rank, rank_zero_only
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rank_zero_only.rank = _get_rank()
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@rank_zero_only
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def foo():
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return 1
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x = foo()
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assert x is None
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