wehub-resource-sync
109 lines
3.8 KiB
Python
109 lines
3.8 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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 multiprocessing
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import os
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import unittest
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from op_test import get_device, is_custom_device
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import paddle
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import paddle.distributed as dist
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from paddle.base import core
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from paddle.distributed.spawn import (
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_get_default_nprocs,
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_get_subprocess_env_list,
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_options_valid_check,
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)
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# NOTE(chenweihang): Coverage CI is currently not able to count python3
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# unittest, so the unittests here covers some cases that will only be
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# executed in the python3 sub-process.
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device()),
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"core is not compiled with CUDA",
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)
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class TestInitParallelEnv(unittest.TestCase):
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def test_check_env_failed(self):
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os.environ['FLAGS_selected_gpus'] = '0'
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os.environ['PADDLE_TRAINER_ID'] = '0'
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# os.environ['PADDLE_CURRENT_ENDPOINT'] = '127.0.0.1:6170'
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os.environ['PADDLE_TRAINERS_NUM'] = '2'
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with self.assertRaises(ValueError):
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dist.init_parallel_env()
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def test_init_parallel_env_break(self):
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from paddle.distributed import parallel_helper
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os.environ['FLAGS_selected_gpus'] = '0'
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os.environ['PADDLE_TRAINER_ID'] = '0'
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os.environ['PADDLE_CURRENT_ENDPOINT'] = '127.0.0.1:6170'
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os.environ['PADDLE_TRAINERS_NUM'] = '1'
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os.environ['PADDLE_TRAINER_ENDPOINTS'] = '127.0.0.1:6170'
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# coverage success branch
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dist.init_parallel_env()
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self.assertFalse(parallel_helper._is_parallel_ctx_initialized())
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device()),
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"core is not compiled with CUDA",
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)
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class TestSpawnAssistMethod(unittest.TestCase):
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def test_nprocs_greater_than_device_num_error(self):
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with self.assertRaises(RuntimeError):
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_get_subprocess_env_list(nprocs=100, options={})
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def test_selected_devices_error(self):
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with self.assertRaises(ValueError):
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options = {}
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options['selected_devices'] = "100,101"
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_get_subprocess_env_list(nprocs=2, options=options)
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def test_get_correct_env(self):
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options = {}
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options['print_config'] = True
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env_dict = _get_subprocess_env_list(nprocs=1, options=options)[0]
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self.assertEqual(env_dict['PADDLE_TRAINER_ID'], '0')
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self.assertEqual(env_dict['PADDLE_TRAINERS_NUM'], '1')
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def test_nprocs_not_equal_to_selected_devices(self):
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with self.assertRaises(ValueError):
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options = {}
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options['selected_devices'] = "100,101,102"
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_get_subprocess_env_list(nprocs=2, options=options)
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def test_options_valid_check(self):
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options = {}
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options['selected_devices'] = "100,101,102"
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_options_valid_check(options)
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with self.assertRaises(ValueError):
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options['error'] = "error"
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_options_valid_check(options)
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def test_get_default_nprocs(self):
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paddle.set_device('cpu')
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nprocs = _get_default_nprocs()
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self.assertEqual(nprocs, multiprocessing.cpu_count())
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paddle.set_device(get_device())
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nprocs = _get_default_nprocs()
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self.assertEqual(nprocs, core.get_cuda_device_count())
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if __name__ == "__main__":
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unittest.main()
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