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83 lines
2.6 KiB
83 lines
2.6 KiB
# Copyright (c) 2018 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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from __future__ import print_function
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import shutil
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import os
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import unittest
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from test_dist_base import TestDistBase
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import paddle
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paddle.enable_static()
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class TestDistMnistFleetSave(TestDistBase):
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def _setup_config(self):
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self._sync_mode = True
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self._use_reduce = False
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self._use_reader_alloc = False
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self._nccl2_mode = True
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self._use_fleet_api = True
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self._sharding_save = True
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self._enforce_place = "GPU"
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def _rm_temp_files(self, dirname):
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shutil.rmtree(dirname)
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def _test_saved_files(self, dirname):
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sharding_save_files = sorted(os.listdir(dirname))
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check_files = [
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'fc_0.b_0', 'fc_0.b_0_velocity_0', 'fc_0.w_0',
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'fc_0.w_0_velocity_0', 'fc_1.b_0', 'fc_1.b_0_velocity_0',
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'fc_1.w_0', 'fc_1.w_0_velocity_0', 'fc_2.b_0',
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'fc_2.b_0_velocity_0', 'fc_2.w_0', 'fc_2.w_0_velocity_0',
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'learning_rate_0'
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]
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if sharding_save_files != check_files:
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self._rm_temp_files(dirname)
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raise ValueError("Test Failed.")
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self._rm_temp_files(dirname)
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return True
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def check_with_place(self,
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model_file,
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delta=1e-3,
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check_error_log=True,
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need_envs={},
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log_name=""):
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required_envs = self._get_required_envs(check_error_log, need_envs)
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tr0_losses, tr1_losses = self._run_cluster_nccl2(
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model_file,
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required_envs,
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update_method='nccl2',
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check_error_log=check_error_log,
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log_name=log_name)
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dirname = './ut_sharding_save_model'
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self._test_saved_files(dirname)
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def test_dist_train(self):
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import paddle.fluid as fluid
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if fluid.core.is_compiled_with_cuda():
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self.check_with_place("dist_sharding_save.py", delta=1e-5)
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if __name__ == "__main__":
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unittest.main()
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