wehub-resource-sync
109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
# 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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import os
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import unittest
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from legacy_test.parallel_dygraph_mnist import TestMnist
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from legacy_test.spawn_runner_base import TestDistSpawnRunner
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from legacy_test.test_dist_base import TestDistBase
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from paddle import base
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flag_name = os.path.splitext(__file__)[0]
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class TestParallelDygraphMnist(TestDistBase):
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def _setup_config(self):
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self._sync_mode = False
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self._nccl2_mode = True
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self._dygraph = True
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self._find_unused_parameters = True
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def test_mnist(self):
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if base.core.is_compiled_with_cuda():
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self.check_with_place(
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os.path.abspath("../../legacy_test/parallel_dygraph_mnist.py"),
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delta=1e-5,
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check_error_log=True,
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log_name=flag_name,
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)
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# TODO(liuyuhui): Multi-Card Baidu Kunlun XPU training exist accuracy problems
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# it is difficult to find out immediately where the problem is,
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# and we will work with frameworkers' help to fix it.
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class TestParallelDygraphMnistXPU(TestDistBase):
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def _setup_config(self):
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self._sync_mode = False
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self._bkcl_mode = True
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self._dygraph = True
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self._enforce_place = "XPU"
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def test_mnist_xpu(self):
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if base.core.is_compiled_with_xpu():
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self.check_with_place(
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os.path.abspath("../../legacy_test/parallel_dygraph_mnist.py"),
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delta=1e-4,
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check_error_log=True,
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log_name=flag_name,
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)
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class TestParallelDygraphMnistSpawn(TestDistSpawnRunner):
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def test_mnist_with_spawn(self):
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if base.core.is_compiled_with_cuda():
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self.check_dist_result_with_spawn(test_class=TestMnist, delta=1e-5)
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class TestParallelDygraphMnistAccGrad(TestDistBase):
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def _setup_config(self):
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self._sync_mode = False
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self._nccl2_mode = True
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self._dygraph = True
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self._use_fleet_api = True
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self._accumulate_gradient = True
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self._find_unused_parameters = False
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def test_mnist(self):
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if base.core.is_compiled_with_cuda():
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self.check_with_place(
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os.path.abspath("../../legacy_test/parallel_dygraph_mnist.py"),
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delta=1e-5,
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check_error_log=True,
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log_name=flag_name,
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)
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class TestFleetDygraphMnistXPU(TestDistBase):
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def _setup_config(self):
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self._sync_mode = False
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self._bkcl_mode = True
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self._dygraph = True
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self._enforce_place = "XPU"
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self._use_fleet_api = True
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def test_mnist(self):
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if base.core.is_compiled_with_xpu():
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self.check_with_place(
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os.path.abspath("../../legacy_test/parallel_dygraph_mnist.py"),
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delta=1e-4,
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check_error_log=True,
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log_name=flag_name,
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)
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if __name__ == "__main__":
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unittest.main()
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