wehub-resource-sync
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# Copyright (c) 2021 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 unittest
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from legacy_test.test_parallel_dygraph_dataparallel import (
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TestMultipleAccelerators,
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)
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from paddle.framework import core
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class TestHybridParallel(TestMultipleAccelerators):
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def test_hybrid_parallel_mp_random(self):
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self.run_mnist_2accelerators('hybrid_parallel_mp_random.py')
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def test_hybrid_parallel_mp_model_with_sequence_parallel(self):
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self.run_mnist_2accelerators(
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'hybrid_parallel_mp_model_with_sequence_parallel.py'
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)
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def test_hybrid_parallel_mp_amp(self):
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self.run_mnist_2accelerators('hybrid_parallel_mp_amp.py')
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def test_hybrid_parallel_mp_fp16(self):
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self.run_mnist_2accelerators('hybrid_parallel_mp_fp16.py')
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def test_hybrid_parallel_mp_bf16(self):
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# XPU will use its own fast_paddle lib for bf16 training, therefore skip ordinary ut here.
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if not core.is_compiled_with_xpu():
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self.run_mnist_2accelerators('hybrid_parallel_mp_bf16.py')
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def test_hybrid_parallel_mp_clip_grad(self):
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self.run_mnist_2accelerators('hybrid_parallel_mp_clip_grad.py')
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def test_hybrid_parallel_mp_broadcast_obj(self):
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self.run_mnist_2accelerators('hybrid_parallel_mp_broadcast_obj.py')
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if __name__ == "__main__":
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unittest.main()
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