wehub-resource-sync
52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
# Copyright (c) 2024 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 paddle
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import paddle.distributed as dist
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class TestBackwardAutoParallel:
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def init_data(self):
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self.mesh = dist.ProcessMesh([0], dim_names=['d0'])
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self.x = paddle.to_tensor([[1]])
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self.y = paddle.to_tensor([[1]])
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self.z = paddle.to_tensor([[1]])
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self.x.stop_gradient = False
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self.y.stop_gradient = False
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self.z.stop_gradient = False
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self.z = dist.shard_tensor(self.z, self.mesh, [dist.Replicate()])
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def run_test_case1(self):
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self.init_data()
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o = self.x * self.y
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o = o + self.z
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o = o.sum()
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o.backward()
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def run_test_case2(self):
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self.init_data()
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o = self.x + self.y
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o = o - self.z
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o = o.sum()
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o.backward()
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# python -m paddle.distributed.launch --device=0 auto_parallel_backward.py
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if __name__ == '__main__':
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TestBackwardAutoParallel().run_test_case1()
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TestBackwardAutoParallel().run_test_case2()
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