58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
# Copyright (c) 2023 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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import numpy as np
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import paddle
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import paddle.distributed as dist
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class TestInplaceForSemiAutoParallel(unittest.TestCase):
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def run_test_case(self):
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mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
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x_np = np.random.random(size=[64, 32]).astype(np.float32)
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y_np = np.random.random(size=[32, 48]).astype(np.float32)
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x = paddle.to_tensor(x_np)
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y = paddle.to_tensor(y_np)
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x.stop_gradient = False
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y.stop_gradient = False
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x_dist_attr = [dist.Shard(0)]
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y_dist_attr = [dist.Replicate()]
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dist_x = dist.shard_tensor(x_np, mesh, x_dist_attr)
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dist_y = dist.shard_tensor(y_np, mesh, y_dist_attr)
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dist_x.stop_gradient = False
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dist_y.stop_gradient = False
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dist_x = dist_x.add(dist_x)
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dist_y = dist_y.add(dist_y)
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dist_out = paddle.matmul(
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dist_x, dist_y, transpose_x=False, transpose_y=False
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)
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dist_x.add_(dist_x)
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dist_y.add_(dist_y)
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with self.assertRaisesRegex(
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RuntimeError,
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"received tensor_version:1 != wrapper_version_snapshot:0",
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):
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dist_out.backward()
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if __name__ == '__main__':
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TestInplaceForSemiAutoParallel().run_test_case()
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