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paddlepaddle--paddle/test/auto_parallel/semi_auto_parallel_dygraph_inplace.py
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2026-07-13 12:40:42 +08:00

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1.8 KiB
Python

# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
import paddle
import paddle.distributed as dist
class TestInplaceForSemiAutoParallel(unittest.TestCase):
def run_test_case(self):
mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
x_np = np.random.random(size=[64, 32]).astype(np.float32)
y_np = np.random.random(size=[32, 48]).astype(np.float32)
x = paddle.to_tensor(x_np)
y = paddle.to_tensor(y_np)
x.stop_gradient = False
y.stop_gradient = False
x_dist_attr = [dist.Shard(0)]
y_dist_attr = [dist.Replicate()]
dist_x = dist.shard_tensor(x_np, mesh, x_dist_attr)
dist_y = dist.shard_tensor(y_np, mesh, y_dist_attr)
dist_x.stop_gradient = False
dist_y.stop_gradient = False
dist_x = dist_x.add(dist_x)
dist_y = dist_y.add(dist_y)
dist_out = paddle.matmul(
dist_x, dist_y, transpose_x=False, transpose_y=False
)
dist_x.add_(dist_x)
dist_y.add_(dist_y)
with self.assertRaisesRegex(
RuntimeError,
"received tensor_version:1 != wrapper_version_snapshot:0",
):
dist_out.backward()
if __name__ == '__main__':
TestInplaceForSemiAutoParallel().run_test_case()