wehub-resource-sync
50 lines
1.6 KiB
Python
50 lines
1.6 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 os
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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 TestSemiAutoParallelSetValue:
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def __init__(self):
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self._backend = os.getenv("backend")
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self._seed = eval(os.getenv("seed"))
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self._mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
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def test_set_value_from_numpy(self):
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p = paddle.rand(shape=[10, 10])
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p = dist.shard_tensor(p, self._mesh, [dist.Shard(0)])
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q = np.arange(0, 100).reshape(10, 10).astype("float32")
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p.set_value(q)
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np.testing.assert_equal(p.numpy(), q)
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def test_set_value_from_tensor(self):
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p = paddle.rand(shape=[10, 10])
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p = dist.shard_tensor(p, self._mesh, [dist.Shard(0)])
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q = paddle.arange(0, 100, dtype="float32").reshape(shape=[10, 10])
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p.set_value(q)
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np.testing.assert_equal(p.numpy(), q.numpy())
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def run_test_case(self):
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self.test_set_value_from_tensor()
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self.test_set_value_from_numpy()
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if __name__ == '__main__':
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TestSemiAutoParallelSetValue().run_test_case()
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