wehub-resource-sync
60 lines
1.9 KiB
Python
60 lines
1.9 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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from semi_auto_parallel_util import SemiAutoParallelTestBase
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import paddle
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import paddle.distributed as dist
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class TestTransposeApiForSemiAutoParallel(SemiAutoParallelTestBase):
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def __init__(self):
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self._dtype = os.getenv("dtype")
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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 check_placements(self, output, expected_placements):
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assert output.placements == expected_placements, (
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f"{output.placements} vs {expected_placements}"
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)
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def test_transpose_shard(self):
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x_shape = ([10, 6, 8],)
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x_specs = ([None, 'x', None],)
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_, output = self.runfunc_and_check(
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x_shape,
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x_specs,
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op_func=paddle.transpose,
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with_backward=True,
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perm=[1, 2, -3],
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)
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self.check_placements(output, [dist.Shard(0)])
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def run_test_case(self):
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if self._backend == "cpu":
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paddle.set_device("cpu")
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elif self._backend == "gpu":
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paddle.set_device("gpu:" + str(dist.get_rank()))
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else:
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raise ValueError("Only support cpu or gpu backend.")
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self.test_transpose_shard()
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if __name__ == '__main__':
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TestTransposeApiForSemiAutoParallel().run_test_case()
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