forked from mindspore-Ecosystem/mindspore
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
# Copyright 2019 Huawei Technologies Co., Ltd
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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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from hccl_test.manage.api import Hccl
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from mindspore import Tensor
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from mindspore.parallel._tensor import _load_tensor
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def test_load_tensor():
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hccl = Hccl()
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tensor = Tensor([[1, 2, 3], [4, 5, 6]])
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dev_mat = [2, 3]
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tensor_map = [1, -1]
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hccl.rank_id = 5
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tensor_slice = _load_tensor(tensor, dev_mat, tensor_map)
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expected_tensor = Tensor([[4, 5, 6]])
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if expected_tensor.__str__() != tensor_slice.__str__():
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raise AssertionError
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hccl.rank_id = 2
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tensor_slice = _load_tensor(tensor, dev_mat, tensor_map)
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expected_tensor = Tensor([[1, 2, 3]])
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if expected_tensor.__str__() != tensor_slice.__str__():
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raise AssertionError
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# set back to the defalt value
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hccl.rank_id = 0
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if __name__ == '__main__':
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test_load_tensor()
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