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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # 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 numpy as np
-
- import mindspore as ms
- import mindspore.ops.operations as P
- from mindspore import context, Tensor
-
-
- def test_cast():
- """ tests cast for same dtype"""
- context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
- input_np = np.random.randn(2, 3, 4, 5).astype(np.float32)
- input_x = Tensor(input_np)
- type_dst = ms.float32
- cast = P.Cast()
- result = cast(input_x, type_dst)
- assert result.dtype == type_dst
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