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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 mindspore.context as context
- from mindspore import Tensor, ms_function
- from mindspore.common import dtype as mstype
-
-
- @ms_function
- def t1_while(x, y):
- y = y + 4
- while x < y:
- x = x + 1
- x = x + 3
- return x
-
-
- def test_net():
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- c1 = Tensor([2], mstype.int32)
- c2 = Tensor([14], mstype.int32)
- expect = Tensor([21], mstype.int32)
- ret = t1_while(c1, c2)
- assert ret == expect
-
-
- if __name__ == "__main__":
- test_net()
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