|
123456789101112131415161718192021222324252627282930313233343536373839404142434445 |
- # 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.
- # ============================================================================
- """
- test assign sub
- """
- import numpy as np
-
- import mindspore.context as context
- import mindspore.nn as nn
- import mindspore.ops.operations as P
- from mindspore import Tensor
- from mindspore.common.initializer import initializer
- from mindspore.common.parameter import Parameter
-
- context.set_context(mode=context.GRAPH_MODE)
-
-
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.b = Parameter(initializer('ones', [5]), name='b')
- self.sub = P.AssignSub()
-
- def construct(self, value):
- return self.sub(self.b, value)
-
-
- def test_net():
- net = Net()
- input_data = Tensor(np.ones([5]).astype(np.float32))
- output = net(input_data)
- print(output.asnumpy().shape)
- print(output.asnumpy())
|