1# Copyright 2020 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15""" 16test assign sub 17""" 18import numpy as np 19 20import mindspore.context as context 21import mindspore.nn as nn 22import mindspore.ops.operations as P 23from mindspore import Tensor 24from mindspore.common.initializer import initializer 25from mindspore.common.parameter import Parameter 26 27context.set_context(mode=context.GRAPH_MODE) 28 29 30class Net(nn.Cell): 31 def __init__(self): 32 super(Net, self).__init__() 33 self.b = Parameter(initializer('ones', [5]), name='b') 34 self.sub = P.AssignSub() 35 36 def construct(self, value): 37 return self.sub(self.b, value) 38 39 40def test_net(): 41 net = Net() 42 input_data = Tensor(np.ones([5]).astype(np.float32)) 43 output = net(input_data) 44 print(output.asnumpy().shape) 45 print(output.asnumpy()) 46