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""" test Add """ 16import numpy as np 17 18import mindspore.nn as nn 19from mindspore import Tensor 20from mindspore.ops import operations as P 21 22 23class Net(nn.Cell): 24 def __init__(self): 25 super(Net, self).__init__() 26 self.add = P.Add() 27 28 def construct(self, input1, input2): 29 return self.add(input1, input2) 30 31 32def test_tensor_add(): 33 """test_tensor_add""" 34 add = P.Add() 35 input1 = Tensor(np.random.rand(1, 3, 4, 4).astype(np.float32)) 36 input2 = Tensor(np.random.rand(1, 3, 4, 4).astype(np.float32)) 37 output = add(input1, input2) 38 output_np = output.asnumpy() 39 input1_np = input1.asnumpy() 40 input2_np = input2.asnumpy() 41 print(input1_np[0][0][0][0]) 42 print(input2_np[0][0][0][0]) 43 print(output_np[0][0][0][0]) 44 assert isinstance(output_np[0][0][0][0], np.float32) 45