1# Copyright 2019 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# ============================================================================ 15import mindspore.context as context 16import mindspore.nn as nn 17from mindspore.common.api import ms_function 18from mindspore.common.initializer import initializer 19from mindspore.common.parameter import Parameter 20from mindspore.ops import operations as P 21 22context.set_context(device_target="Ascend") 23 24 25class Net(nn.Cell): 26 def __init__(self): 27 super(Net, self).__init__() 28 29 self.maxpool = P.MaxPoolWithArgmax(pad_mode="same", 30 kernel_size=3, 31 strides=2) 32 self.x = Parameter(initializer( 33 'normal', [1, 64, 112, 112]), name='w') 34 self.add = P.Add() 35 36 @ms_function 37 def construct(self): 38 output = self.maxpool(self.x) 39 return output[0] 40 41 42def test_net(): 43 maxpool = Net() 44 output = maxpool() 45 print("***********output output*********") 46 print(output.asnumpy()) 47