text: # Copyright 2019 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
  import mindspore.nn as nn
  from mindspore.common.api import ms_function
  from mindspore.common.initializer import initializer
  from mindspore.common.parameter import Parameter
  from mindspore.ops import operations as P
  
  context.set_context(device_target="Ascend")
  
  
  class Net(nn.Cell):
      def __init__(self):
          super(Net, self).__init__()
  
          self.maxpool = P.MaxPoolWithArgmax(pad_mode="same",
                                             kernel_size=3,
                                             strides=2)
          self.x = Parameter(initializer(
              'normal', [1, 64, 112, 112]), name='w')
          self.add = P.Add()
  
      @ms_function
      def construct(self):
          output = self.maxpool(self.x)
          return output[0]
  
  
  def test_net():
      maxpool = Net()
      output = maxpool()
      print("***********output output*********")
      print(output.asnumpy())
  