nn_skeleton.py 文件源码

def _pooling_layer(
      self, layer_name, inputs, size, stride, padding='SAME'):
    """Pooling layer operation constructor.

    Args:
      layer_name: layer name.
      inputs: input tensor
      size: kernel size.
      stride: stride
      padding: 'SAME' or 'VALID'. See tensorflow doc for detailed description.
    Returns:
      A pooling layer operation.
    """

    with tf.variable_scope(layer_name) as scope:
      out =  tf.nn.max_pool(inputs, 
                            ksize=[1, size, size, 1], 
                            strides=[1, stride, stride, 1],
                            padding=padding)
      activation_size = np.prod(out.get_shape().as_list()[1:])
      self.activation_counter.append((layer_name, activation_size))
      return out