a3e847b610a9ac39a719033393801a0c7af51eb2,official/vision/keras_cv/layers/deeplab.py,SpatialPyramidPooling,build,#SpatialPyramidPooling#Any#,65

Before Change

              padding="same", kernel_regularizer=self.kernel_regularizer,
              kernel_initializer=self.kernel_initializer,
              dilation_rate=dilation_rate, use_bias=False),
          tf.keras.layers.BatchNormalization(momentum=self.batchnorm_momentum),
          tf.keras.layers.Activation("relu")])
      self.aspp_layers.append(conv_sequential)

After Change

    else:
      bn_op = tf.keras.layers.BatchNormalization

    if tf.keras.backend.image_data_format() == "channels_last":
      bn_axis = -1
    else:
      bn_axis = 1

    conv_sequential = tf.keras.Sequential([
        tf.keras.layers.Conv2D(
            filters=self.output_channels, kernel_size=(1, 1),
            kernel_initializer=self.kernel_initializer,

Instances