def upsample3d(inputs, kernel_size, name='', data_format='channels_first', debug_print=debug_print_upsample): outputs = tf.identity(tf.contrib.keras.layers.UpSampling3D(kernel_size, data_format=data_format, name=name)(inputs), name=name+'/output') if debug_print: print_upsample_parameters('nn', inputs, outputs, kernel_size, name, data_format, 'same', kernel_size) return outputs
def upsample2d(inputs, kernel_size, name='', data_format='channels_first', debug_print=debug_print_upsample): outputs = tf.keras.layers.UpSampling2D(kernel_size, data_format=data_format, name=name)(inputs) if debug_print: print_upsample_parameters('nn', inputs, outputs, kernel_size, name, data_format, 'same', kernel_size) return outputs