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