import tensorflow as tf

    

def resnet_block(x, block_name='ResBlock', channel_nr=64, scale = 1, pad='SAME'):
    tmp = conv3d(x, kernel_size=3, filters=channel_nr, padding=pad, activation=None, use_bias=False, initialization=None)
    tmp = tf.keras.layers.LeakyReLU(alpha=0.2)(tmp)

    tmp = conv3d(tmp, kernel_size=3, filters=channel_nr, padding=pad, activation=None, use_bias=False, initialization=None)

