import tensorflow as tf

"""

SHAPE = 256
BATCH = 1
TEST_BATCH = 32
NF = 64  # channel size


def INReLU(x, name=None):
    x = InstanceNorm('inorm', x)
    return tf.nn.relu(x, name=name)


def INLReLU(x, name=None):
    x = InstanceNorm('inorm', x)
    return LeakyReLU(x, name=name)


class Model(GANModelDesc):
    def _get_inputs(self):
