def block(x):
x = Conv2D(filters * 4,
kernel_size=3,
padding='same',
kernel_initializer=_kern_init)(x)
x = LeakyReLU(0.1)(x)
x = PixelShuffler()(x)
return x
def block(x):
x = Conv2D(filters*4, kernel_size=3, use_bias=False,
kernel_initializer=_kern_init, padding='same', **kwargs)(x)
if use_instance_norm:
x = inst_norm()(x)
x = LeakyReLU(0.1)(x)
x = PixelShuffler()(x)
return x
def block(x):
x = Conv2D(filters * 4,
kernel_size=3,
use_bias=False,
kernel_initializer=RandomNormal(0, 0.02),
padding='same')(x)
x = LeakyReLU(0.1)(x)
x = PixelShuffler()(x)
return x
def block(x):
x = Conv2D(filters * 4,
kernel_size=3,
dilation_rate=dilation_rate,
use_bias=True,
kernel_initializer=RandomNormal(0, 0.02),
padding='same')(x)
x = InstanceNormalization()(x)
x = LeakyReLU(0.1)(x)
x = PixelShuffler()(x)
return x
def block(x):
x = SeparableConv2D(filters * 4, kernel_size=3, padding='same')(x)
x = LeakyReLU(0.1)(x)
x = PixelShuffler()(x)
return x
