def _to_rgb(x): return layers.custom_conv2d(x=x, filters=colors, kernel_size=1, padding='SAME', activation=to_rgb_activation, scope='to_rgb')
def _conv2d(scope, x, kernel_size, filters, padding='SAME'): return layers.custom_conv2d(x=x, filters=filters, kernel_size=kernel_size, padding=padding, activation=tf.nn.leaky_relu, he_initializer_slope=0.0, scope=scope)
def _to_rgb(x): return layers.custom_conv2d( x=x, filters=colors, kernel_size=1, padding='SAME', activation=to_rgb_activation, scope='to_rgb')
def _conv2d(scope, x, kernel_size, filters, padding='SAME'): return layers.custom_conv2d( x=x, filters=filters, kernel_size=kernel_size, padding=padding, activation=tf.nn.leaky_relu, he_initializer_slope=0.0, scope=scope)