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Adding visibility of StyleGAN architecture for another project. #628

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Adding visibility of StyleGAN architecture for another project. #628

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4 changes: 3 additions & 1 deletion tensorflow_graphics/projects/gan/architectures_style_gan_v2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -242,6 +242,7 @@ def create_discriminator(
kernel_initializer: Optional[_KerasInitializer] = None,
use_fan_in_scaled_kernels: bool = True,
use_antialiased_bilinear_downsampling: bool = False,
num_channels: int = 3,
name: str = 'style_gan_v2_discriminator'):
"""Creates a Keras model for the discriminator architecture.

Expand All @@ -262,6 +263,7 @@ def create_discriminator(
ani-aliased bilinear downsampling with a [1, 3, 3, 1] tent kernel. If
false standard bilinear downsampling, i.e. average pooling is used ([1, 1]
tent kernel).
num_channels: The number of channels of the input tensor.
name: The name of the Keras model.

Returns:
Expand All @@ -271,7 +273,7 @@ def create_discriminator(
kernel_initializer = tf.keras.initializers.TruncatedNormal(
mean=0.0, stddev=1.0)

input_tensor = tf.keras.Input(shape=(None, None, 3))
input_tensor = tf.keras.Input(shape=(None, None, num_channels))
tensor = architectures_progressive_gan.from_rgb(
input_tensor=input_tensor,
use_fan_in_scaled_kernel=use_fan_in_scaled_kernels,
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