code: def _create_noise_inputs(
      num_upsampling_blocks: int,
  ) -> List[tf.Tensor]:
      """Creates the noise input layers."""
      noise_dimensions = get_noise_dimensions(num_upsampling_blocks)
      noise_inputs = [
          tf.keras.Input(noise_dimension)
          for noise_dimension in noise_dimensions
      ]
      return noise_inputs
  
file_path: graphics/tensorflow_graphics/projects/gan/architectures_style_gan_v2.py
imports: import math
  from typing import Callable, List, Optional, Sequence, Tuple, Union
  import tensorflow
  from tensorflow_graphics.projects.gan import architectures_progressive_gan
  from tensorflow_graphics.projects.gan import architectures_style_gan
  from tensorflow_graphics.projects.gan import keras_layers
label_desc: Use image node_id 3 for calling a global function with example usage: _create_noise_inputs(num_upsampling_blocks) and returns: noise_inputs