code: def create_variable_for_generator(
      name, batch_size, tiled_dlatent, model_scale=18, tile_size=1
  ):
      if tiled_dlatent:
          low_dim_dlatent = tf.get_variable(
              "learnable_dlatents",
              shape=(batch_size, tile_size, 512),
              dtype="float32",
              initializer=tf.initializers.random_normal(),
          )
          return tf.tile(
              low_dim_dlatent, [1, model_scale // tile_size, 1]
          )
      else:
          return tf.get_variable(
              "learnable_dlatents",
              shape=(batch_size, model_scale, 512),
              dtype="float32",
              initializer=tf.initializers.random_normal(),
          )
  
file_path: insightface/reconstruction/ostec/core/generator_model.py
imports: import math
  import tensorflow
  import numpy
  import external.stylegan2.dnnlib.tflib
  from functools import partial
label_desc: Use image node_id 2 for calling a global function with example usage: create_variable_for_generator(name, batch_size, tiled_dlatent, model_scale, tile_size) and returns: tf, tf