code: def fp16_variable_getter(
      getter,
      name,
      shape=None,
      dtype=None,
      initializer=None,
      regularizer=None,
      trainable=True,
      *args,
      **kwargs,
  ):
      return getter(
          name,
          shape,
          dtype=tf.float16
          if dtype in [tf.float16, tf.float32]
          else dtype,
          initializer=initializer,
          regularizer=regularizer,
          trainable=trainable,
          *args,
          **kwargs,
      )
  
file_path: finetune/finetune/model.py
imports: import logging
  import numpy
  import tensorflow
  from finetune.nn.target_blocks import language_model, masked_language_model
  from finetune.util.text_generation import sample_with_temperature
  from finetune.util.optimize_loss import optimize_loss
  from finetune.util.imbalance import class_weight_tensor
  from finetune.errors import FinetuneError
  from finetune.base_models import GPTModel, GPTModelSmall
label_desc: Use image node_id 3 for calling a global function with example usage: fp16_variable_getter(getter, name, shape, dtype, initializer, regularizer, trainable) and returns: getter