code: def _to_complex_with_gradient(
      value: tf.Tensor,
  ) -> Tuple[tf.Tensor, Callable[[tf.Tensor], tf.Tensor]]:
      return tf.bitcast(value, tf.complex64), lambda g: tf.bitcast(
          g, tf.float32
      )
  
imports: import functools
  from typing import Callable, List, Tuple
  import tensorflow
  import tensorflow_compression
  from tensorflow_model_optimization.python.core.common.keras.compression import algorithm
label_desc: Use image node_id 1 for calling a global function with example usage: _to_complex_with_gradient(value) and returns: tf,  function