code: def _dequantize(q, params):
      """Dequantize q according to params."""
      if not params.quantize:
          return q
      return (
          tf.to_float(tf.bitcast(q, tf.int16))
          * params.quantization_scale
      )
  
imports: from collections import defaultdict
  import copy
  import math
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import hparam
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling a global function with example usage: _dequantize(q, params) and returns: unknown, q