code: def _mixed_precision_is_enabled(hparams):
      """Should be the same as in common_attention, avoiding import."""
      activation_dtype = hparams.activation_dtype
      weight_dtype = hparams.weight_dtype
      return (
          activation_dtype == tf.float16 and weight_dtype == tf.float32
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import adafactor
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import misc_utils
  from tensor2tensor.utils import mlperf_log
  from tensor2tensor.utils import multistep_optimizer
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import yellowfin
  import tensorflow.compat.v1
  from tensorflow.python.framework import dtypes
label_desc: Use image node_id 1 for calling a global function with example usage: _mixed_precision_is_enabled(hparams) and returns: unknown