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
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import transformer_glow_layers_ops
  from tensor2tensor.models.transformer import transformer_decoder_layer
  from tensor2tensor.models.transformer import transformer_encoder
  from tensor2tensor.models.transformer import transformer_prepare_encoder
  from tensor2tensor.utils import learning_rate
  from tensor2tensor.utils import mlperf_log
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: _mixed_precision_is_enabled(hparams) and returns: unknown