code: def _is_convertible_to_dtype(dtype):
      try:
          dtypes.as_dtype(dtype)
          return True
      except TypeError:
          return False
  
imports: import contextlib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import base_layer_utils
  from tensorflow.python.keras.mixed_precision import device_compatibility_check
  from tensorflow.python.keras.mixed_precision import loss_scale
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training.experimental import mixed_precision_global_state
label_desc: Use image node_id 5 for calling a global function with example usage: _is_convertible_to_dtype(dtype) and returns: True, False