code: def convert_to_mixed_eager_tensors(values, ctx):
      del ctx  # Unused
      v = [tensor_conversion_registry.convert(t) for t in values]
      types = [
          t._datatype_enum() for t in v
      ]  # pylint: disable=protected-access
      return types, v
  
imports: from google.protobuf import text_format
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.python import pywrap_tfe
  from tensorflow.python.eager import core
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_conversion_registry
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.types import core
  from tensorflow.python.util import compat
label_desc: Use image node_id 14 for calling a global function with example usage: convert_to_mixed_eager_tensors(values, ctx) and returns: types,  v