class_docstr: Codec for Tensor.
docstr: Returns the `tf.Tensor` encoded by the proto `value`.
docstr_tok: ["Returns","the","`","tf.Tensor","`","encoded","by","the","proto","`","value","`","."]
code: def do_decode(self, value, decode_fn):
      """Returns the `tf.Tensor` encoded by the proto `value`."""
      del decode_fn
      tensor_proto = value.tensor_value
      tensor = constant(tensor_util.MakeNdarray(tensor_proto))
      return tensor
  
imports: from typing import Union
  import numpy
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import execute
  from tensorflow.python.framework import constant_tensor_conversion
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_conversion_registry
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.profiler import trace
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling the _ConstantTensorCodec obj's underlying member method code with example usage: obj.do_decode(value, decode_fn) and returns: tensor