class_docstr: Codec for Numpy.
docstr: Returns an encoded `TensorProto` for `np.ndarray`.
docstr_tok: ["Returns","an","encoded","`","TensorProto","`","for","`","np.ndarray","`","."]
code: def do_encode(self, numpy_value, encode_fn):
      """Returns an encoded `TensorProto` for `np.ndarray`."""
      del encode_fn
      encoded_numpy = struct_pb2.StructuredValue()
      encoded_numpy.numpy_value.CopyFrom(
          tensor_util.make_tensor_proto(numpy_value)
      )
      return encoded_numpy
  
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 2 for calling the _NumpyCodec obj's underlying member method code with example usage: obj.do_encode(numpy_value, encode_fn) and returns: encoded_numpy