message: Improve docs for make_tensor_proto
diff: @@ -361,12 +361,14 @@ def make_tensor_proto(values, dtype=None, shape=None, verify_shape=False,
  common workflow. That said, this utility function is still useful for
  generating TF Serving request protos:
  + ```python
  request = tensorflow_serving.apis.predict_pb2.PredictRequest()
  request.model_spec.name = "my_model"
  request.model_spec.signature_name = "serving_default"
  request.inputs["images"].CopyFrom(tf.make_tensor_proto(X_new))
  + ```
  - make_tensor_proto accepts "values" of a python scalar, a python list, a
  + `make_tensor_proto` accepts "values" of a python scalar, a python list, a
  numpy ndarray, or a numpy scalar.
  If "values" is a python scalar or a python list, make_tensor_proto
  @@ -376,9 +378,9 @@ def make_tensor_proto(values, dtype=None, shape=None, verify_shape=False,
  type with the given dtype.
  In either case above, the numpy ndarray (either the caller provided
  - or the auto converted) must have the compatible type with dtype.
  + or the auto-converted) must have the compatible type with dtype.
  - make_tensor_proto then converts the numpy array to a tensor proto.
  + `make_tensor_proto` then converts the numpy array to a tensor proto.
  If "shape" is None, the resulting tensor proto represents the numpy
  array precisely.
  