A return type for a serving_input_receiver_fn.

This is for use with models that expect a single Tensor or SparseTensor as an input feature, as opposed to a dict of features.

The normal ServingInputReceiver always returns a feature dict, even if it contains only one entry, and so can be used only with models that accept such a dict. For models that accept only a single raw feature, the serving_input_receiver_fn provided to Estimator.export_saved_model() should return this TensorServingInputReceiver instead. See:

Note that the receiver_tensors and receiver_tensor_alternatives arguments will be automatically converted to the dict representation in either case, because the SavedModel format requires each input Tensor to have a name (provided by the dict key).

features A single Tensor or SparseTensor, representing the feature to be passed to the model.
receiver_tensors A Tensor, SparseTensor, or dict of string to