|TensorFlow 1 version||View source on GitHub|
A return type for a serving_input_receiver_fn.
Compat aliases for migration
See Migration guide for more details.
tf.estimator.export.TensorServingInputReceiver( features, receiver_tensors, receiver_tensors_alternatives=None )
This is for use with models that expect a single
as an input feature, as opposed to a dict of features.
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
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).