A return type for a serving_input_receiver_fn.
The expected return values are:
SparseTensor, or dict of string to
SparseTensor, specifying the features to be passed to the model.
Tensor, or a dict of string to
input nodes where this receiver expects to be fed by default. Typically,
this is a single placeholder expecting serialized
receiver_tensors_alternatives: a dict of string to additional
groups of receiver tensors, each of which may be a
Tensor or a dict of
Tensor. These named receiver tensor alternatives generate
additional serving signatures, which may be used to feed inputs at
different points within the input receiver subgraph. A typical usage is
to allow feeding raw feature
Tensors downstream of the
tf.parse_example() op. Defaults to None.
Alias for field number 0
Alias for field number 1
Alias for field number 2
@staticmethod __new__( cls, features, receiver_tensors, receiver_tensors_alternatives=None )
Create new instance of ServingInputReceiver(features, receiver_tensors, receiver_tensors_alternatives)