Type InputFnOps
Namespace tensorflow.contrib.learn
Parent PythonObjectContainer
Interfaces IInputFnOps
A return type for an input_fn (deprecated). THIS CLASS IS DEPRECATED. Please use tf.estimator.export.ServingInputReceiver
instead. This return type is currently only supported for serving input_fn.
Training and eval input_fn should return a `(features, labels)` tuple. The expected return values are:
features: A dict of string to `Tensor` or `SparseTensor`, specifying the
features to be passed to the model.
labels: A `Tensor`, `SparseTensor`, or a dict of string to `Tensor` or
`SparseTensor`, specifying labels for training or eval. For serving, set
`labels` to `None`.
default_inputs: a dict of string to `Tensor` or `SparseTensor`, specifying
the input placeholders (if any) that this input_fn expects to be fed.
Typically, this is used by a serving input_fn, which expects to be fed
serialized `tf.Example` protos.