Class InputFnOps
Defined in tensorflow/contrib/learn/python/learn/utils/input_fn_utils.py.
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.
__new__
__new__(
_cls,
features,
labels,
default_inputs
)
Create new instance of InputFnOps(features, labels, default_inputs)