tf.contrib.learn.InputFnOps
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A return type for an input_fn (deprecated).
tf.contrib.learn.InputFnOps(
features, labels, default_inputs
)
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.
Attributes |
|---|
features
|
|
labels
|
|
default_inputs
|
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.learn.InputFnOps\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/learn/python/learn/utils/input_fn_utils.py#L42-L64) |\n\nA return type for an input_fn (deprecated). \n\n tf.contrib.learn.InputFnOps(\n features, labels, default_inputs\n )\n\nTHIS CLASS IS DEPRECATED. Please use tf.estimator.export.ServingInputReceiver\ninstead.\n\nThis return type is currently only supported for serving input_fn.\nTraining and eval input_fn should return a `(features, labels)` tuple.\n\nThe expected return values are:\nfeatures: A dict of string to `Tensor` or `SparseTensor`, specifying the\nfeatures to be passed to the model.\nlabels: A `Tensor`, `SparseTensor`, or a dict of string to `Tensor` or\n`SparseTensor`, specifying labels for training or eval. For serving, set\n`labels` to `None`.\ndefault_inputs: a dict of string to `Tensor` or `SparseTensor`, specifying\nthe input placeholders (if any) that this input_fn expects to be fed.\nTypically, this is used by a serving input_fn, which expects to be fed\nserialized `tf.Example` protos.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|------------------|---------------|\n| `features` | \u003cbr /\u003e \u003cbr /\u003e |\n| `labels` | \u003cbr /\u003e \u003cbr /\u003e |\n| `default_inputs` | \u003cbr /\u003e \u003cbr /\u003e |\n\n\u003cbr /\u003e"]]
View source on GitHub