1 files changed, 110 insertions, 1 deletions
diff --git a/tensorflow/g3doc/api_docs/python/contrib.learn.md b/tensorflow/g3doc/api_docs/python/contrib.learn.md
index d90b6b1a53..13f2f8c9d4 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.learn.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.learn.md
@@ -5360,6 +5360,90 @@ Export utilities
 
 - - -
 
+### `class tf.contrib.learn.InputFnOps` {#InputFnOps}
+
+A return type for an input_fn.
+
+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.
+- - -
+
+#### `tf.contrib.learn.InputFnOps.__getnewargs__()` {#InputFnOps.__getnewargs__}
+
+Return self as a plain tuple.  Used by copy and pickle.
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.__getstate__()` {#InputFnOps.__getstate__}
+
+Exclude the OrderedDict from pickling
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.__new__(_cls, features, labels, default_inputs)` {#InputFnOps.__new__}
+
+Create new instance of InputFnOps(features, labels, default_inputs)
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.__repr__()` {#InputFnOps.__repr__}
+
+Return a nicely formatted representation string
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.default_inputs` {#InputFnOps.default_inputs}
+
+Alias for field number 2
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.features` {#InputFnOps.features}
+
+Alias for field number 0
+
+
+- - -
+
+#### `tf.contrib.learn.InputFnOps.labels` {#InputFnOps.labels}
+
+Alias for field number 1
+
+
+
+- - -
+
+### `class tf.contrib.learn.ProblemType` {#ProblemType}
+
+Enum-like values for the type of problem that the model solves.
+
+These values are used when exporting the model to produce the appropriate
+signature function for serving.
+
+The following values are supported:
+  UNSPECIFIED: Produces a predict signature_fn.
+  CLASSIFICATION: Produces a classify signature_fn.
+  LINEAR_REGRESSION: Produces a regression signature_fn.
+  LOGISTIC_REGRESSION: Produces a classify signature_fn.
+
+- - -
+
 ### `tf.contrib.learn.build_parsing_serving_input_fn(feature_spec, default_batch_size=None)` {#build_parsing_serving_input_fn}
 
 Build an input_fn appropriate for serving, expecting fed tf.Examples.
@@ -5383,8 +5467,33 @@ for use at serving time, so the labels return value is always None.
 
 - - -
 
-### `class tf.contrib.learn.ProblemType` {#ProblemType}
+### `tf.contrib.learn.make_export_strategy(serving_input_fn, default_output_alternative_key=None, assets_extra=None, as_text=False, exports_to_keep=5)` {#make_export_strategy}
+
+Create an ExportStrategy for use with Experiment.
+
+##### Args:
+
+
+*  <b>`serving_input_fn`</b>: A function that takes no arguments and returns an
+    `InputFnOps`.
+*  <b>`default_output_alternative_key`</b>: the name of the head to serve when an
+    incoming serving request does not explicitly request a specific head.
+    Not needed for single-headed models.
+*  <b>`assets_extra`</b>: A dict specifying how to populate the assets.extra directory
+    within the exported SavedModel.  Each key should give the destination
+    path (including the filename) relative to the assets.extra directory.
+    The corresponding value gives the full path of the source file to be
+    copied.  For example, the simple case of copying a single file without
+    renaming it is specified as
+    `{'my_asset_file.txt': '/path/to/my_asset_file.txt'}`.
+*  <b>`as_text`</b>: whether to write the SavedModel proto in text format.
+*  <b>`exports_to_keep`</b>: Number of exports to keep.  Older exports will be
+    garbage-collected.  Defaults to 5.  Set to None to disable garbage
+    collection.
+
+##### Returns:
 
+  An ExportStrategy that can be passed to the Experiment constructor.