[sphinx] Fixed warnings

bob/learn/tensorflow/datashuffler/__init__.py

@@ -56,5 +56,7 @@ __appropriate__(
     ImageAugmentation,
     ScaleFactor, MeanOffset, Linear,
     DiskAudio,
+    TFRecord,
+    TFRecordImage
     )
 __all__ = [_ for _ in dir() if not _.startswith('_')]

bob/learn/tensorflow/network/InceptionResnetV1.py

@@ -154,18 +154,23 @@ def inception_resnet_v1(inputs, is_training=True,
                         bottleneck_layer_size=128,
                         reuse=None, 
                         scope='InceptionResnetV1'):
-    """Creates the Inception Resnet V1 model.
-    Args:
-      inputs: a 4-D tensor of size [batch_size, height, width, 3].
-      num_classes: number of predicted classes.
-      is_training: whether is training or not.
-      dropout_keep_prob: float, the fraction to keep before final layer.
-      reuse: whether or not the network and its variables should be reused. To be
-        able to reuse 'scope' must be given.
-      scope: Optional variable_scope.
-    Returns:
-      logits: the logits outputs of the model.
-      end_points: the set of end_points from the inception model.
+    """
+    Creates the Inception Resnet V1 model.
+
+    **Parameters**
+
+      inputs:
+         a 4-D tensor of size [batch_size, height, width, 3].
+      num_classes:
+         number of predicted classes.
+      is_training:
+         whether is training or not.
+      dropout_keep_prob:
+         the fraction to keep before final layer.
+      reuse:
+         whether or not the network and its variables should be reused. To be able to reuse 'scope' must be given.
+      scope:
+         Optional variable_scope.
     """
     end_points = {}