Merge pull request #40464 from lutzroeder:master

PiperOrigin-RevId: 317328682
Change-Id: If545e48979d2d7be8974d531675b44a7c74b58bd

tensorflow/python/keras/layers/core.py

@@ -825,10 +825,14 @@ class Lambda(Layer):
       returned as output mask regardless of what the input is.
     arguments: Optional dictionary of keyword arguments to be passed to the
       function.
-  Input shape: Arbitrary. Use the keyword argument input_shape (tuple of
+
+  Input shape:
+    Arbitrary. Use the keyword argument input_shape (tuple of
     integers, does not include the samples axis) when using this layer as the
     first layer in a model.
-  Output shape: Specified by `output_shape` argument
+
+  Output shape:
+    Specified by `output_shape` argument
   """
 
   @trackable.no_automatic_dependency_tracking

tensorflow/python/keras/layers/wrappers.py

@@ -341,10 +341,11 @@ class Bidirectional(Wrapper):
       combined. One of {'sum', 'mul', 'concat', 'ave', None}. If None, the
       outputs will not be combined, they will be returned as a list. Default
       value is 'concat'.
-    backward_layer: Optional `keras.layers.RNN`, or keras.layers.Layer` instance
-      to be used to handle backwards input processing. If `backward_layer` is
-      not provided, the layer instance passed as the `layer` argument will be
-      used to generate the backward layer automatically.
+    backward_layer: Optional `keras.layers.RNN`, or `keras.layers.Layer`
+      instance to be used to handle backwards input processing.
+      If `backward_layer` is not provided, the layer instance passed as the
+      `layer` argument will be used to generate the backward layer
+      automatically.
       Note that the provided `backward_layer` layer should have properties
       matching those of the `layer` argument, in particular it should have the
       same values for `stateful`, `return_states`, `return_sequence`, etc.