From eaf10e9a279e270d8133a41cfc9690de10423a1d Mon Sep 17 00:00:00 2001
From: Lutz Roeder <lutzroeder@users.noreply.github.com>
Date: Sun, 14 Jun 2020 23:02:59 -0700
Subject: [PATCH] Fix Keras documentation

---
 tensorflow/python/keras/layers/core.py     | 8 ++++++--
 tensorflow/python/keras/layers/wrappers.py | 9 +++++----
 2 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/tensorflow/python/keras/layers/core.py b/tensorflow/python/keras/layers/core.py
index abfb025db30..e64a1c27bcf 100644
--- a/tensorflow/python/keras/layers/core.py
+++ b/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
diff --git a/tensorflow/python/keras/layers/wrappers.py b/tensorflow/python/keras/layers/wrappers.py
index 8fe3b3b20bb..23fef467cfe 100644
--- a/tensorflow/python/keras/layers/wrappers.py
+++ b/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.