Merge pull request #22126 from ConcurrencyPractitioner:master

PiperOrigin-RevId: 215431884

1 files changed, 6 insertions, 4 deletions

diff --git a/tensorflow/python/keras/layers/embeddings.py b/tensorflow/python/keras/layers/embeddings.py
index c6df5f2e26..824a0b069e 100644
--- a/tensorflow/python/keras/layers/embeddings.py
+++ b/tensorflow/python/keras/layers/embeddings.py
@@ -159,13 +159,15 @@ class Embedding(Layer):
       else:
         in_lens = [self.input_length]
       if len(in_lens) != len(input_shape) - 1:
-        ValueError('"input_length" is %s, but received input has shape %s' %
-                   (str(self.input_length), str(input_shape)))
+        raise ValueError('"input_length" is %s, '
+                         'but received input has shape %s' % (str(
+                             self.input_length), str(input_shape)))
       else:
         for i, (s1, s2) in enumerate(zip(in_lens, input_shape[1:])):
           if s1 is not None and s2 is not None and s1 != s2:
-            ValueError('"input_length" is %s, but received input has shape %s' %
-                       (str(self.input_length), str(input_shape)))
+            raise ValueError('"input_length" is %s, '
+                             'but received input has shape %s' % (str(
+                                 self.input_length), str(input_shape)))
           elif s1 is None:
             in_lens[i] = s2
       return (input_shape[0],) + tuple(in_lens) + (self.output_dim,)