Delete trailing whitespace in Python code

PiperOrigin-RevId: 177018504

3 files changed, 11 insertions, 11 deletions

diff --git a/tensorflow/contrib/framework/python/ops/accumulate_n_v2.py b/tensorflow/contrib/framework/python/ops/accumulate_n_v2.py
index a0667bd489..2375ee4f55 100644
--- a/tensorflow/contrib/framework/python/ops/accumulate_n_v2.py
+++ b/tensorflow/contrib/framework/python/ops/accumulate_n_v2.py
@@ -48,7 +48,7 @@ def accumulate_n_v2(inputs, shape=None, tensor_dtype=None, name=None):
   tf.accumulate_n_v2([a, b, a])  # [[7, 4], [6, 14]]
 
   # Explicitly pass shape and type
-  tf.accumulate_n_v2([a, b, a], shape=[2, 2], tensor_dtype=tf.int32)  
+  tf.accumulate_n_v2([a, b, a], shape=[2, 2], tensor_dtype=tf.int32)
                                                                    # [[7,  4],
                                                                    #  [6, 14]]
   ```
@@ -93,7 +93,7 @@ def accumulate_n_v2(inputs, shape=None, tensor_dtype=None, name=None):
   elif len(inputs) == 1 and name is not None:
     return array_ops.identity(inputs[0], name=name)
   elif context.in_eager_mode():
-    # TemporaryVariable not currently supported in eager mode; fall back 
+    # TemporaryVariable not currently supported in eager mode; fall back
     # onto AddN for now.
     # TODO(frreiss) remove this once the lifetime of eager variables gets
     # addressed
@@ -101,7 +101,7 @@ def accumulate_n_v2(inputs, shape=None, tensor_dtype=None, name=None):
   else:
     return gen_math_ops._accumulate_nv2(inputs, name=name, shape=shape)
 
-# The following code should eventually be merged into 
+# The following code should eventually be merged into
 # tensorflow/python/ops/math_grad.py
 @ops.RegisterGradient("AccumulateNV2")
 def _AddNGrad(op, grad):
diff --git a/tensorflow/contrib/framework/python/ops/accumulate_n_v2_eager_test.py b/tensorflow/contrib/framework/python/ops/accumulate_n_v2_eager_test.py
index c2229bb8ad..8f44698da8 100644
--- a/tensorflow/contrib/framework/python/ops/accumulate_n_v2_eager_test.py
+++ b/tensorflow/contrib/framework/python/ops/accumulate_n_v2_eager_test.py
@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for new version of accumulate_n op that will eventually go into 
+"""Tests for new version of accumulate_n op that will eventually go into
 `ops.math_ops`.
 
-These test cases spefically exercise the `eager` APIs. They need to be in a 
+These test cases spefically exercise the `eager` APIs. They need to be in a
 separate file from the remaining tests because eager mode is currently something
 you can turn on but can't turn off for the lifetime of the current process."""
 from __future__ import absolute_import
@@ -64,7 +64,7 @@ class AccumulateNV2EagerTest(test_util.TensorFlowTestCase):
     np.random.seed(42)
     num_inputs = 3
     input_vars = [
-        resource_variable_ops.ResourceVariable(10.0 * np.random.random(), 
+        resource_variable_ops.ResourceVariable(10.0 * np.random.random(),
                                                name="t%d" % i)
         for i in range(0, num_inputs)
     ]
@@ -72,7 +72,7 @@ class AccumulateNV2EagerTest(test_util.TensorFlowTestCase):
     def fn(first, second, third):
       return av2.accumulate_n_v2([first, second, third])
 
-    grad_fn = backprop.gradients_function(fn)      
+    grad_fn = backprop.gradients_function(fn)
     grad = grad_fn(input_vars[0], input_vars[1], input_vars[2])
     self.assertAllEqual(np.repeat(1.0, num_inputs), # d/dx (x + y + ...) = 1
                         [elem.numpy() for elem in grad])
diff --git a/tensorflow/contrib/framework/python/ops/accumulate_n_v2_test.py b/tensorflow/contrib/framework/python/ops/accumulate_n_v2_test.py
index 3386e849d5..b5e9f8df79 100644
--- a/tensorflow/contrib/framework/python/ops/accumulate_n_v2_test.py
+++ b/tensorflow/contrib/framework/python/ops/accumulate_n_v2_test.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for new version of accumulate_n op that will eventually go into 
+"""Tests for new version of accumulate_n op that will eventually go into
 `ops.math_ops`."""
 from __future__ import absolute_import
 from __future__ import division
@@ -102,21 +102,21 @@ class AccumulateNV2Test(test_util.TensorFlowTestCase):
       with self.assertRaises(ValueError):
         a = variables.Variable(np.array([0.1,0.2]))
         b = variables.Variable(np.array([[0.3],[0.4]]))
-        tf_val = av2.accumulate_n_v2([a,b]) 
+        tf_val = av2.accumulate_n_v2([a,b])
 
   def testWrongType(self):
     with self.test_session():
       with self.assertRaises(TypeError):
         a = variables.Variable(0.2, dtype=np.float32)
         b = variables.Variable(0.1, dtype=np.float32)
-        tf_val = av2.accumulate_n_v2([a,b], tensor_dtype=np.int32) 
+        tf_val = av2.accumulate_n_v2([a,b], tensor_dtype=np.int32)
 
   def testWrongTypeOneInput(self):
     # Scenario that used to trigger a bug, even when testWrongType() worked
     with self.test_session():
       with self.assertRaises(TypeError):
         a = variables.Variable(0.2, dtype=np.float32)
-        tf_val = av2.accumulate_n_v2([a], tensor_dtype=np.int32) 
+        tf_val = av2.accumulate_n_v2([a], tensor_dtype=np.int32)
 
 
 if __name__ == "__main__":