diff --git a/tensorflow/core/kernels/strided_slice_op.cc b/tensorflow/core/kernels/strided_slice_op.cc
index f0575de4d96..3e8a4c5b725 100644
--- a/tensorflow/core/kernels/strided_slice_op.cc
+++ b/tensorflow/core/kernels/strided_slice_op.cc
@@ -149,7 +149,7 @@ class StridedSliceOp : public OpKernel {
       // NDIM and T
       if (is_simple_slice && std::is_same<Device, CPUDevice>::value &&
           input_dims == 2 && processing_shape.dims() == 2 &&
-          final_shape.dims() == 2) {
+          final_shape.dims() == 2 && new_axis_mask == 0) {
         MemCpyFunctor<T> functor;
         if (functor.Copy(input, begin, end, result)) {
           return;
diff --git a/tensorflow/python/kernel_tests/array_ops_test.py b/tensorflow/python/kernel_tests/array_ops_test.py
index c5547b19be3..dcc594789eb 100644
--- a/tensorflow/python/kernel_tests/array_ops_test.py
+++ b/tensorflow/python/kernel_tests/array_ops_test.py
@@ -615,6 +615,14 @@ class StridedSliceTest(test_util.TensorFlowTestCase):
       _ = checker[:, 0]
       _ = checker[:, :, 0]
 
+  def testBothNewAxisAndShrink(self):
+    with self.test_session(use_gpu=True):
+      ones = array_ops.placeholder(shape=[2, 2], dtype=dtypes.int16)
+      self.assertAllEqual(
+          ones[array_ops.newaxis, :, 0].eval(
+              feed_dict={ones: [[1, 1], [1, 1]]}),
+          [[1, 1]])
+
   def testTensorIndexing(self):
     with self.test_session(use_gpu=True):
       raw = [[[[[1, 2, 4, 5], [5, 6, 7, 8], [9, 10, 11, 12]]],