1 files changed, 18 insertions, 18 deletions
diff --git a/tensorflow/core/kernels/segment_reduction_ops.h b/tensorflow/core/kernels/segment_reduction_ops.h
index 412c1d601d..b10bea72ba 100644
--- a/tensorflow/core/kernels/segment_reduction_ops.h
+++ b/tensorflow/core/kernels/segment_reduction_ops.h
@@ -30,14 +30,14 @@ namespace functor {
 #ifdef GOOGLE_CUDA
 typedef Eigen::GpuDevice GPUDevice;
 // Functor for SegmentSumGPUOp.
-// 'output_rows': the number of output segments (unique segment ids in
+// output_rows: the number of output segments (unique segment ids in
 //                'segment_ids').
-// 'segment_ids_shape': shape of 'segment_ids' tensor.
-// 'segment_ids': unsorted map from input to output segment ids at which to
+// segment_ids_shape: shape of 'segment_ids' tensor.
+// segment_ids: unsorted map from input to output segment ids at which to
 //                perform segment sum operation.
-// 'data_size': size of input data tensor.
-// 'data': input data tensor.
-// 'output': output reshaped to {output_rows, output.size/output_rows}
+// data_size: size of input data tensor.
+// data: input data tensor.
+// output: output reshaped to {output_rows, output.size/output_rows}
 template <typename T, typename Index>
 struct SegmentSumFunctor {
   void operator()(OpKernelContext* ctx, const GPUDevice& d,
@@ -61,14 +61,14 @@ struct UnsortedSegmentBaseFunctor{
 };
 
 // Functor for UnsortedSegmentSumOp.
-// 'output_rows': the number of output segments (unique segment ids in
+// output_rows: the number of output segments (unique segment ids in
 //                'segment_ids').
-// 'segment_ids_shape': shape of 'segment_ids' tensor.
-// 'segment_ids': unsorted map from input to output segment ids at which to
+// segment_ids_shape: shape of 'segment_ids' tensor.
+// segment_ids: unsorted map from input to output segment ids at which to
 //                perform segment sum operation.
-// 'data_size': size of input data tensor.
-// 'data': input data tensor.
-// 'output': output reshaped to {output_rows, output.size/output_rows}
+// data_size: size of input data tensor.
+// data: input data tensor.
+// output: output reshaped to {output_rows, output.size/output_rows}
 template <typename Device, typename T, typename Index>
 struct UnsortedSegmentSumFunctor: public UnsortedSegmentBaseFunctor<Device, T, Index> {
   void operator()(OpKernelContext* ctx, const Device& d,
@@ -79,14 +79,14 @@ struct UnsortedSegmentSumFunctor: public UnsortedSegmentBaseFunctor<Device, T, I
 };
 
 // Functor for UnsortedSegmentMaxOp.
-// 'output_rows': the number of output segments (unique segment ids in
+// output_rows: the number of output segments (unique segment ids in
 //                'segment_ids').
-// 'segment_ids_shape': shape of 'segment_ids' tensor.
-// 'segment_ids': unsorted map from input to output segment ids at which to
+// segment_ids_shape: shape of 'segment_ids' tensor.
+// segment_ids: unsorted map from input to output segment ids at which to
 //                perform segment sum operation.
-// 'data_size': size of input data tensor.
-// 'data': input data tensor.
-// 'output': output reshaped to {output_rows, output.size/output_rows}
+// data_size: size of input data tensor.
+// data: input data tensor.
+// output: output reshaped to {output_rows, output.size/output_rows}
 template <typename Device, typename T, typename Index>
 struct UnsortedSegmentMaxFunctor: public UnsortedSegmentBaseFunctor<Device, T, Index> {
   void operator()(OpKernelContext* ctx, const Device& d,