Internal Copybara change.

PiperOrigin-RevId: 302071704
Change-Id: If250e336a66aa462b09881cf9a8f6eb4e6ccc3a7

tensorflow/core/kernels/eigen_contraction_kernel.cc

@@ -28,7 +28,9 @@ limitations under the License.
 // the configuration through the environment variable.
 //
 // Example:
-//   bazel test --test_env=TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL=false //test
+//   bazel test \
+//     --test_env=TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL=false \
+//     //path/to:test
 
 #if defined(TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL)
 
@@ -37,7 +39,11 @@ namespace internal {
 
 // TODO(ezhulenev): This is a temporary workaround for disabling custom kernels
 // at runtime in tests. We should always rely on compile time flags for that.
-// Example: ... --test_env=TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL=false //test
+//
+// Example:
+//   bazel test \
+//     --test_env=TENSORFLOW_USE_CUSTOM_CONTRACTION_KERNEL=false \
+//     //path/to:test
 EIGEN_DEVICE_FUNC EIGEN_DONT_INLINE bool UseCustomContractionKernels() {
   static bool use_custom_contraction_kernel = true;
 

tensorflow/core/platform/strcat.h

@@ -33,7 +33,7 @@ limitations under the License.
 // to your function, your callers will automatically convert bools, integers,
 // and floating point values to strings for you.
 //
-// NOTE: Use of AlphaNum outside of the //strings package is unsupported except
+// NOTE: Use of AlphaNum outside of the "strings" package is unsupported except
 // for the specific case of function parameters of type "AlphaNum" or "const
 // AlphaNum &". In particular, instantiating AlphaNum directly as a stack
 // variable is not supported.

tensorflow/lite/delegates/gpu/gl/kernels/resize.cc

@@ -93,7 +93,7 @@ class Resize : public NodeShader {
       st.xy = max(icoord_floor, ivec2(0, 0));
       st.zw = min(icoord_floor + ivec2(1, 1), borders);
 
-      vec2 t = coord - coord_floor; //interpolating factors
+      vec2 t = coord - coord_floor; // interpolating factors
 
       vec4 tex11 = $input_data_0[st.x, st.y, gid.z]$;
       vec4 tex21 = $input_data_0[st.z, st.y, gid.z]$;

tensorflow/lite/delegates/gpu/metal/kernels/resize.cc

@@ -54,7 +54,7 @@ std::string GetResizeBilinearCode(bool half_pixel_centers) {
       int4 st;
       st.xy = max(itex_coord_floor, int2(0, 0));
       st.zw = min(itex_coord_floor + int2(1, 1), borders);
-      const float2 t = tex_coord - tex_coord_floor; //interpolating factors
+      const float2 t = tex_coord - tex_coord_floor; // interpolating factors
       const int src_index0 = (gid.z * size.y + st.y) * size.x + st.x;
       const int src_index1 = (gid.z * size.y + st.y) * size.x + st.z;
       const int src_index2 = (gid.z * size.y + st.w) * size.x + st.x;