Apply clang-format.

tensorflow/lite/kernels/resize_nearest_neighbor.cc

@@ -127,8 +127,8 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
         GetTensorShape(size), GetTensorData<int32>(size),
         GetTensorShape(output), GetTensorData<int16_t>(output));
   } else {
-    TF_LITE_KERNEL_LOG(context,
-                       "Output type is %s, requires float, uint8, int8 or int16.",
+    TF_LITE_KERNEL_LOG(
+        context, "Output type is %s, requires float, uint8, int8 or int16.",
         TfLiteTypeGetName(output->type));
     return kTfLiteError;
   }

tensorflow/lite/tools/versioning/op_version_test.cc

@@ -701,7 +701,8 @@ TEST(OpVersionTest, VersioningResizeNearestNeighborTest) {
   // int16 input is version 4.
   fake_op_sig = {
       .op = BuiltinOperator_RESIZE_NEAREST_NEIGHBOR,
-      .input_types = std::vector<TensorType>{TensorType_INT16, TensorType_INT32},
+      .input_types =
+          std::vector<TensorType>{TensorType_INT16, TensorType_INT32},
       .output_types = std::vector<TensorType>{TensorType_INT16},
   };
   EXPECT_EQ(GetBuiltinOperatorVersion(fake_op_sig), 4);

tensorflow/lite/tools/versioning/runtime_version.cc

@@ -186,7 +186,8 @@ std::string FindMinimumRuntimeVersionForOp(tflite::BuiltinOperator op_code,
               {{BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, 1}, "1.13.1"},
               {{BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, 2}, "1.14.0"},
               {{BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, 3}, "2.3.0"},
-              {{BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, 4}, kPendingReleaseVersion},
+              {{BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, 4},
+               kPendingReleaseVersion},
               {{BuiltinOperator_RNN, 1}, "1.5.0"},
               {{BuiltinOperator_RNN, 2}, "1.14.0"},
               {{BuiltinOperator_RNN, 3}, "2.3.0"},