diff --git a/tensorflow/lite/kernels/internal/BUILD b/tensorflow/lite/kernels/internal/BUILD
index b0a5cb9e8db..728d386058f 100644
--- a/tensorflow/lite/kernels/internal/BUILD
+++ b/tensorflow/lite/kernels/internal/BUILD
@@ -465,6 +465,7 @@ cc_library(
         "reference/exp.h",
         "reference/fill.h",
         "reference/floor.h",
+        "reference/floor_mod.h",
         "reference/fully_connected.h",
         "reference/hard_swish.h",
         "reference/integer_ops/add.h",
@@ -571,6 +572,7 @@ cc_library(
         "reference/exp.h",
         "reference/fill.h",
         "reference/floor.h",
+        "reference/floor_mod.h",
         "reference/fully_connected.h",
         "reference/hard_swish.h",
         "reference/l2normalization.h",
diff --git a/tensorflow/lite/kernels/internal/reference/floor_mod.h b/tensorflow/lite/kernels/internal/reference/floor_mod.h
new file mode 100644
index 00000000000..b1fe1705011
--- /dev/null
+++ b/tensorflow/lite/kernels/internal/reference/floor_mod.h
@@ -0,0 +1,43 @@
+/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_MOD_H_
+#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_MOD_H_
+
+#include <functional>
+
+namespace tflite {
+
+namespace reference_ops {
+
+template <typename T>
+T FloorMod(T input1, T input2) {
+  struct FloatMod {
+    float operator()(const float lhs, const float rhs) const {
+      return std::fmod(lhs, rhs);
+    }
+  };
+  using ModFunc = typename std::conditional<std::is_integral<T>::value,
+                                            std::modulus<T>, FloatMod>::type;
+  ModFunc mod_func;
+  T trunc_mod = mod_func(input1, input2);
+  return (trunc_mod != 0) && ((input2 < 0) != (trunc_mod < 0))
+             ? (trunc_mod + input2)
+             : trunc_mod;
+}
+
+}  // namespace reference_ops
+}  // namespace tflite
+
+#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_MOD_H_
diff --git a/tensorflow/lite/kernels/internal/reference/reference_ops.h b/tensorflow/lite/kernels/internal/reference/reference_ops.h
index 9b05a4fef0e..a7270e876a0 100644
--- a/tensorflow/lite/kernels/internal/reference/reference_ops.h
+++ b/tensorflow/lite/kernels/internal/reference/reference_ops.h
@@ -44,6 +44,7 @@ limitations under the License.
 #include "tensorflow/lite/kernels/internal/reference/exp.h"
 #include "tensorflow/lite/kernels/internal/reference/fill.h"
 #include "tensorflow/lite/kernels/internal/reference/floor.h"
+#include "tensorflow/lite/kernels/internal/reference/floor_mod.h"
 #include "tensorflow/lite/kernels/internal/reference/fully_connected.h"
 #include "tensorflow/lite/kernels/internal/reference/hard_swish.h"
 #include "tensorflow/lite/kernels/internal/reference/l2normalization.h"
@@ -1174,22 +1175,6 @@ inline void Cast(const RuntimeShape& input_shape, const SrcT* input_data,
   }
 }
 
-template <typename T>
-T FloorMod(T input1, T input2) {
-  struct FloatMod {
-    float operator()(const float lhs, const float rhs) const {
-      return std::fmod(lhs, rhs);
-    }
-  };
-  using ModFunc = typename std::conditional<std::is_integral<T>::value,
-                                            std::modulus<T>, FloatMod>::type;
-  ModFunc mod_func;
-  T trunc_mod = mod_func(input1, input2);
-  return (trunc_mod != 0) && ((input2 < 0) != (trunc_mod < 0))
-             ? (trunc_mod + input2)
-             : trunc_mod;
-}
-
 template <typename T, typename CoordsT = int32>
 inline void Gather(const tflite::GatherParams& op_params,
                    const RuntimeShape& input_shape, const T* input_data,