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diff --git a/compute/cker/include/cker/eigen/Utils.h b/compute/cker/include/cker/eigen/Utils.h
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+++ b/compute/cker/include/cker/eigen/Utils.h
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2018 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 __NNFW_CKER_EIGEN_UTILS_H__
+#define __NNFW_CKER_EIGEN_UTILS_H__
+
+#if defined(CKER_OPTIMIZED_EIGEN)
+
+#include <Eigen/Core>
+#include <type_traits>
+#include "cker/Shape.h"
+
+namespace nnfw
+{
+namespace cker
+{
+
+// Make a local VectorMap typedef allowing to map a float array
+// as a Eigen matrix expression. The same explanation as for VectorMap
+// above also applies here.
+template <typename Scalar>
+using MatrixMap = typename std::conditional<
+    std::is_const<Scalar>::value,
+    Eigen::Map<const Eigen::Matrix<typename std::remove_const<Scalar>::type, Eigen::Dynamic,
+                                   Eigen::Dynamic>>,
+    Eigen::Map<Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>>>::type;
+
+template <typename Scalar>
+MatrixMap<Scalar> MapAsMatrixWithLastDimAsRows(Scalar *data, const Shape &shape)
+{
+  const int dims_count = shape.DimensionsCount();
+  const int rows = shape.Dims(dims_count - 1);
+  const int cols = FlatSizeSkipDim(shape, dims_count - 1);
+  return MatrixMap<Scalar>(data, rows, cols);
+}
+
+} // namespace cker
+} // namespace nnfw
+
+#endif // defined(CKER_OPTIMIZED_EIGEN)
+
+#endif // __NNFW_CKER_EIGEN_UTILS_H__