1 files changed, 0 insertions, 64 deletions
diff --git a/runtime/libs/tflite/include/tflite/TensorShapeUtils.h b/runtime/libs/tflite/include/tflite/TensorShapeUtils.h
deleted file mode 100644
index ba8687413..000000000
--- a/runtime/libs/tflite/include/tflite/TensorShapeUtils.h
+++ /dev/null
@@ -1,64 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
- */
-
-/**
- * @file     TensorShapeUtils.h
- * @brief    This file contains utilities function of tensor shape
- * @ingroup  COM_AI_RUNTIME
- */
-
-#ifndef __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__
-#define __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__
-
-#include "misc/tensor/Shape.h"
-
-#include <vector>
-
-namespace nnfw
-{
-namespace tflite
-{
-
-/**
- * @brief Converts tensor::Shape into a vector
- * @param[in] shape The tensor shape to be converted
- * @return vector value of given shape object
- */
-static inline std::vector<int32_t> as_dims(const nnfw::misc::tensor::Shape &shape)
-{
-  std::vector<int32_t> dims;
-
-  for (uint32_t axis = 0; axis < shape.rank(); ++axis)
-  {
-    dims.emplace_back(shape.dim(axis));
-  }
-
-  return dims;
-}
-
-/**
- * @brief Broadcasts between two given shapes
- * @param[in] lhs_shape The left hand side shape
- * @param[in] rhs_shape The right hand side shape
- * @return The broadcasted shape
- */
-nnfw::misc::tensor::Shape broadcast(const nnfw::misc::tensor::Shape &lhs_shape,
-                                    const nnfw::misc::tensor::Shape &rhs_shape);
-
-} // namespace tflite
-} // namespace nnfw
-
-#endif // __NNFW_TFLITE_TENSOR_SHAPE_UTILS_H__