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Diffstat (limited to 'include/support/tflite/TensorShapeUtils.h')
-rw-r--r--include/support/tflite/TensorShapeUtils.h51
1 files changed, 0 insertions, 51 deletions
diff --git a/include/support/tflite/TensorShapeUtils.h b/include/support/tflite/TensorShapeUtils.h
deleted file mode 100644
index 711128b48..000000000
--- a/include/support/tflite/TensorShapeUtils.h
+++ /dev/null
@@ -1,51 +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.
- */
-
-#ifndef __NNFW_SUPPORT_TFLITE_TENSOR_SHAPE_UTILS_H__
-#define __NNFW_SUPPORT_TFLITE_TENSOR_SHAPE_UTILS_H__
-
-#include "util/tensor/Shape.h"
-
-#include <vector>
-
-namespace nnfw
-{
-namespace support
-{
-namespace tflite
-{
-
-// Converts tensor::Shape into a vector
-static inline std::vector<int32_t> as_dims(const nnfw::util::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;
-}
-
-nnfw::util::tensor::Shape broadcast(const nnfw::util::tensor::Shape &lhs_shape,
- const nnfw::util::tensor::Shape &rhs_shape);
-
-} // namespace tflite
-} // namespace support
-} // namespace nnfw
-
-#endif // __NNFW_SUPPORT_TFLITE_TENSOR_SHAPE_UTILS_H__