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Diffstat (limited to 'runtime/libs/tflite/include/tflite/TensorShapeUtils.h')
-rw-r--r-- | runtime/libs/tflite/include/tflite/TensorShapeUtils.h | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/runtime/libs/tflite/include/tflite/TensorShapeUtils.h b/runtime/libs/tflite/include/tflite/TensorShapeUtils.h new file mode 100644 index 000000000..ba8687413 --- /dev/null +++ b/runtime/libs/tflite/include/tflite/TensorShapeUtils.h @@ -0,0 +1,64 @@ +/* + * 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__ |