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Diffstat (limited to 'runtime/libs/tflite/include/tflite/FeatureView.h')
-rw-r--r-- | runtime/libs/tflite/include/tflite/FeatureView.h | 108 |
1 files changed, 108 insertions, 0 deletions
diff --git a/runtime/libs/tflite/include/tflite/FeatureView.h b/runtime/libs/tflite/include/tflite/FeatureView.h new file mode 100644 index 000000000..a8f069c40 --- /dev/null +++ b/runtime/libs/tflite/include/tflite/FeatureView.h @@ -0,0 +1,108 @@ +/* + * 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 FeatureView.h + * @brief This file contains FeatureView class + * @ingroup COM_AI_RUNTIME + */ + +#ifndef __NNFW_TFLITE_FEATURE_VIEW_H__ +#define __NNFW_TFLITE_FEATURE_VIEW_H__ + +#include "tensorflow/lite/interpreter.h" + +#include "tflite/InputIndex.h" +#include "tflite/OutputIndex.h" + +#include "misc/feature/Shape.h" +#include "misc/feature/Reader.h" + +namespace nnfw +{ +namespace tflite +{ + +template <typename T> class FeatureView; + +/** + * @brief Class to support reading element of float type feature + */ +template <> class FeatureView<float> : public nnfw::misc::feature::Reader<float> +{ +public: + /** + * @brief Construct a new FeatureView object + * @param[in] interp Interpreter to read from + * @param[in] index InputIndex index of input + */ + FeatureView(::tflite::Interpreter &interp, const InputIndex &index); + /** + * @brief Construct a new FeatureView object + * @param[in] interp Interpreter to read from + * @param[in] index OutputIndex index of output + */ + FeatureView(::tflite::Interpreter &interp, const OutputIndex &index); + +public: + /** + * @brief Get value of element using channel, row and column index + * @param[in] ch Channel index + * @param[in] row Row index + * @param[in] col Column index + * @return Value of element + */ + float at(uint32_t ch, uint32_t row, uint32_t col) const; + /** + * @brief Get reference of element using channel, row and column index + * @param[in] ch Channel index + * @param[in] row Row index + * @param[in] col Column index + * @return Reference of element + */ + float &at(uint32_t ch, uint32_t row, uint32_t col); + + float at(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const = 0; + +private: + /** + * @brief Get offset of element from channel, row and column index + * @param[in] ch Channel index + * @param[in] row Row index + * @param[in] col Column index + * @return Offset of element + */ + uint32_t getElementOffset(uint32_t ch, uint32_t row, uint32_t col) const + { + uint32_t res = 0; + + // TensorFlow Lite assumes that NHWC ordering for tessor + res += row * _shape.W * _shape.C; + res += col * _shape.C; + res += ch; + + return res; + } + +private: + nnfw::misc::feature::Shape _shape; + float *_base; +}; + +} // namespace tflite +} // namespace nnfw + +#endif // __NNFW_TFLITE_FEATURE_VIEW_H__ |