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Diffstat (limited to 'runtimes/neurun/core/src/exec/interp/Tensor.h')
-rw-r--r-- | runtimes/neurun/core/src/exec/interp/Tensor.h | 179 |
1 files changed, 179 insertions, 0 deletions
diff --git a/runtimes/neurun/core/src/exec/interp/Tensor.h b/runtimes/neurun/core/src/exec/interp/Tensor.h new file mode 100644 index 000000000..c8237de1e --- /dev/null +++ b/runtimes/neurun/core/src/exec/interp/Tensor.h @@ -0,0 +1,179 @@ +/* + * Copyright (c) 2019 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 Tensor.h + * @brief This file contains ITensor interface, ROTensor class, and Tensor class + */ +#ifndef __NEURUN_EXEC_INTERP_TENSOR_H__ +#define __NEURUN_EXEC_INTERP_TENSOR_H__ + +#include "Buffer.h" + +#include "model/OperandInfo.h" +#include "backend/operand/ITensor.h" +#include "model/Layout.h" + +namespace neurun +{ +namespace exec +{ +namespace interp +{ + +/** + * @brief Interface to handle Tensor in interpreter + */ +class ITensor : public backend::operand::ITensor +{ +public: + virtual ~ITensor() = default; + +public: + virtual uint8_t *buffer() const = 0; + /** + * @brief Return shared pointer for buffer + * @return Buffer shared pointer + */ + virtual std::shared_ptr<const Buffer> shareBuffer() const = 0; + /** + * @brief Return read-only buffer pointer + * @return Read-only buffer pointer + */ + virtual const uint8_t *bufferRO() const = 0; + /** + * @brief Return shared pointer for data + * @return Data shared pointer + */ + virtual std::shared_ptr<const model::Data> shareData() const = 0; + /** + * @brief Set internal/external buffer + * @param[in] buffer Buffer pointer + */ + virtual void setBuffer(std::shared_ptr<const Buffer> buffer) = 0; + /** + * @brief Set data reference (including constant, input) + * @param[in] data Data pointer + */ + virtual void setData(std::shared_ptr<const model::Data> data) = 0; + virtual void releaseData() = 0; + + virtual size_t total_size() const = 0; + virtual size_t dimension(size_t index) const = 0; + virtual size_t num_dimensions() const = 0; + virtual size_t calcOffset(const util::Coordinates &coords) const = 0; + + virtual bool has_padding() const = 0; + /** + * @brief Return data type of tensor + * @return Data type of tensor + */ + virtual model::DataType data_type() const = 0; + /** + * @brief Return TensorInfo + * @return TensorInfo + */ + virtual const model::OperandInfo &tensorInfo() const = 0; + /** + * @brief Return number of elements + * @return Number of elements + */ + virtual uint64_t num_elements() const = 0; +}; + +/** + * @brief Class to handle tensor in interpreter as read-only + */ +class ROTensor final : public ITensor +{ +public: + ROTensor() = delete; + ROTensor(const model::OperandInfo &info) : _info(info) + { + // DO NOTHING + } + +public: + uint8_t *buffer() const override { throw std::runtime_error{"Read only tensor"}; } + std::shared_ptr<const Buffer> shareBuffer() const override + { + throw std::runtime_error{"Read only tensor"}; + } + const uint8_t *bufferRO() const override { return _data->base(); } + std::shared_ptr<const model::Data> shareData() const override { return _data; } + void setBuffer(std::shared_ptr<const Buffer> buffer) override { _data = buffer; } + void setData(std::shared_ptr<const model::Data> data) override { _data = data; } + void releaseData() override { _data = nullptr; } + + size_t total_size() const override { return _info.total_size(); } + size_t dimension(size_t index) const override { return _info.shape().dim(index); } + size_t num_dimensions() const override { return _info.shape().rank(); } + size_t calcOffset(const util::Coordinates &coords) const override; + model::Layout layout() const override; + bool has_padding() const override { return false; } + model::DataType data_type() const override { return _info.typeInfo().type(); } + const model::OperandInfo &tensorInfo() const override { return _info; } + uint64_t num_elements() const override { return _info.shape().num_elements(); }; + +private: + const model::OperandInfo _info; + std::shared_ptr<const model::Data> _data{nullptr}; +}; + +/** + * @brief Class to handle tensor in interpreter as writable + */ +class Tensor final : public ITensor +{ +public: + Tensor() = delete; + Tensor(const model::OperandInfo &info) : _info(info) + { + // DO NOTHING + } + +public: + uint8_t *buffer() const override { return _buffer->baseWritable(); } + std::shared_ptr<const Buffer> shareBuffer() const override { return _buffer; }; + const uint8_t *bufferRO() const override { return _buffer->base(); } + std::shared_ptr<const model::Data> shareData() const override { return _buffer; } + void setBuffer(std::shared_ptr<const Buffer> buffer) override { _buffer = buffer; } + void setData(std::shared_ptr<const model::Data>) override + { + throw std::runtime_error{"Passed data may read-only"}; + } + void releaseData() override { _buffer = nullptr; } + + size_t total_size() const override { return _info.total_size(); } + size_t dimension(size_t index) const override { return _info.shape().dim(index); } + size_t num_dimensions() const override { return _info.shape().rank(); } + size_t calcOffset(const util::Coordinates &coords) const override; + model::Layout layout() const override; + bool has_padding() const override { return false; } + model::DataType data_type() const override { return _info.typeInfo().type(); } + const model::OperandInfo &tensorInfo() const override { return _info; } + uint64_t num_elements() const override { return _info.shape().num_elements(); }; + +private: + const model::OperandInfo _info; + std::shared_ptr<const Buffer> _buffer{nullptr}; +}; + +} // namespace interp +} // namespace exec +} // namespace neurun + +#endif // __NEURUN_EXEC_INTERP_TENSOR_H__ |