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/*
* 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 __ONERT_INTERP_TENSOR_H__
#define __ONERT_INTERP_TENSOR_H__
#include "Buffer.h"
#include "ir/OperandInfo.h"
#include "backend/ITensor.h"
#include "ir/Layout.h"
namespace onert
{
namespace interp
{
/**
* @brief Interface to handle Tensor in interpreter
*/
class ITensor : public backend::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 ir::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 ir::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 ir::Coordinates &coords) const = 0;
virtual bool has_padding() const = 0;
/**
* @brief Return data type of tensor
* @return Data type of tensor
*/
virtual ir::DataType data_type() const = 0;
/**
* @brief Return TensorInfo
* @return TensorInfo
*/
virtual const ir::OperandInfo &tensorInfo() const = 0;
/**
* @brief Return number of elements
* @return Number of elements
*/
virtual uint64_t num_elements() const = 0;
void access(const std::function<void(backend::ITensor &tensor)> &fn) final;
};
/**
* @brief Class to handle tensor in interpreter as read-only
*/
class ROTensor final : public ITensor
{
public:
ROTensor() = delete;
ROTensor(const ir::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 ir::Data> shareData() const override { return _data; }
void setBuffer(std::shared_ptr<const Buffer> buffer) override { _data = buffer; }
void setData(std::shared_ptr<const ir::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 ir::Coordinates &coords) const override;
ir::Layout layout() const override;
bool is_dynamic() const override { return false; }
bool has_padding() const override { return false; }
ir::DataType data_type() const override { return _info.typeInfo().type(); }
float data_scale() const override { return _info.typeInfo().scale(); }
int32_t data_offset() const override { return _info.typeInfo().offset(); }
const ir::OperandInfo &tensorInfo() const override { return _info; }
uint64_t num_elements() const override { return _info.shape().num_elements(); };
private:
const ir::OperandInfo _info;
std::shared_ptr<const ir::Data> _data{nullptr};
};
/**
* @brief Class to handle tensor in interpreter as writable
*/
class Tensor final : public ITensor
{
public:
Tensor() = delete;
Tensor(const ir::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 ir::Data> shareData() const override { return _buffer; }
void setBuffer(std::shared_ptr<const Buffer> buffer) override { _buffer = buffer; }
void setData(std::shared_ptr<const ir::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 ir::Coordinates &coords) const override;
ir::Layout layout() const override;
bool is_dynamic() const override { return false; }
bool has_padding() const override { return false; }
ir::DataType data_type() const override { return _info.typeInfo().type(); }
float data_scale() const override { return _info.typeInfo().scale(); }
int32_t data_offset() const override { return _info.typeInfo().offset(); }
const ir::OperandInfo &tensorInfo() const override { return _info; }
uint64_t num_elements() const override { return _info.shape().num_elements(); };
backend::IDynamicTensorManager *dynamic_tensor_manager() override { return nullptr; }
private:
const ir::OperandInfo _info;
std::shared_ptr<const Buffer> _buffer{nullptr};
};
} // namespace interp
} // namespace onert
#endif // __ONERT_INTERP_TENSOR_H__
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