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/*
* 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 _NNC_SOFT_BACKEND_SERIALIZER_H_
#define _NNC_SOFT_BACKEND_SERIALIZER_H_
#include "mir/Visitor.h"
#include "mir/Shape.h"
#include "mir/TensorVariant.h"
#include "ModelAnalyzer.h"
#include <vector>
#include <cstdint>
namespace nnc
{
/**
* @brief Serializer of network parameters for soft backend
*
* Serializer class responsible for serialization of given computational graph parameters and
* binding of inference operations to this data.
* It owns buffer that contains serialized data.
* To serialize data `serialize` method should be called with sequence from ModelAnalyzer object
* To gather this vector use `getBuffer` method.
* Objects of this class are one-off and not designed to serialize more than one IR
*/
class Serializer : public mir::Visitor
{
public:
void visit(mir::ops::AbsOp &op) override;
void visit(mir::ops::AddOp &op) override;
void visit(mir::ops::AvgPool2DOp &op) override;
void visit(mir::ops::BroadcastOp &op) override;
void visit(mir::ops::CappedReluOp &op) override;
void visit(mir::ops::ConcatOp &op) override;
void visit(mir::ops::ConstantOp &op) override;
void visit(mir::ops::Conv2DOp &op) override;
void visit(mir::ops::DeConv2DOp &op) override;
void visit(mir::ops::DepthwiseConv2DOp &op) override;
void visit(mir::ops::DivOp &op) override;
void visit(mir::ops::EluOp &op) override;
void visit(mir::ops::FullyConnectedOp &op) override;
void visit(mir::ops::GatherOp &op) override;
void visit(mir::ops::InputOp &op) override;
void visit(mir::ops::LeakyReluOp &op) override;
void visit(mir::ops::MaxOp &op) override;
void visit(mir::ops::MaxPool2DOp &op) override;
void visit(mir::ops::MulOp &op) override;
void visit(mir::ops::OutputOp &op) override;
void visit(mir::ops::PadOp &op) override;
void visit(mir::ops::ReduceMeanOp &op) override;
void visit(mir::ops::ReluOp &op) override;
void visit(mir::ops::ReshapeOp &op) override;
void visit(mir::ops::ResizeOp &op) override;
void visit(mir::ops::SigmoidOp &op) override;
void visit(mir::ops::SliceOp &op) override;
void visit(mir::ops::SoftmaxOp &op) override;
void visit(mir::ops::SqrtOp &op) override;
void visit(mir::ops::SqueezeOp &op) override;
void visit(mir::ops::SubOp &op) override;
void visit(mir::ops::TanhOp &op) override;
void visit(mir::ops::TransposeOp &op) override;
void serialize(std::vector<std::unique_ptr<sir::Action>> &inference_sequence);
const std::vector<char> &getBuffer() const { return _buffer; }
uint32_t getFormatVersion() const { return _formatVersion; }
uint32_t getModelHash() const { return _modelHash; }
protected:
void visit_fallback(mir::Operation &op) override;
private:
/**
* @brief Low level function to serialize untyped data buffer
* @param data Buffer containing data to serialize
* @param size Size of data to serialize
*/
void packData(const void *data, size_t size);
/**
* @brief Serialize trivially copyable objects
* @tparam T Type of object to serialize
* @param obj Reference to object to serialize
*/
template <typename T> void serializeT(const T &obj);
/**
* @brief Serialize Tensor shape object
* @param s shape to serialize
*/
void serializeShape(const mir::Shape &s);
/**
* @brief Function serializes type of given tensor base data,
* it's shape and raw data in 'c' format(i.e. layout of multidimensional C array)
* @param t Tensor to serialize
*/
void serializeTensor(const mir::TensorVariant &t);
/**
* @brief Serialize strides.
* @param strides The strides to serialize.
*/
void serializeStrides(const std::vector<std::int32_t> &strides);
/**
* @brief Serialize pads for operations like Conv2D
* @tparam Op Operation type
* @param op Reference to operation where pads are stored
* @param padsRank Number of pads to serialize
*/
template <class Op> void serializePads(const Op &op, int32_t number_of_pads);
sir::CallFunction *_curOp = nullptr;
const uint32_t _formatVersion = 1;
uint32_t _modelHash = 0;
std::vector<char> _buffer;
};
} // namespace nnc
#endif //_NNC_SOFT_BACKEND_SERIALIZER_H_
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