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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.
*/
#ifndef __TFL_EXPORTER_UTILS_H__
#define __TFL_EXPORTER_UTILS_H__
#include "ExporterUtils.h"
#include "schema_generated.h"
#include "Dialect/IR/TFLNodes.h"
#include <loco.h>
#include <unordered_map>
namespace exo
{
namespace tflite_detail
{
struct OpCode
{
tflite::BuiltinOperator opcode;
bool operator==(const OpCode &rhs) const { return opcode == rhs.opcode; }
};
} // namespace tflite_detail
} // namespace exo
namespace exo
{
tflite::ActivationFunctionType to_tflite_actfunc(locoex::FusedActFunc func);
} // namespace exo
namespace std
{
template <> struct hash<exo::tflite_detail::OpCode>
{
size_t operator()(const exo::tflite_detail::OpCode &x) const { return hash<int>()(x.opcode); }
};
} // namespace std
namespace exo
{
namespace tflite_detail
{
/**
* @breif Record the information of T/F Lite SubGraph and its mapping to loco
*/
struct SubGraphContext
{
/// @brief SubGraph input tensor id
std::vector<int32_t> _inputs;
/// @brief SubGraph output tensor id
std::vector<int32_t> _outputs;
};
// Prerequisites for tflite::Model object creation
struct SerializedModelData final : public SubGraphContext
{
SerializedModelData() = default;
SerializedModelData(const SerializedModelData &) = delete;
std::unordered_map<OpCode, uint32_t> _operator_codes;
std::unordered_map<OpCode, std::string> _custom_operator_codes;
std::vector<flatbuffers::Offset<tflite::Operator>> _operators;
std::vector<flatbuffers::Offset<tflite::Tensor>> _tensors;
std::vector<flatbuffers::Offset<tflite::Buffer>> _buffers;
// Graph input and output names
std::unordered_map<loco::Pull *, std::string> _pull_to_name;
std::unordered_map<loco::Push *, std::string> _push_to_name;
/**
* @brief if opcode is not registered in table of opcodes add it
* @param builtin_code
* @return idx of opcode in table of opcodes (see schema)
*/
uint32_t registerBuiltinOpcode(tflite::BuiltinOperator builtin_code);
uint32_t registerCustomOpcode(const std::string &custom_op);
};
tflite::Padding getOpPadding(const loco::Padding2D *pad, const loco::Stride<2> *stride,
const ShapeDescription &ifm, const ShapeDescription &ofm);
tflite::Padding getOpPadding(const locoex::Padding pad);
/// @brief Register graph input and output names to SerializedModelData
void registerGraphIOName(loco::Graph *graph, SerializedModelData &gd);
using TFLTensorIndex = int32_t;
void set_tensor_index(loco::Node *node, const TFLTensorIndex &tensor_id);
TFLTensorIndex get_tensor_index(loco::Node *node);
} // namespace tflite_detail
} // namespace exo
#endif // __TFL_EXPORTER_UTILS_H__
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