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/*
* Copyright (c) 2020 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.
*/
#include <iostream>
#include "CircleModel.h"
#include "DataLookup.h"
namespace tflite2circle
{
template <>
Offset<MetaDataBufferLink>::Offset(FlatBufBuilder &fb, const TFLFlatBufVec *tflite_flatbuffer_vec)
{
if (tflite_flatbuffer_vec == nullptr)
return;
std::vector<int32_t> metadata_buffer_vec{tflite_flatbuffer_vec->begin(),
tflite_flatbuffer_vec->end()};
_circle_flatbuffer_vec_offset = fb->CreateVector(metadata_buffer_vec);
}
template <>
Offset<BufferLink>::Offset(FlatBufBuilder &fb, const TFLFlatBufVec *tflite_flatbuffer_vec)
{
std::vector<flatbuffers::Offset<circle::Buffer>> buffers_vec;
for (auto it : *tflite_flatbuffer_vec)
{
flatbuffers::Offset<flatbuffers::Vector<uint8_t>> buffer_data;
if (it->data())
{
std::vector<uint8_t> data_vec{it->data()->begin(), it->data()->end()};
buffer_data = fb->CreateVector(data_vec);
}
circle::BufferBuilder circle_buffer_builder{*fb};
circle_buffer_builder.add_data(buffer_data);
auto circle_buffers = circle_buffer_builder.Finish();
buffers_vec.emplace_back(circle_buffers);
}
_circle_flatbuffer_vec_offset = fb->CreateVector(buffers_vec);
}
template <>
Offset<SubGraphLink>::Offset(FlatBufBuilder &fb, const TFLFlatBufVec *tflite_flatbuffer_vec)
{
std::vector<flatbuffers::Offset<circle::SubGraph>> subgprahs_vec;
for (auto it_sg : *tflite_flatbuffer_vec)
{
// tensors of subgraph
std::vector<flatbuffers::Offset<circle::Tensor>> tensor_vec;
auto tflite_tensors = it_sg->tensors();
for (auto it : *tflite_tensors)
{
// shape
std::vector<int32_t> shape_vec{it->shape()->begin(), it->shape()->end()};
auto shape = fb->CreateVector(shape_vec);
// name
flatbuffers::Offset<flatbuffers::String> name;
if (it->name())
name = fb->CreateString(it->name()->str());
// quantization
flatbuffers::Offset<circle::QuantizationParameters> quantization;
if (it->quantization())
{
std::vector<float> tfmin;
std::vector<float> tfmax;
std::vector<float> tfscale;
std::vector<int64_t> tfzerop;
flatbuffers::Offset<flatbuffers::Vector<float>> min;
flatbuffers::Offset<flatbuffers::Vector<float>> max;
flatbuffers::Offset<flatbuffers::Vector<float>> scale;
flatbuffers::Offset<flatbuffers::Vector<int64_t>> zero_point;
if (it->quantization()->min() && it->quantization()->max())
{
auto rmin = it->quantization()->min();
auto rmax = it->quantization()->max();
tfmin = std::vector<float>{rmin->begin(), rmin->end()};
tfmax = std::vector<float>{rmax->begin(), rmax->end()};
min = fb->CreateVector(tfmin);
max = fb->CreateVector(tfmax);
}
if (it->quantization()->scale() && it->quantization()->zero_point())
{
auto rs = it->quantization()->scale();
auto rz = it->quantization()->zero_point();
tfscale = std::vector<float>{rs->begin(), rs->end()};
tfzerop = std::vector<int64_t>{rz->begin(), rz->end()};
scale = fb->CreateVector(tfscale);
zero_point = fb->CreateVector(tfzerop);
}
quantization = circle::CreateQuantizationParameters(*fb, min, max, scale, zero_point);
}
// is_variable
bool is_variable = it->is_variable();
circle::TensorBuilder tensor_builder{*fb};
tensor_builder.add_shape(shape);
tensor_builder.add_type(get_circle_tensortype(it->type()));
tensor_builder.add_buffer(it->buffer());
tensor_builder.add_name(name);
tensor_builder.add_quantization(quantization);
tensor_builder.add_is_variable(is_variable);
auto tensor = tensor_builder.Finish();
tensor_vec.emplace_back(tensor);
}
auto circle_tensors = fb->CreateVector(tensor_vec);
// inputs of subgraph
auto tflite_inputs = it_sg->inputs();
std::vector<int32_t> input_vec{tflite_inputs->begin(), tflite_inputs->end()};
auto circle_inputs = fb->CreateVector(input_vec);
// outputs of subgraph
auto tflite_outputs = it_sg->outputs();
std::vector<int32_t> output_vec{tflite_outputs->begin(), tflite_outputs->end()};
auto circle_outputs = fb->CreateVector(output_vec);
// operators of subgraph
std::vector<flatbuffers::Offset<circle::Operator>> operator_vec;
auto tflite_operators = it_sg->operators();
for (auto it : *tflite_operators)
{
// inputs
std::vector<int32_t> input_vec{it->inputs()->begin(), it->inputs()->end()};
auto circle_inputs = fb->CreateVector(input_vec);
// outputs
std::vector<int32_t> output_vec{it->outputs()->begin(), it->outputs()->end()};
auto circle_outputs = fb->CreateVector(output_vec);
// builtin options
auto circle_builtin_options = get_circle_builtin_options(*fb, it);
auto circle_builtin_options_type = get_circle_builtin_options_type(it);
circle::OperatorBuilder operator_builder{*fb};
operator_builder.add_opcode_index(it->opcode_index());
operator_builder.add_inputs(circle_inputs);
operator_builder.add_outputs(circle_outputs);
operator_builder.add_builtin_options(circle_builtin_options);
operator_builder.add_builtin_options_type(circle_builtin_options_type);
// TODO custom_options, mutating_variable_inputs
auto opeartor = operator_builder.Finish();
operator_vec.emplace_back(opeartor);
}
auto circle_operators = fb->CreateVector(operator_vec);
// name of subgraph
auto subgraphs_name = fb->CreateString(it_sg->name());
// subgraphs
auto circle_subgraph_builder = circle::SubGraphBuilder{*fb};
circle_subgraph_builder.add_tensors(circle_tensors);
circle_subgraph_builder.add_inputs(circle_inputs);
circle_subgraph_builder.add_outputs(circle_outputs);
circle_subgraph_builder.add_operators(circle_operators);
circle_subgraph_builder.add_name(subgraphs_name);
circle_subgraph_builder.add_data_format(circle::DataFormat_CHANNELS_LAST);
auto circle_subgraph = circle_subgraph_builder.Finish();
subgprahs_vec.emplace_back(circle_subgraph);
}
_circle_flatbuffer_vec_offset = fb->CreateVector(subgprahs_vec);
}
template <>
Offset<OperatorCodeLink>::Offset(FlatBufBuilder &fb, const TFLFlatBufVec *tflite_flatbuffer_vec)
{
std::vector<flatbuffers::Offset<circle::OperatorCode>> operator_code_vec;
for (auto it : *tflite_flatbuffer_vec)
{
auto custom_code = fb->CreateString(it->custom_code());
circle::OperatorCodeBuilder operator_code_builder{*fb};
operator_code_builder.add_builtin_code(get_circle_builtin_code(it->builtin_code()));
operator_code_builder.add_custom_code(custom_code);
operator_code_builder.add_version(it->version());
auto code = operator_code_builder.Finish();
operator_code_vec.emplace_back(code);
}
_circle_flatbuffer_vec_offset = fb->CreateVector(operator_code_vec);
}
CircleModel::CircleModel(FlatBufBuilder &fb, TFLModel &model)
: _version{0}, _description{fb->CreateString("nnpackage")}, _fb{fb}
{
const tflite::Model *tfl_model = model.load_model();
_operator_codes_offset =
stdex::make_unique<Offset<OperatorCodeLink>>(fb, tfl_model->operator_codes());
_subGraphs_offset = stdex::make_unique<Offset<SubGraphLink>>(fb, tfl_model->subgraphs());
_buffers_offset = stdex::make_unique<Offset<BufferLink>>(fb, tfl_model->buffers());
_metadata_buffer_offset =
stdex::make_unique<Offset<MetaDataBufferLink>>(fb, tfl_model->metadata_buffer());
model_build();
}
void CircleModel::model_build(void) const
{
circle::ModelBuilder model_builder{*_fb};
model_builder.add_version(_version);
model_builder.add_description(_description);
model_builder.add_operator_codes(_operator_codes_offset->offset());
model_builder.add_subgraphs(_subGraphs_offset->offset());
model_builder.add_buffers(_buffers_offset->offset());
model_builder.add_metadata_buffer(_metadata_buffer_offset->offset());
auto model = model_builder.Finish();
circle::FinishModelBuffer(*_fb, model);
}
const char *CircleModel::base(void) const
{
return reinterpret_cast<const char *>(_fb->GetBufferPointer());
}
size_t CircleModel::size(void) const { return _fb->GetSize(); }
} // namespace tflite2circle
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