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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.
*/
#include "Frontend.h"
#include "Context.h"
#include "GraphBuilderRegistry.h"
#include <nncc/core/ADT/tensor/Shape.h>
#include <nncc/core/ADT/tensor/LexicalLayout.h>
#include <map>
#include <set>
#include <string>
#include <cassert>
#include <stdexcept>
using namespace nncc::core::ADT;
using tensor::LexicalLayout;
Frontend::Frontend() : _prototxt{new ::caffe::NetParameter}, _caffemodel{new ::caffe::NetParameter}
{
// DO NOTHING
}
enco::Bundle Frontend::load(void) const
{
auto module = coco::Module::create();
auto blk = module->entity()->block()->create();
module->block()->append(blk);
auto data = coco::Data::create();
// For weight access
caffeimport::WeightContext weight_ctx(_caffemodel.get());
// For inter-layer communication
std::map<std::string, tensor::Shape> shape_ctx;
std::map<std::string, coco::Bag *> bag_ctx;
std::set<std::string> bags;
std::map<std::string, uint32_t> def_count;
std::map<std::string, uint32_t> use_count;
auto def = [&bags, &def_count, &use_count](const std::string &name) {
if (bags.find(name) == bags.end())
{
bags.insert(name);
def_count[name] = 0;
use_count[name] = 0;
}
def_count.at(name) += 1;
};
auto use = [&use_count](const std::string &name) { use_count.at(name) += 1; };
auto outputs = [&bags, &def_count, &use_count](void) {
std::set<std::string> res;
for (const auto &bag : bags)
{
if (def_count.at(bag) > use_count.at(bag))
{
res.insert(bag);
}
}
return res;
};
caffeimport::GraphBuilderContext opbuilder_context(module.get(), data.get(), blk, shape_ctx,
bag_ctx, weight_ctx);
for (const auto &layer : _prototxt->layer())
{
assert(layer.has_name());
assert(layer.has_type());
for (uint32_t n = 0; n < layer.top().size(); ++n)
{
def(layer.top(n));
}
for (uint32_t n = 0; n < layer.bottom().size(); ++n)
{
use(layer.bottom(n));
}
if (const auto *graph_builder = caffeimport::GraphBuilderRegistry::get().lookup(layer.type()))
{
graph_builder->build(layer, &opbuilder_context);
}
else
{
throw std::runtime_error{"Not supported: " + layer.type()};
}
}
// Finalize: Create output for each top blob
for (const auto &name : outputs())
{
const auto &shape = shape_ctx.at(name);
auto bag = bag_ctx.at(name);
auto output = module->entity()->output()->create(shape);
output->bag(bag);
output->name(name);
output->reorder<LexicalLayout>();
module->output()->insert(output);
}
enco::Bundle bundle;
bundle.module(std::move(module));
bundle.data(std::move(data));
return std::move(bundle);
}
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