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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 "ONNXNodeConverterRegistry.h"
#include <memory>
namespace mir_onnx
{
void ModelContext::setDomainOpsetVersion(const std::string &domain, const int64_t opset_version)
{
_domainToOpsetVersion.emplace(domain, opset_version);
}
int64_t ModelContext::getDomainOpsetVersion(const std::string &domain) const
{
auto iter = _domainToOpsetVersion.find(domain);
if (iter == _domainToOpsetVersion.end())
throw std::runtime_error("Didn't have domain " + domain + "!");
return iter->second;
}
ModelContext::ModelContext(const onnx::ModelProto *model)
{
if (model == nullptr)
{
throw std::runtime_error{"Model should be imported before importer prepare"};
}
if (model->ir_version() > onnx::IR_VERSION)
{
throw std::runtime_error("IR version " + std::to_string(model->ir_version()) +
" is not supported yet.");
}
// Set Opset Version for each domain
for (const auto &op_set : model->opset_import())
{
setDomainOpsetVersion(op_set.domain(), op_set.version());
}
}
// ConverterContext
ConverterContext::ConverterContext(mir::Graph *graph) : _graph(graph) {}
void ConverterContext::setOutput(const std::string &name, mir::Operation::Output *output)
{
output->setName(name);
auto result = _tensorNameToOutput.emplace(name, output);
if (!result.second)
throw std::runtime_error("Name duplication: " + name);
}
mir::Operation::Output *ConverterContext::getOutput(const std::string &name) const
{
auto iter = _tensorNameToOutput.find(name);
if (iter == _tensorNameToOutput.end())
return nullptr;
else
return iter->second;
}
std::vector<mir::Operation::Output *>
ConverterContext::getNodeInputs(const onnx::NodeProto &onnx_node) const
{
const auto &input_names = onnx_node.input();
std::vector<mir::Operation::Output *> outputs;
for (const auto &input_name : input_names)
{
if (!input_name.empty())
{
auto *mir_output = getOutput(input_name);
assert(mir_output != nullptr);
outputs.emplace_back(mir_output);
}
}
return outputs;
}
void ConverterContext::setNodeOutputs(const onnx::NodeProto &onnx_node,
const std::vector<mir::Operation::Output *> &outputs)
{
assert(!outputs.empty());
for (std::size_t i = 0; i < outputs.size(); ++i)
{
setOutput(onnx_node.output(i), outputs[i]);
}
}
// NodeConverterRegistry
NodeConverterRegistry::ConverterFunc NodeConverterRegistry::lookup(const std::string &optype,
int64_t opset) const
{
auto it = _converter_map.find(optype);
if (it == _converter_map.end())
{
return nullptr;
}
const VersionMap &conv_map = it->second;
auto res = std::lower_bound(
conv_map.crbegin(), conv_map.crend(), opset,
[](const VersionMap::value_type &pair, int64_t opset) { return pair.first > opset; });
if (res == conv_map.crend())
{
return nullptr;
}
return res->second;
}
NodeConverterRegistry &NodeConverterRegistry::getInstance()
{
static NodeConverterRegistry instance;
return instance;
}
void NodeConverterRegistry::registerConverter(const std::string &op_type, int64_t opset,
NodeConverterRegistry::ConverterFunc conv)
{
_converter_map[op_type].emplace(opset, conv);
}
} // namespace mir_onnx
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