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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018-2021 Intel Corporation
#include "precomp.hpp"
#include <iostream> // cerr
#include <functional> // hash
#include <numeric> // accumulate
#include <ade/util/algorithm.hpp>
#include "logger.hpp"
#include <opencv2/gapi/gkernel.hpp>
#include "api/gbackend_priv.hpp"
// GKernelPackage public implementation ////////////////////////////////////////
void cv::GKernelPackage::remove(const cv::gapi::GBackend& backend)
{
std::vector<std::string> id_deleted_kernels;
for (const auto& p : m_id_kernels)
{
if (p.second.first == backend)
{
id_deleted_kernels.push_back(p.first);
}
}
for (const auto& kernel_id : id_deleted_kernels)
{
m_id_kernels.erase(kernel_id);
}
}
void cv::GKernelPackage::include(const cv::gapi::GFunctor& functor)
{
m_id_kernels[functor.id()] = std::make_pair(functor.backend(), functor.impl());
}
void cv::GKernelPackage::include(const cv::gapi::GBackend& backend, const std::string& kernel_id)
{
removeAPI(kernel_id);
m_id_kernels[kernel_id] = std::make_pair(backend, GKernelImpl{{}, {}});
}
bool cv::GKernelPackage::includesAPI(const std::string &id) const
{
return ade::util::contains(m_id_kernels, id);
}
void cv::GKernelPackage::removeAPI(const std::string &id)
{
m_id_kernels.erase(id);
}
std::size_t cv::GKernelPackage::size() const
{
return m_id_kernels.size();
}
const std::vector<cv::GTransform> &cv::GKernelPackage::get_transformations() const
{
return m_transformations;
}
std::vector<std::string> cv::GKernelPackage::get_kernel_ids() const
{
std::vector<std::string> ids;
for (auto &&id : m_id_kernels)
{
ids.emplace_back(id.first);
}
return ids;
}
cv::GKernelPackage cv::gapi::combine(const cv::GKernelPackage &lhs,
const cv::GKernelPackage &rhs)
{
// If there is a collision, prefer RHS to LHS
// since RHS package has a precedense, start with its copy
cv::GKernelPackage result(rhs);
// now iterate over LHS package and put kernel if and only
// if there's no such one
for (const auto& kernel : lhs.m_id_kernels)
{
if (!result.includesAPI(kernel.first))
{
result.m_id_kernels.emplace(kernel.first, kernel.second);
}
}
for (const auto &transforms : lhs.m_transformations){
result.m_transformations.push_back(transforms);
}
return result;
}
std::pair<cv::gapi::GBackend, cv::GKernelImpl>
cv::GKernelPackage::lookup(const std::string &id) const
{
auto kernel_it = m_id_kernels.find(id);
if (kernel_it != m_id_kernels.end())
{
return kernel_it->second;
}
// If reached here, kernel was not found.
util::throw_error(std::logic_error("Kernel " + id + " was not found"));
}
std::vector<cv::gapi::GBackend> cv::GKernelPackage::backends() const
{
using kernel_type = std::pair<std::string, std::pair<cv::gapi::GBackend, cv::GKernelImpl>>;
std::unordered_set<cv::gapi::GBackend> unique_set;
ade::util::transform(m_id_kernels, std::inserter(unique_set, unique_set.end()),
[](const kernel_type& k) { return k.second.first; });
return std::vector<cv::gapi::GBackend>(unique_set.begin(), unique_set.end());
}
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