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#include "precomp.hpp"
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#include <ade/util/zip_range.hpp>
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#include <opencv2/gapi/opencv_includes.hpp>
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#include "api/gproto_priv.hpp"
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#include "executor/gthreadedexecutor.hpp"
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#include "compiler/passes/passes.hpp"
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namespace cv {
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namespace gimpl {
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namespace magazine {
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namespace {
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void bindInArgExec(Mag& mag, const RcDesc &rc, const GRunArg &arg) {
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if (rc.shape != GShape::GMAT) {
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bindInArg(mag, rc, arg);
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return;
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}
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auto& mag_rmat = mag.template slot<cv::RMat>()[rc.id];
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switch (arg.index()) {
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case GRunArg::index_of<Mat>() :
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mag_rmat = make_rmat<RMatOnMat>(util::get<Mat>(arg));
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break;
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case GRunArg::index_of<cv::RMat>() :
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mag_rmat = util::get<cv::RMat>(arg);
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break;
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default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
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}
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mag.meta<cv::RMat>()[rc.id] = arg.meta;
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}
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void bindOutArgExec(Mag& mag, const RcDesc &rc, const GRunArgP &arg) {
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if (rc.shape != GShape::GMAT) {
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bindOutArg(mag, rc, arg);
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return;
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}
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auto& mag_rmat = mag.template slot<cv::RMat>()[rc.id];
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switch (arg.index()) {
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case GRunArgP::index_of<Mat*>() :
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mag_rmat = make_rmat<RMatOnMat>(*util::get<Mat*>(arg)); break;
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case GRunArgP::index_of<cv::RMat*>() :
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mag_rmat = *util::get<cv::RMat*>(arg); break;
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default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
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}
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}
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cv::GRunArgP getObjPtrExec(Mag& mag, const RcDesc &rc) {
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if (rc.shape != GShape::GMAT) {
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return getObjPtr(mag, rc);
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}
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return GRunArgP(&mag.slot<cv::RMat>()[rc.id]);
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}
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void writeBackExec(const Mag& mag, const RcDesc &rc, GRunArgP &g_arg) {
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if (rc.shape != GShape::GMAT) {
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writeBack(mag, rc, g_arg);
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return;
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}
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switch (g_arg.index()) {
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case GRunArgP::index_of<cv::Mat*>() : {
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auto& out_mat = *util::get<cv::Mat*>(g_arg);
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const auto& rmat = mag.template slot<cv::RMat>().at(rc.id);
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auto* adapter = rmat.get<RMatOnMat>();
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if ((adapter != nullptr && out_mat.data != adapter->data()) ||
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(adapter == nullptr)) {
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auto view = rmat.access(RMat::Access::R);
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asMat(view).copyTo(out_mat);
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}
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break;
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}
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case GRunArgP::index_of<cv::RMat*>() : break;
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default: util::throw_error(std::logic_error("content type of the runtime argument does not match to resource description ?"));
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}
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}
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void assignMetaStubExec(Mag& mag, const RcDesc &rc, const cv::GRunArg::Meta &meta) {
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switch (rc.shape) {
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case GShape::GARRAY: mag.meta<cv::detail::VectorRef>()[rc.id] = meta; break;
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case GShape::GOPAQUE: mag.meta<cv::detail::OpaqueRef>()[rc.id] = meta; break;
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case GShape::GSCALAR: mag.meta<cv::Scalar>()[rc.id] = meta; break;
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case GShape::GFRAME: mag.meta<cv::MediaFrame>()[rc.id] = meta; break;
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case GShape::GMAT:
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mag.meta<cv::Mat>() [rc.id] = meta;
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mag.meta<cv::RMat>()[rc.id] = meta;
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#if !defined(GAPI_STANDALONE)
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mag.meta<cv::UMat>()[rc.id] = meta;
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#endif
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break;
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default: util::throw_error(std::logic_error("Unsupported GShape type")); break;
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}
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}
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}
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}}}
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cv::gimpl::StreamMsg cv::gimpl::GThreadedExecutor::Input::get() {
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std::lock_guard<std::mutex> lock{m_state.m};
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cv::GRunArgs res;
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for (const auto &rc : desc()) { res.emplace_back(magazine::getArg(m_state.mag, rc)); }
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return cv::gimpl::StreamMsg{std::move(res)};
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}
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cv::gimpl::GThreadedExecutor::Input::Input(cv::gimpl::GraphState &state,
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const std::vector<RcDesc> &rcs)
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: m_state(state) {
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set(rcs);
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};
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cv::GRunArgP cv::gimpl::GThreadedExecutor::Output::get(int idx) {
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std::lock_guard<std::mutex> lock{m_state.m};
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auto r = magazine::getObjPtrExec(m_state.mag, desc()[idx]);
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m_out_idx[cv::gimpl::proto::ptr(r)] = idx;
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return r;
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}
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void cv::gimpl::GThreadedExecutor::Output::post(cv::GRunArgP&&, const std::exception_ptr& e) {
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if (e) {
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m_eptr = e;
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}
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}
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void cv::gimpl::GThreadedExecutor::Output::post(Exception&& ex) {
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m_eptr = std::move(ex.eptr);
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}
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void cv::gimpl::GThreadedExecutor::Output::meta(const GRunArgP &out, const GRunArg::Meta &m) {
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const auto idx = m_out_idx.at(cv::gimpl::proto::ptr(out));
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std::lock_guard<std::mutex> lock{m_state.m};
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magazine::assignMetaStubExec(m_state.mag, desc()[idx], m);
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}
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cv::gimpl::GThreadedExecutor::Output::Output(cv::gimpl::GraphState &state,
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const std::vector<RcDesc> &rcs)
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: m_state(state) {
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set(rcs);
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}
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void cv::gimpl::GThreadedExecutor::Output::verify() {
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if (m_eptr) {
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std::rethrow_exception(m_eptr);
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}
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}
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void cv::gimpl::GThreadedExecutor::initResource(const ade::NodeHandle &nh, const ade::NodeHandle &orig_nh) {
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const Data &d = m_gm.metadata(orig_nh).get<Data>();
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if ( d.storage != Data::Storage::INTERNAL
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&& d.storage != Data::Storage::CONST_VAL) {
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return;
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}
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switch (d.shape) {
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case GShape::GMAT:
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if (d.storage == Data::Storage::CONST_VAL) {
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auto rc = RcDesc{d.rc, d.shape, d.ctor};
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magazine::bindInArgExec(m_state.mag, rc, m_gm.metadata(orig_nh).get<ConstValue>().arg);
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} else {
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GAPI_Assert(!nh->inNodes().empty());
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const auto desc = util::get<cv::GMatDesc>(d.meta);
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auto& exec = m_gim.metadata(nh->inNodes().front()).get<IslandExec>().object;
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auto& rmat = m_state.mag.slot<cv::RMat>()[d.rc];
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if (exec->allocatesOutputs()) {
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rmat = exec->allocate(desc);
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} else {
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Mat mat;
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createMat(desc, mat);
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rmat = make_rmat<RMatOnMat>(mat);
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}
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}
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break;
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case GShape::GSCALAR:
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if (d.storage == Data::Storage::CONST_VAL) {
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auto rc = RcDesc{d.rc, d.shape, d.ctor};
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magazine::bindInArg(m_state.mag, rc, m_gm.metadata(orig_nh).get<ConstValue>().arg);
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}
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break;
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case GShape::GARRAY:
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if (d.storage == Data::Storage::CONST_VAL) {
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auto rc = RcDesc{d.rc, d.shape, d.ctor};
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magazine::bindInArg(m_state.mag, rc, m_gm.metadata(orig_nh).get<ConstValue>().arg);
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}
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break;
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case GShape::GOPAQUE:
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break;
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case GShape::GFRAME: {
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break;
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}
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default:
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GAPI_Error("InternalError");
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}
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}
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cv::gimpl::IslandActor::IslandActor(const std::vector<RcDesc> &in_objects,
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const std::vector<RcDesc> &out_objects,
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std::shared_ptr<GIslandExecutable> isl_exec,
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cv::gimpl::GraphState &state)
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: m_isl_exec(isl_exec),
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m_inputs(state, in_objects),
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m_outputs(state, out_objects) {
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}
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void cv::gimpl::IslandActor::run() {
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m_isl_exec->run(m_inputs, m_outputs);
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}
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void cv::gimpl::IslandActor::verify() {
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m_outputs.verify();
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};
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class cv::gimpl::Task {
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friend class TaskManager;
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public:
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using Ptr = std::shared_ptr<Task>;
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Task(TaskManager::F&& f, std::vector<Task::Ptr> &&producers);
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struct ExecutionState {
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cv::gapi::own::ThreadPool& tp;
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cv::gapi::own::Latch& latch;
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};
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void run(ExecutionState& state);
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bool isLast() const { return m_consumers.empty(); }
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void reset() { m_ready_producers.store(0u); }
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private:
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TaskManager::F m_f;
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const uint32_t m_num_producers;
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std::atomic<uint32_t> m_ready_producers;
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std::vector<Task*> m_consumers;
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};
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cv::gimpl::Task::Task(TaskManager::F &&f,
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std::vector<Task::Ptr> &&producers)
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: m_f(std::move(f)),
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m_num_producers(static_cast<uint32_t>(producers.size())) {
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for (auto producer : producers) {
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producer->m_consumers.push_back(this);
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}
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}
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void cv::gimpl::Task::run(ExecutionState& state) {
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m_f();
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for (auto* consumer : m_consumers) {
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const auto num_ready =
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consumer->m_ready_producers.fetch_add(1, std::memory_order_relaxed) + 1;
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if (num_ready == consumer->m_num_producers) {
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state.tp.schedule([&state, consumer](){
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consumer->run(state);
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});
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}
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}
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if (isLast()) {
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state.latch.count_down();
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}
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}
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std::shared_ptr<cv::gimpl::Task>
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cv::gimpl::TaskManager::createTask(cv::gimpl::TaskManager::F &&f,
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std::vector<std::shared_ptr<cv::gimpl::Task>> &&producers) {
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const bool is_initial = producers.empty();
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auto task = std::make_shared<cv::gimpl::Task>(std::move(f),
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std::move(producers));
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m_all_tasks.emplace_back(task);
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if (is_initial) {
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m_initial_tasks.emplace_back(task);
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}
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return task;
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}
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void cv::gimpl::TaskManager::scheduleAndWait(cv::gapi::own::ThreadPool& tp) {
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for (auto& task : m_all_tasks) { task->reset(); }
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auto isLast = [](const std::shared_ptr<Task>& task) { return task->isLast(); };
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const auto kNumLastsTasks =
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std::count_if(m_all_tasks.begin(), m_all_tasks.end(), isLast);
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cv::gapi::own::Latch latch(kNumLastsTasks);
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Task::ExecutionState state{tp, latch};
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for (auto task : m_initial_tasks) {
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state.tp.schedule([&state, task](){ task->run(state); });
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}
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latch.wait();
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}
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cv::gimpl::GThreadedExecutor::GThreadedExecutor(const uint32_t num_threads,
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std::unique_ptr<ade::Graph> &&g_model)
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: GAbstractExecutor(std::move(g_model)),
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m_thread_pool(num_threads) {
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auto sorted = m_gim.metadata().get<ade::passes::TopologicalSortData>();
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std::unordered_map< ade::NodeHandle
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, std::shared_ptr<Task>
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, ade::HandleHasher<ade::Node>> m_tasks_map;
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for (auto nh : sorted.nodes())
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{
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switch (m_gim.metadata(nh).get<NodeKind>().k)
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{
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case NodeKind::ISLAND:
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{
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std::vector<RcDesc> input_rcs;
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std::vector<RcDesc> output_rcs;
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input_rcs.reserve(nh->inNodes().size());
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output_rcs.reserve(nh->outNodes().size());
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auto xtract = [&](ade::NodeHandle slot_nh, std::vector<RcDesc> &vec) {
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const auto orig_data_nh
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= m_gim.metadata(slot_nh).get<DataSlot>().original_data_node;
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const auto &orig_data_info
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= m_gm.metadata(orig_data_nh).get<Data>();
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vec.emplace_back(RcDesc{ orig_data_info.rc
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, orig_data_info.shape
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, orig_data_info.ctor});
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};
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for (auto in_slot_nh : nh->inNodes()) xtract(in_slot_nh, input_rcs);
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for (auto out_slot_nh : nh->outNodes()) xtract(out_slot_nh, output_rcs);
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auto actor = std::make_shared<IslandActor>(std::move(input_rcs),
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std::move(output_rcs),
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m_gim.metadata(nh).get<IslandExec>().object,
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m_state);
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m_actors.push_back(actor);
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std::unordered_set<ade::NodeHandle, ade::HandleHasher<ade::Node>> producer_nhs;
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for (auto slot_nh : nh->inNodes()) {
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for (auto island_nh : slot_nh->inNodes()) {
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GAPI_Assert(m_gim.metadata(island_nh).get<NodeKind>().k == NodeKind::ISLAND);
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producer_nhs.emplace(island_nh);
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}
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}
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|
std::vector<std::shared_ptr<Task>> producers;
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producers.reserve(producer_nhs.size());
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for (auto producer_nh : producer_nhs) {
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producers.push_back(m_tasks_map.at(producer_nh));
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}
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|
auto task = m_task_manager.createTask(
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[actor](){actor->run();}, std::move(producers));
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m_tasks_map.emplace(nh, task);
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}
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|
break;
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|
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|
|
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case NodeKind::SLOT:
|
|
|
{
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|
const auto orig_data_nh
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|
= m_gim.metadata(nh).get<DataSlot>().original_data_node;
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initResource(nh, orig_data_nh);
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m_slots.emplace_back(DataDesc{nh, orig_data_nh});
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|
}
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|
break;
|
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|
default:
|
|
|
GAPI_Error("InternalError");
|
|
|
break;
|
|
|
}
|
|
|
}
|
|
|
|
|
|
prepareForNewStream();
|
|
|
}
|
|
|
|
|
|
void cv::gimpl::GThreadedExecutor::run(cv::gimpl::GRuntimeArgs &&args) {
|
|
|
const auto proto = m_gm.metadata().get<Protocol>();
|
|
|
|
|
|
|
|
|
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|
|
if (proto.inputs.size() != args.inObjs.size()) {
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|
|
util::throw_error(std::logic_error
|
|
|
("Computation's input protocol doesn\'t "
|
|
|
"match actual arguments!"));
|
|
|
}
|
|
|
if (proto.outputs.size() != args.outObjs.size()) {
|
|
|
util::throw_error(std::logic_error
|
|
|
("Computation's output protocol doesn\'t "
|
|
|
"match actual arguments!"));
|
|
|
}
|
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|
|
|
namespace util = ade::util;
|
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for (auto index : util::iota(proto.out_nhs.size())) {
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|
auto& nh = proto.out_nhs.at(index);
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|
const Data &d = m_gm.metadata(nh).get<Data>();
|
|
|
if (d.shape == GShape::GMAT) {
|
|
|
using cv::util::get;
|
|
|
const auto desc = get<cv::GMatDesc>(d.meta);
|
|
|
|
|
|
auto check_rmat = [&desc, &args, &index]() {
|
|
|
auto& out_mat = *get<cv::RMat*>(args.outObjs.at(index));
|
|
|
GAPI_Assert(desc.canDescribe(out_mat));
|
|
|
};
|
|
|
|
|
|
#if !defined(GAPI_STANDALONE)
|
|
|
|
|
|
|
|
|
|
|
|
if (cv::util::holds_alternative<cv::Mat*>(args.outObjs.at(index))) {
|
|
|
auto& out_mat = *get<cv::Mat*>(args.outObjs.at(index));
|
|
|
createMat(desc, out_mat);
|
|
|
}
|
|
|
|
|
|
else {
|
|
|
check_rmat();
|
|
|
}
|
|
|
#else
|
|
|
|
|
|
|
|
|
if (cv::util::holds_alternative<cv::Mat*>(args.outObjs.at(index))) {
|
|
|
auto& out_mat = *get<cv::Mat*>(args.outObjs.at(index));
|
|
|
GAPI_Assert(out_mat.data != nullptr &&
|
|
|
desc.canDescribe(out_mat));
|
|
|
}
|
|
|
|
|
|
else {
|
|
|
check_rmat();
|
|
|
}
|
|
|
#endif
|
|
|
}
|
|
|
}
|
|
|
|
|
|
for (auto it : ade::util::zip(ade::util::toRange(proto.inputs),
|
|
|
ade::util::toRange(args.inObjs))) {
|
|
|
magazine::bindInArgExec(m_state.mag, std::get<0>(it), std::get<1>(it));
|
|
|
}
|
|
|
for (auto it : ade::util::zip(ade::util::toRange(proto.outputs),
|
|
|
ade::util::toRange(args.outObjs))) {
|
|
|
magazine::bindOutArgExec(m_state.mag, std::get<0>(it), std::get<1>(it));
|
|
|
}
|
|
|
|
|
|
|
|
|
for (auto &sd : m_slots) {
|
|
|
const auto& data = m_gm.metadata(sd.data_nh).get<Data>();
|
|
|
magazine::resetInternalData(m_state.mag, data);
|
|
|
}
|
|
|
|
|
|
m_task_manager.scheduleAndWait(m_thread_pool);
|
|
|
for (auto actor : m_actors) {
|
|
|
actor->verify();
|
|
|
}
|
|
|
for (auto it : ade::util::zip(ade::util::toRange(proto.outputs),
|
|
|
ade::util::toRange(args.outObjs))) {
|
|
|
magazine::writeBackExec(m_state.mag, std::get<0>(it), std::get<1>(it));
|
|
|
}
|
|
|
}
|
|
|
|
|
|
bool cv::gimpl::GThreadedExecutor::canReshape() const {
|
|
|
for (auto actor : m_actors) {
|
|
|
if (actor->exec()->canReshape()) {
|
|
|
return false;
|
|
|
}
|
|
|
}
|
|
|
return true;
|
|
|
}
|
|
|
|
|
|
void cv::gimpl::GThreadedExecutor::reshape(const GMetaArgs& inMetas, const GCompileArgs& args) {
|
|
|
GAPI_Assert(canReshape());
|
|
|
auto& g = *m_orig_graph.get();
|
|
|
ade::passes::PassContext ctx{g};
|
|
|
passes::initMeta(ctx, inMetas);
|
|
|
passes::inferMeta(ctx, true);
|
|
|
|
|
|
|
|
|
for (auto slot : m_slots) {
|
|
|
initResource(slot.slot_nh, slot.data_nh);
|
|
|
}
|
|
|
|
|
|
for (auto actor : m_actors) {
|
|
|
actor->exec()->reshape(g, args);
|
|
|
}
|
|
|
}
|
|
|
|
|
|
void cv::gimpl::GThreadedExecutor::prepareForNewStream() {
|
|
|
for (auto actor : m_actors) {
|
|
|
actor->exec()->handleNewStream();
|
|
|
}
|
|
|
}
|
|
|
|