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212 lines
7.3 KiB
C++
212 lines
7.3 KiB
C++
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018 Intel Corporation
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#include <iostream>
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#include <ade/util/zip_range.hpp>
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#include "opencv2/core/types.hpp"
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#include "executor/gexecutor.hpp"
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cv::gimpl::GExecutor::GExecutor(std::unique_ptr<ade::Graph> &&g_model)
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: m_orig_graph(std::move(g_model))
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, m_island_graph(GModel::Graph(*m_orig_graph).metadata()
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.get<IslandModel>().model)
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, m_gm(*m_orig_graph)
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, m_gim(*m_island_graph)
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{
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// NB: Right now GIslandModel is acyclic, so for a naive execution,
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// simple unrolling to a list of triggers is enough
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// Naive execution model is similar to current CPU (OpenCV) plugin
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// execution model:
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// 1. Allocate all internal resources first (NB - CPU plugin doesn't do it)
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// 2. Put input/output GComputation arguments to the storage
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// 3. For every Island, prepare vectors of input/output parameter descs
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// 4. Iterate over a list of operations (sorted in the topological order)
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// 5. For every operation, form a list of input/output data objects
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// 6. Run GIslandExecutable
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// 7. writeBack
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m_ops.reserve(m_gim.nodes().size());
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auto sorted = m_gim.metadata().get<ade::passes::TopologicalSortData>();
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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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// (3)
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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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m_ops.emplace_back(OpDesc{ 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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}
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break;
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case NodeKind::SLOT:
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{
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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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// (1)
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initResource(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:
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GAPI_Assert(false);
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break;
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} // switch(kind)
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} // for(gim nodes)
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}
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void cv::gimpl::GExecutor::initResource(const ade::NodeHandle &orig_nh)
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{
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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)
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return;
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// INTERNALS+CONST only! no need to allocate/reset output objects
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// to as it is bound externally (e.g. already in the m_res)
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switch (d.shape)
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{
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case GShape::GMAT:
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{
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const auto desc = util::get<cv::GMatDesc>(d.meta);
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const auto type = CV_MAKETYPE(desc.depth, desc.chan);
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m_res.slot<cv::gapi::own::Mat>()[d.rc].create(desc.size, type);
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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)
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{
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auto rc = RcDesc{d.rc, d.shape, d.ctor};
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magazine::bindInArg(m_res, 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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// Constructed on Reset, do nothing here
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break;
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default:
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GAPI_Assert(false);
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}
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}
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void cv::gimpl::GExecutor::run(cv::gimpl::GRuntimeArgs &&args)
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{
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// (2)
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const auto proto = m_gm.metadata().get<Protocol>();
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// Basic check if input/output arguments are correct
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// FIXME: Move to GCompiled (do once for all GExecutors)
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if (proto.inputs.size() != args.inObjs.size()) // TODO: Also check types
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{
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util::throw_error(std::logic_error
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("Computation's input protocol doesn\'t "
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"match actual arguments!"));
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}
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if (proto.outputs.size() != args.outObjs.size()) // TODO: Also check types
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{
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util::throw_error(std::logic_error
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("Computation's output protocol doesn\'t "
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"match actual arguments!"));
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}
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namespace util = ade::util;
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//ensure that output Mat parameters are correctly allocated
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for (auto index : util::iota(proto.out_nhs.size()) ) //FIXME: avoid copy of NodeHandle and GRunRsltComp ?
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{
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auto& nh = proto.out_nhs.at(index);
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const Data &d = m_gm.metadata(nh).get<Data>();
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if (d.shape == GShape::GMAT)
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{
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using cv::util::get;
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const auto desc = get<cv::GMatDesc>(d.meta);
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const auto type = CV_MAKETYPE(desc.depth, desc.chan);
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auto& out_mat = *get<cv::Mat*>(args.outObjs.at(index));
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out_mat.create(cv::gapi::own::to_ocv(desc.size), type);
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}
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}
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// Update storage with user-passed objects
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for (auto it : ade::util::zip(ade::util::toRange(proto.inputs),
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ade::util::toRange(args.inObjs)))
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{
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magazine::bindInArg(m_res, std::get<0>(it), std::get<1>(it));
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}
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for (auto it : ade::util::zip(ade::util::toRange(proto.outputs),
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ade::util::toRange(args.outObjs)))
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{
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magazine::bindOutArg(m_res, std::get<0>(it), std::get<1>(it));
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}
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// Reset internal data
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for (auto &sd : m_slots)
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{
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const auto& data = m_gm.metadata(sd.data_nh).get<Data>();
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magazine::resetInternalData(m_res, data);
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}
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// Run the script
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for (auto &op : m_ops)
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{
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// (5)
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using InObj = GIslandExecutable::InObj;
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using OutObj = GIslandExecutable::OutObj;
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std::vector<InObj> in_objs;
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std::vector<OutObj> out_objs;
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in_objs.reserve (op.in_objects.size());
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out_objs.reserve(op.out_objects.size());
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for (const auto &rc : op.in_objects)
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{
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in_objs.emplace_back(InObj{rc, magazine::getArg(m_res, rc)});
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}
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for (const auto &rc : op.out_objects)
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{
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out_objs.emplace_back(OutObj{rc, magazine::getObjPtr(m_res, rc)});
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}
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// (6)
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op.isl_exec->run(std::move(in_objs), std::move(out_objs));
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}
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// (7)
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for (auto it : ade::util::zip(ade::util::toRange(proto.outputs),
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ade::util::toRange(args.outObjs)))
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{
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magazine::writeBack(m_res, std::get<0>(it), std::get<1>(it));
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}
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}
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const cv::gimpl::GModel::Graph& cv::gimpl::GExecutor::model() const
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{
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return m_gm;
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}
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