750 lines
27 KiB
C++
750 lines
27 KiB
C++
// 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) 2018-2021 Intel Corporation
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#ifndef OPENCV_GAPI_GKERNEL_HPP
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#define OPENCV_GAPI_GKERNEL_HPP
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#include <functional>
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#include <iostream>
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#include <string> // string
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#include <type_traits> // false_type, true_type
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#include <unordered_map> // map (for GKernelPackage)
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#include <utility> // tuple
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#include <opencv2/gapi/gcommon.hpp> // CompileArgTag
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#include <opencv2/gapi/util/util.hpp> // Seq
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#include <opencv2/gapi/gcall.hpp>
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#include <opencv2/gapi/garg.hpp> // GArg
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#include <opencv2/gapi/gmetaarg.hpp> // GMetaArg
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#include <opencv2/gapi/gtype_traits.hpp> // GTypeTraits
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#include <opencv2/gapi/util/compiler_hints.hpp> //suppress_unused_warning
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#include <opencv2/gapi/gtransform.hpp>
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namespace cv {
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struct GTypeInfo
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{
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GShape shape;
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cv::detail::OpaqueKind kind;
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detail::HostCtor ctor;
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};
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using GShapes = std::vector<GShape>;
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using GKinds = std::vector<cv::detail::OpaqueKind>;
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using GCtors = std::vector<detail::HostCtor>;
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using GTypesInfo = std::vector<GTypeInfo>;
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// GKernel describes kernel API to the system
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// FIXME: add attributes of a kernel, (e.g. number and types
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// of inputs, etc)
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struct GAPI_EXPORTS GKernel
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{
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using M = std::function<GMetaArgs(const GMetaArgs &, const GArgs &)>;
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std::string name; // kernel ID, defined by its API (signature)
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std::string tag; // some (implementation-specific) tag
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M outMeta; // generic adaptor to API::outMeta(...)
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GShapes outShapes; // types (shapes) kernel's outputs
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GKinds inKinds; // kinds of kernel's inputs (fixme: below)
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GCtors outCtors; // captured constructors for template output types
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};
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// TODO: It's questionable if inKinds should really be here. Instead,
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// this information could come from meta.
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// GKernelImpl describes particular kernel implementation to the system
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struct GAPI_EXPORTS GKernelImpl
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{
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util::any opaque; // backend-specific opaque info
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GKernel::M outMeta; // for deserialized graphs, the outMeta is taken here
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};
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template<typename, typename> class GKernelTypeM;
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namespace detail
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{
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////////////////////////////////////////////////////////////////////////////
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// yield() is used in graph construction time as a generic method to obtain
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// lazy "return value" of G-API operations
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//
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template<typename T> struct Yield;
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template<> struct Yield<cv::GMat>
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{
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static inline cv::GMat yield(cv::GCall &call, int i) { return call.yield(i); }
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};
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template<> struct Yield<cv::GMatP>
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{
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static inline cv::GMatP yield(cv::GCall &call, int i) { return call.yieldP(i); }
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};
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template<> struct Yield<cv::GScalar>
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{
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static inline cv::GScalar yield(cv::GCall &call, int i) { return call.yieldScalar(i); }
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};
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template<typename U> struct Yield<cv::GArray<U> >
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{
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static inline cv::GArray<U> yield(cv::GCall &call, int i) { return call.yieldArray<U>(i); }
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};
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template<typename U> struct Yield<cv::GOpaque<U> >
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{
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static inline cv::GOpaque<U> yield(cv::GCall &call, int i) { return call.yieldOpaque<U>(i); }
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};
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template<> struct Yield<GFrame>
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{
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static inline cv::GFrame yield(cv::GCall &call, int i) { return call.yieldFrame(i); }
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};
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////////////////////////////////////////////////////////////////////////////
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// Helper classes which brings outputMeta() marshalling to kernel
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// implementations
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//
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// 1. MetaType establishes G#Type -> G#Meta mapping between G-API dynamic
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// types and its metadata descriptor types.
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// This mapping is used to transform types to call outMeta() callback.
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template<typename T> struct MetaType;
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template<> struct MetaType<cv::GMat> { using type = GMatDesc; };
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template<> struct MetaType<cv::GMatP> { using type = GMatDesc; };
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template<> struct MetaType<cv::GFrame> { using type = GFrameDesc; };
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template<> struct MetaType<cv::GScalar> { using type = GScalarDesc; };
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template<typename U> struct MetaType<cv::GArray<U> > { using type = GArrayDesc; };
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template<typename U> struct MetaType<cv::GOpaque<U> > { using type = GOpaqueDesc; };
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template<typename T> struct MetaType { using type = T; }; // opaque args passed as-is
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// FIXME: Move it to type traits?
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// 2. Hacky test based on MetaType to check if we operate on G-* type or not
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template<typename T> using is_nongapi_type = std::is_same<T, typename MetaType<T>::type>;
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// 3. Two ways to transform input arguments to its meta - for G-* and non-G* types:
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template<typename T>
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typename std::enable_if<!is_nongapi_type<T>::value, typename MetaType<T>::type>
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::type get_in_meta(const GMetaArgs &in_meta, const GArgs &, int idx)
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{
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return util::get<typename MetaType<T>::type>(in_meta.at(idx));
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}
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template<typename T>
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typename std::enable_if<is_nongapi_type<T>::value, T>
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::type get_in_meta(const GMetaArgs &, const GArgs &in_args, int idx)
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{
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return in_args.at(idx).template get<T>();
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}
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// 4. The MetaHelper itself: an entity which generates outMeta() call
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// based on kernel signature, with arguments properly substituted.
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// 4.1 - case for multiple return values
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// FIXME: probably can be simplified with std::apply or analogue.
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template<typename, typename, typename>
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struct MetaHelper;
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template<typename K, typename... Ins, typename... Outs>
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struct MetaHelper<K, std::tuple<Ins...>, std::tuple<Outs...> >
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{
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template<int... IIs, int... OIs>
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static GMetaArgs getOutMeta_impl(const GMetaArgs &in_meta,
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const GArgs &in_args,
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detail::Seq<IIs...>,
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detail::Seq<OIs...>)
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{
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// FIXME: decay?
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using R = std::tuple<typename MetaType<Outs>::type...>;
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const R r = K::outMeta( get_in_meta<Ins>(in_meta, in_args, IIs)... );
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return GMetaArgs{ GMetaArg(std::get<OIs>(r))... };
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}
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// FIXME: help users identify how outMeta must look like (via default impl w/static_assert?)
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static GMetaArgs getOutMeta(const GMetaArgs &in_meta,
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const GArgs &in_args)
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{
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return getOutMeta_impl(in_meta,
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in_args,
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typename detail::MkSeq<sizeof...(Ins)>::type(),
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typename detail::MkSeq<sizeof...(Outs)>::type());
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}
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};
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// 4.1 - case for a single return value
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// FIXME: How to avoid duplication here?
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template<typename K, typename... Ins, typename Out>
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struct MetaHelper<K, std::tuple<Ins...>, Out >
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{
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template<int... IIs>
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static GMetaArgs getOutMeta_impl(const GMetaArgs &in_meta,
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const GArgs &in_args,
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detail::Seq<IIs...>)
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{
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// FIXME: decay?
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using R = typename MetaType<Out>::type;
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const R r = K::outMeta( get_in_meta<Ins>(in_meta, in_args, IIs)... );
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return GMetaArgs{ GMetaArg(r) };
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}
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// FIXME: help users identify how outMeta must look like (via default impl w/static_assert?)
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static GMetaArgs getOutMeta(const GMetaArgs &in_meta,
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const GArgs &in_args)
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{
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return getOutMeta_impl(in_meta,
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in_args,
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typename detail::MkSeq<sizeof...(Ins)>::type());
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}
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};
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////////////////////////////////////////////////////////////////////////////
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// Helper class to introduce tags to calls. By default there's no tag
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struct NoTag {
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static constexpr const char *tag() { return ""; }
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};
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} // namespace detail
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// GKernelType and GKernelTypeM are base classes which implement typed ::on()
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// method based on kernel signature. GKernelTypeM stands for multiple-return-value kernels
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//
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// G_TYPED_KERNEL and G_TYPED_KERNEL_M macros inherit user classes from GKernelType and
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// GKernelTypeM respectively.
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template<typename K, typename... R, typename... Args>
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class GKernelTypeM<K, std::function<std::tuple<R...>(Args...)> >
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: public detail::MetaHelper<K, std::tuple<Args...>, std::tuple<R...>>
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, public detail::NoTag
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{
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template<int... IIs>
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static std::tuple<R...> yield(cv::GCall &call, detail::Seq<IIs...>)
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{
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return std::make_tuple(detail::Yield<R>::yield(call, IIs)...);
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}
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public:
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using InArgs = std::tuple<Args...>;
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using OutArgs = std::tuple<R...>;
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// TODO: Args&&... here?
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static std::tuple<R...> on(Args... args)
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{
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cv::GCall call(GKernel{ K::id()
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, K::tag()
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, &K::getOutMeta
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, {detail::GTypeTraits<R>::shape...}
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, {detail::GTypeTraits<Args>::op_kind...}
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, {detail::GObtainCtor<R>::get()...}});
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call.pass(args...); // TODO: std::forward() here?
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return yield(call, typename detail::MkSeq<sizeof...(R)>::type());
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}
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};
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template<typename, typename> class GKernelType;
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template<typename K, typename R, typename... Args>
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class GKernelType<K, std::function<R(Args...)> >
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: public detail::MetaHelper<K, std::tuple<Args...>, R>
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, public detail::NoTag
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{
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public:
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using InArgs = std::tuple<Args...>;
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using OutArgs = std::tuple<R>;
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static R on(Args... args)
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{
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cv::GCall call(GKernel{ K::id()
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, K::tag()
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, &K::getOutMeta
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, {detail::GTypeTraits<R>::shape}
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, {detail::GTypeTraits<Args>::op_kind...}
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, {detail::GObtainCtor<R>::get()}});
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call.pass(args...);
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return detail::Yield<R>::yield(call, 0);
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}
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};
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namespace detail {
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// This tiny class eliminates the semantic difference between
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// GKernelType and GKernelTypeM.
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template<typename, typename> class KernelTypeMedium;
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template<typename K, typename... R, typename... Args>
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class KernelTypeMedium<K, std::function<std::tuple<R...>(Args...)>> :
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public cv::GKernelTypeM<K, std::function<std::tuple<R...>(Args...)>> {};
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template<typename K, typename R, typename... Args>
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class KernelTypeMedium<K, std::function<R(Args...)>> :
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public cv::GKernelType<K, std::function<R(Args...)>> {};
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} // namespace detail
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} // namespace cv
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// FIXME: I don't know a better way so far. Feel free to suggest one
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// The problem is that every typed kernel should have ::id() but body
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// of the class is defined by user (with outMeta, other stuff)
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//! @cond IGNORED
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#define G_ID_HELPER_CLASS(Class) Class##IdHelper
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#define G_ID_HELPER_BODY(Class, Id) \
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struct G_ID_HELPER_CLASS(Class) \
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{ \
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static constexpr const char * id() {return Id;} \
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}; \
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//! @endcond
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#define GET_G_TYPED_KERNEL(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, NAME, ...) NAME
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#define COMBINE_SIGNATURE(...) __VA_ARGS__
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// Ensure correct __VA_ARGS__ expansion on Windows
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#define __WRAP_VAARGS(x) x
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/**
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* Helper for G_TYPED_KERNEL declares a new G-API Operation. See [Kernel API](@ref gapi_kernel_api)
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* for more details.
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*
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* @param Class type name for this operation.
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* @param API an `std::function<>`-like signature for the operation;
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* return type is a single value or a tuple of multiple values.
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* @param Id string identifier for the operation. Must be unique.
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*/
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#define G_TYPED_KERNEL_HELPER(Class, API, Id) \
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G_ID_HELPER_BODY(Class, Id) \
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struct Class final: public cv::detail::KernelTypeMedium<Class, std::function API >, \
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public G_ID_HELPER_CLASS(Class)
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// {body} is to be defined by user
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#define G_TYPED_KERNEL_HELPER_2(Class, _1, _2, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2), Id)
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#define G_TYPED_KERNEL_HELPER_3(Class, _1, _2, _3, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3), Id)
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#define G_TYPED_KERNEL_HELPER_4(Class, _1, _2, _3, _4, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4), Id)
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#define G_TYPED_KERNEL_HELPER_5(Class, _1, _2, _3, _4, _5, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5), Id)
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#define G_TYPED_KERNEL_HELPER_6(Class, _1, _2, _3, _4, _5, _6, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5, _6), Id)
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#define G_TYPED_KERNEL_HELPER_7(Class, _1, _2, _3, _4, _5, _6, _7, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5, _6, _7), Id)
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#define G_TYPED_KERNEL_HELPER_8(Class, _1, _2, _3, _4, _5, _6, _7, _8, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5, _6, _7, _8), Id)
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#define G_TYPED_KERNEL_HELPER_9(Class, _1, _2, _3, _4, _5, _6, _7, _8, _9, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5, _6, _7, _8, _9), Id)
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#define G_TYPED_KERNEL_HELPER_10(Class, _1, _2, _3, _4, _5, _6, _7, _8, _9, _10, Id) \
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G_TYPED_KERNEL_HELPER(Class, COMBINE_SIGNATURE(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10), Id)
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/**
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* Declares a new G-API Operation. See [Kernel API](@ref gapi_kernel_api)
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* for more details.
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*
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* @param Class type name for this operation.
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*/
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#define G_TYPED_KERNEL(Class, ...) __WRAP_VAARGS(GET_G_TYPED_KERNEL(__VA_ARGS__, \
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G_TYPED_KERNEL_HELPER_10, \
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G_TYPED_KERNEL_HELPER_9, \
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G_TYPED_KERNEL_HELPER_8, \
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G_TYPED_KERNEL_HELPER_7, \
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G_TYPED_KERNEL_HELPER_6, \
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G_TYPED_KERNEL_HELPER_5, \
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G_TYPED_KERNEL_HELPER_4, \
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G_TYPED_KERNEL_HELPER_3, \
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G_TYPED_KERNEL_HELPER_2, \
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G_TYPED_KERNEL_HELPER)(Class, __VA_ARGS__)) \
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/**
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* Declares a new G-API Operation. See [Kernel API](@ref gapi_kernel_api) for more details.
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*
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* @deprecated This macro is deprecated in favor of `G_TYPED_KERNEL` that is used for declaring any
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* G-API Operation.
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*
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* @param Class type name for this operation.
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*/
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#define G_TYPED_KERNEL_M G_TYPED_KERNEL
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#define G_API_OP G_TYPED_KERNEL
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#define G_API_OP_M G_API_OP
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namespace cv
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{
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namespace gapi
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{
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// Prework: model "Device" API before it gets to G-API headers.
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// FIXME: Don't mix with internal Backends class!
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/// @private
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class GAPI_EXPORTS GBackend
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{
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public:
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class Priv;
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// TODO: make it template (call `new` within??)
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GBackend();
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explicit GBackend(std::shared_ptr<Priv> &&p);
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Priv& priv();
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const Priv& priv() const;
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std::size_t hash() const;
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bool operator== (const GBackend &rhs) const;
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private:
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std::shared_ptr<Priv> m_priv;
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};
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inline bool operator != (const GBackend &lhs, const GBackend &rhs)
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{
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return !(lhs == rhs);
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}
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} // namespace gapi
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} // namespace cv
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namespace std
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{
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template<> struct hash<cv::gapi::GBackend>
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{
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std::size_t operator() (const cv::gapi::GBackend &b) const
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{
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return b.hash();
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}
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};
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} // namespace std
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namespace cv {
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namespace gapi {
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/// @private
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class GFunctor
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{
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public:
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virtual cv::GKernelImpl impl() const = 0;
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virtual cv::gapi::GBackend backend() const = 0;
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const char* id() const { return m_id; }
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virtual ~GFunctor() = default;
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protected:
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GFunctor(const char* id) : m_id(id) { };
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private:
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const char* m_id;
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};
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/** \addtogroup gapi_compile_args
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* @{
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*/
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// FIXME: Hide implementation
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/**
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* @brief A container class for heterogeneous kernel
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* implementation collections and graph transformations.
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*
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* GKernelPackage is a special container class which stores kernel
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* _implementations_ and graph _transformations_. Objects of this class
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* are created and passed to cv::GComputation::compile() to specify
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* which kernels to use and which transformations to apply in the
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* compiled graph. GKernelPackage may contain kernels of
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* different backends, e.g. be heterogeneous.
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*
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* The most easy way to create a kernel package is to use function
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* cv::gapi::kernels(). This template functions takes kernel
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* implementations in form of type list (variadic template) and
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* generates a kernel package atop of that.
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*
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* Kernel packages can be also generated programmatically, starting
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* with an empty package (created with the default constructor)
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|
* and then by populating it with kernels via call to
|
|
* GKernelPackage::include(). Note this method is also a template
|
|
* one since G-API kernel and transformation implementations are _types_,
|
|
* not objects.
|
|
*
|
|
* Finally, two kernel packages can be combined into a new one
|
|
* with function cv::gapi::combine().
|
|
*/
|
|
class GAPI_EXPORTS_W_SIMPLE GKernelPackage
|
|
{
|
|
|
|
/// @private
|
|
using M = std::unordered_map<std::string, std::pair<GBackend, GKernelImpl>>;
|
|
|
|
/// @private
|
|
M m_id_kernels;
|
|
|
|
/// @private
|
|
std::vector<GTransform> m_transformations;
|
|
|
|
protected:
|
|
/// @private
|
|
// Remove ALL implementations of the given API (identified by ID)
|
|
void removeAPI(const std::string &id);
|
|
|
|
/// @private
|
|
// Partial include() specialization for kernels
|
|
template <typename KImpl>
|
|
typename std::enable_if<(std::is_base_of<cv::detail::KernelTag, KImpl>::value), void>::type
|
|
includeHelper()
|
|
{
|
|
auto backend = KImpl::backend();
|
|
auto kernel_id = KImpl::API::id();
|
|
auto kernel_impl = GKernelImpl{KImpl::kernel(), &KImpl::API::getOutMeta};
|
|
removeAPI(kernel_id);
|
|
|
|
m_id_kernels[kernel_id] = std::make_pair(backend, kernel_impl);
|
|
}
|
|
|
|
/// @private
|
|
// Partial include() specialization for transformations
|
|
template <typename TImpl>
|
|
typename std::enable_if<(std::is_base_of<cv::detail::TransformTag, TImpl>::value), void>::type
|
|
includeHelper()
|
|
{
|
|
m_transformations.emplace_back(TImpl::transformation());
|
|
}
|
|
|
|
public:
|
|
void include(const GFunctor& functor)
|
|
{
|
|
m_id_kernels[functor.id()] = std::make_pair(functor.backend(), functor.impl());
|
|
}
|
|
/**
|
|
* @brief Returns total number of kernels
|
|
* in the package (across all backends included)
|
|
*
|
|
* @return a number of kernels in the package
|
|
*/
|
|
std::size_t size() const;
|
|
|
|
/**
|
|
* @brief Returns vector of transformations included in the package
|
|
*
|
|
* @return vector of transformations included in the package
|
|
*/
|
|
const std::vector<GTransform>& get_transformations() const;
|
|
|
|
/**
|
|
* @brief Returns vector of kernel ids included in the package
|
|
*
|
|
* @return vector of kernel ids included in the package
|
|
*/
|
|
std::vector<std::string> get_kernel_ids() const;
|
|
|
|
/**
|
|
* @brief Test if a particular kernel _implementation_ KImpl is
|
|
* included in this kernel package.
|
|
*
|
|
* @sa includesAPI()
|
|
*
|
|
* @note cannot be applied to transformations
|
|
*
|
|
* @return true if there is such kernel, false otherwise.
|
|
*/
|
|
template<typename KImpl>
|
|
bool includes() const
|
|
{
|
|
static_assert(std::is_base_of<cv::detail::KernelTag, KImpl>::value,
|
|
"includes() can be applied to kernels only");
|
|
|
|
auto kernel_it = m_id_kernels.find(KImpl::API::id());
|
|
return kernel_it != m_id_kernels.end() &&
|
|
kernel_it->second.first == KImpl::backend();
|
|
}
|
|
|
|
/**
|
|
* @brief Remove all kernels associated with the given backend
|
|
* from the package.
|
|
*
|
|
* Does nothing if there's no kernels of this backend in the package.
|
|
*
|
|
* @param backend backend which kernels to remove
|
|
*/
|
|
void remove(const GBackend& backend);
|
|
|
|
/**
|
|
* @brief Remove all kernels implementing the given API from
|
|
* the package.
|
|
*
|
|
* Does nothing if there's no kernels implementing the given interface.
|
|
*/
|
|
template<typename KAPI>
|
|
void remove()
|
|
{
|
|
removeAPI(KAPI::id());
|
|
}
|
|
|
|
// FIXME: Rename to includes() and distinguish API/impl case by
|
|
// statically?
|
|
/**
|
|
* Check if package contains ANY implementation of a kernel API
|
|
* by API type.
|
|
*/
|
|
template<typename KAPI>
|
|
bool includesAPI() const
|
|
{
|
|
return includesAPI(KAPI::id());
|
|
}
|
|
|
|
/// @private
|
|
bool includesAPI(const std::string &id) const;
|
|
|
|
// FIXME: The below comment is wrong, and who needs this function?
|
|
/**
|
|
* @brief Find a kernel (by its API)
|
|
*
|
|
* Returns implementation corresponding id.
|
|
* Throws if nothing found.
|
|
*
|
|
* @return Backend which hosts matching kernel implementation.
|
|
*
|
|
*/
|
|
template<typename KAPI>
|
|
GBackend lookup() const
|
|
{
|
|
return lookup(KAPI::id()).first;
|
|
}
|
|
|
|
/// @private
|
|
std::pair<cv::gapi::GBackend, cv::GKernelImpl>
|
|
lookup(const std::string &id) const;
|
|
|
|
// FIXME: No overwrites allowed?
|
|
/**
|
|
* @brief Put a new kernel implementation or a new transformation
|
|
* KImpl into the package.
|
|
*/
|
|
template<typename KImpl>
|
|
void include()
|
|
{
|
|
includeHelper<KImpl>();
|
|
}
|
|
|
|
/**
|
|
* @brief Adds a new kernel based on it's backend and id into the kernel package
|
|
*
|
|
* @param backend backend associated with the kernel
|
|
* @param kernel_id a name/id of the kernel
|
|
*/
|
|
void include(const cv::gapi::GBackend& backend, const std::string& kernel_id)
|
|
{
|
|
removeAPI(kernel_id);
|
|
m_id_kernels[kernel_id] = std::make_pair(backend, GKernelImpl{{}, {}});
|
|
}
|
|
|
|
/**
|
|
* @brief Lists all backends which are included into package
|
|
*
|
|
* @return vector of backends
|
|
*/
|
|
std::vector<GBackend> backends() const;
|
|
|
|
// TODO: Doxygen bug -- it wants me to place this comment
|
|
// here, not below.
|
|
/**
|
|
* @brief Create a new package based on `lhs` and `rhs`.
|
|
*
|
|
* @param lhs "Left-hand-side" package in the process
|
|
* @param rhs "Right-hand-side" package in the process
|
|
* @return a new kernel package.
|
|
*/
|
|
friend GAPI_EXPORTS GKernelPackage combine(const GKernelPackage &lhs,
|
|
const GKernelPackage &rhs);
|
|
};
|
|
|
|
/**
|
|
* @brief Create a kernel package object containing kernels
|
|
* and transformations specified in variadic template argument.
|
|
*
|
|
* In G-API, kernel implementations and transformations are _types_.
|
|
* Every backend has its own kernel API (like GAPI_OCV_KERNEL() and
|
|
* GAPI_FLUID_KERNEL()) but all of that APIs define a new type for
|
|
* each kernel implementation.
|
|
*
|
|
* Use this function to pass kernel implementations (defined in
|
|
* either way) and transformations to the system. Example:
|
|
*
|
|
* @snippet samples/cpp/tutorial_code/gapi/doc_snippets/api_ref_snippets.cpp kernels_snippet
|
|
*
|
|
* Note that kernels() itself is a function returning object, not
|
|
* a type, so having `()` at the end is important -- it must be a
|
|
* function call.
|
|
*/
|
|
template<typename... KK> GKernelPackage kernels()
|
|
{
|
|
// FIXME: currently there is no check that transformations' signatures are unique
|
|
// and won't be any intersection in graph compilation stage
|
|
static_assert(cv::detail::all_unique<typename KK::API...>::value, "Kernels API must be unique");
|
|
|
|
GKernelPackage pkg;
|
|
|
|
// For those who wonder - below is a trick to call a number of
|
|
// methods based on parameter pack (zeroes just help hiding these
|
|
// calls into a sequence which helps to expand this parameter pack).
|
|
// Just note that `f(),a` always equals to `a` (with f() called!)
|
|
// and parentheses are used to hide function call in the expanded sequence.
|
|
// Leading 0 helps to handle case when KK is an empty list (kernels<>()).
|
|
int unused[] = { 0, (pkg.include<KK>(), 0)... };
|
|
cv::util::suppress_unused_warning(unused);
|
|
return pkg;
|
|
};
|
|
|
|
template<typename... FF>
|
|
GKernelPackage kernels(FF&... functors)
|
|
{
|
|
GKernelPackage pkg;
|
|
int unused[] = { 0, (pkg.include(functors), 0)... };
|
|
cv::util::suppress_unused_warning(unused);
|
|
return pkg;
|
|
};
|
|
|
|
/** @} */
|
|
|
|
// FYI - this function is already commented above
|
|
GAPI_EXPORTS GKernelPackage combine(const GKernelPackage &lhs,
|
|
const GKernelPackage &rhs);
|
|
|
|
/**
|
|
* @brief Combines multiple G-API kernel packages into one
|
|
*
|
|
* @overload
|
|
*
|
|
* This function successively combines the passed kernel packages using a right fold.
|
|
* Calling `combine(a, b, c)` is equal to `combine(a, combine(b, c))`.
|
|
*
|
|
* @return The resulting kernel package
|
|
*/
|
|
template<typename... Ps>
|
|
GKernelPackage combine(const GKernelPackage &a, const GKernelPackage &b, Ps&&... rest)
|
|
{
|
|
return combine(a, combine(b, rest...));
|
|
}
|
|
|
|
/** \addtogroup gapi_compile_args
|
|
* @{
|
|
*/
|
|
/**
|
|
* @brief cv::gapi::use_only() is a special combinator which hints G-API to use only
|
|
* kernels specified in cv::GComputation::compile() (and not to extend kernels available by
|
|
* default with that package).
|
|
*/
|
|
struct GAPI_EXPORTS use_only
|
|
{
|
|
GKernelPackage pkg;
|
|
};
|
|
/** @} */
|
|
|
|
} // namespace gapi
|
|
|
|
namespace detail
|
|
{
|
|
template<> struct CompileArgTag<cv::gapi::GKernelPackage>
|
|
{
|
|
static const char* tag() { return "gapi.kernel_package"; }
|
|
};
|
|
|
|
template<> struct CompileArgTag<cv::gapi::use_only>
|
|
{
|
|
static const char* tag() { return "gapi.use_only"; }
|
|
};
|
|
} // namespace detail
|
|
|
|
} // namespace cv
|
|
|
|
#endif // OPENCV_GAPI_GKERNEL_HPP
|