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https://github.com/opencv/opencv.git
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7566921364
G-API Serialization routines * Serialization backend in tests, initial version * S11N/00: A Great Rename - "Serialization" is too long and too error-prone to type, so now it is renamed to "s11n" everywhere; - Same applies to "SRLZ"; - Tests also renamed to start with 'S11N.*' (easier to run); - Also updated copyright years in new files to 2020. * S11N/01: Some basic interface segregation - Moved some details (low-level functions) out of serialization.hpp; - Introduced I::IStream and I::OStream interfaces; - Implemented those via the existing [De]SerializationStream classes; - Moved all operators to use interfaces instead of classes; - Moved the htonl/ntohl handling out of operators (to the classes). The implementation didn't change much, it is a subject to the further refactoring * S11N/02: Basic operator reorg, basic tests, vector support - Reorganized operators on atomic types to follow >>/<< model (put them closer in the code for the respective types); - Introduce more operators for basic (scalar) types; - Drop all vector s11n overloads -- replace with a generic (template-based) one; - Introduced a new test suite where low-level s11n functionality is tested (for the basic types). * S11N/03: Operators reorganization - Sorted the Opaque types enum by complexity; - Reorganized the existing operators for basic types, also ordered by complexity; - Organized operators in three groups (Basics, OpenCV, G-API); - Added a generic serialization for variant<>; - Reimplemented some of the existing operators (for OpenCV and G-API data structures); - Introduced new operators for cv::gimpl data types. These operators (and so, the data structures) are not yet used in the graph dump/reconstruction routine, it will be done as a next step. * S11N/04: The Great Clean-up - Drop the duplicates of GModel data structures from the serialization, serialize the GModel data structures themselve instead (hand-written code replaced with operators). - Also removed usuned code for printing, etc. * S11N/05: Internal API Clean-up - Minimize the serialization API to just Streams and Operators; - Refactor and fix the graph serialization (deconstruction and reconstruction) routines, fix data addressing problems there; - Move the serialization.[ch]pp files to the core G-API library * S11N/06: Top-level API introduction - !!!This is likely the most invasive commit in the series!!! - Introduced a top-level API to serialize and deserialize a GComputation - Extended the compiler to support both forms of a GComputation: an expession based and a deserialized one. This has led to changes in the cv::GComputation::Priv and in its dependent components (even the transformation tests); - Had to extend the kernel API (GKernel) with extra information on operations (mainly `outMeta`) which was only available for expression based graphs. Now the `outMeta` can be taken from kernels too (and for the deserialized graphs it is the only way); - Revisited the internal serialization API, had to expose previously hidden entities (like `GSerialized`); - Extended the serialized graph info with new details (object counter, protocol). Added unordered_map generic serialization for that; - Reworked the very first pipeline test to be "proper"; GREEN now, the rest is to be reworked in the next iteration. * S11N/07: Tests reworked - Moved the sample pipeline tests w/serialization to test the public API (`cv::gapi::serialize`, then followed by `cv::gapi::deserialize<>`). All GREEN. - As a consequence, dropped the "Serialization" test backend as no longer necessary. * S11N/08: Final touches - Exposed the C++ native data types at Streams level; - Switched the ByteMemoryIn/OutStreams to store data in `char` internally (2x less memory for sample pipelines); - Fixed and refactored Mat dumping to the stream; - Renamed S11N pipeline tests to their new meaning. * linux build fix * fix RcDesc and int uint warnings * more Linux build fix * white space and virtual android error fix (attempt) * more warnings to be fixed * android warnings fix attempt * one more attempt for android build fix * android warnings one more fix * return back override * avoid size_t * static deserialize * and how do you like this, elon? anonymous namespace to fix android warning. * static inline * trying to fix standalone build * mat dims fix * fix mat r/w for standalone Co-authored-by: Dmitry Matveev <dmitry.matveev@intel.com>
351 lines
10 KiB
C++
351 lines
10 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) 2019 Intel Corporation
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#include <tuple>
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#include "test_precomp.hpp"
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#include "opencv2/gapi/gtransform.hpp"
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#include "opencv2/gapi/gtype_traits.hpp"
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// explicit include to use GComputation::Priv
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#include "api/gcomputation_priv.hpp"
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namespace opencv_test
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{
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namespace
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{
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using GMat = cv::GMat;
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using GMat2 = std::tuple<GMat, GMat>;
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using GMat3 = std::tuple<GMat, GMat, GMat>;
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using GScalar = cv::GScalar;
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template <typename T> using GArray = cv::GArray<T>;
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template <typename T> using GOpaque = cv::GOpaque<T>;
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using ArrayT = int;
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using WrongArrayT = char;
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struct CustomType{
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cv::Mat mat;
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int i;
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void *v;
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CustomType* next;
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};
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struct AnotherCustomType{
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cv::Mat mat;
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int i;
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void *v;
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};
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using OpaqueT = CustomType;
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using WrongOpaqueT = AnotherCustomType;
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GAPI_TRANSFORM(gmat_in_gmat_out, <GMat(GMat)>, "gmat_in_gmat_out")
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{
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static GMat pattern(GMat) { return {}; }
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static GMat substitute(GMat) { return {}; }
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};
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GAPI_TRANSFORM(gmat2_in_gmat_out, <GMat(GMat, GMat)>, "gmat2_in_gmat_out")
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{
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static GMat pattern(GMat, GMat) { return {}; }
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static GMat substitute(GMat, GMat) { return {}; }
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};
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GAPI_TRANSFORM(gmat2_in_gmat3_out, <GMat3(GMat, GMat)>, "gmat2_in_gmat3_out")
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{
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static GMat3 pattern(GMat, GMat) { return {}; }
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static GMat3 substitute(GMat, GMat) { return {}; }
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};
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GAPI_TRANSFORM(gmatp_in_gmatp_out, <GMatP(GMatP)>, "gmatp_in_gmatp_out")
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{
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static GMatP pattern(GMatP) { return {}; }
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static GMatP substitute(GMatP) { return {}; }
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};
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GAPI_TRANSFORM(gsc_in_gmat_out, <GMat(GScalar)>, "gsc_in_gmat_out")
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{
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static GMat pattern(GScalar) { return {}; }
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static GMat substitute(GScalar) { return {}; }
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};
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GAPI_TRANSFORM(gmat_in_gsc_out, <GScalar(GMat)>, "gmat_in_gsc_out")
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{
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static GScalar pattern(GMat) { return {}; }
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static GScalar substitute(GMat) { return {}; }
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};
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GAPI_TRANSFORM(garr_in_gmat_out, <GMat(GArray<ArrayT>)>, "garr_in_gmat_out")
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{
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static GMat pattern(GArray<ArrayT>) { return {}; }
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static GMat substitute(GArray<ArrayT>) { return {}; }
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};
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GAPI_TRANSFORM(gmat_in_garr_out, <GArray<ArrayT>(GMat)>, "gmat_in_garr_out")
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{
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static GArray<ArrayT> pattern(GMat) { return {}; }
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static GArray<ArrayT> substitute(GMat) { return {}; }
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};
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GAPI_TRANSFORM(garr_in_gscalar_out, <GScalar(GArray<ArrayT>)>, "garr_in_gscalar_out")
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{
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static GScalar pattern(GArray<ArrayT>) { return {}; }
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static GScalar substitute(GArray<ArrayT>) { return {}; }
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};
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GAPI_TRANSFORM(gscalar_in_garr_out, <GArray<ArrayT>(GScalar)>, "gscalar_in_garr_out")
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{
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static GArray<ArrayT> pattern(GScalar) { return {}; }
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static GArray<ArrayT> substitute(GScalar) { return {}; }
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};
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GAPI_TRANSFORM(gmat_gsc_garray_in_gmat2_out, <GMat2(GMat, GScalar, GArray<ArrayT>)>, "gmat_gsc_garray_in_gmat2_out")
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{
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static GMat2 pattern(GMat, GScalar, GArray<ArrayT>) { return {}; }
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static GMat2 substitute(GMat, GScalar, GArray<ArrayT>) { return {}; }
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};
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GAPI_TRANSFORM(gop_in_gmat_out, <GMat(GOpaque<OpaqueT>)>, "gop_in_gmat_out")
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{
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static GMat pattern(GOpaque<OpaqueT>) { return {}; }
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static GMat substitute(GOpaque<OpaqueT>) { return {}; }
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};
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GAPI_TRANSFORM(gmat_in_gop_out, <GOpaque<OpaqueT>(GMat)>, "gmat_in_gop_out")
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{
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static GOpaque<OpaqueT> pattern(GMat) { return {}; }
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static GOpaque<OpaqueT> substitute(GMat) { return {}; }
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};
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GAPI_TRANSFORM(gop_in_gscalar_out, <GScalar(GOpaque<OpaqueT>)>, "gop_in_gscalar_out")
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{
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static GScalar pattern(GOpaque<OpaqueT>) { return {}; }
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static GScalar substitute(GOpaque<OpaqueT>) { return {}; }
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};
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GAPI_TRANSFORM(gscalar_in_gop_out, <GOpaque<OpaqueT>(GScalar)>, "gscalar_in_gop_out")
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{
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static GOpaque<OpaqueT> pattern(GScalar) { return {}; }
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static GOpaque<OpaqueT> substitute(GScalar) { return {}; }
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};
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GAPI_TRANSFORM(gmat_gsc_gopaque_in_gmat2_out, <GMat2(GMat, GScalar, GOpaque<OpaqueT>)>, "gmat_gsc_gopaque_in_gmat2_out")
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{
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static GMat2 pattern(GMat, GScalar, GOpaque<OpaqueT>) { return {}; }
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static GMat2 substitute(GMat, GScalar, GOpaque<OpaqueT>) { return {}; }
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};
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} // anonymous namespace
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TEST(KernelPackageTransform, CreatePackage)
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{
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auto pkg = cv::gapi::kernels
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< gmat_in_gmat_out
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, gmat2_in_gmat_out
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, gmat2_in_gmat3_out
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, gmatp_in_gmatp_out
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, gsc_in_gmat_out
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, gmat_in_gsc_out
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, garr_in_gmat_out
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, gmat_in_garr_out
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, garr_in_gscalar_out
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, gscalar_in_garr_out
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, gmat_gsc_garray_in_gmat2_out
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, gop_in_gmat_out
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, gmat_in_gop_out
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, gop_in_gscalar_out
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, gscalar_in_gop_out
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, gmat_gsc_gopaque_in_gmat2_out
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>();
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auto tr = pkg.get_transformations();
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EXPECT_EQ(16u, tr.size());
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}
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TEST(KernelPackageTransform, Include)
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{
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cv::gapi::GKernelPackage pkg;
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pkg.include<gmat_in_gmat_out>();
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pkg.include<gmat2_in_gmat_out>();
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pkg.include<gmat2_in_gmat3_out>();
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auto tr = pkg.get_transformations();
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EXPECT_EQ(3u, tr.size());
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}
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TEST(KernelPackageTransform, Combine)
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{
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auto pkg1 = cv::gapi::kernels<gmat_in_gmat_out>();
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auto pkg2 = cv::gapi::kernels<gmat2_in_gmat_out>();
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auto pkg_comb = cv::gapi::combine(pkg1, pkg2);
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auto tr = pkg_comb.get_transformations();
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EXPECT_EQ(2u, tr.size());
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}
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namespace
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{
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template <typename T>
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inline bool ProtoContainsT(const cv::GProtoArg &arg) {
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return cv::GProtoArg::index_of<T>() == arg.index();
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}
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} // anonymous namespace
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TEST(KernelPackageTransform, gmat_gsc_garray_in_gmat2_out)
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{
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auto tr = gmat_gsc_garray_in_gmat2_out::transformation();
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auto check = [](const cv::GComputation &comp){
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const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
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EXPECT_EQ(3u, p.m_ins.size());
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EXPECT_EQ(2u, p.m_outs.size());
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_ins[0]));
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EXPECT_TRUE(ProtoContainsT<GScalar>(p.m_ins[1]));
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EXPECT_TRUE(ProtoContainsT<cv::detail::GArrayU>(p.m_ins[2]));
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EXPECT_TRUE(cv::util::get<cv::detail::GArrayU>(p.m_ins[2]).holds<ArrayT>());
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EXPECT_FALSE(cv::util::get<cv::detail::GArrayU>(p.m_ins[2]).holds<WrongArrayT>());
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[0]));
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[1]));
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};
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check(tr.pattern());
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check(tr.substitute());
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}
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TEST(KernelPackageTransform, gmat_gsc_gopaque_in_gmat2_out)
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{
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auto tr = gmat_gsc_gopaque_in_gmat2_out::transformation();
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auto check = [](const cv::GComputation &comp){
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const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
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EXPECT_EQ(3u, p.m_ins.size());
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EXPECT_EQ(2u, p.m_outs.size());
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_ins[0]));
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EXPECT_TRUE(ProtoContainsT<GScalar>(p.m_ins[1]));
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EXPECT_TRUE(ProtoContainsT<cv::detail::GOpaqueU>(p.m_ins[2]));
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EXPECT_TRUE(cv::util::get<cv::detail::GOpaqueU>(p.m_ins[2]).holds<OpaqueT>());
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EXPECT_FALSE(cv::util::get<cv::detail::GOpaqueU>(p.m_ins[2]).holds<WrongOpaqueT>());
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[0]));
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EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[1]));
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};
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check(tr.pattern());
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check(tr.substitute());
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}
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namespace
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{
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template<typename ArgT>
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typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind == cv::detail::ArgKind::GARRAY), void>::type
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arg_check(const cv::GProtoArg &arg)
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{
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EXPECT_TRUE(ProtoContainsT<cv::detail::GArrayU>(arg));
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EXPECT_TRUE(cv::util::get<cv::detail::GArrayU>(arg).holds<ArrayT>());
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EXPECT_FALSE(cv::util::get<cv::detail::GArrayU>(arg).holds<WrongArrayT>());
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}
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template<typename ArgT>
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typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind == cv::detail::ArgKind::GOPAQUE), void>::type
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arg_check(const cv::GProtoArg &arg)
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{
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EXPECT_TRUE(ProtoContainsT<cv::detail::GOpaqueU>(arg));
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EXPECT_TRUE(cv::util::get<cv::detail::GOpaqueU>(arg).holds<OpaqueT>());
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EXPECT_FALSE(cv::util::get<cv::detail::GOpaqueU>(arg).holds<WrongOpaqueT>());
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}
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template<typename ArgT>
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typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind != cv::detail::ArgKind::GARRAY &&
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cv::detail::GTypeTraits<ArgT>::kind != cv::detail::ArgKind::GOPAQUE), void>::type
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arg_check(const cv::GProtoArg &arg)
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{
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EXPECT_TRUE(ProtoContainsT<ArgT>(arg));
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}
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template<typename InType, typename OutType>
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void args_check(const cv::GComputation &comp)
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{
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const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
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EXPECT_EQ(1u, p.m_ins.size());
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EXPECT_EQ(1u, p.m_outs.size());
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arg_check<InType>(p.m_ins[0]);
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arg_check<OutType>(p.m_outs[0]);
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}
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} // anonymous namespace
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template <typename Transformation, typename InType, typename OutType>
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static void transformTest()
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{
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auto tr = Transformation::transformation();
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args_check<InType, OutType>(tr.pattern());
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args_check<InType, OutType>(tr.substitute());
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}
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TEST(KernelPackageTransform, gmat_in_gmat_out)
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{
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transformTest<gmat_in_gmat_out, GMat, GMat>();
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}
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TEST(KernelPackageTransform, gmatp_in_gmatp_out)
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{
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transformTest<gmatp_in_gmatp_out, GMatP, GMatP>();
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}
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TEST(KernelPackageTransform, gsc_in_gmat_out)
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{
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transformTest<gsc_in_gmat_out, GScalar, GMat>();
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}
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TEST(KernelPackageTransform, gmat_in_gsc_out)
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{
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transformTest<gmat_in_gsc_out, GMat, GScalar>();
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}
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TEST(KernelPackageTransform, garr_in_gmat_out)
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{
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transformTest<garr_in_gmat_out, GArray<ArrayT>, GMat>();
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}
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TEST(KernelPackageTransform, gmat_in_garr_out)
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{
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transformTest<gmat_in_garr_out, GMat, GArray<ArrayT>>();
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}
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TEST(KernelPackageTransform, garr_in_gscalar_out)
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{
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transformTest<garr_in_gscalar_out, GArray<ArrayT>, GScalar>();
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}
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TEST(KernelPackageTransform, gscalar_in_garr_out)
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{
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transformTest<gscalar_in_garr_out, GScalar, GArray<ArrayT>>();
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}
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TEST(KernelPackageTransform, gop_in_gmat_out)
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{
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transformTest<gop_in_gmat_out, GOpaque<OpaqueT>, GMat>();
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}
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TEST(KernelPackageTransform, gmat_in_gop_out)
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{
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transformTest<gmat_in_gop_out, GMat, GOpaque<OpaqueT>>();
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}
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TEST(KernelPackageTransform, gop_in_gscalar_out)
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{
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transformTest<gop_in_gscalar_out, GOpaque<OpaqueT>, GScalar>();
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}
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TEST(KernelPackageTransform, gscalar_in_gop_out)
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{
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transformTest<gscalar_in_gop_out, GScalar, GOpaque<OpaqueT>>();
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}
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} // namespace opencv_test
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