opencv/modules/gapi/test/gapi_transform_tests.cpp
Dmitry Budnikov 7566921364
Merge pull request #17020 from dbudniko:dbudniko/serialization_backend
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>
2020-06-26 19:41:29 +00:00

351 lines
10 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2019 Intel Corporation
#include <tuple>
#include "test_precomp.hpp"
#include "opencv2/gapi/gtransform.hpp"
#include "opencv2/gapi/gtype_traits.hpp"
// explicit include to use GComputation::Priv
#include "api/gcomputation_priv.hpp"
namespace opencv_test
{
namespace
{
using GMat = cv::GMat;
using GMat2 = std::tuple<GMat, GMat>;
using GMat3 = std::tuple<GMat, GMat, GMat>;
using GScalar = cv::GScalar;
template <typename T> using GArray = cv::GArray<T>;
template <typename T> using GOpaque = cv::GOpaque<T>;
using ArrayT = int;
using WrongArrayT = char;
struct CustomType{
cv::Mat mat;
int i;
void *v;
CustomType* next;
};
struct AnotherCustomType{
cv::Mat mat;
int i;
void *v;
};
using OpaqueT = CustomType;
using WrongOpaqueT = AnotherCustomType;
GAPI_TRANSFORM(gmat_in_gmat_out, <GMat(GMat)>, "gmat_in_gmat_out")
{
static GMat pattern(GMat) { return {}; }
static GMat substitute(GMat) { return {}; }
};
GAPI_TRANSFORM(gmat2_in_gmat_out, <GMat(GMat, GMat)>, "gmat2_in_gmat_out")
{
static GMat pattern(GMat, GMat) { return {}; }
static GMat substitute(GMat, GMat) { return {}; }
};
GAPI_TRANSFORM(gmat2_in_gmat3_out, <GMat3(GMat, GMat)>, "gmat2_in_gmat3_out")
{
static GMat3 pattern(GMat, GMat) { return {}; }
static GMat3 substitute(GMat, GMat) { return {}; }
};
GAPI_TRANSFORM(gmatp_in_gmatp_out, <GMatP(GMatP)>, "gmatp_in_gmatp_out")
{
static GMatP pattern(GMatP) { return {}; }
static GMatP substitute(GMatP) { return {}; }
};
GAPI_TRANSFORM(gsc_in_gmat_out, <GMat(GScalar)>, "gsc_in_gmat_out")
{
static GMat pattern(GScalar) { return {}; }
static GMat substitute(GScalar) { return {}; }
};
GAPI_TRANSFORM(gmat_in_gsc_out, <GScalar(GMat)>, "gmat_in_gsc_out")
{
static GScalar pattern(GMat) { return {}; }
static GScalar substitute(GMat) { return {}; }
};
GAPI_TRANSFORM(garr_in_gmat_out, <GMat(GArray<ArrayT>)>, "garr_in_gmat_out")
{
static GMat pattern(GArray<ArrayT>) { return {}; }
static GMat substitute(GArray<ArrayT>) { return {}; }
};
GAPI_TRANSFORM(gmat_in_garr_out, <GArray<ArrayT>(GMat)>, "gmat_in_garr_out")
{
static GArray<ArrayT> pattern(GMat) { return {}; }
static GArray<ArrayT> substitute(GMat) { return {}; }
};
GAPI_TRANSFORM(garr_in_gscalar_out, <GScalar(GArray<ArrayT>)>, "garr_in_gscalar_out")
{
static GScalar pattern(GArray<ArrayT>) { return {}; }
static GScalar substitute(GArray<ArrayT>) { return {}; }
};
GAPI_TRANSFORM(gscalar_in_garr_out, <GArray<ArrayT>(GScalar)>, "gscalar_in_garr_out")
{
static GArray<ArrayT> pattern(GScalar) { return {}; }
static GArray<ArrayT> substitute(GScalar) { return {}; }
};
GAPI_TRANSFORM(gmat_gsc_garray_in_gmat2_out, <GMat2(GMat, GScalar, GArray<ArrayT>)>, "gmat_gsc_garray_in_gmat2_out")
{
static GMat2 pattern(GMat, GScalar, GArray<ArrayT>) { return {}; }
static GMat2 substitute(GMat, GScalar, GArray<ArrayT>) { return {}; }
};
GAPI_TRANSFORM(gop_in_gmat_out, <GMat(GOpaque<OpaqueT>)>, "gop_in_gmat_out")
{
static GMat pattern(GOpaque<OpaqueT>) { return {}; }
static GMat substitute(GOpaque<OpaqueT>) { return {}; }
};
GAPI_TRANSFORM(gmat_in_gop_out, <GOpaque<OpaqueT>(GMat)>, "gmat_in_gop_out")
{
static GOpaque<OpaqueT> pattern(GMat) { return {}; }
static GOpaque<OpaqueT> substitute(GMat) { return {}; }
};
GAPI_TRANSFORM(gop_in_gscalar_out, <GScalar(GOpaque<OpaqueT>)>, "gop_in_gscalar_out")
{
static GScalar pattern(GOpaque<OpaqueT>) { return {}; }
static GScalar substitute(GOpaque<OpaqueT>) { return {}; }
};
GAPI_TRANSFORM(gscalar_in_gop_out, <GOpaque<OpaqueT>(GScalar)>, "gscalar_in_gop_out")
{
static GOpaque<OpaqueT> pattern(GScalar) { return {}; }
static GOpaque<OpaqueT> substitute(GScalar) { return {}; }
};
GAPI_TRANSFORM(gmat_gsc_gopaque_in_gmat2_out, <GMat2(GMat, GScalar, GOpaque<OpaqueT>)>, "gmat_gsc_gopaque_in_gmat2_out")
{
static GMat2 pattern(GMat, GScalar, GOpaque<OpaqueT>) { return {}; }
static GMat2 substitute(GMat, GScalar, GOpaque<OpaqueT>) { return {}; }
};
} // anonymous namespace
TEST(KernelPackageTransform, CreatePackage)
{
auto pkg = cv::gapi::kernels
< gmat_in_gmat_out
, gmat2_in_gmat_out
, gmat2_in_gmat3_out
, gmatp_in_gmatp_out
, gsc_in_gmat_out
, gmat_in_gsc_out
, garr_in_gmat_out
, gmat_in_garr_out
, garr_in_gscalar_out
, gscalar_in_garr_out
, gmat_gsc_garray_in_gmat2_out
, gop_in_gmat_out
, gmat_in_gop_out
, gop_in_gscalar_out
, gscalar_in_gop_out
, gmat_gsc_gopaque_in_gmat2_out
>();
auto tr = pkg.get_transformations();
EXPECT_EQ(16u, tr.size());
}
TEST(KernelPackageTransform, Include)
{
cv::gapi::GKernelPackage pkg;
pkg.include<gmat_in_gmat_out>();
pkg.include<gmat2_in_gmat_out>();
pkg.include<gmat2_in_gmat3_out>();
auto tr = pkg.get_transformations();
EXPECT_EQ(3u, tr.size());
}
TEST(KernelPackageTransform, Combine)
{
auto pkg1 = cv::gapi::kernels<gmat_in_gmat_out>();
auto pkg2 = cv::gapi::kernels<gmat2_in_gmat_out>();
auto pkg_comb = cv::gapi::combine(pkg1, pkg2);
auto tr = pkg_comb.get_transformations();
EXPECT_EQ(2u, tr.size());
}
namespace
{
template <typename T>
inline bool ProtoContainsT(const cv::GProtoArg &arg) {
return cv::GProtoArg::index_of<T>() == arg.index();
}
} // anonymous namespace
TEST(KernelPackageTransform, gmat_gsc_garray_in_gmat2_out)
{
auto tr = gmat_gsc_garray_in_gmat2_out::transformation();
auto check = [](const cv::GComputation &comp){
const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
EXPECT_EQ(3u, p.m_ins.size());
EXPECT_EQ(2u, p.m_outs.size());
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_ins[0]));
EXPECT_TRUE(ProtoContainsT<GScalar>(p.m_ins[1]));
EXPECT_TRUE(ProtoContainsT<cv::detail::GArrayU>(p.m_ins[2]));
EXPECT_TRUE(cv::util::get<cv::detail::GArrayU>(p.m_ins[2]).holds<ArrayT>());
EXPECT_FALSE(cv::util::get<cv::detail::GArrayU>(p.m_ins[2]).holds<WrongArrayT>());
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[0]));
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[1]));
};
check(tr.pattern());
check(tr.substitute());
}
TEST(KernelPackageTransform, gmat_gsc_gopaque_in_gmat2_out)
{
auto tr = gmat_gsc_gopaque_in_gmat2_out::transformation();
auto check = [](const cv::GComputation &comp){
const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
EXPECT_EQ(3u, p.m_ins.size());
EXPECT_EQ(2u, p.m_outs.size());
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_ins[0]));
EXPECT_TRUE(ProtoContainsT<GScalar>(p.m_ins[1]));
EXPECT_TRUE(ProtoContainsT<cv::detail::GOpaqueU>(p.m_ins[2]));
EXPECT_TRUE(cv::util::get<cv::detail::GOpaqueU>(p.m_ins[2]).holds<OpaqueT>());
EXPECT_FALSE(cv::util::get<cv::detail::GOpaqueU>(p.m_ins[2]).holds<WrongOpaqueT>());
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[0]));
EXPECT_TRUE(ProtoContainsT<GMat>(p.m_outs[1]));
};
check(tr.pattern());
check(tr.substitute());
}
namespace
{
template<typename ArgT>
typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind == cv::detail::ArgKind::GARRAY), void>::type
arg_check(const cv::GProtoArg &arg)
{
EXPECT_TRUE(ProtoContainsT<cv::detail::GArrayU>(arg));
EXPECT_TRUE(cv::util::get<cv::detail::GArrayU>(arg).holds<ArrayT>());
EXPECT_FALSE(cv::util::get<cv::detail::GArrayU>(arg).holds<WrongArrayT>());
}
template<typename ArgT>
typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind == cv::detail::ArgKind::GOPAQUE), void>::type
arg_check(const cv::GProtoArg &arg)
{
EXPECT_TRUE(ProtoContainsT<cv::detail::GOpaqueU>(arg));
EXPECT_TRUE(cv::util::get<cv::detail::GOpaqueU>(arg).holds<OpaqueT>());
EXPECT_FALSE(cv::util::get<cv::detail::GOpaqueU>(arg).holds<WrongOpaqueT>());
}
template<typename ArgT>
typename std::enable_if<(cv::detail::GTypeTraits<ArgT>::kind != cv::detail::ArgKind::GARRAY &&
cv::detail::GTypeTraits<ArgT>::kind != cv::detail::ArgKind::GOPAQUE), void>::type
arg_check(const cv::GProtoArg &arg)
{
EXPECT_TRUE(ProtoContainsT<ArgT>(arg));
}
template<typename InType, typename OutType>
void args_check(const cv::GComputation &comp)
{
const auto &p = cv::util::get<cv::GComputation::Priv::Expr>(comp.priv().m_shape);
EXPECT_EQ(1u, p.m_ins.size());
EXPECT_EQ(1u, p.m_outs.size());
arg_check<InType>(p.m_ins[0]);
arg_check<OutType>(p.m_outs[0]);
}
} // anonymous namespace
template <typename Transformation, typename InType, typename OutType>
static void transformTest()
{
auto tr = Transformation::transformation();
args_check<InType, OutType>(tr.pattern());
args_check<InType, OutType>(tr.substitute());
}
TEST(KernelPackageTransform, gmat_in_gmat_out)
{
transformTest<gmat_in_gmat_out, GMat, GMat>();
}
TEST(KernelPackageTransform, gmatp_in_gmatp_out)
{
transformTest<gmatp_in_gmatp_out, GMatP, GMatP>();
}
TEST(KernelPackageTransform, gsc_in_gmat_out)
{
transformTest<gsc_in_gmat_out, GScalar, GMat>();
}
TEST(KernelPackageTransform, gmat_in_gsc_out)
{
transformTest<gmat_in_gsc_out, GMat, GScalar>();
}
TEST(KernelPackageTransform, garr_in_gmat_out)
{
transformTest<garr_in_gmat_out, GArray<ArrayT>, GMat>();
}
TEST(KernelPackageTransform, gmat_in_garr_out)
{
transformTest<gmat_in_garr_out, GMat, GArray<ArrayT>>();
}
TEST(KernelPackageTransform, garr_in_gscalar_out)
{
transformTest<garr_in_gscalar_out, GArray<ArrayT>, GScalar>();
}
TEST(KernelPackageTransform, gscalar_in_garr_out)
{
transformTest<gscalar_in_garr_out, GScalar, GArray<ArrayT>>();
}
TEST(KernelPackageTransform, gop_in_gmat_out)
{
transformTest<gop_in_gmat_out, GOpaque<OpaqueT>, GMat>();
}
TEST(KernelPackageTransform, gmat_in_gop_out)
{
transformTest<gmat_in_gop_out, GMat, GOpaque<OpaqueT>>();
}
TEST(KernelPackageTransform, gop_in_gscalar_out)
{
transformTest<gop_in_gscalar_out, GOpaque<OpaqueT>, GScalar>();
}
TEST(KernelPackageTransform, gscalar_in_gop_out)
{
transformTest<gscalar_in_gop_out, GScalar, GOpaque<OpaqueT>>();
}
} // namespace opencv_test