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Merge pull request #20184 from sivanov-work:fix_gapi_empty_input
G-API: Add standalone fix for graph empty input * Add sandalone fix for graph empty input * Apply some review comments * Fix whitespace * Apply review comment: make Mat check more deeper * Apply some comments * Remove tracer apply exception throwing * Apply comments: move validatio into gproto_priv.hpp * Apply minor text correction * Fix alignment, remove try-catch
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@ -43,6 +43,19 @@ namespace detail
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GOPAQUE, // a cv::GOpaqueU (note - exactly GOpaqueU, not GOpaque<T>!)
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};
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template<typename T>
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constexpr const char* meta_to_string() noexcept;
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template<>
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constexpr const char* meta_to_string<cv::GMatDesc>() noexcept { return "GMatDesc"; }
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template<>
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constexpr const char* meta_to_string<cv::GScalarDesc>() noexcept { return "GScalarDesc"; }
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template<>
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constexpr const char* meta_to_string<cv::GArrayDesc>() noexcept { return "GArrayDesc"; }
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template<>
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constexpr const char* meta_to_string<cv::GOpaqueDesc>() noexcept { return "GOpaqueDesc"; }
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template<>
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constexpr const char* meta_to_string<cv::GFrameDesc>() noexcept { return "GFrameDesc";}
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// Describe G-API types (G-types) with traits. Mostly used by
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// cv::GArg to store meta information about types passed into
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// operation arguments. Please note that cv::GComputation is
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@ -35,6 +35,7 @@ namespace detail
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template<> struct ProtoToMeta<cv::GScalar> { using type = cv::GScalarDesc; };
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template<typename U> struct ProtoToMeta<cv::GArray<U> > { using type = cv::GArrayDesc; };
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template<typename U> struct ProtoToMeta<cv::GOpaque<U> > { using type = cv::GOpaqueDesc; };
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template<> struct ProtoToMeta<cv::GFrame> { using type = cv::GFrameDesc; };
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template<typename T> using ProtoToMetaT = typename ProtoToMeta<T>::type;
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//workaround for MSVC 19.0 bug
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@ -14,6 +14,7 @@
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#include "api/gorigin.hpp"
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#include "api/gproto_priv.hpp"
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#include "logger.hpp"
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// FIXME: it should be a visitor!
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// FIXME: Reimplement with traits?
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@ -201,6 +202,52 @@ bool cv::can_describe(const GMetaArgs &metas, const GRunArgs &args)
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});
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}
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void cv::gimpl::proto::validate_input_meta_arg(const cv::GMetaArg& meta)
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{
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switch (meta.index())
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{
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case cv::GMetaArg::index_of<cv::GMatDesc>():
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{
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cv::gimpl::proto::validate_input_meta(cv::util::get<GMatDesc>(meta)); //may throw
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break;
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}
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default:
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break;
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}
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}
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void cv::gimpl::proto::validate_input_meta(const cv::GMatDesc& meta)
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{
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if (meta.dims.empty())
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{
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if (!(meta.size.height > 0 && meta.size.width > 0))
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{
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cv::util::throw_error
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(std::logic_error(
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"Image format is invalid. Size must contain positive values"
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", got width: " + std::to_string(meta.size.width ) +
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(", height: ") + std::to_string(meta.size.height)));
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}
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if (!(meta.chan > 0))
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{
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cv::util::throw_error
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(std::logic_error(
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"Image format is invalid. Channel mustn't be negative value, got channel: " +
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std::to_string(meta.chan)));
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}
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}
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if (!(meta.depth >= 0))
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{
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cv::util::throw_error
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(std::logic_error(
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"Image format is invalid. Depth must be positive value, got depth: " +
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std::to_string(meta.depth)));
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}
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// All checks are ok
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}
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// FIXME: Is it tested for all types?
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// FIXME: Where does this validation happen??
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void cv::validate_input_arg(const GRunArg& arg)
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@ -212,13 +259,15 @@ void cv::validate_input_arg(const GRunArg& arg)
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case GRunArg::index_of<cv::UMat>():
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{
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const auto desc = cv::descr_of(util::get<cv::UMat>(arg));
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GAPI_Assert(desc.size.height != 0 && desc.size.width != 0 && "incorrect dimensions of cv::UMat!"); break;
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cv::gimpl::proto::validate_input_meta(desc); //may throw
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break;
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}
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#endif // !defined(GAPI_STANDALONE)
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case GRunArg::index_of<cv::Mat>():
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{
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const auto desc = cv::descr_of(util::get<cv::Mat>(arg));
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GAPI_Assert(desc.size.height != 0 && desc.size.width != 0 && "incorrect dimensions of Mat!"); break;
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cv::gimpl::proto::validate_input_meta(desc); //may throw
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break;
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}
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default:
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// No extra handling
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@ -228,9 +277,13 @@ void cv::validate_input_arg(const GRunArg& arg)
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void cv::validate_input_args(const GRunArgs& args)
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{
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GAPI_LOG_DEBUG(nullptr, "Total count: " << args.size());
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size_t index = 0;
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for (const auto& arg : args)
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{
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GAPI_LOG_DEBUG(nullptr, "Process index: " << index);
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validate_input_arg(arg);
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index ++;
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}
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}
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@ -31,6 +31,9 @@ GProtoArg rewrap (const GArg &arg);
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// FIXME:: GAPI_EXPORTS because of tests only!!
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GAPI_EXPORTS const void* ptr (const GRunArgP &arg);
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void validate_input_meta_arg(const GMetaArg& meta);
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void validate_input_meta(const GMatDesc& meta);
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} // proto
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} // gimpl
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} // cv
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@ -343,19 +343,26 @@ void cv::gimpl::GCompiler::validateInputMeta()
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return false; // should never happen
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};
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GAPI_LOG_DEBUG(nullptr, "Total count: " << m_metas.size());
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for (const auto meta_arg_idx : ade::util::indexed(ade::util::zip(m_metas, c_expr.m_ins)))
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{
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const auto &meta = std::get<0>(ade::util::value(meta_arg_idx));
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const auto &proto = std::get<1>(ade::util::value(meta_arg_idx));
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const auto index = ade::util::index(meta_arg_idx);
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GAPI_LOG_DEBUG(nullptr, "Process index: " << index);
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// check types validity
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if (!meta_matches(meta, proto))
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{
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const auto index = ade::util::index(meta_arg_idx);
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util::throw_error(std::logic_error
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("GComputation object type / metadata descriptor mismatch "
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"(argument " + std::to_string(index) + ")"));
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// FIXME: report what we've got and what we've expected
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}
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// check value consistency
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gimpl::proto::validate_input_meta_arg(meta); //may throw
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}
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// All checks are ok
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}
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@ -29,7 +29,7 @@ class GAPI_EXPORTS GCompiler
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cv::gapi::GKernelPackage m_all_kernels;
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cv::gapi::GNetPackage m_all_networks;
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// Patters built from transformations
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// Patterns built from transformations
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std::vector<std::unique_ptr<ade::Graph>> m_all_patterns;
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@ -37,6 +37,31 @@ namespace
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{
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}
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};
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struct GCompiledValidateMetaEmpty: public ::testing::Test
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{
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cv::GMat in;
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cv::GScalar scale;
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cv::GComputation m_ucc;
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G_API_OP(GReturn42, <cv::GOpaque<int>(cv::GMat)>, "org.opencv.test.return_42")
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{
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static GOpaqueDesc outMeta(cv::GMatDesc /* in */) { return cv::empty_gopaque_desc(); }
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};
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GAPI_OCV_KERNEL(GOCVReturn42, GReturn42)
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{
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static void run(const cv::Mat &/* in */, int &out)
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{
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out = 42;
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}
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};
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GCompiledValidateMetaEmpty() : m_ucc(cv::GIn(in),
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cv::GOut(GReturn42::on(in)))
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{
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}
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};
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} // anonymous namespace
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TEST_F(GCompiledValidateMetaTyped, ValidMeta)
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@ -170,4 +195,38 @@ TEST_F(GCompiledValidateMetaUntyped, InvalidMetaNumber)
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EXPECT_THROW(f(cv::gin(in1, sc), cv::gout(out1, out2)), std::logic_error);
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}
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TEST_F(GCompiledValidateMetaEmpty, InvalidMatMetaCompile)
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{
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EXPECT_THROW(m_ucc.compile(cv::empty_gmat_desc(),
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cv::empty_scalar_desc()),
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std::logic_error);
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}
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TEST_F(GCompiledValidateMetaEmpty, InvalidMatMetaApply)
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{
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cv::Mat emptyIn;
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int out {};
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const auto pkg = cv::gapi::kernels<GCompiledValidateMetaEmpty::GOCVReturn42>();
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EXPECT_THROW(m_ucc.apply(cv::gin(emptyIn), cv::gout(out), cv::compile_args(pkg)),
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std::logic_error);
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}
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TEST_F(GCompiledValidateMetaEmpty, ValidInvalidMatMetasApply)
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{
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int out {};
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const auto pkg = cv::gapi::kernels<GCompiledValidateMetaEmpty::GOCVReturn42>();
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cv::Mat nonEmptyMat = cv::Mat::eye(cv::Size(64,32), CV_8UC1);
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m_ucc.apply(cv::gin(nonEmptyMat), cv::gout(out), cv::compile_args(pkg));
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EXPECT_EQ(out, 42);
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cv::Mat emptyIn;
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EXPECT_THROW(m_ucc.apply(cv::gin(emptyIn), cv::gout(out), cv::compile_args(pkg)),
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std::logic_error);
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out = 0;
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m_ucc.apply(cv::gin(nonEmptyMat), cv::gout(out), cv::compile_args(pkg));
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EXPECT_EQ(out, 42);
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}
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} // namespace opencv_test
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