Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

Merge pull request #21204 from anna-khakimova:ak/move_simd_absdiffc

Browse Source
pull/21253/head
Alexander Alekhin 3 years ago
parent ba12f52f6c a4d6bcba09
commit f1053d48a2
9 changed files with 128 additions and 293 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 2
      modules/gapi/perf/common/gapi_core_perf_tests.hpp
  2. 12
      modules/gapi/perf/common/gapi_core_perf_tests_inl.hpp
  3. 3
      modules/gapi/perf/cpu/gapi_core_perf_tests_cpu.cpp
  4. 7
      modules/gapi/perf/cpu/gapi_core_perf_tests_fluid.cpp
  5. 3
      modules/gapi/perf/gpu/gapi_core_perf_tests_gpu.cpp
  6. 306
      modules/gapi/src/backends/fluid/gfluidcore.cpp
  7. 15
      modules/gapi/src/backends/fluid/gfluidcore_func.dispatch.cpp
  8. 23
      modules/gapi/src/backends/fluid/gfluidcore_func.hpp
  9. 50
      modules/gapi/src/backends/fluid/gfluidcore_func.simd.hpp

2
modules/gapi/perf/common/gapi_core_perf_tests.hpp
Unescape View File

@ -50,7 +50,7 @@ namespace opencv_test
class MinPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {}; class MinPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class MaxPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {}; class MaxPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class AbsDiffPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {}; class AbsDiffPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {};
class AbsDiffCPerfTest : public TestPerfParams<tuple<cv::Size, MatType, cv::GCompileArgs>> {}; class AbsDiffCPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, cv::GCompileArgs>> {};
class SumPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {}; class SumPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {};
class CountNonZeroPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {}; class CountNonZeroPerfTest : public TestPerfParams<tuple<compare_scalar_f, cv::Size, MatType, cv::GCompileArgs>> {};
class AddWeightedPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, int, cv::GCompileArgs>> {}; class AddWeightedPerfTest : public TestPerfParams<tuple<compare_f, cv::Size, MatType, int, cv::GCompileArgs>> {};

12
modules/gapi/perf/common/gapi_core_perf_tests_inl.hpp
Unescape View File

@ -970,9 +970,10 @@ PERF_TEST_P_(AbsDiffPerfTest, TestPerformance)
PERF_TEST_P_(AbsDiffCPerfTest, TestPerformance) PERF_TEST_P_(AbsDiffCPerfTest, TestPerformance)
{ {
cv::Size sz_in = get<0>(GetParam()); compare_f cmpF = get<0>(GetParam());
MatType type = get<1>(GetParam()); cv::Size sz_in = get<1>(GetParam());
cv::GCompileArgs compile_args = get<2>(GetParam()); MatType type = get<2>(GetParam());
cv::GCompileArgs compile_args = get<3>(GetParam());
initMatsRandU(type, sz_in, type, false); initMatsRandU(type, sz_in, type, false);
@ -997,8 +998,9 @@ PERF_TEST_P_(AbsDiffCPerfTest, TestPerformance)
} }
// Comparison //////////////////////////////////////////////////////////// // Comparison ////////////////////////////////////////////////////////////
// FIXIT unrealiable check: EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv)); {
EXPECT_EQ(out_mat_gapi.size(), sz_in); EXPECT_TRUE(cmpF(out_mat_gapi, out_mat_ocv));
}
SANITY_CHECK_NOTHING(); SANITY_CHECK_NOTHING();
} }

3
modules/gapi/perf/cpu/gapi_core_perf_tests_cpu.cpp
Unescape View File

@ -156,7 +156,8 @@ INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestCPU, AbsDiffPerfTest,
Values(cv::compile_args(CORE_CPU)))); Values(cv::compile_args(CORE_CPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest, INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestCPU, AbsDiffCPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p), Combine(Values(AbsExact().to_compare_f()),
Values(szSmall128, szVGA, sz720p, sz1080p),
Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1), Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::compile_args(CORE_CPU)))); Values(cv::compile_args(CORE_CPU))));

7
modules/gapi/perf/cpu/gapi_core_perf_tests_fluid.cpp
Unescape View File

@ -153,10 +153,9 @@ INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestFluid, AbsDiffPerfTest,
Values(cv::compile_args(CORE_FLUID)))); Values(cv::compile_args(CORE_FLUID))));
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestFluid, AbsDiffCPerfTest, INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestFluid, AbsDiffCPerfTest,
Combine(Values(szSmall128, szVGA, sz720p, sz1080p), Combine(Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_f()),
Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_8UC2, Values(szSmall128, szVGA, sz720p, sz1080p),
CV_16UC2, CV_16SC2, CV_8UC3, CV_16UC3, Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
CV_16SC3, CV_8UC4, CV_16UC4, CV_16SC4),
Values(cv::compile_args(CORE_FLUID)))); Values(cv::compile_args(CORE_FLUID))));
// INSTANTIATE_TEST_CASE_P(SumPerfTestFluid, SumPerfTest, // INSTANTIATE_TEST_CASE_P(SumPerfTestFluid, SumPerfTest,

3
modules/gapi/perf/gpu/gapi_core_perf_tests_gpu.cpp
Unescape View File

@ -154,7 +154,8 @@ INSTANTIATE_TEST_CASE_P(AbsDiffPerfTestGPU, AbsDiffPerfTest,
Values(cv::compile_args(CORE_GPU)))); Values(cv::compile_args(CORE_GPU))));
INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestGPU, AbsDiffCPerfTest, INSTANTIATE_TEST_CASE_P(AbsDiffCPerfTestGPU, AbsDiffCPerfTest,
Combine(Values( szSmall128, szVGA, sz720p, sz1080p ), Combine(Values(AbsExact().to_compare_f()),
Values( szSmall128, szVGA, sz720p, sz1080p ),
Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ), Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::compile_args(CORE_GPU)))); Values(cv::compile_args(CORE_GPU))));

306
modules/gapi/src/backends/fluid/gfluidcore.cpp
Unescape View File

@ -994,244 +994,6 @@ static void run_arithm_s(DST out[], const SRC in[], int width, int chan,
CV_Error(cv::Error::StsBadArg, "unsupported number of channels"); CV_Error(cv::Error::StsBadArg, "unsupported number of channels");
} }
#if CV_SIMD
CV_ALWAYS_INLINE void absdiffc_short_store_c1c2c4(short* out_ptr, const v_int32& c1, const v_int32& c2)
{
vx_store(out_ptr, v_pack(c1, c2));
}
CV_ALWAYS_INLINE void absdiffc_short_store_c1c2c4(ushort* out_ptr, const v_int32& c1, const v_int32& c2)
{
vx_store(out_ptr, v_pack_u(c1, c2));
}
template<typename T>
CV_ALWAYS_INLINE int absdiffc_simd_c1c2c4(const T in[], T out[],
const v_float32& s, const int length)
{
static_assert((std::is_same<T, ushort>::value) || (std::is_same<T, short>::value),
"This templated overload is only for short or ushort type combinations.");
constexpr int nlanes = (std::is_same<T, ushort>::value) ? static_cast<int>(v_uint16::nlanes) :
static_cast<int>(v_int16::nlanes);
if (length < nlanes)
return 0;
int x = 0;
for (;;)
{
for (; x <= length - nlanes; x += nlanes)
{
v_float32 a1 = v_load_f32(in + x);
v_float32 a2 = v_load_f32(in + x + nlanes / 2);
absdiffc_short_store_c1c2c4(&out[x], v_round(v_absdiff(a1, s)),
v_round(v_absdiff(a2, s)));
}
if (x < length && (in != out))
{
x = length - nlanes;
continue; // process unaligned tail
}
break;
}
return x;
}
template<>
CV_ALWAYS_INLINE int absdiffc_simd_c1c2c4<uchar>(const uchar in[], uchar out[],
const v_float32& s, const int length)
{
constexpr int nlanes = static_cast<int>(v_uint8::nlanes);
if (length < nlanes)
return 0;
int x = 0;
for (;;)
{
for (; x <= length - nlanes; x += nlanes)
{
v_float32 a1 = v_load_f32(in + x);
v_float32 a2 = v_load_f32(in + x + nlanes / 4);
v_float32 a3 = v_load_f32(in + x + nlanes / 2);
v_float32 a4 = v_load_f32(in + x + 3 * nlanes / 4);
vx_store(&out[x], v_pack_u(v_pack(v_round(v_absdiff(a1, s)),
v_round(v_absdiff(a2, s))),
v_pack(v_round(v_absdiff(a3, s)),
v_round(v_absdiff(a4, s)))));
}
if (x < length && (in != out))
{
x = length - nlanes;
continue; // process unaligned tail
}
break;
}
return x;
}
CV_ALWAYS_INLINE void absdiffc_short_store_c3(short* out_ptr, const v_int32& c1,
const v_int32& c2, const v_int32& c3,
const v_int32& c4, const v_int32& c5,
const v_int32& c6)
{
constexpr int nlanes = static_cast<int>(v_int16::nlanes);
vx_store(out_ptr, v_pack(c1, c2));
vx_store(out_ptr + nlanes, v_pack(c3, c4));
vx_store(out_ptr + 2*nlanes, v_pack(c5, c6));
}
CV_ALWAYS_INLINE void absdiffc_short_store_c3(ushort* out_ptr, const v_int32& c1,
const v_int32& c2, const v_int32& c3,
const v_int32& c4, const v_int32& c5,
const v_int32& c6)
{
constexpr int nlanes = static_cast<int>(v_uint16::nlanes);
vx_store(out_ptr, v_pack_u(c1, c2));
vx_store(out_ptr + nlanes, v_pack_u(c3, c4));
vx_store(out_ptr + 2*nlanes, v_pack_u(c5, c6));
}
template<typename T>
CV_ALWAYS_INLINE int absdiffc_simd_c3_impl(const T in[], T out[],
const v_float32& s1, const v_float32& s2,
const v_float32& s3, const int length)
{
static_assert((std::is_same<T, ushort>::value) || (std::is_same<T, short>::value),
"This templated overload is only for short or ushort type combinations.");
constexpr int nlanes = (std::is_same<T, ushort>::value) ? static_cast<int>(v_uint16::nlanes):
static_cast<int>(v_int16::nlanes);
if (length < 3 * nlanes)
return 0;
int x = 0;
for (;;)
{
for (; x <= length - 3 * nlanes; x += 3 * nlanes)
{
v_float32 a1 = v_load_f32(in + x);
v_float32 a2 = v_load_f32(in + x + nlanes / 2);
v_float32 a3 = v_load_f32(in + x + nlanes);
v_float32 a4 = v_load_f32(in + x + 3 * nlanes / 2);
v_float32 a5 = v_load_f32(in + x + 2 * nlanes);
v_float32 a6 = v_load_f32(in + x + 5 * nlanes / 2);
absdiffc_short_store_c3(&out[x], v_round(v_absdiff(a1, s1)),
v_round(v_absdiff(a2, s2)),
v_round(v_absdiff(a3, s3)),
v_round(v_absdiff(a4, s1)),
v_round(v_absdiff(a5, s2)),
v_round(v_absdiff(a6, s3)));
}
if (x < length && (in != out))
{
x = length - 3 * nlanes;
continue; // process unaligned tail
}
break;
}
return x;
}
template<>
CV_ALWAYS_INLINE int absdiffc_simd_c3_impl<uchar>(const uchar in[], uchar out[],
const v_float32& s1, const v_float32& s2,
const v_float32& s3, const int length)
{
constexpr int nlanes = static_cast<int>(v_uint8::nlanes);
if (length < 3 * nlanes)
return 0;
int x = 0;
for (;;)
{
for (; x <= length - 3 * nlanes; x += 3 * nlanes)
{
vx_store(&out[x],
v_pack_u(v_pack(v_round(v_absdiff(v_load_f32(in + x), s1)),
v_round(v_absdiff(v_load_f32(in + x + nlanes/4), s2))),
v_pack(v_round(v_absdiff(v_load_f32(in + x + nlanes/2), s3)),
v_round(v_absdiff(v_load_f32(in + x + 3*nlanes/4), s1)))));
vx_store(&out[x + nlanes],
v_pack_u(v_pack(v_round(v_absdiff(v_load_f32(in + x + nlanes), s2)),
v_round(v_absdiff(v_load_f32(in + x + 5*nlanes/4), s3))),
v_pack(v_round(v_absdiff(v_load_f32(in + x + 3*nlanes/2), s1)),
v_round(v_absdiff(v_load_f32(in + x + 7*nlanes/4), s2)))));
vx_store(&out[x + 2 * nlanes],
v_pack_u(v_pack(v_round(v_absdiff(v_load_f32(in + x + 2*nlanes), s3)),
v_round(v_absdiff(v_load_f32(in + x + 9*nlanes/4), s1))),
v_pack(v_round(v_absdiff(v_load_f32(in + x + 5*nlanes/2), s2)),
v_round(v_absdiff(v_load_f32(in + x + 11*nlanes/4), s3)))));
}
if (x < length && (in != out))
{
x = length - 3 * nlanes;
continue; // process unaligned tail
}
break;
}
return x;
}
template<typename T>
CV_ALWAYS_INLINE int absdiffc_simd_channels(const T in[], const float scalar[], T out[],
const int width, int chan)
{
int length = width * chan;
v_float32 s = vx_load(scalar);
return absdiffc_simd_c1c2c4(in, out, s, length);
}
template<typename T>
CV_ALWAYS_INLINE int absdiffc_simd_c3(const T in[], const float scalar[], T out[], int width)
{
constexpr int chan = 3;
int length = width * chan;
v_float32 s1 = vx_load(scalar);
#if CV_SIMD_WIDTH == 32
v_float32 s2 = vx_load(scalar + 2);
v_float32 s3 = vx_load(scalar + 1);
#else
v_float32 s2 = vx_load(scalar + 1);
v_float32 s3 = vx_load(scalar + 2);
#endif
return absdiffc_simd_c3_impl(in, out, s1, s2, s3, length);
}
template<typename T>
CV_ALWAYS_INLINE int absdiffc_simd(const T in[], const float scalar[], T out[], int width, int chan)
{
switch (chan)
{
case 1:
case 2:
case 4:
return absdiffc_simd_channels(in, scalar, out, width, chan);
case 3:
return absdiffc_simd_c3(in, scalar, out, width);
default:
break;
}
return 0;
}
#endif // CV_SIMD
template<typename DST, typename SRC> template<typename DST, typename SRC>
static void run_absdiffc(Buffer &dst, const View &src, const float scalar[]) static void run_absdiffc(Buffer &dst, const View &src, const float scalar[])
{ {
@ -1240,13 +1002,14 @@ static void run_absdiffc(Buffer &dst, const View &src, const float scalar[])
int width = dst.length(); int width = dst.length();
int chan = dst.meta().chan; int chan = dst.meta().chan;
const int length = width * chan;
int w = 0; int w = 0;
#if CV_SIMD #if CV_SIMD
w = absdiffc_simd(in, scalar, out, width, chan); w = absdiffc_simd(in, scalar, out, length, chan);
#endif #endif
for (; w < width*chan; ++w) for (; w < length; ++w)
out[w] = absdiff<DST>(in[w], scalar[w%chan]); out[w] = absdiff<DST>(in[w], scalar[w%chan]);
} }
@ -1349,6 +1112,32 @@ static void run_arithm_rs(Buffer &dst, const View &src, const float scalar[4], A
} }
} }
CV_ALWAYS_INLINE void initScratchBuffer(Buffer& scratch)
{
#if CV_SIMD
// 512 bits / 32 bits = 16 elements of float32 can contain a AVX 512 SIMD vector.
constexpr int maxNlanes = 16;
// +2 is offset for 3-channel case.
// Offset is need to right load coefficients from scalar array to SIMD vectors for 3-channel case.
// Scalar array looks like: scalar[] = {C1, C2, C3, C1, C2, C3, ...}
// The first scalar SIMD vector should looks like:
// C1 C2 C3 C1
// The second:
// C2 C3 C1 C2
// The third:
// C3 C1 C2 C3
constexpr int offset = 2;
constexpr int buflen = maxNlanes + offset;
#else
constexpr int buflen = 4;
#endif
cv::Size bufsize(buflen, 1);
GMatDesc bufdesc = { CV_32F, 1, bufsize };
Buffer buffer(bufdesc);
scratch = std::move(buffer);
}
GAPI_FLUID_KERNEL(GFluidAbsDiffC, cv::gapi::core::GAbsDiffC, true) GAPI_FLUID_KERNEL(GFluidAbsDiffC, cv::gapi::core::GAbsDiffC, true)
{ {
static const int Window = 1; static const int Window = 1;
@ -1370,21 +1159,14 @@ GAPI_FLUID_KERNEL(GFluidAbsDiffC, cv::gapi::core::GAbsDiffC, true)
UNARY_(uchar, uchar, run_absdiffc, dst, src, scalar); UNARY_(uchar, uchar, run_absdiffc, dst, src, scalar);
UNARY_(ushort, ushort, run_absdiffc, dst, src, scalar); UNARY_(ushort, ushort, run_absdiffc, dst, src, scalar);
UNARY_(short, short, run_absdiffc, dst, src, scalar); UNARY_(short, short, run_absdiffc, dst, src, scalar);
UNARY_(float, float, run_absdiffc, dst, src, scalar);
CV_Error(cv::Error::StsBadArg, "unsupported combination of types"); CV_Error(cv::Error::StsBadArg, "unsupported combination of types");
} }
static void initScratch(const GMatDesc&, const GScalarDesc&, Buffer& scratch) static void initScratch(const GMatDesc&, const GScalarDesc&, Buffer& scratch)
{ {
#if CV_SIMD initScratchBuffer(scratch);
constexpr int buflen = static_cast<int>(v_float32::nlanes) + 2; // buffer size
#else
constexpr int buflen = 4;
#endif
cv::Size bufsize(buflen, 1);
GMatDesc bufdesc = { CV_32F, 1, bufsize };
Buffer buffer(bufdesc);
scratch = std::move(buffer);
} }
static void resetScratch(Buffer& /* scratch */) static void resetScratch(Buffer& /* scratch */)
@ -1392,32 +1174,6 @@ GAPI_FLUID_KERNEL(GFluidAbsDiffC, cv::gapi::core::GAbsDiffC, true)
} }
}; };
CV_ALWAYS_INLINE void initScratchBuffer(Buffer& scratch)
{
#if CV_SIMD
// 512 bits / 32 bits = 16 elements of float32 can contain a AVX 512 SIMD vector.
constexpr int maxNlanes = 16;
// +2 is offset for 3-channel case.
// Offset is need to right load coefficients from scalar array to SIMD vectors for 3-channel case.
// Scalar array looks like: scalar[] = {C1, C2, C3, C1, C2, C3, ...}
// The first scalar SIMD vector should looks like:
// C1 C2 C3 C1
// The second:
// C2 C3 C1 C2
// The third:
// C3 C1 C2 C3
constexpr int offset = 2;
constexpr int buflen = maxNlanes + offset;
#else
constexpr int buflen = 4;
#endif
cv::Size bufsize(buflen, 1);
GMatDesc bufdesc = { CV_32F, 1, bufsize };
Buffer buffer(bufdesc);
scratch = std::move(buffer);
}
GAPI_FLUID_KERNEL(GFluidAddC, cv::gapi::core::GAddC, true) GAPI_FLUID_KERNEL(GFluidAddC, cv::gapi::core::GAddC, true)
{ {
static const int Window = 1; static const int Window = 1;

15
modules/gapi/src/backends/fluid/gfluidcore_func.dispatch.cpp
Unescape View File

@ -165,6 +165,21 @@ MULC_SIMD(float, float)
#undef MULC_SIMD #undef MULC_SIMD
#define ABSDIFFC_SIMD(SRC) \
int absdiffc_simd(const SRC in[], const float scalar[], SRC out[], \
const int length, const int chan) \
{ \
CV_CPU_DISPATCH(absdiffc_simd, (in, scalar, out, length, chan), \
CV_CPU_DISPATCH_MODES_ALL); \
}
ABSDIFFC_SIMD(uchar)
ABSDIFFC_SIMD(short)
ABSDIFFC_SIMD(ushort)
ABSDIFFC_SIMD(float)
#undef ABSDIFFC_SIMD
} // namespace fluid } // namespace fluid
} // namespace gapi } // namespace gapi
} // namespace cv } // namespace cv

23
modules/gapi/src/backends/fluid/gfluidcore_func.hpp
Unescape View File

@ -60,8 +60,8 @@ MUL_SIMD(float, float)
#undef MUL_SIMD #undef MUL_SIMD
#define ADDC_SIMD(SRC, DST) \ #define ADDC_SIMD(SRC, DST) \
int addc_simd(const SRC in[], const float scalar[], DST out[], \ int addc_simd(const SRC in[], const float scalar[], DST out[], \
const int length, const int chan); const int length, const int chan);
ADDC_SIMD(uchar, uchar) ADDC_SIMD(uchar, uchar)
@ -83,8 +83,8 @@ ADDC_SIMD(float, float)
#undef ADDC_SIMD #undef ADDC_SIMD
#define SUBC_SIMD(SRC, DST) \ #define SUBC_SIMD(SRC, DST) \
int subc_simd(const SRC in[], const float scalar[], DST out[], \ int subc_simd(const SRC in[], const float scalar[], DST out[], \
const int length, const int chan); const int length, const int chan);
SUBC_SIMD(uchar, uchar) SUBC_SIMD(uchar, uchar)
@ -106,8 +106,8 @@ SUBC_SIMD(float, float)
#undef SUBC_SIMD #undef SUBC_SIMD
#define MULC_SIMD(SRC, DST) \ #define MULC_SIMD(SRC, DST) \
int mulc_simd(const SRC in[], const float scalar[], DST out[], \ int mulc_simd(const SRC in[], const float scalar[], DST out[], \
const int length, const int chan, const float scale); const int length, const int chan, const float scale);
MULC_SIMD(uchar, uchar) MULC_SIMD(uchar, uchar)
@ -129,6 +129,17 @@ MULC_SIMD(float, float)
#undef MULC_SIMD #undef MULC_SIMD
#define ABSDIFFC_SIMD(T) \
int absdiffc_simd(const T in[], const float scalar[], T out[], \
const int length, const int chan);
ABSDIFFC_SIMD(uchar)
ABSDIFFC_SIMD(short)
ABSDIFFC_SIMD(ushort)
ABSDIFFC_SIMD(float)
#undef ABSDIFFC_SIMD
} // namespace fluid } // namespace fluid
} // namespace gapi } // namespace gapi
} // namespace cv } // namespace cv

50
modules/gapi/src/backends/fluid/gfluidcore_func.simd.hpp
Unescape View File

@ -151,6 +151,17 @@ MULC_SIMD(float, float)
#undef MULC_SIMD #undef MULC_SIMD
#define ABSDIFFC_SIMD(T) \
int absdiffc_simd(const T in[], const float scalar[], T out[], \
const int length, const int chan);
ABSDIFFC_SIMD(uchar)
ABSDIFFC_SIMD(short)
ABSDIFFC_SIMD(ushort)
ABSDIFFC_SIMD(float)
#undef ABSDIFFC_SIMD
#ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY #ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
struct scale_tag {}; struct scale_tag {};
@ -901,6 +912,7 @@ MUL_SIMD(float, float)
struct add_tag {}; struct add_tag {};
struct sub_tag {}; struct sub_tag {};
struct mul_tag {}; struct mul_tag {};
struct absdiff_tag {};
CV_ALWAYS_INLINE void arithmOpScalar_pack_store_c3(short* outx, const v_int32& c1, CV_ALWAYS_INLINE void arithmOpScalar_pack_store_c3(short* outx, const v_int32& c1,
const v_int32& c2, const v_int32& c3, const v_int32& c2, const v_int32& c3,
@ -938,6 +950,12 @@ CV_ALWAYS_INLINE v_float32 oper(mul_tag, const v_float32& a, const v_float32& sc
{ {
return a * sc; return a * sc;
} }
CV_ALWAYS_INLINE v_float32 oper(absdiff_tag, const v_float32& a, const v_float32& sc)
{
return v_absdiff(a, sc);
}
//------------------------------------------------------------------------------------------------- //-------------------------------------------------------------------------------------------------
template<typename oper_tag, typename SRC, typename DST> template<typename oper_tag, typename SRC, typename DST>
@ -1450,6 +1468,38 @@ MULC_SIMD(float, float)
#undef MULC_SIMD #undef MULC_SIMD
//-------------------------
//
// Fluid kernels: AbsDiffC
//
//-------------------------
#define ABSDIFFC_SIMD(SRC) \
int absdiffc_simd(const SRC in[], const float scalar[], SRC out[], \
const int length, const int chan) \
{ \
switch (chan) \
{ \
case 1: \
case 2: \
case 4: \
return arithmOpScalar_simd_common(absdiff_tag{}, in, scalar, out, length); \
case 3: \
return arithmOpScalar_simd_c3(absdiff_tag{}, in, scalar, out, length); \
default: \
GAPI_Assert(chan <= 4); \
break; \
} \
return 0; \
}
ABSDIFFC_SIMD(uchar)
ABSDIFFC_SIMD(short)
ABSDIFFC_SIMD(ushort)
ABSDIFFC_SIMD(float)
#undef ABSDIFFC_SIMD
#endif // CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY #endif // CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
CV_CPU_OPTIMIZATION_NAMESPACE_END CV_CPU_OPTIMIZATION_NAMESPACE_END

Write Preview
Loading…
Cancel
Save