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cmake: AVX512 -> AVX_512F

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This commit is contained in:
Alexander Alekhin 2017-12-28 02:16:42 +00:00
parent 2938860b3f
commit 898ca38257
7 changed files with 34 additions and 33 deletions
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17
cmake/OpenCVCompilerOptimizations.cmake
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@ -2,7 +2,7 @@
# SSE / SSE2 (always available on 64-bit CPUs)
# SSE3 / SSSE3
# SSE4_1 / SSE4_2 / POPCNT
# AVX / AVX2 / AVX512
# AVX / AVX2 / AVX_512F
# FMA3
# CPU_{opt}_SUPPORTED=ON/OFF - compiler support (possibly with additional flag)
@ -26,7 +26,7 @@
#
# CPU_DISPATCH_FLAGS_${opt} - flags for source files compiled separately (<name>.avx2.cpp)
set(CPU_ALL_OPTIMIZATIONS "SSE;SSE2;SSE3;SSSE3;SSE4_1;SSE4_2;POPCNT;AVX;FP16;AVX2;FMA3;AVX512")
set(CPU_ALL_OPTIMIZATIONS "SSE;SSE2;SSE3;SSSE3;SSE4_1;SSE4_2;POPCNT;AVX;FP16;AVX2;FMA3;AVX_512F")
list(APPEND CPU_ALL_OPTIMIZATIONS NEON VFPV3 FP16)
list(APPEND CPU_ALL_OPTIMIZATIONS VSX)
list(REMOVE_DUPLICATES CPU_ALL_OPTIMIZATIONS)
@ -145,7 +145,7 @@ elseif(" ${CMAKE_CXX_FLAGS} " MATCHES " -march=native | -xHost | /QxHost ")
endif()
if(X86 OR X86_64)
ocv_update(CPU_KNOWN_OPTIMIZATIONS "SSE;SSE2;SSE3;SSSE3;SSE4_1;POPCNT;SSE4_2;FP16;FMA3;AVX;AVX2;AVX512")
ocv_update(CPU_KNOWN_OPTIMIZATIONS "SSE;SSE2;SSE3;SSSE3;SSE4_1;POPCNT;SSE4_2;FP16;FMA3;AVX;AVX2;AVX_512F")
ocv_update(CPU_SSE_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_sse.cpp")
ocv_update(CPU_SSE2_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_sse2.cpp")
@ -157,11 +157,11 @@ if(X86 OR X86_64)
ocv_update(CPU_AVX_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_avx.cpp")
ocv_update(CPU_AVX2_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_avx2.cpp")
ocv_update(CPU_FP16_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_fp16.cpp")
ocv_update(CPU_AVX512_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_avx512.cpp")
ocv_update(CPU_AVX_512F_TEST_FILE "${OpenCV_SOURCE_DIR}/cmake/checks/cpu_avx512.cpp")
if(NOT OPENCV_CPU_OPT_IMPLIES_IGNORE)
ocv_update(CPU_AVX512_IMPLIES "AVX2")
ocv_update(CPU_AVX512_FORCE "") # Don't force other optimizations
ocv_update(CPU_AVX_512F_IMPLIES "AVX2")
ocv_update(CPU_AVX_512F_FORCE "") # Don't force other optimizations
ocv_update(CPU_AVX2_IMPLIES "AVX;FMA3;FP16")
ocv_update(CPU_FMA3_IMPLIES "AVX2")
ocv_update(CPU_FMA3_FORCE "") # Don't force other optimizations
@ -205,7 +205,7 @@ if(X86 OR X86_64)
if(NOT X86_64) # x64 compiler doesn't support /arch:sse
ocv_intel_compiler_optimization_option(SSE "-msse" "/arch:SSE")
endif()
#ocv_intel_compiler_optimization_option(AVX512 "-march=core-avx512")
ocv_intel_compiler_optimization_option(AVX_512F "-march=common-avx512" "/arch:COMMON-AVX512")
elseif(CMAKE_COMPILER_IS_GNUCXX)
ocv_update(CPU_AVX2_FLAGS_ON "-mavx2")
ocv_update(CPU_FP16_FLAGS_ON "-mf16c")
@ -219,7 +219,8 @@ if(X86 OR X86_64)
ocv_update(CPU_SSE2_FLAGS_ON "-msse2")
ocv_update(CPU_SSE_FLAGS_ON "-msse")
if(NOT CMAKE_CXX_COMPILER_VERSION VERSION_LESS "5.0")
ocv_update(CPU_AVX512_FLAGS_ON "-mavx512f -mavx512pf -mavx512er -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi")
# -mavx512f -mavx512pf -mavx512er -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi
ocv_update(CPU_AVX_512F_FLAGS_ON "-mavx512f")
endif()
elseif(MSVC)
ocv_update(CPU_AVX2_FLAGS_ON "/arch:AVX2")

4
modules/core/include/opencv2/core/cv_cpu_dispatch.h
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@ -82,9 +82,9 @@
# include <immintrin.h>
# define CV_AVX2 1
#endif
#ifdef CV_CPU_COMPILE_AVX512
#ifdef CV_CPU_COMPILE_AVX_512F
# include <immintrin.h>
# define CV_AVX512 1
# define CV_AVX_512F 1
#endif
#ifdef CV_CPU_COMPILE_FMA3
# define CV_FMA3 1

24
modules/core/include/opencv2/core/cv_cpu_helper.h
View File

@ -165,20 +165,20 @@
#endif
#define __CV_CPU_DISPATCH_CHAIN_FMA3(fn, args, mode, ...) CV_CPU_CALL_FMA3(fn, args); __CV_EXPAND(__CV_CPU_DISPATCH_CHAIN_ ## mode(fn, args, __VA_ARGS__))
#if !defined CV_DISABLE_OPTIMIZATION && defined CV_ENABLE_INTRINSICS && defined CV_CPU_COMPILE_AVX512
# define CV_TRY_AVX512 1
# define CV_CPU_HAS_SUPPORT_AVX512 1
# define CV_CPU_CALL_AVX512(fn, args) return (opt_AVX512::fn args)
#elif !defined CV_DISABLE_OPTIMIZATION && defined CV_ENABLE_INTRINSICS && defined CV_CPU_DISPATCH_COMPILE_AVX512
# define CV_TRY_AVX512 1
# define CV_CPU_HAS_SUPPORT_AVX512 (cv::checkHardwareSupport(CV_CPU_AVX512))
# define CV_CPU_CALL_AVX512(fn, args) if (CV_CPU_HAS_SUPPORT_AVX512) return (opt_AVX512::fn args)
#if !defined CV_DISABLE_OPTIMIZATION && defined CV_ENABLE_INTRINSICS && defined CV_CPU_COMPILE_AVX_512F
# define CV_TRY_AVX_512F 1
# define CV_CPU_HAS_SUPPORT_AVX_512F 1
# define CV_CPU_CALL_AVX_512F(fn, args) return (opt_AVX_512F::fn args)
#elif !defined CV_DISABLE_OPTIMIZATION && defined CV_ENABLE_INTRINSICS && defined CV_CPU_DISPATCH_COMPILE_AVX_512F
# define CV_TRY_AVX_512F 1
# define CV_CPU_HAS_SUPPORT_AVX_512F (cv::checkHardwareSupport(CV_CPU_AVX_512F))
# define CV_CPU_CALL_AVX_512F(fn, args) if (CV_CPU_HAS_SUPPORT_AVX_512F) return (opt_AVX_512F::fn args)
#else
# define CV_TRY_AVX512 0
# define CV_CPU_HAS_SUPPORT_AVX512 0
# define CV_CPU_CALL_AVX512(fn, args)
# define CV_TRY_AVX_512F 0
# define CV_CPU_HAS_SUPPORT_AVX_512F 0
# define CV_CPU_CALL_AVX_512F(fn, args)
#endif
#define __CV_CPU_DISPATCH_CHAIN_AVX512(fn, args, mode, ...) CV_CPU_CALL_AVX512(fn, args); __CV_EXPAND(__CV_CPU_DISPATCH_CHAIN_ ## mode(fn, args, __VA_ARGS__))
#define __CV_CPU_DISPATCH_CHAIN_AVX_512F(fn, args, mode, ...) CV_CPU_CALL_AVX_512F(fn, args); __CV_EXPAND(__CV_CPU_DISPATCH_CHAIN_ ## mode(fn, args, __VA_ARGS__))
#if !defined CV_DISABLE_OPTIMIZATION && defined CV_ENABLE_INTRINSICS && defined CV_CPU_COMPILE_NEON
# define CV_TRY_NEON 1

2
modules/dnn/CMakeLists.txt
View File

@ -13,7 +13,7 @@ endif()
set(the_description "Deep neural network module. It allows to load models from different frameworks and to make forward pass")
ocv_add_dispatched_file("layers/layers_common" AVX AVX2 AVX512)
ocv_add_dispatched_file("layers/layers_common" AVX AVX2 AVX_512F)
ocv_add_module(dnn opencv_core opencv_imgproc WRAP python matlab java js)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-shadow -Wno-parentheses -Wmaybe-uninitialized -Wsign-promo

12
modules/dnn/src/layers/convolution_layer.cpp
View File

@ -384,7 +384,7 @@ public:
p.is1x1_ = kernel == Size(0,0) && pad == Size(0, 0);
p.useAVX = checkHardwareSupport(CPU_AVX);
p.useAVX2 = checkHardwareSupport(CPU_AVX2);
p.useAVX512 = checkHardwareSupport(CPU_AVX_512DQ);
p.useAVX512 = CV_CPU_HAS_SUPPORT_AVX_512F;
int ncn = std::min(inpCn, (int)BLK_SIZE_CN);
p.ofstab_.resize(kernel.width*kernel.height*ncn);
@ -564,10 +564,10 @@ public:
// now compute dot product of the weights
// and im2row-transformed part of the tensor
int bsz = ofs1 - ofs0;
#if CV_TRY_AVX512
#if CV_TRY_AVX_512F
/* AVX512 convolution requires an alignment of 16, and ROI is only there for larger vector sizes */
if(useAVX512)
opt_AVX512::fastConv(wptr, wstep, biasptr, rowbuf0, data_out0 + ofs0,
opt_AVX_512F::fastConv(wptr, wstep, biasptr, rowbuf0, data_out0 + ofs0,
outShape, bsz, vsz, vsz_a, relu, cn0 == 0);
else
#endif
@ -1102,7 +1102,7 @@ public:
nstripes_ = nstripes;
useAVX = checkHardwareSupport(CPU_AVX);
useAVX2 = checkHardwareSupport(CPU_AVX2);
useAVX512 = checkHardwareSupport(CPU_AVX_512DQ);
useAVX512 = CV_CPU_HAS_SUPPORT_AVX_512F;
}
void operator()(const Range& range_) const
@ -1120,9 +1120,9 @@ public:
size_t bstep = b_->step1();
size_t cstep = c_->step1();
#if CV_TRY_AVX512
#if CV_TRY_AVX_512F
if( useAVX512 )
opt_AVX512::fastGEMM( aptr, astep, bptr, bstep, cptr, cstep, mmax, kmax, nmax );
opt_AVX_512F::fastGEMM( aptr, astep, bptr, bstep, cptr, cstep, mmax, kmax, nmax );
else
#endif
#if CV_TRY_AVX2

6
modules/dnn/src/layers/fully_connected_layer.cpp
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@ -161,7 +161,7 @@ public:
p.activ = activ;
p.useAVX = checkHardwareSupport(CPU_AVX);
p.useAVX2 = checkHardwareSupport(CPU_AVX2);
p.useAVX512 = checkHardwareSupport(CPU_AVX_512DQ);
p.useAVX512 = CV_CPU_HAS_SUPPORT_AVX_512F;
parallel_for_(Range(0, nstripes), p, nstripes);
}
@ -196,9 +196,9 @@ public:
memcpy(sptr, sptr_, vecsize*sizeof(sptr[0]));
#if CV_TRY_AVX512
#if CV_TRY_AVX_512F
if( useAVX512 )
opt_AVX512::fastGEMM1T( sptr, wptr, wstep, biasptr, dptr, nw, vecsize);
opt_AVX_512F::fastGEMM1T( sptr, wptr, wstep, biasptr, dptr, nw, vecsize);
else
#endif
#if CV_TRY_AVX2

2
modules/dnn/src/layers/layers_common.simd.hpp
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@ -301,7 +301,7 @@ void fastGEMM( const float* aptr, size_t astep, const float* bptr,
{
int n = 0;
#ifdef CV_AVX512
#if CV_AVX_512F
for( ; n <= nb - 32; n += 32 )
{
for( int m = 0; m < ma; m += 4 )