LAPACK_INCLUDE_DIR: 'C:/Program Files (x86)/Intel/oneAPI/mkl/2021.1.1/include' I added -DTBB_DIR="$Env:TBB_DIR" -DTBB_ENV_INCLUDE="$Env:TBB_INCLUDE_DIR" -DTBB_ENV_LIB="$Env:TBB_LIB_DIR" The current cmake files do not take advantage of TBB_INCLUDE_DIR and TBB_LIB_DIR and do not add the include and lib directories to compile lapack_check.cpp. LINK : fatal error LNK1104: cannot open file 'tbb.lib' All rights reserved.Ĭl /c /I"C:\Program Files (x86)\Intel\oneAPI\mkl\2021.1.1\include" /I"I:\src\opencv-master\build" /Zi /W3 /WX- /diagnostics:column /MP /Od /Ob0 /Oi /D WIN32 /D _WINDOWS /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /D "CMAKE_INTDIR=\"Debug\"" /D _MBCS /Gm- /EHa /RTC1 /MDd /GS /Gy /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /GR /Fo"cmTC_30ccb.dir\Debug\\" /Fd"cmTC_30ccb.dir\Debug\vc142.pdb" /Gd /TP /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /errorReport:queue /bigobj "I:\src\opencv-master\opencv\cmake\checks\lapack_check.cpp" Microsoft (R) C/C Optimizing Compiler Version 4 for 圆4Ĭopyright (C) Microsoft Corporation. General configuration for OpenCV 3.3.1-dev =ĬMake build tool: C:/Program Files (x86)/Microsoft Visual Studio/2017/Enterprise/MSBuild/15.0/Bin/MSBuild.exe Turning OpenBLAS_FOUND offĪ library with BLAS API not found. Turning OpenBLAS_FOUND offĬould not find OpenBLAS lib. Logįound Intel IPP (ICV version): 2017.0.3 Īt: I:/opencv-master/build/3rdparty/ippicv/ippicv_winĪt: I:/opencv-master/build/3rdparty/ippicv/ippiw_winĬUDA NVCC target flags: -gencode arch=compute_52,code=sm_52 -D_FORCE_INLINESĬould not find OpenBLAS include. Using cmake (3.10.0rc3) from Windows, it couldn't configure correctly the MKL/bals/lapack part for the build configuration.īut it doesn't find includes, blas, lapack. Compiler => (Visual Studio 2017), Intel PSXE 2018 compilers as native compilers.Operating System / Platform => Windows 10 enterprise 64 Bit.Support for Intel® Advanced Matrix Extensions (Intel® AMX) bfloat16 data type and Intel® Advanced Vector Extensions 512 (Intel® AVX-512) float16 data type for the 4th generation Intel® Xeon® Scalable processor.Optimizations for Cholesky inverse, triangular matrix inverse, and batch group LU inverse on GPUs. ![]() Sparse BLAS optimizations for sparse::gemv() and sparse::gemm() across a wide range of matrix sizes and sparse::matmat() for small, medium, and large problem sizes.Gaussian inverse cumulative distribution function (ICDF)-based method and RNG optimizations of device APIs.FFTW3 Fortran OpenMP* offload APIs for real fast Fourier Transforms (FFT) and optimizations for 1D and 2D FFTs.Several optimizations and features on Intel® Data Center GPU Max Series:.Increased CUDA* library function API compatibility coverage for BLAS, LAPACK, sparse BLAS, vector math, summary statistics, splines, and more, easing code migration to oneAPI and Intel GPUs.Additional matrix multiply optimizations for next generation CPUs and GPUs including DGEMM, SGEMM, Systolic GEMM, DGETRF, DPOTRF, DGEQRF, FFT SP/DP, and RNG functions.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |