dynamic load mkl as a fft backend when it is avaialble and requested #36414
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September 27, 2021 11:40
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2. use macro MKL_DFTI_CHECK instead of a function.
jeff41404
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* update fft api path (#36219) * update fft api path * add sample code for ihfft2 Co-authored-by: chenfeiyu <chenfeiyu@baidu.com> * fix fft axis (#36321) fix: `-1` is used when fft's axis is `0` * use unified external error message for cufft api (#36114) * fft: modify sample code result (#36325) * dynamic load mkl as a fft backend when it is avaialble and requested (#36414) * add rocm support for fft api (#36415) * move signal apis * move fft and signal API path (#2) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos in signal.py (#3) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * disable Cache when CUFFT_VERSION >= 10200 (#4) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * Add LRUCache for fft plans * add LRUCache for cuff and hipfft (#5) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * WIP: add cache * delete move constructor and operator= for CuFFTHandle and FFTConfig * remove log from CuFFTHandle and FFTConfig * add lrucache for fft rocm backend * disable LRUCache when CUFFT_VERSION >= 10200 * disbale copy and move for hipFFTHandle; format code Co-authored-by: Xiaoxu Chen <chenxx_id@163.com> * remove debug message of cufftHandler * roll_op: support Tensor as input for shifts (#36727) * fix fftshift/ifftshift on static mode * update roll_op version * add more test cases for fftshift/ifftshift Co-authored-by: zhiboniu <31800336+zhiboniu@users.noreply.github.com> Co-authored-by: chenfeiyu <chenfeiyu@baidu.com> Co-authored-by: LJQ❤️ <33169170+lijiaqi0612@users.noreply.github.com>
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Describe
Dynamically load dfti functions from onemkl.
Add mkl as a fft backend when it is avaialble and requested, refer to related pr #35665
To enable mkl as an fft backend, follow the steps below.
Install oneMKL
Download onemkl from intel's website
https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/onemkl/download.html
Install oneMKL
compile paddle with oneMKL support
-DWITH_ONEMKL=ONwhen generating build system for paddle.Add oneMKL's library path into $LD_LIBRARY_PATH
source setvars.shadd oneMKL's environment variables will be set up.You can add this to
.bashrc_profileor.bashrcto do this automatically.NOTE: oneMKL's library path must be included in $LD_LIBRARY_PATH to use mkl as a fft backend correctly.