- 20 10月, 2021 2 次提交
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由 wuhuachaocoding 提交于
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由 Huihuang Zheng 提交于
Add CINN compile option in CMake. Now you can use CINN in Paddle by `-DWITH_CINN=ON` when `cmake` To test it, you can run `make cinn_lib_test -j` and `ctest -R cinn_lib_test`. Note: 1. You should set ``` export runtime_include_dir=${CINN_SOURCE_DIR}/cinn/runtime/cuda ``` When run test, the `${CINN_SOURCE_DIR}` should be set based on your CINN directory. 2. CINN is under developing now, you may have to change `CINN_GIT_TAG` to the git commit you need.
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- 19 10月, 2021 2 次提交
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由 Qi Li 提交于
* [NPU] update inference cmake, test=develop * address review comments, test=develop * fix compile error when WITH_ASCEND_CXX11 ON, test=develop
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由 Yulong Ao 提交于
* Add QR decomposition op * Change codes to adapt to new svd_helper * Update linalg.py Restore the deleted comma * Restore the deleted line * Update linalg.py * Update linalg.py * Improve the qr code by reviews * Update QR based on CI results * Update qr doc, test=document_fix * Change unsafe and ill-formed codes
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- 14 10月, 2021 2 次提交
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由 Wilber 提交于
* support bert when exists matmul_v2 * update
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由 Zhang Zheng 提交于
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- 11 10月, 2021 1 次提交
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由 Xiaoxu Chen 提交于
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- 28 9月, 2021 2 次提交
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由 Liu-xiandong 提交于
Add sparse_attention OPs, python api will be added in next pr
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由 Siming Dai 提交于
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- 27 9月, 2021 1 次提交
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由 Xiaoxu Chen 提交于
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- 24 9月, 2021 1 次提交
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由 Wilber 提交于
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- 23 9月, 2021 2 次提交
- 22 9月, 2021 2 次提交
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由 JingZhuangzhuang 提交于
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由 zhouweiwei2014 提交于
* support extern third_party lapack on Linux/Windows/Mac * fix ci
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- 18 9月, 2021 1 次提交
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由 Feiyu Chan 提交于
* 1. add interface for fft; 2. add data type predicate; 3. fix paddle.roll. * add fft c2c cufft kernel * implement argument checking & op calling parts for fft_c2c and fftn_c2c * add operator and opmaker definitions * only register float and double for cpu. * add common code for implementing FFT, add pocketfft as a dependency * add fft c2c cufft kernel function * fix bugs in python interface * add support for c2r, r2c operators, op makers, kernels and kernel functors. * test and fix bugs * 1. fft_c2c function: add support for onesided=False; 2. add complex<float>, complex<double> support for concat and flip. * 1. fft: fix python api bugs; 2. shape_op: add support for complex data types. * fft c2c cufft kernel done with complie and link * fix shape_op, add mkl placeholder * remove mkl * complete fft c2c in gpu * 1. implement mkl-based fft, FFTC2CFunctor and common function exec_fft; 2. change the design, add input and output typename as template parameter for all FFTFunctors, update pocketfft-based implementation. * complete fft c2c on gpu in ND * complete fft c2c on gpu in ND * complete fft c2c backward in ND * fix MKL-based implementation * Add frame op and CPU/GPU kernels. * Add frame op forward unittest. * Add frame op forward unittest. * Remove axis parameter in FrameFunctor. * Add frame op grad CPU/GPU kernels and unittest. * Add frame op grad CPU/GPU kernels and unittest. * Update doc string. * Update after review and remove librosa requirement in unittest. * Update grad kernel. * add fft_c2r op * Remove data allocation in TransCompute function. * add fft r2c onesided with cpu(pocketfft/mkl) and gpu * last fft c2r functor * fix C2R and R2C for cufft, becase the direction is not an option in these cases. * add fft r2c onesided with cpu(pocketfft/mkl) and gpu * fix bugs in python APIs * fix fft_c2r grad kernal * fix bugs in python APIs * add cuda fft c2r grad kernal functor * clean code * fix fft_c2r python API * fill fft r2c result with conjugate symmetry (#19) fill fft r2c result with conjugate symmetry * add placeholder for unittests (#24) * simple parameterize test function by auto generate test case from parm list (#25) * miscellaneous fixes for python APIs (#26) * add placeholder for unittests * resize fft inputs before computation is n or s is provided. * add complex kernels for pad and pad_grad * simplify argument checking. * add type promotion * add int to float or complex promotion * fix output data type for static mode * fix fft's input dtype dispatch, import fft to paddle * fix typos in axes checking (#27) * fix typos in axes checking * fix argument checking (#28) * fix argument checking * Add C2R Python layer normal and abnormal use cases (#29) * documents and single case * test c2r case * New C2R Python layer normal and exception use cases * complete rfft,rfft2,rfftn,ihfft,ihfft2,ihfftn unittest and doc string (#30) * Documentation of the common interfaces of c2r and c2c (#31) * Documentation of the common interfaces of c2r and c2c * clean c++ code (#32) * clean code * Add numpy-based implementation of spectral ops (#33) * add numpy reference implementation of spectral ops * Add fft_c2r numpy based implementation for unittest. (#34) * add fft_c2r numpy implementation * Add deframe op and stft/istft api. (#23) * Add frame api * Add deframe op and kernels. * Add stft and istft apis. * Add deframe api. Update stft and istft apis. * Fix bug in frame_from_librosa function when input dims >= 3 * Rename deframe to overlap_add. * Update istft. * Update after code review. * Add overlap_add op and stft/istft api unittest (#35) * Add overlap_add op unittest. * Register complex kernels of squeeze/unsquuze op. * Add stft/istft api unittest. * Add unittest for fft helper functions (#36) * add unittests for fft helper functions. add complex kernel for roll op. * complete static graph unittest for all public api (#37) * Unittest of op with FFT C2C, C2R and r2c added (#38) * documents and single case * test c2r case * New C2R Python layer normal and exception use cases * Documentation of the common interfaces of c2r and c2c * Unittest of op with FFT C2C, C2R and r2c added Co-authored-by: lijiaqi <lijiaqi0612@163.com> * add fft related options to CMakeLists.txt * fix typos and clean code (#39) * fix invisible character in mkl branch and fix error in error message * clean code: remove docstring from unittest for signal.py. * always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. (#40) * always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. * fix CI Errors: numpy dtype comparison, thrust when cuda is not available (#41) 1. always convert numpy array to paddle.Tensor to avoid comparing numpy dtype with paddle dtype. 2. promote floating point tensor to complex tensor ior fft_c2c and fft_c2r; 3. fix unittest to catch UnImplementedError and RuntimeError; 4. fix compile error by avoid using thrust when cuda is not available. 5. fix sample code, use paddle.fft instead of paddle.tensor.fft * remove inclusion of thrust, add __all__ list for fft (#42) * Add api doc and update unittest. (#43) * Add doc strings. * Update overlap_add op unittest * fix MKL-based FFT implementation (#44) * fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R * remove code for debug (#45) * use dynload for cufft (#46) * use std::ptrdiff_t as datatype of stride (instead of int64_t) to avoid argument mismatch on some platforms. * add complex support for fill_zeros_like * use dynload for cufft * Update doc and unittest. (#47) * Add doc of frame op and overlap_add op. * Update unittest. * use dynload for cufft (#48) 1. use dynload for cufft 2. fix unittest; 3. temporarily disable Rocm. * fix conflicts and merge upstream (#49) fix conflicts and merge upstream * fix compile error: only link dyload_cuda when cuda is available (#50) * fix compile error: only link dyload_cuda when cuda is available * fix dynload for cufft on windows (#51) 1. fix dynload for cufft on windows; 2. fix unittests. * add NOMINMAX to compile on windows (#52) add NOMINMAX to compile on windows * explicitly specify capture mode for lambdas (#55) explicitly specify capture mode for lambdas * fix fft sample (#53) * fix fft sample * update scipy and numpy version for unittests of fft (#56) update scipy and numpy version for unittests of fft * Add static graph unittests of frame and overlap_add api. (#57) * Remove cache of cuFFT & Disable ONEMKL (#59) 1. replace numpy.fft with scipy.fft as numpy<1.20 not support ortho norm 2. remove cache of cufft plans; 3. enhance error checking. 4. default WITH_ONEMKL to OFF Co-authored-by: Njeff41404 <jeff41404@gmail.com> Co-authored-by: Nroot <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com> Co-authored-by: NKP <109694228@qq.com> Co-authored-by: lijiaqi <lijiaqi0612@163.com> Co-authored-by: NXiaoxu Chen <chenxx_id@163.com> Co-authored-by: Nlijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
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- 16 9月, 2021 1 次提交
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由 crystal 提交于
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- 14 9月, 2021 1 次提交
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由 Sing_chan 提交于
* new function: share third party cache among servers to fasten build speed * modified code according to zhouwei25's comment * add wget install step, move cd build to the last of if condition * block note and error of third_party share; change bce upload method * change third_party sub_dir in bos, since third party in different cuda version cant share * set sub_dir by get nvcc version * change third_party local path to be same with bos path
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- 13 9月, 2021 1 次提交
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由 taixiurong 提交于
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- 09 9月, 2021 1 次提交
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由 0x45f 提交于
* init matrix_rank op, add matrix_rank CPU code and test * add GPU kernel, remove svd_eigen.h * add CPU kernel when tol is tensor * add cpu and gpu code when tol is tensor * fix CI-ROCM error * add matrix_rank API describe, fix PR-CI-Py3 error * fix PR-CI-Windows error, add matrix_rank API test * delete useless comments * fix review * add my code in svd_helper.h * update doc commets * remove spaces
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- 03 9月, 2021 2 次提交
- 02 9月, 2021 1 次提交
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由 xiongkun 提交于
* Add SVD Op and it's GPU and CPU kernel * Remove CUDAPlace in test_svd_op, make the test available in CPU package * modfity the file * fix windows bug/ fix ROCM / fix test timeout * for pass the CIs * improve error report * for code review * some modification to test_svd_op * change python code style * expose the svd interface for document
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- 01 9月, 2021 1 次提交
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由 QingshuChen 提交于
* support KL label smooth * update UT for KL label_smooth
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- 31 8月, 2021 4 次提交
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由 Shang Zhizhou 提交于
* Revert "Revert "Add copy from tensor (#34406)" (#35173)" This reverts commit 32c1ec42. * add template instantiation
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由 zhouweiwei2014 提交于
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由 Zhanlue Yang 提交于
[Background] Expansion in code size can be irreversible in the long run, leading to huge release packages which not only hampers user experience but also exceeds a hard limit of pypi. In such, NV_FATBIN section takes up 86% of the compiled dylib size, owing to the vast number of GPU arches supported. This PR aims to prune this NV_FATBIN. [Solution] In the new release strategy, two types of whl packages will be involved: Cubin PIP package: PIP package maintains a smaller window for GPU arches support, containing sm_60, sm_70, sm_75, sm_80 cubins, covering Pascal - Ampere arches JIT release package: This is a backup for Cubin PIP package, containing compute_35, compute_50, compute_60, compute_70, compute_75, compute_80, with best performance and GPU arches coverage. However, it takes around 10 min to install due to the JIT compilation. [How to use] The new release strategy is disabled by default. To compile for Cubin PIP package, add this to cmake: -DCUBIN_RELEASE_PIP To compile for JIT release package, add this to cmake: -DJIT_RELEASE_WHL
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由 wuhuanzhou 提交于
* fix CI skip cc test error, test=develop * remove test code, test=develop
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- 27 8月, 2021 1 次提交
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由 zhangchunle 提交于
This reverts commit ac33c0ca.
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- 26 8月, 2021 1 次提交
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由 Shang Zhizhou 提交于
* add api * temp save * revert * copytocpu async ok * fix style * copy sync ok * fix compile error * fix compile error * api done * update python async api * fix compile * remove async python api; add c++ async unittest * remove python async api * update unittest * update unittest * add C++ unittest for copytensor * add unittest * update namespace utils to class TensorUtils * add unittest * update unittest * update unittest * update code style * update code style * update unittest
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- 25 8月, 2021 2 次提交
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由 Wilber 提交于
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由 taixiurong 提交于
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- 23 8月, 2021 1 次提交
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由 lidanqing 提交于
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- 16 8月, 2021 1 次提交
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由 feng_shuai 提交于
* change bilinear thread for nano and tx2 * change bilinear thread for nano and tx2
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- 10 8月, 2021 1 次提交
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由 chentianyu03 提交于
* add any.hpp to utils and replace boost::any with self defined paddle::any * add copy any.hpp to custom op depends * modify any.hpp include path * remove boost from setup.py.in * add copy any.hpp to custom op depends * move any.hpp to paddle/utils/ dirs * move any.h to extension/include direction * copy utils to right directions
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- 09 8月, 2021 1 次提交
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由 zhouweiwei2014 提交于
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- 06 8月, 2021 1 次提交
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由 TTerror 提交于
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- 03 8月, 2021 1 次提交
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由 QingshuChen 提交于
* support Kunlun2 * support KL2 * support KL2
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- 29 7月, 2021 1 次提交
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由 zhouweiwei2014 提交于
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- 21 7月, 2021 1 次提交
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由 zhouweiwei2014 提交于
* polish windows compile for Ninja, fix random compile fail * polish windows compile for Ninja, fix random compile fail
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