Load all data before training for pool_size=-1 #59
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September 9, 2016 16:11
This is to ensure there is no problem for shuffling when only partial data is loaded.
qingqing01
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Apr 30, 2020
XiaoguangHu01
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Sep 18, 2021
* 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: jeff41404 <jeff41404@gmail.com> Co-authored-by: root <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com> Co-authored-by: KP <109694228@qq.com> Co-authored-by: lijiaqi <lijiaqi0612@163.com> Co-authored-by: Xiaoxu Chen <chenxx_id@163.com> Co-authored-by: lijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
AnnaTrainingG
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Sep 29, 2021
* 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 (PaddlePaddle#30) * Documentation of the common interfaces of c2r and c2c (PaddlePaddle#31) * Documentation of the common interfaces of c2r and c2c * clean c++ code (PaddlePaddle#32) * clean code * Add numpy-based implementation of spectral ops (PaddlePaddle#33) * add numpy reference implementation of spectral ops * Add fft_c2r numpy based implementation for unittest. (PaddlePaddle#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 (PaddlePaddle#35) * Add overlap_add op unittest. * Register complex kernels of squeeze/unsquuze op. * Add stft/istft api unittest. * Add unittest for fft helper functions (PaddlePaddle#36) * add unittests for fft helper functions. add complex kernel for roll op. * complete static graph unittest for all public api (PaddlePaddle#37) * Unittest of op with FFT C2C, C2R and r2c added (PaddlePaddle#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 (PaddlePaddle#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. (PaddlePaddle#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 (PaddlePaddle#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 (PaddlePaddle#42) * Add api doc and update unittest. (PaddlePaddle#43) * Add doc strings. * Update overlap_add op unittest * fix MKL-based FFT implementation (PaddlePaddle#44) * fix MKL-based FFT implementation, MKL CDFT's FORWARD DOMAIN is always REAL for R2C and C2R * remove code for debug (PaddlePaddle#45) * use dynload for cufft (PaddlePaddle#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. (PaddlePaddle#47) * Add doc of frame op and overlap_add op. * Update unittest. * use dynload for cufft (PaddlePaddle#48) 1. use dynload for cufft 2. fix unittest; 3. temporarily disable Rocm. * fix conflicts and merge upstream (PaddlePaddle#49) fix conflicts and merge upstream * fix compile error: only link dyload_cuda when cuda is available (PaddlePaddle#50) * fix compile error: only link dyload_cuda when cuda is available * fix dynload for cufft on windows (PaddlePaddle#51) 1. fix dynload for cufft on windows; 2. fix unittests. * add NOMINMAX to compile on windows (PaddlePaddle#52) add NOMINMAX to compile on windows * explicitly specify capture mode for lambdas (PaddlePaddle#55) explicitly specify capture mode for lambdas * fix fft sample (PaddlePaddle#53) * fix fft sample * update scipy and numpy version for unittests of fft (PaddlePaddle#56) update scipy and numpy version for unittests of fft * Add static graph unittests of frame and overlap_add api. (PaddlePaddle#57) * Remove cache of cuFFT & Disable ONEMKL (PaddlePaddle#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: jeff41404 <jeff41404@gmail.com> Co-authored-by: root <root@bjyz-sys-gpu-kongming9.bjyz.baidu.com> Co-authored-by: KP <109694228@qq.com> Co-authored-by: lijiaqi <lijiaqi0612@163.com> Co-authored-by: Xiaoxu Chen <chenxx_id@163.com> Co-authored-by: lijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
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Oct 8, 2021
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
thisjiang
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Oct 28, 2021
…with-transform add test of transform to codegen_c_test
gglin001
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Dec 8, 2021
* add elementwise_op_handler * fix pow_handler
wangxicoding
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Dec 9, 2021
* Add new glue dataset and example. update dataset. * update load_dataet() args name
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May 23, 2022
[DOC] add quick_start section, test=develop
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Jul 7, 2022
Optimize CUDA thread parallelism in MergeGrad phase，6.5h-3.25h
zmxdream
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Aug 31, 2022
…e#59) * fix async alloc bug * use stream safe alloc * alloc fix & reuse scope mem
zmxdream
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Nov 2, 2022
…e#59) * fix async alloc bug * use stream safe alloc * alloc fix & reuse scope mem
jack603047588
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Nov 9, 2022
add norm async update in BoxPSAsynDenseTable
zmxdream
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Oct 10, 2023
add merge multi models interface
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Feb 29, 2024
* [MTAI-484] feat(ci): download 3rd_party form oss * [MT-484] fix(ci): update eigen3 commit * [MTAI-484] use eigen3 patches to replace extra third_party
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* implement FuseFilteredStmtPatterns * update * split trivial op into a single file. * fix compiler complaints * rename StmtIter to StmtPtr * declare group_pattern.InferShardableAxes * refine signature of group_pattern.InferShardableAxes * move group_pattern.InferShardableAxes to group_pattern_util.InferShardableAxes * implement group_pattern_util.InferShardableAxes * add group_pattern_util.InferShardableAxesFromSink * ReversedInferShardableAxes support sinks * update op lower * support multiple sinks in group_pattern_util.InferShardableAxes * update * fix link error * update * remove FusionOp to OpList * update * update * update * update * declare group_pattern_util.h * fix compiler complains * declare group_pattern_util.ClusteringHelper * refine signature of group_pattern_util.ClusterIntoGroupPatternsFromOpList * update op lowr * add todo * minor refine by group_pattern_util.OpSet * update * update * update (#57) * update * update * Cinn trivalop fuse (#58) * fix * refactor StmtFusionHelper by OpTopo * Complete: CreateReduceExpr function. * update * recursive done. * update * Cinn trivalop fuse (#59) * clean all the TODO. * update * fix cluster * remove unused OpTopo.downstream_disconnected_ops * Cinn trivalop fuse (#60) * fix compile rror * update * Cinn trivalop fuse (#61) * add R + T skeleon * add search utils. * update * Cinn trivalop fuse (#62) * push * update * fix * fix transformer * fix * Implement iterator vars fetching in ReduceOp * small fix * add GetOuterIterVars API * fix * fix compile complain * modify GetOutputIters of TrivialOp * remove dumplicate code in visit * implement ClusterIntoGroupPatternsFromOpList * Fix most error in trivial_op.cc. * CreateReduceExpr is OK! * fix * add CheckIterEq * implement group_pattern_util.ClusteringEngine and groupp_pattern_util.ClusteringPolicy * SinkTrivialTransform OK! * update * fix init_tensor name problem. * update * fix compiler complains * refactor ShardableAxesSignature by group_pattern.SoleOutputShardableAxes * split trivial_op.cc * update * implement group_pattern_util.MakeShardableAxesSignature4ReduceOp * update * implement group_pattern_util.MakeEmptyShardableAxesSignature * add helper class group_pattern_util.ShardableAxesProvider * implement group_pattern_util.MakeShardableAxesSignature4BroadcastOp * update * update * fix softmax error.! * fix * update * merge * fix * Implement new OpMergeWithOp and add a relevant flag * update * update * fix reduce_load error. add splitReduceTransform * fix conflict * update * update * update * disable horizontal fusion * fix * Add some VLOG * Fix group cluster bug (#71) * fix * fix dyshape * fix * init split cluster files * update * update * update * spliting * update * spliting * spliting * pattern utils * update * update * clean cmake * update * update * update * fix clustering_engine * fix fusion_helper * update * fix * update * update * update * update * fix * fix some erros * update * update * fix split with num problem * update * fix * fix static issues * fix * init split cluster files (#72) * update * update * update * update * update * update * update * update * update * split shardable axes provider (#73) * update * update * fix broadcast (#75) * update * update * fix * fix code format * fix code format * remove unittest * update * update (#77) * update * update * update --------- Co-authored-by: tc20042008 <156998525+tc20042008@users.noreply.github.com> Co-authored-by: feifei-111 <2364819892@qq.com> Co-authored-by: jiahy0825 <jiahongyu@baidu.com> Co-authored-by: zhangbaizhou <zhangbaizhou@baidu.com> Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
co63oc
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* implement FuseFilteredStmtPatterns * update * split trivial op into a single file. * fix compiler complaints * rename StmtIter to StmtPtr * declare group_pattern.InferShardableAxes * refine signature of group_pattern.InferShardableAxes * move group_pattern.InferShardableAxes to group_pattern_util.InferShardableAxes * implement group_pattern_util.InferShardableAxes * add group_pattern_util.InferShardableAxesFromSink * ReversedInferShardableAxes support sinks * update op lower * support multiple sinks in group_pattern_util.InferShardableAxes * update * fix link error * update * remove FusionOp to OpList * update * update * update * update * declare group_pattern_util.h * fix compiler complains * declare group_pattern_util.ClusteringHelper * refine signature of group_pattern_util.ClusterIntoGroupPatternsFromOpList * update op lowr * add todo * minor refine by group_pattern_util.OpSet * update * update * update (PaddlePaddle#57) * update * update * Cinn trivalop fuse (PaddlePaddle#58) * fix * refactor StmtFusionHelper by OpTopo * Complete: CreateReduceExpr function. * update * recursive done. * update * Cinn trivalop fuse (PaddlePaddle#59) * clean all the TODO. * update * fix cluster * remove unused OpTopo.downstream_disconnected_ops * Cinn trivalop fuse (PaddlePaddle#60) * fix compile rror * update * Cinn trivalop fuse (PaddlePaddle#61) * add R + T skeleon * add search utils. * update * Cinn trivalop fuse (PaddlePaddle#62) * push * update * fix * fix transformer * fix * Implement iterator vars fetching in ReduceOp * small fix * add GetOuterIterVars API * fix * fix compile complain * modify GetOutputIters of TrivialOp * remove dumplicate code in visit * implement ClusterIntoGroupPatternsFromOpList * Fix most error in trivial_op.cc. * CreateReduceExpr is OK! * fix * add CheckIterEq * implement group_pattern_util.ClusteringEngine and groupp_pattern_util.ClusteringPolicy * SinkTrivialTransform OK! * update * fix init_tensor name problem. * update * fix compiler complains * refactor ShardableAxesSignature by group_pattern.SoleOutputShardableAxes * split trivial_op.cc * update * implement group_pattern_util.MakeShardableAxesSignature4ReduceOp * update * implement group_pattern_util.MakeEmptyShardableAxesSignature * add helper class group_pattern_util.ShardableAxesProvider * implement group_pattern_util.MakeShardableAxesSignature4BroadcastOp * update * update * fix softmax error.! * fix * update * merge * fix * Implement new OpMergeWithOp and add a relevant flag * update * update * fix reduce_load error. add splitReduceTransform * fix conflict * update * update * update * disable horizontal fusion * fix * Add some VLOG * Fix group cluster bug (PaddlePaddle#71) * fix * fix dyshape * fix * init split cluster files * update * update * update * spliting * update * spliting * spliting * pattern utils * update * update * clean cmake * update * update * update * fix clustering_engine * fix fusion_helper * update * fix * update * update * update * update * fix * fix some erros * update * update * fix split with num problem * update * fix * fix static issues * fix * init split cluster files (PaddlePaddle#72) * update * update * update * update * update * update * update * update * update * split shardable axes provider (PaddlePaddle#73) * update * update * fix broadcast (PaddlePaddle#75) * update * update * fix * fix code format * fix code format * remove unittest * update * update (PaddlePaddle#77) * update * update * update --------- Co-authored-by: tc20042008 <156998525+tc20042008@users.noreply.github.com> Co-authored-by: feifei-111 <2364819892@qq.com> Co-authored-by: jiahy0825 <jiahongyu@baidu.com> Co-authored-by: zhangbaizhou <zhangbaizhou@baidu.com> Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
zmxdream
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Apr 2, 2024
abacus-aibox-991 fix the bug of add_float_mask_data's error place
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This is to ensure there is no problem for shuffling when only partial data is loaded.