update #24
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update #24
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* add gradients_with_optimizer api * modify gradients_with_optimizer * add gradients_with_optimizer api into paddle.auto.backward_mode * add gradients_with_optimizer test case * add doc for gradients_with_optimizer * add doc for gradients_with_optimizer
* fix paddle.optimizer test=document_fix * fix paddle.optimizer test=document_fix * fix bugs in paddle.nn.functional document test=document_fix * fix bugs in paddle.nn.functional document test=document_fix * fix bugs in paddle.nn.functional document test=document_fix * fix bugs in paddle.nn.functional document test=document_fix
* revert commit id 34212
* fix bug of p2p for partial * fix error
* add not_equal NPU op * add not_equal NPU op * add not_equal NPU op * add not_equal NPU op
* add NPU support for zero_copy_tensor. * revert unnesessary codes. * revert unnesessary codes.
…st apis (#34310) * replace boost::algorithm::ends_with with self define ends_with function * remove BOOST macro in certain operators * remove boost::lexical_cast * add test for string_helper * add more test case for string_helper * modify join_string func and test case * fix build_strategy_test failed bug * remove string_helper_test from parallel_UT_rule.py
* Support Mixed Precision training in @to_static * fix block.vars logic * fix GPU training loss diff * remove unused code
* support bool dtype for paddle.sum
…ly (#34556) * integrated gast library * integrated gast library * fix unittest and remove ast2.py * remove 'gast' from __all__ in __init__.py * add copyright in other files * fix copyright
* first test version * add test exec; * add data transfer; test=develop * add new exec head; * add memcpy; test=develop * add python fetch * add new test * add graph node; test=develop * remove useless new executor test; test=develop * remove gperf dependency; test=develop * fix compile bugs; test=develop * remove useless code; test=develop * remove useless code; test=develop * add uni test; test=develop * polish code; test=develop * polish code; test=develop * add interpreter cmakefile; test=develop * remove useless code; test=develop
* Add relu6 and relu6_grad npu op * fixed pre-commit-config.yaml * fixed for CI
* [NPU] Support npu op: (1) cos (2) cos_grad
* Update test_cos_op_npu.py
* Update activation_op_npu.cc
* rm redundant {1}
…#34603) * fix ut * decrease gpu memory consumption * remove exclusive
* add eye npu op * remove useless headers * code style * Update eye_op_npu.cc * Update eye_op_npu.cc * remove useless code in test file * code style check * change Copyright to 2021 * add test case and do some fix * fix * update code * fix for CI * return * fix
* add lock * fix typo
* Fix error of HSigmoidLoss * update unittest * update unittest
* Support npu kernel for expand_as_v2 op * mofify the registry data type name * fix test unit * fix npu compile error, test=develop * fix compute function Co-authored-by: qili93 <qili93@qq.com>
* Support npu kernel for tile op * modify according to the comments * fix compute function
* fix for div zero * fix err;test=develop * fix lod
…any (#34613) * 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
* fix npu compile error, test=develop * add fill constant batch size lilke op npu,test=develop Co-authored-by: qili93 <qili93@qq.com>
* Support npu kernel for fill_any_like op * modify the description of exception * remove useless template element * remove useless decorator * fix the code format error
* [NPU] add squared_l2_norm squared_l2_norm and tests * [NPU] replace Square&ReduceSumD with SquareSumV1
添加Kernel primitives api： ReadData, WriteData ComputeFunctor
#34642) * fix npu compile error, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * [NPU] Support npu kernel for flatten_contiguous_range op, test=develop * Update flatten_op_npu.cc * Update flatten_op_npu.cc Co-authored-by: qili93 <qili93@qq.com>
* add not used output var to gc_check_list; test=develop * add useless output to gc check list; test=develop
* Add NPU kernel for TopKV2 op * deleted unnecessary cache file static_mode_white_list.cpython-37.pyc * A draft for error checking * A commit with accuracy error for float32 data * Modify codes according to the review comments * Modify codes according to the review comments
niuliling123
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Sep 23, 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>
niuliling123
pushed a commit
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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>
niuliling123
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Sep 19, 2022
Add first-order-model to applications
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