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* implement distributed transpiler with fleet
implement dygraph.parallel.DataParallel to hook reduce op.
* Init mixed precision training interface * Add fp16 test script test=develop * All initializers support float16 test=develop * Code cleanup & add more code annotations test=develop * Update API spec test=develop * Add usage example in doc test=develop
test=develop
…near interpolation in forward (#17090) * Cache the information of linear interpolation in forward and use it in backward. test=develop * Fix cuda kernel. test=develop
test=develop
backward of backward: leaky_relu
test=develop
* Detailed coordinate description for yolov3 loss test=develop * modified api.spec test=develop * modified loss name * fix api.spec test=develop * polish description test=develop * modified api.spec test=develop
test=develop
* fix python/paddle/fluid/__init__.py detecting problems
1. Use CudnnWorkspaceHandle in exhaustive search of conv_cudnn. 2. For Ops using CudnnWorkspaceHandle in exhaustive search, release their GPU memory after exhaustive search. test=develop
* refine_dropout_mem,test=develop * # This is a combination of 14 commits. # The first commit's message is: remove ut test_dist_word2vec in mac ci, will fix it in private, test=develop (#17066) # This is the 2nd commit message: Fleet unify distributed training (#16791) * implement distributed transpiler with fleet # This is the 3rd commit message: ParallelDyGraph with GPU collective mode (#16827) implement dygraph.parallel.DataParallel to hook reduce op. # This is the 4th commit message: Init mixed precision training interface (#16856) * Init mixed precision training interface * Add fp16 test script test=develop * All initializers support float16 test=develop * Code cleanup & add more code annotations test=develop * Update API spec test=develop * Add usage example in doc test=develop # This is the 5th commit message: fix reference_count_pass,test=develop (#17060) test=develop # This is the 6th commit message: Speedup roi_perspective_transform op by caching the information of linear interpolation in forward (#17090) * Cache the information of linear interpolation in forward and use it in backward. test=develop * Fix cuda kernel. test=develop # This is the 7th commit message: remove unnecessary prepare_data (#17080) test=develop # This is the 8th commit message: fix interpolate cu. test=develop (#17101) # This is the 9th commit message: test=develop, double backward leaky_relu (#17067) backward of backward: leaky_relu # This is the 10th commit message: fix fuse optimizer ops (#17102) test=develop # This is the 11th commit message: truncated_gaussian_random supported in distributed training, test=develop (#17091) # This is the 12th commit message: Detailed coordinate description for yolov3 loss (#17007) * Detailed coordinate description for yolov3 loss test=develop * modified api.spec test=develop * modified loss name * fix api.spec test=develop * polish description test=develop * modified api.spec test=develop # This is the 13th commit message: fix test_weight_decay (#17109) test=develop # This is the 14th commit message: Path flag (#17105) * fix python/paddle/fluid/__init__.py detecting problems
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Oct 12, 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 <[email protected]> * 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 (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 <[email protected]> Co-authored-by: root <[email protected]> Co-authored-by: KP <[email protected]> Co-authored-by: lijiaqi <[email protected]> Co-authored-by: Xiaoxu Chen <[email protected]> Co-authored-by: lijiaqi0612 <[email protected]>
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