* 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>

Mistake in demo/image_classification/preprocess.sh #25

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