1. 16 3月, 2022 2 次提交
  2. 15 3月, 2022 1 次提交
  3. 04 3月, 2022 1 次提交
    • H
      Add digamma abs trunc yaml (#40024) · 0bfba16b
      hong 提交于
      * add digamma, abs, trunc; test=develop
      
      * fix bug and add diagonal; test=develop
      
      * add name coverter; test=develop
      
      * update tracer.py; test=develop
      
      * add test case; test=develop
      
      * fix bugs; test=develop
      0bfba16b
  4. 03 3月, 2022 1 次提交
    • J
      Support slim eager (#39874) · da47544c
      Jiabin Yang 提交于
      * eager, test=develop
      
      * fix bug, test=develop
      
      * eager, test=develop
      
      * merge legacy to fluid
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Refactor TensorAdd func by template and remove gradient_accumulation in eager
      
      * Remove needless target name
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Use overload instead of template
      
      * Remove legacy code
      
      * Remove legacy code
      
      * selectedrows, test=develop
      
      * Remove DataType test
      
      * eager, test=develop
      
      * eager, test=develop
      
      * support gan, test=develop
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * refine code
      
      * ptb, test=develop
      
      * Rename all EagerTensor to Tensor
      
      * Rename some EagerTensor to Tensor
      
      * rename EagerTensor to EagerVariable
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * add more test
      
      * eager, test=develop
      
      * Support copiable selected rows and merge develop
      
      * save load, eager, test=develop
      
      * save load, eager, test=develop
      
      * refine, test=develop
      
      * remove useless _set_value method
      
      * refine, test=develop
      
      * refine, test=develop
      
      * revert static_runner, test=develop
      
      * EagerTensor to Tensor, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * clear grad, test=develop
      
      * merge, develop
      
      * merge, develop
      
      * merge, test=develop
      
      * merge, test=develop
      
      * Support quant and part of slice
      
      * support legacy static save
      
      * extend slim tests time
      
      * remove imperative on inference
      
      * remove imperative on inference
      
      * merge develop
      
      * fix typo
      
      * fix typo
      
      * split slice related code into 2 part for imperative and eager
      
      * split slice from inference
      
      * split slice from inference
      
      * fix test_tensor_register_hook
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      Co-authored-by: NWeilong Wu <veyron_wu@163.com>
      Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>
      da47544c
  5. 23 2月, 2022 1 次提交
    • W
      [Eager] Support Eager mode for some model testcase (#39248) · abe232d8
      wanghuancoder 提交于
      * eager, test=develop
      
      * fix bug, test=develop
      
      * eager, test=develop
      
      * merge legacy to fluid
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Refactor TensorAdd func by template and remove gradient_accumulation in eager
      
      * Remove needless target name
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Use overload instead of template
      
      * Remove legacy code
      
      * Remove legacy code
      
      * selectedrows, test=develop
      
      * Remove DataType test
      
      * eager, test=develop
      
      * eager, test=develop
      
      * support gan, test=develop
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * refine code
      
      * ptb, test=develop
      
      * Rename all EagerTensor to Tensor
      
      * Rename some EagerTensor to Tensor
      
      * rename EagerTensor to EagerVariable
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * add more test
      
      * eager, test=develop
      
      * Support copiable selected rows and merge develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * clear grad, test=develop
      
      * merge, develop
      
      * merge, develop
      Co-authored-by: NJiabinYang <360788950@qq.com>
      Co-authored-by: NWeilong Wu <veyron_wu@163.com>
      abe232d8
  6. 20 2月, 2022 1 次提交
  7. 30 1月, 2022 1 次提交
  8. 07 1月, 2022 1 次提交
    • W
      modify mish op and add mish api (#38734) · 8c92337c
      wangxinxin08 提交于
      * add mish operator and api
      
      * remove redundant code and modify grad_atol of mish unittest
      
      * modify mish code to be consistent with other activation implementation
      8c92337c
  9. 24 12月, 2021 1 次提交
  10. 23 12月, 2021 1 次提交
  11. 22 12月, 2021 1 次提交
  12. 16 12月, 2021 1 次提交
  13. 14 12月, 2021 1 次提交
  14. 13 12月, 2021 1 次提交
  15. 30 11月, 2021 1 次提交
  16. 24 11月, 2021 1 次提交
  17. 22 11月, 2021 1 次提交
  18. 19 11月, 2021 1 次提交
  19. 29 10月, 2021 1 次提交
  20. 28 10月, 2021 1 次提交
  21. 26 10月, 2021 1 次提交
  22. 13 10月, 2021 1 次提交
    • Z
      Add fp16 for clip_by_norm & clip_by_global_norm (#36198) · 3a869cc5
      zhangbo9674 提交于
      * add fp16 for clip_by_norm api
      
      * support ClipByGlobalNorm for fp16 in dygraph
      
      * add unittest for dygraph clipGlobalNorm
      
      * refine unittest for dygraph clipGlobalNorm for mac and windows
      
      * refine unittest
      
      * add unittest for fp64
      
      * refine unittest for fp64
      3a869cc5
  23. 27 9月, 2021 1 次提交
  24. 26 9月, 2021 1 次提交
  25. 24 9月, 2021 1 次提交
  26. 22 9月, 2021 1 次提交
    • T
      op:transpose_op supports bool type (#35886) · 0c6ee945
      TeslaZhao 提交于
      * Pass compat of conv_transpose_bias_mkldnn_fuse_pass
      
      * Fix a bug of strided_slice op, about the axes parameter access memory out of bounds
      
      * Fix a bug of transpose op, about accessing memory out of bounds of the perm param
      
      * op:transpose_op supports bool type
      0c6ee945
  27. 18 9月, 2021 3 次提交
    • H
      fix import paddle · edeb0ade
      huangjun12 提交于
      edeb0ade
    • H
      replace matmul to matmul_v2, expand to expand_v2 · 1776293a
      huangjun12 提交于
      1776293a
    • F
      Add FFT related operators and APIs (#35665) · 11518a43
      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: lijiaqi0612's avatarlijiaqi <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: lijiaqi0612's avatarlijiaqi <lijiaqi0612@163.com>
      Co-authored-by: NXiaoxu Chen <chenxx_id@163.com>
      Co-authored-by: Nlijiaqi0612 <33169170+lijiaqi0612@users.noreply.github.com>
      11518a43
  28. 17 9月, 2021 1 次提交
  29. 16 9月, 2021 1 次提交
  30. 15 9月, 2021 2 次提交
  31. 14 9月, 2021 1 次提交
  32. 13 9月, 2021 4 次提交
  33. 11 9月, 2021 1 次提交