1. 16 2月, 2023 1 次提交
    • W
      Add Post-Training Quantization and export function in dygraph mode (#50107) · b7030257
      whs 提交于
      Add PTQ and exporting function
      1. Add Post-Training Quantization
      1.1 Abstract some functions from QAT to Quantization class
      1.2 Add Post-Training Quantization by extending Quantization class
      1.3 Add observers for PTQ
      1.4 Add unittest for PTQ
      2. Add exporting function for QAT and PTQ
      b7030257
  2. 08 11月, 2022 1 次提交
  3. 23 10月, 2022 1 次提交
  4. 05 6月, 2022 1 次提交
    • S
      【code format check upgrade】 step2:yapf (#42944) · a072fca8
      Sing_chan 提交于
      * use yapf to format all python file
      
      * yapf exclude two unittests file for they rely on writing and reading file, and format will break them
      
      * disable diff_py_file because too many diff files cause command following failed
      a072fca8
  5. 21 3月, 2022 1 次提交
  6. 15 3月, 2022 1 次提交
  7. 12 1月, 2022 1 次提交
    • Z
      the_one_ps dirs reconstruct (#38804) · 50609214
      ziyoujiyi 提交于
      * delete gloo connect retry
      
      * the_one_ps dirs reconstruct
      
      * .
      
      * .
      
      * create the_one_ps dirs
      
      * create the_one_ps dirs
      
      * create the_one_ps dirs
      
      * create the_one_ps dirs
      
      * create the_one_ps dirs
      
      * create the_one_ps dirs
      
      * the one ps dirs modify
      
      * the one ps dirs modify
      
      * the one ps dirs modify
      
      * the one ps dirs modify
      50609214
  8. 18 9月, 2021 1 次提交
    • 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
  9. 07 4月, 2021 1 次提交
    • Z
      【NPU】Merge ascend GE&distributed code by 0208 from ascendrc (#31957) · 8c7c53b3
      zhang wenhui 提交于
      * Ascend rc (#30483)
      
      * Fix compilcation on CANN20.1 and older (#30494)
      
      Fix compilcation on CANN20.1 and older
      
      * Add distribution supported (#30578)
      
      Add distribution supported
      
      * Build praser for Hcom* operators (#30627)
      
      Build praser for Hcom* operators
      
      * Pass device_ids info from launch to trainer. (#30632)
      
      Pass device_ids info from launch to trainer
      
      * Add Hccl program group (#30642)
      
      Add Hccl program group
      
      * Add startup bash files of test_ascend_group. (#30645)
      
      Add startup bash files of test_ascend_group
      
      * cleanup (#30646)
      
      cleanup test_ascend_group.py
      
      * [Feature] Build parser to support distributed training (#30658)
      
      [Feature] Build parser to support distributed training
      
      * fix compilation on ascend-20.1 (#30722)
      
      fix compilation on ascend-20.1
      
      * Dev/fix ascend string (#30749)
      
      Dev/fix ascend string
      
      * code style (#30781)
      
      code style
      
      * Merge ascend_optimizer and ascend_parser. (#30776)
      
      Merge ascend_optimizer and ascend_parser.
      
      * Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug  (#30797)
      
      Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug
      
      * Add paddle ascend distribution training supported (#30796)
      
      Add paddle ascend distribution training supported
      
      * pass cxx_flags to gloo cmake (#30857)
      
      * Destroy session first. (#30954)
      
      Destroy session first.
      
      * merge
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix style, test=develop
      
      * fix, test=develop
      
      * fix
      
      * fix log fatal, test=develop
      
      * fix enforce style, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix rccl, test=develop
      
      * fix test, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix node_num, test=develop
      
      * fix ids str, test=develop
      
      * fix ids str, test=develop
      
      * fix ids str, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      Co-authored-by: Nhutuxian <hutuxian2011@sina.cn>
      Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
      Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
      Co-authored-by: NLeo Chen <chenqiuliang@baidu.com>
      Co-authored-by: Ndingsiyu <18369187719@163.com>
      Co-authored-by: NOleNet <olenet@126.com>
      8c7c53b3
  10. 02 4月, 2021 1 次提交
    • S
      graph engine (#31226) · 94736d60
      seemingwang 提交于
      * graph engine demo
      
      * upload unsaved changes
      
      * fix dependency error
      
      * fix shard_num problem
      
      * py client
      
      * remove lock and graph-type
      
      * add load direct graph
      
      * add load direct graph
      
      * add load direct graph
      
      * batch random_sample
      
      * batch_sample_k
      
      * fix num_nodes size
      
      * batch brpc
      
      * batch brpc
      
      * add test
      
      * add test
      
      * add load_nodes; change add_node function
      
      * change sample return type to pair
      
      * resolve conflict
      
      * resolved conflict
      
      * resolved conflict
      
      * separate server and client
      
      * merge pair type
      
      * fix
      
      * resolved conflict
      
      * fixed segment fault; high-level VLOG for load edges and load nodes
      
      * random_sample return 0
      
      * rm useless loop
      
      * test:load edge
      
      * fix ret -1
      
      * test: rm sample
      
      * rm sample
      
      * random_sample return future
      
      * random_sample return int
      
      * test fake node
      
      * fixed here
      
      * memory leak
      
      * remove test code
      
      * fix return problem
      
      * add common_graph_table
      
      * random sample node &test & change data-structure from linkedList to vector
      
      * add common_graph_table
      
      * sample with srand
      
      * add node_types
      
      * optimize nodes sample
      
      * recover test
      
      * random sample
      
      * destruct weighted sampler
      
      * GraphEdgeBlob
      
      * WeightedGraphEdgeBlob to GraphEdgeBlob
      
      * WeightedGraphEdgeBlob to GraphEdgeBlob
      
      * pybind sample nodes api
      
      * pull nodes with step
      
      * fixed pull_graph_list bug; add test for pull_graph_list by step
      
      * add graph table;name
      
      * add graph table;name
      
      * add pybind
      
      * add pybind
      
      * add FeatureNode
      
      * add FeatureNode
      
      * add FeatureNode Serialize
      
      * add FeatureNode Serialize
      
      * get_feat_node
      
      * avoid local rpc
      
      * fix get_node_feat
      
      * fix get_node_feat
      
      * remove log
      
      * get_node_feat return  py:bytes
      
      * merge develop with graph_engine
      
      * fix threadpool.h head
      
      * fix
      
      * fix typo
      
      * resolve conflict
      
      * fix conflict
      
      * recover lost content
      
      * fix pybind of FeatureNode
      
      * recover cmake
      
      * recover tools
      
      * resolve conflict
      
      * resolve linking problem
      
      * code style
      
      * change test_server port
      
      * fix code problems
      
      * remove shard_num config
      
      * remove redundent threads
      
      * optimize start server
      
      * remove logs
      
      * fix code problems by reviewers' suggestions
      Co-authored-by: NHuang Zhengjie <270018958@qq.com>
      Co-authored-by: NWeiyue Su <weiyue.su@gmail.com>
      Co-authored-by: Nsuweiyue <suweiyue@baidu.com>
      Co-authored-by: Nluobin06 <luobin06@baidu.com>
      Co-authored-by: Nliweibin02 <liweibin02@baidu.com>
      94736d60
  11. 06 11月, 2020 1 次提交
  12. 29 10月, 2020 1 次提交
  13. 26 7月, 2018 1 次提交