1. 14 12月, 2022 1 次提交
  2. 02 11月, 2022 1 次提交
  3. 01 11月, 2022 1 次提交
  4. 19 10月, 2022 1 次提交
  5. 14 9月, 2022 1 次提交
  6. 01 8月, 2022 1 次提交
    • A
      support build with Ninja on Linux (#44210) · 1d79f1f7
      Allen Guo 提交于
      * support ninja
      
      * fix mkldnn on windows
      
      * fix mkldnn on windows up1
      
      * up2
      
      * up3
      
      * fix gflags
      
      * BUILD_BYPRODUCTS_OPTION -> BUILD_BYPRODUCTS_ARGS
      
      * use CMAKE_COMMAND
      
      * up x
      1d79f1f7
  7. 15 7月, 2022 1 次提交
  8. 01 7月, 2022 1 次提交
  9. 29 6月, 2022 1 次提交
  10. 13 6月, 2022 1 次提交
  11. 09 6月, 2022 1 次提交
  12. 04 6月, 2022 1 次提交
  13. 09 5月, 2022 1 次提交
  14. 22 4月, 2022 1 次提交
    • Z
      Ssd sparse table (#41812) · cca57c4a
      zhaocaibei123 提交于
      * [cherry-pick2.3]fix compile bug of windows cuda11.5 (#41464)
      
      cherry-pick
      
      fix compile bug of windows cuda11.5 #41433
      
      * fix bug of missing boost when compile cache.cc (#41449)
      
      【chery-pick #41430】fix bug of random compile failure, due to incorrect compile order of dependencies
      
      * Fix eager try catch (#41438) (#41477)
      
      [Cherry-Pick]Fix eager try catch (#41438)
      
      * Cherry-pick-PR41407, fix device_id bug for final_state op in multiprocess testcase (#41407) (#41475)
      
      Cherry-pick PR #41407
      
      * [BugFix] Add error hint for one_hot gpu version (#41335) (#41495)
      
      * add one_hot gpu hint
      
      * move allow_out_of_range judgement
      
      * delete useless unittest
      
      * fix bugs of reshape double grad infermeta (#41459) (#41493)
      
      * [cherrypick-2.3] modify infer gpu memory strategy (#41427), remove cudnn_deterministic=True (#41341)  (#41491)
      Co-authored-by: NJingZhuangzhuang <75348594+JZZ-NOTE@users.noreply.github.com>
      
      * [Cherry-pick][ROCm] fix dcu error in device event base, test=develop (#41523)
      
      Cherry-pick of #41521
      
      * [Cherry-Pick]Cherry pick PR41200, PR41474, PR41382 (#41509)
      
      * Use `self`as a parameter of _hash_with_id function to avoid error caused by hash_id reuse (#41200)
      
      * Add fill_constant_batch_size YAML and UT (#41474)
      
      * Switch some dy2st UT to eager mode (#41382)
      
      * Sitch some dy2st UT to eager mode
      
      * Fix test_lstm and remove test_transformer
      
      * Run test_resnet_v2 in old dy mode
      
      * Unittest recover (#41431)
      
      * update name
      
      * update name
      
      * fix test
      
      * fix fleet bind
      
      * update name
      
      * update name
      
      * fix test
      
      * fix gpups wrapper
      
      * remove Push/Pull/Load/Save with context in client and wrapper base class
      
      * fix
      
      * fix
      
      * remove some interface
      
      * fix
      
      * remove
      
      * code style
      
      * recover
      
      * fix
      
      * remove code unused
      
      * remove some unused table & accessor & CommonDenseTable => MemoryDenseTable
      
      * fix
      
      * fix
      
      * fix
      
      * recover
      
      * remove unused code
      
      * recover unittest
      
      * fix
      
      * remove
      
      * fix
      
      * remove code unuseful
      
      * remove
      
      * fix
      
      * recover
      
      * remove
      Co-authored-by: Nesythan <esythan@126.com>
      
      * add ssd sparse table
      
      * fix
      
      * add cache shuffle
      
      * fix
      
      * fix
      
      * fix
      
      * fix
      
      * fix
      
      * fix
      
      * add unit test
      
      * fix
      Co-authored-by: zhouweiwei2014's avatarZhou Wei <1183042833@qq.com>
      Co-authored-by: NSing_chan <51314274+betterpig@users.noreply.github.com>
      Co-authored-by: N0x45f <23097963+0x45f@users.noreply.github.com>
      Co-authored-by: Npangyoki <pangyoki@126.com>
      Co-authored-by: NSiming Dai <908660116@qq.com>
      Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
      Co-authored-by: NZhang Jun <ewalker@live.cn>
      Co-authored-by: NJingZhuangzhuang <75348594+JZZ-NOTE@users.noreply.github.com>
      Co-authored-by: NQi Li <qili93@qq.com>
      Co-authored-by: Nesythan <esythan@126.com>
      cca57c4a
  15. 15 4月, 2022 1 次提交
    • Z
      solve brpc compile in arm-ubantu18 (#41649) · 56dafc4f
      ziyoujiyi 提交于
      * back fl
      
      * delete ssl cert
      
      * .
      
      * make warning
      
      * .
      
      * unittest paral degree
      
      * solve unittest
      
      * heter & multi cloud commm ready
      
      * .
      
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      * arm_brpc compile
      
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      * base is ok
      
      * .
      
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      * add switch server bin
      
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      * adapt brpc ssl
      
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      56dafc4f
  16. 10 3月, 2022 1 次提交
    • H
      Inference add ONNXRuntime back-end (#39988) · 431afc39
      heliqi 提交于
      * add onnxruntime predictor
      
      * Add code comments
      
      * support link paddle2onnx onnxruntime
      
      * support onnxruntime with python
      
      * support onnxruntime with python
      
      * support onnxruntime with windows
      
      * paddle2onnx compile with windows
      
      * supoort windows compile
      
      * supoort windows compile with onnxruntime
      
      * supoort windows compile with paddle2onnx
      
      * supoort mac compile
      
      * compile with mac
      
      * compile with mac
      
      * add code comments
      
      * fix remind word
      
      * code optimization
      
      * add test case
      
      * add test case
      
      * add inference demo_ci test case
      
      * fix compile paddle2onnx with no python
      
      * add inference demo_ci test case
      
      * add inference demo_ci test case
      
      * add inference infer_ut test case
      
      * support c go api and test cases
      
      * add converage test case
      
      * add converage test case
      
      * add capi test case
      
      * add capi test case
      431afc39
  17. 27 1月, 2022 1 次提交
  18. 20 12月, 2021 1 次提交
  19. 15 12月, 2021 1 次提交
  20. 07 12月, 2021 1 次提交
    • Y
      introduce INF-RT (#37669) · 70dea138
      Yan Chunwei 提交于
      * add infrt code
      
      refined with Paddle's code style.
      
      * rename CinnRtConfig to InfRtConfig
      
      * rename CinnRt to InfRt of some code
      
      * rename CINNRT to INFRT
      
      * remove unnecessary code
      
      * replace CINN to INFRT in the source code
      
      * replace all "cinn" in code to "infrt"
      
      * remove some const_cast
      70dea138
  21. 03 12月, 2021 1 次提交
  22. 11 11月, 2021 1 次提交
  23. 09 11月, 2021 1 次提交
  24. 04 11月, 2021 1 次提交
  25. 24 10月, 2021 1 次提交
  26. 23 10月, 2021 1 次提交
    • H
      New Paddle-CINN Compile PR (#36584) · ab732884
      Huihuang Zheng 提交于
      This PR added some changes to match the CINN change for compilation. It also tried to fix JiangCheng's Problem in PR: https://github.com/PaddlePaddle/Paddle/pull/36100
      
      These changes include:
      1. Set `CINN_GIT_TAG` to a newer tag
      2. CINN now just `make cinnapi -j`
      3. We have to add `-DPY_VERSION=${PY_VERSION} -DWITH_TESTING=ON` to CINN cmake args
      4. For CINN's third party dependencies, we could just include headers without target_link_libraries
      5. Moved `cinn.cmake` from `paddle/cmake` to `paddle/cmake/external` to match old style. External folder contains `lite`, which is the same level of `cinn`
      6. CINN added `-DNAMESPACE=cinn_gflags` in `gflags.cmake` to have different gflag namespaces between CINN and Paddle. It solved re-define problem.
      7. Change namespace of `::google::` in gflags to `::GFLAGS_NAMESPACE`
      ab732884
  27. 20 10月, 2021 1 次提交
    • S
      Add FasterTokenizer Operator (#34491) · 3f2d6a3f
      Steffy-zxf 提交于
      Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent.
      
      * support the text string as an input Tensor
      * support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens
      * Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization.
      * It first applies basic tokenization, followed by wordpiece tokenization.
      3f2d6a3f
  28. 11 10月, 2021 1 次提交
  29. 27 9月, 2021 1 次提交
  30. 22 9月, 2021 1 次提交
  31. 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
  32. 24 6月, 2021 1 次提交
  33. 09 6月, 2021 1 次提交
  34. 01 6月, 2021 1 次提交
  35. 27 5月, 2021 2 次提交
  36. 10 5月, 2021 1 次提交
  37. 21 4月, 2021 1 次提交
    • Z
      【NPU】Merge NPU ccl code (#32381) · c3158527
      zhang wenhui 提交于
      * add allreduce and broadcast without test (#31024)
      
      add allreduce and broadcast without test
      
      * Refactor HCCLCommContext to be compatible with Paddle (#31359)
      
      Refactor HCCLCommContext to be compatible with Paddle (#31359)
      
      * [NPU] add npu kernel for communication op (#31437)
      
      * add allreduce and broadcast without test
      
      * add c_broadcast_test case
      
      * build c_comm_init and c_create_group operators
      
      * make the whole thing compile
      
      * add broadcast and init op test case but run failed
      
      * make unit test compile
      
      * fix broadcast test bug and change into hcom for ccl
      
      * change c_comm_init and c_create_group ops accordingly
      
      * make tests compile
      
      * transfer code to 27
      
      * compiled successfully in 28, but run failed
      
      * test broadcast in 28, but failed
      
      * make hcom primitives work
      
      * change hccl data type for base.h
      
      * fix broadcast bug
      
      * make attributes work
      
      * fix group name bug
      
      * add allreduce but test failed
      
      * allreduce bug for qiuliang
      
      * allreduce finished
      
      * add allgather and reducescatter
      
      * merge all op code
      
      * add allgather test
      
      * finish run all ccl op test exclude send/recv
      
      * all all op and test exclude send/recv
      
      * send_v2_npu.cc recv_v2_npiu.cc compiled
      
      * fix ccl core dump bug and test allgather, reducescatter, broadcast op
      
      * fix allreduce bug just for test
      
      * hcom send&recv test pass, without hcom_destroy
      
      * for qiuliang test
      
      * Ascend Send&Recv Test Pass
      
      * all op (ex send/recv) ok
      
      * fix bug
      
      * merge all ccl op
      
      * style merge to PaddlePaddle
      
      * merge style
      
      * new merge style
      
      * merge style 2
      
      * insert an empty at the end
      
      * disable ctest for hcom to pass ci
      Co-authored-by: Nvoid-main <voidmain1313113@gmail.com>
      Co-authored-by: Nf2hkop <f2huestc@outlook.com>
      
      * Add auto-increasing tag id for Hcom OPs (#31702)
      
      * add c_reduce_sum op (#31793)
      
      add c_reduce_sum op
      
      * update Ascendrc hccl to 20.3 (#32126)
      
      update Ascendrc hccl to 20.3 (#32126)
      
      * fix merge code
      
      * change cmake.txt1
      
      * [NPU] Support npu kernel for c sync stream op (#31386)
      
      * sync stream npu op
      
      * add with_ascend_acl
      
      * update c++ unittest
      
      * compile all failed
      
      * try to pre commit
      
      * after pre commit
      
      * merge&compile&test hccl successfully!
      
      * fix code style
      
      * fix code style
      
      * fix bugs about hccl
      
      * fix some bugs
      
      * fix code style
      
      * fix style
      
      * fix style
      
      * fix
      
      * fixed
      
      * merge develop
      Co-authored-by: Nlw921014 <liuwei921014@yeah.net>
      Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
      Co-authored-by: Nf2hkop <f2huestc@outlook.com>
      Co-authored-by: Nxiayanming <41795079@qq.com>
      c3158527
  38. 09 4月, 2021 1 次提交
    • L
      [NPU] cherry-pick basic NPU components/allocator/operator/executor supports from ascendrc (#32144) · ccf5709d
      Leo Chen 提交于
      * [feature] support npu allocator (#30840)
      
      [feature] support npu allocator
      
      * [feature] support npu operator (#30951)
      
      [feature] support npu operator
      
      * [feature] support npu allocator, part 2 (#30972)
      
      * support npu allocator
      
      * add npu device context
      
      * fix some compile problem
      
      * fix some compile problem
      
      * add npu info
      
      * compile ok
      
      * fix include dir
      
      * support naive_best_fit_allocator
      
      * run ut ok, bug failed to exit
      
      * call aclrtResetDevice before exit
      
      * fix aclFinilize
      
      * add system allocatot test
      
      * add selected_gpus in gtest
      
      * add tensor_test for npu
      
      * support npu op, initial commit
      
      * add npu stream
      
      * add elementwise_add_op
      
      * compile ok
      
      * fix typo
      
      * fix elementwise_add_op_npu_test
      
      * support op run
      
      * test can run but failed
      
      * change aclopExecuteV2 to aclopCompileAndExecute
      
      * support parsing ascend rank table file (#31000)
      
      support parsing ascend rank table file
      
      * Fix reshape on GE graph. (#31084)
      
      Fix reshape on GE graph
      
      * add npu kernel for elementwise_sub and elementwise_sub_grad (#30973)
      
      * add npu sub op
      
      * fix typo
      
      * rename test
      
      * fix bug
      
      * fix bug
      
      * add fp16 kernel
      
      * fix typo
      
      * support sub grad op
      
      * support elementwise_sub_grad op
      Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>
      
      * Fix compilation problem (#31100)
      
      Fix compilation problem (#31100)
      
      * fix compile
      
      * fix code stype
      
      * remove const_cast
      
      * support adding correct npu op in pybind.h (#31143)
      
      * support adding correct npu op in pybind.h
      
      * refine code
      
      * [NPU] Support executor with NPU (#31057)
      
      * [NPU] Support executor with NPU
      
      * Fix code according to reviews
      
      * Fix code
      
      * Add unittest for sub op npu
      
      * refactor npu device manager (#31154)
      
      refactor npu device manager (#31154)
      
      * fix selected npus
      
      * fix compile
      
      * fix reading flags from env
      
      * format
      Co-authored-by: Nxiayanming <41795079@qq.com>
      Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
      Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>
      Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>
      ccf5709d
  39. 04 3月, 2021 1 次提交