1. 18 6月, 2022 1 次提交
  2. 16 6月, 2022 1 次提交
  3. 15 6月, 2022 3 次提交
  4. 13 6月, 2022 2 次提交
  5. 09 6月, 2022 1 次提交
  6. 08 6月, 2022 1 次提交
  7. 07 6月, 2022 1 次提交
  8. 05 6月, 2022 1 次提交
  9. 04 6月, 2022 1 次提交
  10. 19 5月, 2022 1 次提交
  11. 13 5月, 2022 1 次提交
  12. 05 5月, 2022 1 次提交
  13. 04 5月, 2022 1 次提交
  14. 22 4月, 2022 1 次提交
    • M
      [WIP] Algorithm Cache of cuBlasLt Epilogue (#41010) · 19650d72
      Ming-Xu Huang 提交于
      * Fix leading dimension setting error in fused_gemm_epilogue_grad_op.
      
      * Add dyload to cuBlasLt functions.
      
      * Added cublasLtMatmulAlgoGetHeuristic to improve performance.
      
      * Added FLAGS_cublaslt_exhaustive_search_times to cublasLt epilogue
      
      * Added UTs to FLAGS_cublaslt_exhaustive_search_times
      
      * Added warmup runs in algo searching of Gemm epilogue.
      
      * Update copyright and documents.
      
      * Fixed error handling.
      19650d72
  15. 21 4月, 2022 1 次提交
  16. 12 4月, 2022 2 次提交
  17. 09 4月, 2022 1 次提交
  18. 01 4月, 2022 1 次提交
    • C
      [Phi]Interploatd kernels into phi (#40855) · d65a7a46
      chentianyu03 提交于
      * add interploate cpu kernel
      
      * fix nullptr bug
      
      * add interpolate gpu kernel
      
      * fix unit test error
      
      * remove raw kernels
      
      * add cuda kernel impl
      
      * add infermeta
      
      * recover accidentally deleted kernels in interpolate op
      
      * fix grad x_grad name error
      
      * remove interpolate_v2_op.h
      
      * rm unused codes
      
      * fix xpu build error
      
      * fix build error
      
      * fix namespace error
      
      * add register header for nup
      
      * fix infermeta error
      
      * modify by review
      
      * add the missing args in test_trt_convert_nearest_interp_v2
      d65a7a46
  19. 25 3月, 2022 2 次提交
  20. 24 3月, 2022 1 次提交
  21. 17 3月, 2022 1 次提交
    • W
      Trt engine. (#40532) · 3082ed46
      Wilber 提交于
      * infrt add trt engine
      
      * fix register
      
      * file generate
      
      * fix ci error
      
      * fix conflict
      
      * add copyright
      
      * update
      
      * update
      
      * update
      
      * update engine name
      
      * refactor trt code
      
      * update
      
      * update
      
      * update
      
      * update
      
      * fix conflict
      
      * update
      
      * fix compile with cuda
      3082ed46
  22. 16 3月, 2022 1 次提交
  23. 15 3月, 2022 1 次提交
  24. 14 3月, 2022 1 次提交
    • L
      fix gpu callback (#40445) · 2c21d240
      Leo Chen 提交于
      * fix gpu conetxt callback
      
      * fix gpu callback
      
      * fix callback early destruct problem
      2c21d240
  25. 11 3月, 2022 1 次提交
  26. 07 3月, 2022 1 次提交
    • M
      cuBlasLt Epilogue To Fuse Linear + ReLU|GeLU (#39437) · 2a3d9eca
      Ming-Xu Huang 提交于
      * Added cuBlasLtHandle_t to device context.
      
      * Added fused_gemm_epilogue op.
      
      1. Added fused_gemm_epilogue op to leverage cuBlastLt Epilogue.
      2. Support fusion Act(X*Y + bias), X'dims >=2 and Y'dims shoule be 2.
      2. Act currently only be supported ReLU. (Will add GeLU in the future).
      
      * Added UT to fused_gemm_epilogue op.
      
      * Added LinearAct Pattern
      
      1. Added LinearAct into graph_pattern_detector.* to define (2.)'s
      pattern.
      2. LinearAct is used to detect act(element_add(matmul_v2(x, w), bias)).
      3. act currently only support ReLU (Will support GeLU in the future).
      
      * Added FuseGemmEpiloguePass
      
      1, Added FuseGemmEpiloguePass to handle nn.Linear + Act{ReLU}
      fusion (GeLU will be supported in the future).
      2. Only support matmul_v2 from nn.Linear.
      
      * Added pybind to BuildStrageter.fuse_gemm_epilogue_.
      
      * Added UT for fuse_gemm_epilogue_pass.
      
      * GeLU support and EpilogueSingleton
      
      1. Added GeLU support to fused_gemm_epilogue op.
      2. Added EpilogueSingleton to cache auxiliary pointer.
      3. Added related UTs.
      
      * Rename cublaslt_epilogue_opto gemm_epilogue_op.*.
      
      * Added both train and infer pattern to LinearAct.
      
      1. Added support of fwd graph with grap_ops linking to LinearAct.
      2. Added related changes to fuse_gemm_epilogue_pass for above
      modification.
      
      * Changed CUDA requirement from 11.4 to 11.6 for fuse_gemm_epilogue_pass.
      
      * Added identity activation support to gemm_epilogue_op.
      
      * Added Linear Fusion (matmul_v2 + ele_add)
      
      1. Added matmul_v2 + ele_add pattern to LinearActPattern.
      2. Added matmul_v2 + ele_add support to fuse_gemm_epilogue_pass.
      
      * Rename gemm_epilogue_op.* to fused_gemm_epilogue_op.*
      
      * Add fused_gemm_epilogue_grad op.
      
      1. Added fused_gemm_epilogue_grad to support backward epilogue fusion.
      
      * Add UTs to fused_gemm_epilogue_grad_op.
      
      * Change attribute name in fused_gemm_epilogue_grad_op for clearing.
      
      * Allow DX and DBias be dispensable to fused_gemm_epilogue_grad op.
      
      * Added ElementwiseAdd+Matmul+Act graph pattern detection.
      
      * Fuse backward of Linear( Act(x))
      
      1. Added backward fusion pass to Linear( Act(x)).
      2. Added backward fusion pass to Linear(x).
      
      * Added UTs to backward fusion of Linear(Act(x)).
      
      * Complete document of arguments to fused_gemm_epilogue_op.
      
      * Made arguments of some functions pass by reference.
      
      * Modify code with review comments.
      
      1. Made arguments of some function pass by reference.
      2. Removed redundant code.
      3. Followed Google code style to change code.
      
      * Made 'const' code style be consistent
      
      * Fixed random seed of python UTs.
      
      * Set Compiling constrains to cuBlasLt
      
      1. Require CUDA 11.6+
      2. Remove fuse_gemm_epilogue related tests when CUDA < 11.6.
      
      * Code Reivew from Paddle
      
      1. Changed arguments name is_first_gemm to without_x_gradient for
      clearing.
      2. Applied PADDLE_THROW in fused_gemm_epilogue_op.
      
      * Remove EpilogueSingleton
      
      1. Applied ReserveSpace to replace Epilogue for passing auxiliary
      pointers between FWD and BWD.
      
      * Fix a logical error and enhance UTs.
      
      1. Added act op count checking in UTs.
      2. Fix issue to fuse backward or ReLU(Linear(X)).
      3. TODO: solve GELU fusion issues.
      
      * Fix Linear and GeLU fusion issues.
      
      1. Modified graph_detech_pattern to fit with both linear wiht gelu or
      relu.
      2. Modified data range in Uts to allow negative values.
      
      * Removed fused_gemm_epilogue_op.h.
      
      * Rename namespace pten to phi.
      
      * Rename name of arguments in fused_gemm_epilogue_op
      
      1. bias -> Bias.
      2. out -> Out.
      3. reserve_space -> ReserveSpace.
      
      * Change EpiloguePassActivationCache as local variable.
      
      1. Removed singleton in EpiloguePassActivationCache.
      2. Made EpiloguePassActivationCache as an argument to each pass
      functions.
      2a3d9eca
  27. 04 3月, 2022 1 次提交
  28. 03 3月, 2022 1 次提交
  29. 01 3月, 2022 1 次提交
  30. 28 2月, 2022 2 次提交
  31. 25 2月, 2022 1 次提交
    • C
      [Phi] Support cudnn kernel moving & move softmax kernels (#39547) · 8895379a
      Chen Weihang 提交于
      * support cudnn kernel moving
      
      * polish cmake rules
      
      * add unittest for coverage
      
      * remove orig kernel
      
      * remove softmax cudnn kernel
      
      * fix softmax test failed
      
      * fix npu func error
      
      * resolve conflict
      
      * rename gpu dnn kernels
      
      * fix name rule error
      
      * fix compile error
      
      * update fp16 namespace
      8895379a
  32. 24 2月, 2022 1 次提交
  33. 23 2月, 2022 1 次提交
  34. 22 2月, 2022 1 次提交
    • X
      change Vector to std::vector and provide MixVector class as a helper … (#39559) · 728c0624
      xiongkun 提交于
      * change Vector to std::vector and provide MixVector class as a helper wrapper class
      
      * solve the multi-gpu hang problem
      
      * remove the duplicate template instantialize
      
      * Copy vector to cpu
      
      * add CopyToCPU
      
      * xxx
      
      * final version: fix the problem of all reduce
      
      * remove mixvector dependence
      
      * fix
      
      * merge
      
      * fix code
      
      * fix by CI
      728c0624