1. 24 5月, 2023 1 次提交
  2. 23 5月, 2023 2 次提交
  3. 22 5月, 2023 1 次提交
    • T
      Add multiclass_nms3 GPU kernel (#52401) · f71c805e
      Tian Zheng 提交于
      * Add GPU kernel for multiclass_nms3 op
      
      * Make multiclass_nms3 gpu kernel output consistent with cpu kernel
      
      * Fix API incompatibility
      
      * Fix unittests on builds without CUDA
      
      * Fix ROCM build
      
      * Remove fluid headers; Use default atol for unittest
      
      * Change function and variable naming
      
      * Add comments; Reduce redundant code
      
      * Use paddle test framework
      f71c805e
  4. 19 5月, 2023 3 次提交
  5. 18 5月, 2023 3 次提交
  6. 17 5月, 2023 1 次提交
  7. 16 5月, 2023 5 次提交
  8. 15 5月, 2023 3 次提交
  9. 12 5月, 2023 6 次提交
    • P
      【Hackathon 4 No.20】Add i0 / i0e to paddle (#52058) · ce256f75
      PommesPeter 提交于
      * added base code for i0 and i0e
      
      * added grad base code for i0 and i0e
      
      * added i0 and i0e python code
      
      * added ops and backward yaml config
      
      * added i0 and i0e cpu kernel, but not test.
      
      * added i0 and i0e code and unitest files
      
      * added test files
      
      * added i0/i0e gpu implementation code
      
      * updated code style
      
      * updated code style
      
      * fixed unitests code
      
      * updated i0 with eigen3
      
      * fixed bug and added more test cases
      
      * refactor: fixed static graph bug
      
      * refactor: removed i0 and i0e from op_compat
      
      * refactor: updated code style
      
      * refactor: updated op_compat.yaml
      
      * refactor: updated op_compat.yaml
      
      * refactor: fixed op name mapping and optimize unittest case
      
      * refactor: manually implement i0 / i0e
      
      * refactor: added grad kernel for i0 / i0e,didn't finish
      
      * Update math.py
      
      * refactor: added equation to doc in English and added comments for computing i0 / i0e gradient
      
      * refactor: removed eigen implementation
      
      * refactor: finished i0 / i0e cpu and gpu op
      
      * refactor: updated code style
      
      * fix: find  a bug but not fix
      
      * fix: incorrect unittest cases
      
      * update: updated code style and remove my file
      
      * update: updated unittest case
      
      * fix: fixed sign error
      
      * fix: fixed mistakes when merging
      
      * refactor: updated code style
      
      * refactor: remove unused code
      
      * refactor: updated code style
      ce256f75
    • L
      fix add_n kernel of large shape (#53749) · 4d39cc7f
      Leo Chen 提交于
      4d39cc7f
    • X
      【prim】add forward output for Silu grad signature (#53632) · 3846111d
      xiaoguoguo626807 提交于
      * add rules
      
      * modify silu_grad input
      
      * modify kernel signature
      
      * modify kernel signature
      
      * code style
      
      * review
      3846111d
    • W
      sequence_mask functionalization (#53478) · d2b1e3c2
      Wang Xin 提交于
      * sequence_mask functionalization
      
      * fix sequence_mask test
      d2b1e3c2
    • H
      move pow2_decay_with_linear_warmup kernel to phi (#53741) · 348565b0
      huangjiyi 提交于
      * update
      
      * update
      348565b0
    • fix er error msg of index_put Op (#53717) · 92db839f
      傅剑寒 提交于
      92db839f
  10. 10 5月, 2023 4 次提交
  11. 09 5月, 2023 1 次提交
  12. 08 5月, 2023 2 次提交
  13. 06 5月, 2023 3 次提交
  14. 05 5月, 2023 3 次提交
  15. 04 5月, 2023 1 次提交
  16. 28 4月, 2023 1 次提交
    • B
      Dropout optimize & clean broadcast inT and ElementwiseType (#52969) · d611e48c
      Bo Zhang 提交于
      * change judgement for DropoutGradGPUKernelDriver
      
      * add UnrollerWithoutVecSize and after this Loaddata to be refined
      
      * pass unittest
      
      * use same unroller with XPU
      
      * BroadcastWithInt64Index
      
      * BroadcastDataLoader template partial specialization
      
      * fix compile errs in ROCms
      
      * clean ElementwiseT and InT for BroadcastKernel
      
      * default axis and clean inT
      
      * remove redundant fast divmod computation
      
      * optimize drop_nd & drop_nd_grad
      
      * optimize BroadcastDataLoader bf16 fp16
      
      * rm InT etc. after merge develop
      
      * delete constexpr for windows ci
      
      * fix conflict
      
      * fix conflic with develop
      
      * fix conflic
      
      * new clean
      
      * clean
      d611e48c