1. 07 9月, 2022 1 次提交
  2. 01 8月, 2022 1 次提交
    • L
      unify gpu context (#44740) · 86763023
      Leo Chen 提交于
      * remove cudaDeviceContext
      
      * remove more template
      
      * fix rocm compile
      
      * remove alias name CUDADeviceContext
      
      * fix compile
      
      * fix tests
      
      * revert changes
      86763023
  3. 26 6月, 2022 1 次提交
  4. 09 4月, 2022 1 次提交
  5. 20 2月, 2022 1 次提交
  6. 19 2月, 2022 1 次提交
    • A
      [Pten]Unify paddle/pten::framework::ddim into pten::ddim (#39614) · 2fe04264
      Aurelius84 提交于
      * Unify paddle/pten::framework::ddim into pten::ddim
      
      * fix paddle namespace
      
      * compile sucessfully
      
      * fix npu src file
      
      * fix conflict
      
      * fix conflict
      
      * fix tensorrt compiler error
      
      * fix conflict
      
      * fix conflict
      
      * fix tesst file conflict
      
      * fix conflict
      
      * fix mlu file conflict
      
      * fix mlu file conflict
      
      * fix cinn header file conflict
      
      * fix conflict
      
      * fix conflict
      
      * fix conflict
      
      * fix conflict
      2fe04264
  7. 03 12月, 2021 1 次提交
  8. 15 4月, 2021 1 次提交
  9. 11 1月, 2021 1 次提交
  10. 05 8月, 2020 1 次提交
  11. 07 1月, 2020 1 次提交
  12. 05 9月, 2019 1 次提交
  13. 23 4月, 2019 1 次提交
  14. 25 1月, 2019 1 次提交
    • C
      Revert conv transpose cudnn (#15514) · f8f91fb4
      chengduo 提交于
      * Revert "set constant for loss"
      
      This reverts commit 167933f678ccbb3563e949710279efe004a27731.
      
      * Revert "remove workspace_handle"
      test=develop
      This reverts commit b4aca8ede9e685bce1dfb1c59e63919f33432572.
      f8f91fb4
  15. 22 1月, 2019 1 次提交
  16. 03 1月, 2019 1 次提交
  17. 28 12月, 2018 1 次提交
    • Q
      Inception fusion operator. (#14968) · 6f0a1d7b
      qingqing01 提交于
      * Inception fusion operator.
      * Support horizontal layer fusion in conv_fusion_op.
      * Search conv algo strategy for variable-length input.
         search N times and cache the searched algos. For other input, choose the algo of input whose area is closest to this input.
      6f0a1d7b