1. 10 1月, 2019 1 次提交
    • W
      [Feature] support mix precision training for resnet (#14899) · fd854183
      Wu Yi 提交于
      * clip softmax for fp16
      
      * updates
      
      * fuse xent support fp16 test=develop
      
      * wip
      
      * wip
      
      * add simple row reduce
      
      * wip fp16 accurate softmax
      
      * add accurate softmax kernel for fp16 test=develop
      
      * update test=develop
      
      * fix cpu build test=develop
      
      * update api.spec test=develop
      
      * follow comments test=develop
      
      * fix build test=develop
      
      * fix trt build test=develop
      
      * fix inference build test=develop
      
      * fix merge test=develop
      
      * update test=develop
      
      * try fix build test=develop
      
      * fix build test=develop
      
      * rename real_exp test=develop
      
      * fortest
      
      * remove hacky kernels test=develop
      
      * clean up test=develop
      fd854183
  2. 18 11月, 2018 1 次提交
  3. 14 11月, 2018 2 次提交
  4. 09 11月, 2018 1 次提交
  5. 15 3月, 2018 1 次提交
    • D
      [Speed]implement cudnn sequence softmax cudnn (#8978) · 128adf53
      dzhwinter 提交于
      * "add softmax cudnn functor support"
      
      * "add testing"
      
      * "refine cmakelist"
      
      * "sequence softmax forward speed up"
      
      * "add softmax grad"
      
      * "fix sequence softmax test"
      
      * "add double precision'
      
      * "fix softmax test"
      
      * "add softmax cudnn support"
      
      * "fix softmax cudnn test"
      
      * "add softmax to nn.py"
      
      * "fix compile bug"
      
      * "refine cmakelist"
      
      * "fix ci"
      
      * "fix based on comment"
      
      * "fix based on comments"
      
      * "fix ci"
      128adf53
  6. 12 2月, 2018 1 次提交
  7. 10 2月, 2018 2 次提交
  8. 12 12月, 2017 1 次提交
    • Q
      Refine device context (#6433) · 61ec0b95
      QI JUN 提交于
      There are mainly following fixes:
      
      - take `DeviceContext` as the template parameter of math functors and OpKernel instead of `Place`
      - remove `eigen_device` interface in base class  `DeviceContext`
      - remove `GetEigenDevice` interface in `ExecutionContext` and base class `DeviceContext`
      - remove unused `platform::EigenDeviceConverter`
      - rename `REGISTER_OP_GPU_KERNEL` to `REGISTER_OP_CUDA_KERNEL`
      - rename `USE_GPU_ONLY_OP` to `USE_CUDA_ONLY_OP`
      61ec0b95
  9. 13 11月, 2017 1 次提交
  10. 29 9月, 2017 1 次提交
  11. 28 9月, 2017 1 次提交
  12. 26 9月, 2017 2 次提交
  13. 22 9月, 2017 1 次提交
  14. 13 9月, 2017 1 次提交
  15. 12 9月, 2017 1 次提交
  16. 04 8月, 2017 1 次提交
  17. 03 8月, 2017 1 次提交
  18. 26 7月, 2017 1 次提交
  19. 24 7月, 2017 1 次提交
  20. 20 7月, 2017 3 次提交