1. 20 4月, 2019 1 次提交
  2. 08 3月, 2019 1 次提交
  3. 07 3月, 2019 1 次提交
  4. 20 12月, 2018 1 次提交
  5. 18 12月, 2018 1 次提交
  6. 17 12月, 2018 1 次提交
  7. 26 10月, 2018 1 次提交
  8. 20 8月, 2018 1 次提交
    • Y
      Optimize CRF Decoding with AVX/AVX2/AVX512F instruction (#12767) · 084d4a9e
      Yihua Xu 提交于
      * Optimize CRF decoding with AVX/AVX2 instruction
      
      * Enable the AVX2 flags for compiling
      
      * Clean the code and decrease the count of multiply calculation
      
      * Add the support of AVX512 instruction to optimize CRF Decoding
      
      * Clean the code
      
      * Enable the AVX512f flags for compiling
      
      * Clean the code for the invaluable switch
      
      * Fixed the issue to check AVX512F status
      
      * Clean the code
      
      * Add some explanation of the key points
      084d4a9e
  9. 11 4月, 2018 1 次提交
  10. 12 2月, 2018 1 次提交
  11. 10 2月, 2018 2 次提交
  12. 08 1月, 2018 1 次提交
    • Q
      cpu gpu transform function (#7191) · 0f353ab4
      Qiao Longfei 提交于
      * add rename guard
      
      * add device_data_transform
      
      * add device_data_transform_test
      
      * modify GetExpectedKernelType
      
      * update operator.run
      
      * support test test_label_semantic_roles
      
      * optimize code
      
      * optimize code
      
      * rename GetActualKernelType to GetExpectedKernelType
      
      * fix chunk_eval_op and device_data_transform_test
      
      * add is_same_place to place
      
      * optimize code, refine rename_guard
      
      * refine rename guard, add GetKernelTypeForVar
      
      * optimize code
      
      * add some log
      
      * rename guard
      
      * use sub scope to create var
      
      * fix compile
      
      * add IsInitialized for Tensor
      
      * add VarIsTensor
      
      * fix op_registry_test
      
      * test
      
      * tmp disable priority
      
      * restore switch_kernel.md
      
      * code clean
      0f353ab4
  13. 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
  14. 05 12月, 2017 1 次提交
  15. 04 11月, 2017 1 次提交