1. 10 2月, 2018 2 次提交
  2. 14 1月, 2018 1 次提交
    • D
      "cudnn operators change to cudnn kernel" (#6660) · 5ad1aef0
      dzhwinter 提交于
      * "unified operators"
      
      * "add CUDNN register"
      
      * "add use cudnn attribute"
      
      * "add attribute"
      
      * "test conv tranpose op"
      
      * "remove duplicated attr"
      
      * "fix op test"
      
      * "add attribute to set cudnn"
      
      * "add more log"
      
      * "need layout op register support"
      
      * "add more log"
      
      * "change GetExpectedKernelType "
      
      * "fix Get attr in conv_op"
      
      * "fix CI"
      
      * "fix tests"
      
      * "removed kernel priority fallback"
      
      * "fix CI"
      
      * "fix stack pointer bug"
      
      * "refine buggy interface"
      
      * "add const cast to save life"
      
      * "fix get_output_with_grad"
      
      * "fix op test with dataformat"
      
      * ""fix pooling
      
      * "fix pooling test"
      
      * "fix CI"
      
      * "fix with_gpu error"
      
      * "add transform needed functional check"
      
      * "fix unpack list error"
      
      * "comment out parallel.do temporary"
      
      * "fix CI"
      
      * "fix compile doc error"
      
      * "make threshold larger"
      5ad1aef0
  3. 26 12月, 2017 1 次提交
  4. 25 12月, 2017 1 次提交
  5. 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
  6. 17 11月, 2017 1 次提交