1. 02 11月, 2018 1 次提交
  2. 22 10月, 2018 1 次提交
  3. 21 10月, 2018 4 次提交
  4. 15 9月, 2018 1 次提交
  5. 14 9月, 2018 1 次提交
  6. 11 9月, 2018 1 次提交
  7. 10 9月, 2018 1 次提交
  8. 21 8月, 2018 1 次提交
    • M
      Fuse Convolution and Eltwise Add into MKLDNN's Conv+Bias (#12669) · cd32ddac
      Michał Gallus 提交于
      * Fuse Convolution and Eltwise Add into Conv+Bias
      
      * Reduce bias branching at conv_mkldnn_op
      
      * Add MKLDNN build checks for Conv Bias
      
      * Conv-bias: check if bias input exist befor assignment
      
      * Conv-bias: Remove Bias dim check from infershape
      
      It was causing conv3d test to crash upon\ncalling HasInput(Bias)
      cd32ddac
  9. 11 6月, 2018 2 次提交
  10. 07 6月, 2018 1 次提交
    • M
      Mkldnn layout (#11040) · 3ff9ba0e
      mozga-intel 提交于
      * Add MKLDNN layout support in Paddle
      
      Add MKLDNN layout in Paddle so that MKLDNN friendly memory layout
      can be used in MKLDNN enabled OP kernel. Before this commit, NCHW
      is hardcode to be used in all MKLDNN op kernels. As a result,
      non-optimized execution path is selected in MKLDNN primitive which
      bring worse performance.
      Besides framework change, three MKLDNN OP kernels were updated
      for using new MKLDNN layout. They are conv/pool2d/batch_norm.
      Other MKLDNN OP kernels need be also updated in similar way to
      achieve best performance.
      
      * Add MKLDNN layout support in activation OP
      
      * Don't populate layout from input to output when kMKLDNN in
      
      * Refine pool mkldnn op kernel
      
      * MKLDNN layout
      
      * Remove the inferitance from tensor file
      
      * MKLDNN layout: refactoring
      
      * Remove additional #define to register new operator
      
      * Prepare mkldnn tests to work with layout
      3ff9ba0e
  11. 08 5月, 2018 1 次提交
    • Y
      Clean OpProtoAndCheckerMaker · 0e78cb69
      Yu Yang 提交于
      Do not use ctor
      
      * Reduce line of codes.
      * We can use virtual function for Maker now.
      * The implementation does not care what maker holds, it is easier to
      refactor later.
      0e78cb69
  12. 19 4月, 2018 1 次提交
  13. 17 4月, 2018 1 次提交
  14. 04 4月, 2018 1 次提交
  15. 16 3月, 2018 2 次提交
  16. 07 3月, 2018 1 次提交
  17. 28 2月, 2018 1 次提交
  18. 27 2月, 2018 1 次提交
  19. 16 2月, 2018 2 次提交
  20. 12 2月, 2018 1 次提交
  21. 10 2月, 2018 2 次提交
  22. 02 2月, 2018 1 次提交
  23. 23 1月, 2018 1 次提交
  24. 22 1月, 2018 1 次提交
  25. 17 1月, 2018 3 次提交
  26. 15 1月, 2018 2 次提交
  27. 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
  28. 09 1月, 2018 1 次提交
    • Y
      Port WarpCTC Operator (#5107) · b5fda272
      Yiqun Liu 提交于
      * Add Seq2BatchFunctor, which will be used in WarpCTCOp.
      
      * Implement WrapCTCFunctor and WrapCTCKernel.
      
      * Add unittest of warpctc_op.
      
      * Modify the check_output inferface in python unittest framework to allow check a subset of outputs.
      
      * Use absolute offset lod in warpctc_op and related functors.
      
      * Refine the comments of warpctc_op.
      
      * The new python unittest supports checking a subset of the outputs, so revoke the previous change.
      
      * Rename the transform from LoDTensor to Tensor with shape [max_sequence_length, num_sequences, sequence_width] to PaddingSequenceFunctor.
      
      * Update to the newest codes.
      
      * Rename the PaddingSequenceFunctor to PaddingLoDTensorFunctor and remove the computation of dimensions out of the functos.
      b5fda272
  29. 04 1月, 2018 1 次提交
  30. 27 12月, 2017 1 次提交