1. 19 6月, 2019 1 次提交
    • F
      Cherry pick retinanet_target_assign_op(#17893), sigmoid_focal_loss_op(#17895)... · 3305045c
      FlyingQianMM 提交于
      Cherry pick retinanet_target_assign_op(#17893), sigmoid_focal_loss_op(#17895) and retinanet_detection_output_op(#17896) for supporting retinanet (#18141)
      
      * test=release/1.5
      Fix conflicts in test_layers.py when adding target assign operator for supporting retinanet. Cherry pick #17893
      
      * test=release/1.5
      Add sigmoid focal loss operator for supporting retinanet. Cherry pick #17895
      
      * test=release/1.5
      Add detection output operator for supporting retinanet. Cherry pick #17896
      
      * test=release/1.5
      fix wrong code style in test_layers.py when cherry pick retinanet_target_assign #17893
      
      * test=release/1.5
      Fix type error of std::pow in sigmoid_focal_loss. Cherry pick #17895
      3305045c
  2. 18 6月, 2019 1 次提交
  3. 10 6月, 2019 1 次提交
  4. 14 5月, 2019 2 次提交
  5. 08 5月, 2019 1 次提交
  6. 06 5月, 2019 1 次提交
  7. 30 4月, 2019 1 次提交
  8. 26 4月, 2019 1 次提交
    • X
      Detailed coordinate description for yolov3 loss (#17007) · 7da7881c
      xiaoting 提交于
      * Detailed coordinate description for yolov3 loss
      
      test=develop
      
      * modified api.spec
      
      test=develop
      
      * modified loss name
      
      * fix api.spec
      
      test=develop
      
      * polish description
      
      test=develop
      
      * modified api.spec
      
      test=develop
      7da7881c
  9. 25 4月, 2019 1 次提交
  10. 22 4月, 2019 2 次提交
  11. 12 4月, 2019 1 次提交
  12. 11 4月, 2019 1 次提交
  13. 27 3月, 2019 1 次提交
  14. 19 3月, 2019 1 次提交
  15. 15 3月, 2019 1 次提交
  16. 13 3月, 2019 1 次提交
    • G
      resolve #15618 (#16114) · decdbed0
      guomingz 提交于
      * resolve #15618
      Backgroud: the PR #15398 raised the box_coder op performance regression, we optimized the code via the more efficency leveraging opemmp.
      decdbed0
  17. 12 3月, 2019 22 次提交