Fix npu op bug. #3122
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Fix npu op bug. #3122
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HAOCHENYE
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mmcv/ops/nms.py
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| @@ -415,6 +415,8 @@ def nms_rotated(dets: Tensor, | |||
| order = scores.new_empty(0, dtype=torch.long) | |||
| if dets.device.type == 'npu': | |||
| coefficient = 57.29578 # 180 / PI | |||
| dets_cw = dets_cw.float() | |||
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dets.float will return a copy of dets. So , is it necessary to copy dets to dets_cw before?
mmcv/ops/nms.py
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| @@ -415,6 +415,8 @@ def nms_rotated(dets: Tensor, | |||
| order = scores.new_empty(0, dtype=torch.long) | |||
| if dets.device.type == 'npu': | |||
| coefficient = 57.29578 # 180 / PI | |||
| dets_cw = dets_cw.float() | |||
| scores = scores.float() | |||
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If dets is a float16 tensor, it will be concated with a float32 tensor scores here. Is it expected?
| if torch.cuda.current_device() != points_device: | ||
| torch.cuda.set_device(points_device) | ||
| elif points.device.type == 'npu': | ||
| boxes[:, :, 2] += boxes[:, :, 5] / 2.0 |
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Update voxelization_npu.cpp Update test_voxelization.py Update voxelization_npu.cpp Update voxelization_npu.cpp Update voxelization_npu.cpp
Add NPU support for dynamic voxelization
repair nms_rotated npu bug
add dtype check for roi_align
Update box_iou_rotated_npu.cpp
Bugfix of NPU adapter of nms3d
Adapt boxes_overlap_bev to box_iou_rotated
fix the bug of DeformableRoiPoolGrad
Interfaces change.
points_in_boxes_all的mmcv适配
修改knn与three_nn的适配层代码以适应新版本修改
codeclean npu/boxes_overlap_bev_npu.cpp
adapt npu box_iou_quadri
新增RoiAlignRotatedV2适配层
update point_to_voxel & voxel_to_point in scatter_points.py
add assign_score_withk NPU adaptation
update points_in_boxes_all
border_align算子NPU适配
add new npu op roiaware_pool3d && fix npu op scatter_points bug
pixel_group适配层修改
scatter points bug fix
update nms_rotated from openmmlab.mmcv main
roi_align_rotated_v2
add pixel_group_npu
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