在detectron2训练模型是出现RuntimeError: CUDA error: device-side assert triggered报错

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Traceback (most recent call last):
File "/home/fangrui/keypoint/detectron2/engine/train_loop.py", line 149, in train
self.run_step()
File "/home/fangrui/keypoint/detectron2/engine/defaults.py", line 495, in run_step
self._trainer.run_step()
File "/home/fangrui/keypoint/detectron2/engine/train_loop.py", line 273, in run_step
loss_dict = self.model(data)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/meta_arch/rcnn.py", line 157, in forward
proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/proposal_generator/rpn.py", line 471, in forward
gt_labels, gt_boxes = self.label_and_sample_anchors(anchors, gt_instances)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/proposal_generator/rpn.py", line 340, in label_and_sample_anchors
matched_idxs, gt_labels_i = retry_if_cuda_oom(self.anchor_matcher)(match_quality_matrix)
File "/home/fangrui/keypoint/detectron2/utils/memory.py", line 70, in wrapped
return func(*args, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/matcher.py", line 88, in call
assert torch.all(match_quality_matrix >= 0)
RuntimeError: CUDA error: device-side assert triggered
ERROR [03/19 23:07:35 d2.engine.train_loop]: Exception during training:
Traceback (most recent call last):
File "/home/fangrui/keypoint/detectron2/engine/train_loop.py", line 149, in train
self.run_step()
File "/home/fangrui/keypoint/detectron2/engine/defaults.py", line 495, in run_step
self._trainer.run_step()
File "/home/fangrui/keypoint/detectron2/engine/train_loop.py", line 273, in run_step
loss_dict = self.model(data)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/meta_arch/rcnn.py", line 157, in forward
proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/proposal_generator/rpn.py", line 471, in forward
gt_labels, gt_boxes = self.label_and_sample_anchors(anchors, gt_instances)
File "/home/fangrui/anaconda3/envs/mypytorch/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/proposal_generator/rpn.py", line 340, in label_and_sample_anchors
matched_idxs, gt_labels_i = retry_if_cuda_oom(self.anchor_matcher)(match_quality_matrix)
File "/home/fangrui/keypoint/detectron2/utils/memory.py", line 70, in wrapped
return func(*args, **kwargs)
File "/home/fangrui/keypoint/detectron2/modeling/matcher.py", line 88, in call
assert torch.all(match_quality_matrix >= 0)
RuntimeError: CUDA error: device-side assert triggered
[03/19 23:07:35 d2.engine.hooks]: Total training time: 0:00:01 (0:00:00 on hooks)
[03/19 23:07:35 d2.utils.events]: iter: 0 lr: N/A max_mem: 3112M