KeyError: 'pred_vectors' An error occurred during the last training session. May I ask what happened

[tonyLMs]

Epoch: [0] [39428/39429] eta: 0:00:00 lr: 0.000200 class_error: 60.00 grad_norm: 32.79 loss: 3.9304 (4.0446) loss_ce: 1.6838 (1.6791) loss_bbox: 0.8631 (1.0390) loss_giou: 1.3310 (1.3266) loss_ce_unscaled: 0.8419 (0.8395) class_error_unscaled: 81.2500 (71.9218) loss_bbox_unscaled: 0.1726 (0.2078) loss_giou_unscaled: 0.6655 (0.6633) cardinality_error_unscaled: 294.6667 (293.4123) time: 0.4156 data: 0.0000 max mem: 19834
Epoch: [0] Total time: 4:32:57 (0.4154 s / it)
Averaged stats: lr: 0.000200 class_error: 60.00 grad_norm: 32.79 loss: 3.9304 (4.0446) loss_ce: 1.6838 (1.6791) loss_bbox: 0.8631 (1.0390) loss_giou: 1.3310 (1.3266) loss_ce_unscaled: 0.8419 (0.8395) class_error_unscaled: 81.2500 (71.9218) loss_bbox_unscaled: 0.1726 (0.2078) loss_giou_unscaled: 0.6655 (0.6633) cardinality_error_unscaled: 294.6667 (293.4123)
Traceback (most recent call last):
File "/root/autodl-tmp/solq/main.py", line 407, in
main(0, ngpus_per_node, args)
File "/root/autodl-tmp/solq/main.py", line 362, in main
test_stats, coco_evaluator = evaluate(
File "/root/miniconda3/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/root/autodl-tmp/solq/engine.py", line 125, in evaluate
results = postprocessors['bbox'](outputs, orig_target_sizes)
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/root/autodl-tmp/solq/models/solq.py", line 479, in forward
out_logits, out_bbox, out_vector = outputs['pred_logits'], outputs['pred_boxes'], outputs['pred_vectors']
KeyError: 'pred_vectors'

batchsize=3 An error occurred during the last training session. May I ask what happened