ERROR | yolox.core.launch:90 - An error has been caught in function 'launch', process 'MainProcess'

[lida2003]

I have got below error on jetson orin nano board, anyone met this before?

daniel@daniel-nvidia:~/Work/ByteTrack$ python3 tools/train.py -f exps/example/mot/yolox_x_ablation.py -d 1 -b 48 --fp16 -o -c pretrained/yolox_x.pth
2024-12-11 11:37:59 | INFO     | yolox.core.trainer:126 - args: Namespace(batch_size=48, ckpt='pretrained/yolox_x.pth', devices=1, dist_backend='nccl', dist_url=None, exp_file='exps/example/mot/yolox_x_ablation.py', experiment_name='yolox_x_ablation', fp16=True, local_rank=0, machine_rank=0, name=None, num_machines=1, occupy=True, opts=[], resume=False, start_epoch=None)
2024-12-11 11:37:59 | INFO     | yolox.core.trainer:127 - exp value:
╒══════════════════╤════════════════════╕
│ keys             │ values             │
╞══════════════════╪════════════════════╡
│ seed             │ None               │
├──────────────────┼────────────────────┤
│ output_dir       │ './YOLOX_outputs'  │
├──────────────────┼────────────────────┤
│ print_interval   │ 20                 │
├──────────────────┼────────────────────┤
│ eval_interval    │ 5                  │
├──────────────────┼────────────────────┤
│ num_classes      │ 1                  │
├──────────────────┼────────────────────┤
│ depth            │ 1.33               │
├──────────────────┼────────────────────┤
│ width            │ 1.25               │
├──────────────────┼────────────────────┤
│ data_num_workers │ 4                  │
├──────────────────┼────────────────────┤
│ input_size       │ (800, 1440)        │
├──────────────────┼────────────────────┤
│ random_size      │ (18, 32)           │
├──────────────────┼────────────────────┤
│ train_ann        │ 'train.json'       │
├──────────────────┼────────────────────┤
│ val_ann          │ 'val_half.json'    │
├──────────────────┼────────────────────┤
│ degrees          │ 10.0               │
├──────────────────┼────────────────────┤
│ translate        │ 0.1                │
├──────────────────┼────────────────────┤
│ scale            │ (0.1, 2)           │
├──────────────────┼────────────────────┤
│ mscale           │ (0.8, 1.6)         │
├──────────────────┼────────────────────┤
│ shear            │ 2.0                │
├──────────────────┼────────────────────┤
│ perspective      │ 0.0                │
├──────────────────┼────────────────────┤
│ enable_mixup     │ True               │
├──────────────────┼────────────────────┤
│ warmup_epochs    │ 1                  │
├──────────────────┼────────────────────┤
│ max_epoch        │ 80                 │
├──────────────────┼────────────────────┤
│ warmup_lr        │ 0                  │
├──────────────────┼────────────────────┤
│ basic_lr_per_img │ 1.5625e-05         │
├──────────────────┼────────────────────┤
│ scheduler        │ 'yoloxwarmcos'     │
├──────────────────┼────────────────────┤
│ no_aug_epochs    │ 10                 │
├──────────────────┼────────────────────┤
│ min_lr_ratio     │ 0.05               │
├──────────────────┼────────────────────┤
│ ema              │ True               │
├──────────────────┼────────────────────┤
│ weight_decay     │ 0.0005             │
├──────────────────┼────────────────────┤
│ momentum         │ 0.9                │
├──────────────────┼────────────────────┤
│ exp_name         │ 'yolox_x_ablation' │
├──────────────────┼────────────────────┤
│ test_size        │ (800, 1440)        │
├──────────────────┼────────────────────┤
│ test_conf        │ 0.1                │
├──────────────────┼────────────────────┤
│ nmsthre          │ 0.7                │
╘══════════════════╧════════════════════╛
/home/daniel/.local/lib/python3.8/site-packages/torch/functional.py:505: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/pytorch/pytorch/aten/src/ATen/native/TensorShape.cpp:3490.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2024-12-11 11:38:02 | INFO     | yolox.core.trainer:132 - Model Summary: Params: 99.00M, Gflops: 793.21
2024-12-11 11:38:06 | INFO     | yolox.core.trainer:291 - loading checkpoint for fine tuning
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.0.weight in checkpoint is torch.Size([80, 320, 1, 1]), while shape of head.cls_preds.0.weight in model is torch.Size([1, 320, 1, 1]).
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.0.bias in checkpoint is torch.Size([80]), while shape of head.cls_preds.0.bias in model is torch.Size([1]).
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.1.weight in checkpoint is torch.Size([80, 320, 1, 1]), while shape of head.cls_preds.1.weight in model is torch.Size([1, 320, 1, 1]).
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.1.bias in checkpoint is torch.Size([80]), while shape of head.cls_preds.1.bias in model is torch.Size([1]).
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.2.weight in checkpoint is torch.Size([80, 320, 1, 1]), while shape of head.cls_preds.2.weight in model is torch.Size([1, 320, 1, 1]).
2024-12-11 11:38:09 | WARNING  | yolox.utils.checkpoint:25 - Shape of head.cls_preds.2.bias in checkpoint is torch.Size([80]), while shape of head.cls_preds.2.bias in model is torch.Size([1]).
2024-12-11 11:38:09 | INFO     | yolox.data.datasets.mot:39 - loading annotations into memory...
2024-12-11 11:38:16 | INFO     | yolox.data.datasets.mot:39 - Done (t=6.44s)
2024-12-11 11:38:16 | INFO     | pycocotools.coco:88 - creating index...
2024-12-11 11:38:16 | INFO     | pycocotools.coco:88 - index created!
2024-12-11 11:38:20 | INFO     | yolox.core.trainer:150 - init prefetcher, this might take one minute or less...
2024-12-11 11:38:51 | ERROR    | yolox.core.launch:90 - An error has been caught in function 'launch', process 'MainProcess' (78890), thread 'MainThread' (281473143934992):
Traceback (most recent call last):

  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1135, in _try_get_data
    data = self._data_queue.get(timeout=timeout)
           │    │           │           └ 5.0
           │    │           └ <function Queue.get at 0xffff2415faf0>
           │    └ <queue.Queue object at 0xfffea80c62e0>
           └ <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0xfffea8091d30>
  File "/usr/lib/python3.8/queue.py", line 179, in get
    self.not_empty.wait(remaining)
    │    │         │    └ 4.999996639999154
    │    │         └ <function Condition.wait at 0xffff91dd10d0>
    │    └ <Condition(<unlocked _thread.lock object at 0xfffea80c6420>, 0)>
    └ <queue.Queue object at 0xfffea80c62e0>
  File "/usr/lib/python3.8/threading.py", line 306, in wait
    gotit = waiter.acquire(True, timeout)
            │      │             └ 4.999996639999154
            │      └ <method 'acquire' of '_thread.lock' objects>
            └ <locked _thread.lock object at 0xfffed003a390>
  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
    _error_if_any_worker_fails()
    └ <built-in function _error_if_any_worker_fails>

RuntimeError: DataLoader worker (pid 79134) is killed by signal: Killed.


The above exception was the direct cause of the following exception:


Traceback (most recent call last):

  File "tools/train.py", line 114, in <module>
    launch(
    └ <function launch at 0xffff21e639d0>

> File "/home/daniel/Work/ByteTrack/yolox/core/launch.py", line 90, in launch
    main_func(*args)
    │          └ (╒══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
    └ <function main at 0xffff22f4d160>

  File "tools/train.py", line 100, in main
    trainer.train()
    │       └ <function Trainer.train at 0xfffed70d8940>
    └ <yolox.core.trainer.Trainer object at 0xffff22f4efa0>

  File "/home/daniel/Work/ByteTrack/yolox/core/trainer.py", line 70, in train
    self.before_train()
    │    └ <function Trainer.before_train at 0xffff22f21e50>
    └ <yolox.core.trainer.Trainer object at 0xffff22f4efa0>

  File "/home/daniel/Work/ByteTrack/yolox/core/trainer.py", line 151, in before_train
    self.prefetcher = DataPrefetcher(self.train_loader)
    │                 │              │    └ <yolox.data.dataloading.DataLoader object at 0xfffea8091dc0>
    │                 │              └ <yolox.core.trainer.Trainer object at 0xffff22f4efa0>
    │                 └ <class 'yolox.data.data_prefetcher.DataPrefetcher'>
    └ <yolox.core.trainer.Trainer object at 0xffff22f4efa0>

  File "/home/daniel/Work/ByteTrack/yolox/data/data_prefetcher.py", line 26, in __init__
    self.preload()
    │    └ <function DataPrefetcher.preload at 0xfffed70d1e50>
    └ <yolox.data.data_prefetcher.DataPrefetcher object at 0xfffea80917f0>

  File "/home/daniel/Work/ByteTrack/yolox/data/data_prefetcher.py", line 30, in preload
    self.next_input, self.next_target, _, _ = next(self.loader)
    │                │                             │    └ <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0xfffea8091d30>
    │                │                             └ <yolox.data.data_prefetcher.DataPrefetcher object at 0xfffea80917f0>
    │                └ <yolox.data.data_prefetcher.DataPrefetcher object at 0xfffea80917f0>
    └ <yolox.data.data_prefetcher.DataPrefetcher object at 0xfffea80917f0>

  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 633, in __next__
    data = self._next_data()
           │    └ <function _MultiProcessingDataLoaderIter._next_data at 0xffff240741f0>
           └ <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0xfffea8091d30>
  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1331, in _next_data
    idx, data = self._get_data()
                │    └ <function _MultiProcessingDataLoaderIter._get_data at 0xffff24074160>
                └ <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0xfffea8091d30>
  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1287, in _get_data
    success, data = self._try_get_data()
    │               │    └ <function _MultiProcessingDataLoaderIter._try_get_data at 0xffff240740d0>
    │               └ <torch.utils.data.dataloader._MultiProcessingDataLoaderIter object at 0xfffea8091d30>
    └ False
  File "/home/daniel/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1148, in _try_get_data
    raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e
                                                                                  └ '79134'

RuntimeError: DataLoader worker (pid(s) 79134) exited unexpectedly

[Eenchanted]

I've encountered the same error message. The program suddenly terminates halfway through its execution. I'm wondering if you've managed to resolve it? If so, could you share how you fixed it?

[lida2003]

@Eenchanted The repo seems no longer maintained. We have solved some issue, but not this one on JP5.1.4 and we are trying on JP6.2.

https://github.com/SnapDragonfly/ByteTrack FYI