Training Error

2022-03-29 14:54:37 | INFO | apex.amp.frontend:356 - patch_torch_functions : True
2022-03-29 14:54:37 | INFO | apex.amp.frontend:356 - keep_batchnorm_fp32 : None
2022-03-29 14:54:37 | INFO | apex.amp.frontend:356 - master_weights : None
2022-03-29 14:54:37 | INFO | apex.amp.frontend:356 - loss_scale : dynamic
2022-03-29 14:54:37 | INFO | yolox.core.trainer:297 - loading checkpoint for fine tuning
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - Shape of head.cls_preds.0.weight in checkpoint is torch.Size([80, 128, 1, 1]), while shape of head.cls_preds.0.weight in model is torch.Size([3, 128, 1, 1]).
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - 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([3]).
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - Shape of head.cls_preds.1.weight in checkpoint is torch.Size([80, 128, 1, 1]), while shape of head.cls_preds.1.weight in model is torch.Size([3, 128, 1, 1]).
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - 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([3]).
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - Shape of head.cls_preds.2.weight in checkpoint is torch.Size([80, 128, 1, 1]), while shape of head.cls_preds.2.weight in model is torch.Size([3, 128, 1, 1]).
2022-03-29 14:54:37 | WARNING | yolox.utils.checkpoint:27 - 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([3]).
2022-03-29 14:54:37 | ERROR | yolox.core.launch:90 - An error has been caught in function 'launch', process 'MainProcess' (1302), thread 'MainThread' (140426330253184):
Traceback (most recent call last):

File "tools/train.py", line 125, in
args=(exp, args),
│ └ Namespace(batch_size=16, ckpt='/content/yolox_s.pth', devices=1, dist_backend='nccl', dist_url=None, exp_file='exps/example/y...
└ ╒══════════════════╤═════════════════════════════════════════════════════════════════════════════════════════════════════════...

File "/content/apex/YOLOX/yolox/core/launch.py", line 90, in launch
main_func(*args)
│ └ (╒══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
└ <function main at 0x7fb78b5c3170>

File "tools/train.py", line 104, in main
trainer.train()
│ └ <function Trainer.train at 0x7fb68a786c20>
└ <yolox.core.trainer.Trainer object at 0x7fb689056dd0>

File "/content/apex/YOLOX/yolox/core/trainer.py", line 69, in train
self.before_train()
│ └ <function Trainer.before_train at 0x7fb684eba200>
└ <yolox.core.trainer.Trainer object at 0x7fb689056dd0>

File "/content/apex/YOLOX/yolox/core/trainer.py", line 150, in before_train
no_aug=self.no_aug,
│ └ False
└ <yolox.core.trainer.Trainer object at 0x7fb689056dd0>

File "exps/example/yolox_voc/yolox_voc_s.py", line 36, in get_data_loader
max_labels=50,

File "/content/apex/YOLOX/yolox/data/datasets/voc.py", line 115, in init
os.path.join(rootpath, "ImageSets", "Main", name + ".txt")
│ │ │ │ └ 'trainval'
│ │ │ └ '/content/apex/YOLOX/datasets/VOCdevkit/VOC2007'
│ │ └ <function join at 0x7fb78b6647a0>
│ └ <module 'posixpath' from '/usr/lib/python3.7/posixpath.py'>
└ <module 'os' from '/usr/lib/python3.7/os.py'>

FileNotFoundError: [Errno 2] No such file or directory: '/content/apex/YOLOX/datasets/VOCdevkit/VOC2007/ImageSets/Main/trainval.txt'

Start with exps/example/yolox_voc/yolox_voc_s.py and yolox/data/datasets/voc.py, following how the VOC dataset root and split name are passed to the loader. Check the expected datasets/VOCdevkit/VOC2007/ImageSets/Main/trainval.txt path and reproduce the training command. Done means training proceeds past dataset initialization without the reported FileNotFoundError.