cvlab-columbia / globetrotter Goto Github PK

2024-04-19 15:11:30 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX
Namespace(alpha_xm=False, augment_image=True, batch_size=128, checkpoint_dir='checkpoints', checkpoint_path='checkpoints/train_sigurdsson', checkpoint_path_load_from='checkpoints/train_sigurdsson', config_arch='config', config_data='all-lang_test-zh-en', dataset_info_path='dataset_info', dataset_path='dataset', debug=False, evaluate=False, fp16=True, image_size=224, lambda_lm_loss=0.0, lambda_orthogonality_loss=1.0, lambda_visual_loss=0.0, lambda_xlang_loss=0.0, lambda_xm_loss=1.0, language_split='training', learning_rate=0.001, local_rank=0, max_txt_seq_len=50, momentum_bn=0.1, name='train_sigurdsson', not_use_images=False, num_epochs=100, opt_level='O1', output_attentions=False, p_clobber_other_txt=0.0, p_mask=0.0, pretrained_cnn=False, print_freq=1, prob_predict_token=0.0, results_dir='results', results_path='results/train_sigurdsson', resume=True, resume_but_restart=False, resume_epoch=-1, resume_latest=False, resume_name='train_sigurdsson', runs_dir='runs', seed=0, sigurdsson=True, test=True, test_name='extract_features', test_options='val', tokenizer_path=None, tokenizer_type='huggingface', two_heads_modality=False, workers=20)
2024-04-19 15:11:31 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 0
2024-04-19 15:11:31 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes.
Preparing dataset
dataset_info/tokenizer_all-lang_test-zh-en_30000-vocab.json
Preparing model
Traceback (most recent call last):
  File "main.py", line 262, in <module>
    main()
  File "main.py", line 216, in main
    model = models.SigurdssonModel(config_from, list_lang, fn_cfg=args.config_arch, pretrained_cnn=args.pretrained_cnn,
  File "/media/visionx/monica/newproject/globetrotter/models.py", line 265, in __init__
    cfg = BertConfig.from_json_file(os.path.join(path, f'{fn_cfg}.json'))
  File "/home/visionx/anaconda3/envs/globetrotter/lib/python3.8/site-packages/transformers/configuration_utils.py", line 436, in from_json_file
    config_dict = cls._dict_from_json_file(json_file)
  File "/home/visionx/anaconda3/envs/globetrotter/lib/python3.8/site-packages/transformers/configuration_utils.py", line 441, in _dict_from_json_file
    with open(json_file, "r", encoding="utf-8") as reader:
FileNotFoundError: [Errno 2] No such file or directory: 'checkpoints/train_sigurdsson/config.json'

> Traceback (most recent call last):
>   File "main.py", line 262, in <module>
>     main()
>   File "main.py", line 216, in main
>     model = models.SigurdssonModel(config_from, list_lang, fn_cfg=args.config_arch, pretrained_cnn=args.pretrained_cnn,
>   File "/media/visionx/monica/newproject/globetrotter/models.py", line 273, in __init__
>     {f'lang_{i}': nn.Embedding(cfg.vocab_size, cfg.sigurdsson_hid_size, padding_idx=0)
>   File "/media/visionx/monica/newproject/globetrotter/models.py", line 273, in <dictcomp>
>     {f'lang_{i}': nn.Embedding(cfg.vocab_size, cfg.sigurdsson_hid_size, padding_idx=0)
> AttributeError: 'BertConfig' object has no attribute 'sigurdsson_hid_size'

I have changed some versions like this :

tokenizers               0.7.0
torch                    1.13.0
torchaudio               0.13.0
torchvision              0.14.0
tqdm                     4.66.2
transformers             2.10.0