执行decode.sh解析为空

[lhhchanger]

2024-11-13 09:05:30 | INFO | main | import user_dir: /data/new0530/TeleSpeech-ASR/TeleSpeech-ASR/data2vec_dialect
/data/new0530/anaconda3/envs/TeleSpeech-ASR/lib/python3.10/site-packages/timm/models/layers/init.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
[2024-11-13 09:05:32,696][main][INFO] - /data/new0530/TeleSpeech-ASR/model/finetune_large_kespeech.pt
/data/new0530/TeleSpeech-ASR/TeleSpeech-ASR/fairseq/fairseq/checkpoint_utils.py:340: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
state = torch.load(f, map_location=torch.device("cpu"))
[2024-11-13 09:05:39,157][data2vec_dialect.models.data2vec2][INFO] - making target model
/data/new0530/TeleSpeech-ASR/TeleSpeech-ASR/data2vec_dialect/models/data2vec2.py:360: FutureWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/main/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.
state = super().state_dict(destination, prefix, keep_vars)
[2024-11-13 09:05:45,513][data2vec_dialect.data.spec_dataset][INFO] - loaded 1, skipped 0 samples
[2024-11-13 09:05:45,516][fairseq.tasks.fairseq_task][INFO] - can_reuse_epoch_itr = True
[2024-11-13 09:05:45,516][fairseq.tasks.fairseq_task][INFO] - reuse_dataloader = True
[2024-11-13 09:05:45,516][fairseq.tasks.fairseq_task][INFO] - rebuild_batches = True
[2024-11-13 09:05:45,517][fairseq.tasks.fairseq_task][INFO] - batches will be rebuilt for each epoch
[2024-11-13 09:05:45,517][fairseq.tasks.fairseq_task][INFO] - creating new batches for epoch 1
0%| | 0/1 [00:00<?, ?it/s][2024-11-13 09:06:32,285][main][INFO] - HYPO:
[2024-11-13 09:06:32,286][main][INFO] - REF: w0530TSASR16w
[2024-11-13 09:06:32,286][main][INFO] - ---------------------
[2024-11-13 09:06:32,288][main][INFO] - Processed 1 sentences (0 tokens) in 46.4s 0.02 sentences per second, 0.02 tokens per second)
[2024-11-13 09:06:32,289][main][WARNING] - Merging WER requires CUDA.
[2024-11-13 09:06:32,307][main][INFO] - Word error rate: 100.0000