执行decode.sh报错

[Mhw-git]

1. 报错信息如下：

root@autodl-container-138c41aa1e-0a2800c2:~/autodl-tmp/TeleSpeech-ASR/TeleSpeech-ASR/data2vec_dialect/run_scripts# bash decode.sh
Traceback (most recent call last):
File "../infer.py", line 22, in
from examples.speech_recognition.new.decoders.decoder_config import (
File "/root/autodl-tmp/TeleSpeech-ASR/fairseq/examples/speech_recognition/init.py", line 1, in
from . import criterions, models, tasks # noqa
File "/root/autodl-tmp/TeleSpeech-ASR/fairseq/examples/speech_recognition/criterions/init.py", line 15, in
importlib.import_module(
File "/root/miniconda3/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/root/autodl-tmp/TeleSpeech-ASR/fairseq/examples/speech_recognition/criterions/cross_entropy_acc.py", line 13, in
from fairseq import utils
File "/root/autodl-tmp/TeleSpeech-ASR/fairseq/fairseq/init.py", line 33, in
import fairseq.criterions # noqa
File "/root/autodl-tmp/TeleSpeech-ASR/fairseq/fairseq/criterions/init.py", line 18, in
(
TypeError: cannot unpack non-iterable NoneType object

2. decode.sh文件内容如下
   ../path.sh || exit 1

data=/root/autodl-tmp/TeleSpeech-ASR/audio_files/text
model=/root/autodl-tmp/TeleSpeech-ASR/model/finetune_large_kespeech.pt
result_path=/root/autodl-tmp/TeleSpeech-ASR/result/decode_result
python ../infer.py
--config-dir config
--config-name infer
task=spec_finetuning
task.data=${data}
task.normalize=false
common.user_dir=/path/to/data2vec_dialect
common_eval.path=${model}
common_eval.results_path=${result_path}
common_eval.quiet=false
dataset.gen_subset=/root/autodl-tmp/TeleSpeech-ASR/audio_files/data.csv