During the dataset loading before training , it failed.
But when I put the loading script in a single file like test.py , the tar file can be successfully parsed and load:

`#!/bin/python
import io
import tarfile
import logging
import torchaudio

ifile="data//train_v17/tr/data.list" # tar list including line like this /data/private/data/shard/train_v17/train_v17/tr/shards_000002632.tar
f=open(ifile,'r')
line = f.readline()
j=0
while line:
#stream=tarfile.open("/data/private/data/shard/train_v17/train_v17/tr/shards_000002632.tar",mode="r|")
stream=tarfile.open(line.strip(),mode="r|")
AUDIO_FORMAT_SETS = set(['WAV', 'flac', 'mp3', 'm4a', 'ogg', 'opus', 'wav', 'wma'])
i=0
prev_prefix = None
valid = True
for tarinfo in stream:
if i > 0:
break
name = tarinfo.name
pos = name.rfind('.')
example = {}
print(i, tarinfo)
assert pos > 0
prefix, postfix = name[:pos], name[pos + 1:]
if prev_prefix is not None and prefix != prev_prefix:
example['key'] = prev_prefix
if valid:
print(example['key'])
#yield example
example = {}
valid = True
with stream.extractfile(tarinfo) as file_obj:
print(tarinfo,file_obj,postfix)
try:
if postfix == 'txt':
example['txt'] = file_obj.read().decode('utf8').strip()
print(example['txt'])
elif postfix in AUDIO_FORMAT_SETS:
if 0:
content=file_obj.read()
f=open("tmp.wav",'wb')
f.write(content)
f.close()
waveform, sample_rate = torchaudio.load("tmp.wav")
else:
waveform, sample_rate = torchaudio.load(io.BytesIO(file_obj.read()))
i = i + 1
j = j + 1
print(sample_rate,waveform.shape)
example['wav'] = waveform
example['sample_rate'] = sample_rate
else:
example[postfix] = file_obj.read()
except Exception as ex:
valid = False
logging.warning('error to parse {}'.format(name))
print('fail to parse {}'.format(name))
prev_prefix = prefix
if prev_prefix is not None:
example['key'] = prev_prefix
#yield example
print(example['key'])
line = f.readline()
stream.close()
print(j)
`
it worked , and the torchaudio loaded successfully