in timm/data/readers/reader_wds.py [0:0]
def _parse_split_info(split: str, info: Dict):
def _info_convert(dict_info):
return SplitInfo(
num_samples=dict_info['num_samples'],
filenames=tuple(dict_info['filenames']),
shard_lengths=tuple(dict_info['shard_lengths']),
alt_label=dict_info.get('alt_label', ''),
name=dict_info['name'],
)
if 'tar' in split or '..' in split:
# split in WDS string braceexpand format, sample count can be included with a | separator
# ex: `dataset-split-{0000..9999}.tar|100000` for 9999 shards, covering 100,000 samples
split = split.split('|')
num_samples = 0
split_name = ''
if len(split) > 1:
num_samples = int(split[1])
split = split[0]
if '::' not in split:
split_parts = split.split('-', 3)
split_idx = len(split_parts) - 1
if split_idx and 'splits' in info and split_parts[split_idx] in info['splits']:
split_name = split_parts[split_idx]
split_filenames = expand_urls(split)
if split_name:
split_info = info['splits'][split_name]
if not num_samples:
_fc = {f: c for f, c in zip(split_info['filenames'], split_info['shard_lengths'])}
num_samples = sum(_fc[f] for f in split_filenames)
split_info['filenames'] = tuple(_fc.keys())
split_info['shard_lengths'] = tuple(_fc.values())
split_info['num_samples'] = num_samples
split_info = _info_convert(split_info)
else:
split_info = SplitInfo(
name=split_name,
num_samples=num_samples,
filenames=split_filenames,
)
else:
if 'splits' not in info or split not in info['splits']:
raise RuntimeError(f"split {split} not found in info ({info.get('splits', {}).keys()})")
split = split
split_info = info['splits'][split]
split_info = _info_convert(split_info)
return split_info