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Small fix to prepare_dataloader #178

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Small fix to prepare_dataloader #178

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20 changes: 16 additions & 4 deletions src/slicegpt/data_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -150,13 +150,25 @@ def prepare_dataloader(
start_idx = torch.randint(0, len(indices), (1,)).item()
idx = start_idx
tokens = []
while len(tokens) < max_seqlen and idx < len(indices):
while len(tokens) < max_seqlen:
item = data_list[indices[idx]]
sep = "" if not tokens else "\n\n"
tokens += tokenizer.tokenize(sep + item)
idx += 1

indices = indices[:start_idx] + indices[idx:] # remove the used indices
idx = (idx + 1) % len(indices)
if idx == start_idx:
# In this case, idx has wrapped around and caught up with start_idx.
# There is no more data left to continue.
break

if idx <= start_idx:
# We wrapped around and used the indices in the rage
# [start_idx:end] and [0:idx)
# Remaining indices are:
indices = indices[idx:start_idx]
else:
# We used the indices in the range [start_idx:idx)
# Remaining indices are:
indices = indices[:start_idx] + indices[idx:]

if len(tokens) >= max_seqlen:
tokens = tokens[:max_seqlen] # truncate to max_seqlen
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