Merge pull request #207 from DestineG/fix-prefill-index-out-of-range

fix(scheduler): recalculate num_tokens after allocate to prevent IndexError at model_runner:155
This commit is contained in:
Xingkai Yu
2026-04-25 18:12:43 +08:00
committed by GitHub
+16 -4
View File
@@ -28,14 +28,25 @@ class Scheduler:
# prefill
while self.waiting and len(scheduled_seqs) < self.max_num_seqs:
seq = self.waiting[0]
num_tokens = max(seq.num_tokens - seq.num_cached_tokens, 1)
remaining = self.max_num_batched_tokens - num_batched_tokens
if remaining == 0 or (not seq.block_table and not self.block_manager.can_allocate(seq)): # no budget
break
if remaining < num_tokens and scheduled_seqs: # only allow chunked prefill for the first seq
if remaining == 0 or (not seq.block_table and not self.block_manager.can_allocate(seq)):
break
if not seq.block_table:
self.block_manager.allocate(seq)
# Re-calculate num_tokens after allocate(), as prefix caching may update
# seq.num_cached_tokens during the allocation process.
#
# Using an outdated num_cached_tokens would overestimate num_scheduled_tokens,
# leading to an inflated 'end' and 'end_block' in prepare_prefill (model_runner.py).
# This results in an 'index out of range' at line 155 when accessing
# seq.block_table[i] beyond its actual physical allocation.
num_tokens = max(seq.num_tokens - seq.num_cached_tokens, 1)
if remaining < num_tokens and scheduled_seqs: # only allow chunked prefill for the first seq
break
seq.num_scheduled_tokens = min(num_tokens, remaining)
if seq.num_scheduled_tokens == num_tokens:
seq.status = SequenceStatus.RUNNING
@@ -43,6 +54,7 @@ class Scheduler:
self.running.append(seq)
scheduled_seqs.append(seq)
num_batched_tokens += seq.num_scheduled_tokens
if scheduled_seqs:
return scheduled_seqs, True