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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 07:15 UTC

[BugFix] Fix tpu_model_runner block_id concatenation (#19228)

Signed-off-by: Nick Hill <nhill@redhat.com>

Nick Hill committed Jun 6, 2025 at 16:28 UTC 46ecc579733f13a555ca42da76c1234c586271eb
3 files changed +11 -4
tests/v1/tpu/worker/test_tpu_model_runner.py
+1 -1
@@ -226,7 +226,7 @@ def test_update_states_request_resumed(model_runner):
226 req_id=req_id,
227 resumed_from_preemption=False,
228 new_token_ids=[],
229 - new_block_ids=[],
229 + new_block_ids=[[]],
230 num_computed_tokens=0,
231 )
232
vllm/v1/worker/gpu_model_runner.py
+5 -2
@@ -460,8 +460,11 @@ class GPUModelRunner(LoRAModelRunnerMixin):
460 # Update the block IDs.
461 if not req_data.resumed_from_preemption:
462 # Append the new blocks to the existing block IDs.
463 - for i in range(len(self.kv_cache_config.kv_cache_groups)):
464 - req_state.block_ids[i].extend(req_data.new_block_ids[i])
463 + for block_ids, new_block_ids in zip( # type: ignore[call-overload]
464 + req_state.block_ids,
465 + req_data.new_block_ids,
466 + strict=True):
467 + block_ids.extend(new_block_ids)
468 else:
469 # The request is resumed from preemption.
470 # Replace the existing block IDs with the new ones.
vllm/v1/worker/tpu_model_runner.py
+5 -1
@@ -413,7 +413,11 @@ class TPUModelRunner(LoRAModelRunnerMixin):
413 req_state.num_computed_tokens = req_data.num_computed_tokens
414 if not req_data.resumed_from_preemption:
415 # Append the new blocks to the existing block IDs.
416 - req_state.block_ids.extend(req_data.new_block_ids)
416 + for block_ids, new_block_ids in zip( # type: ignore[call-overload]
417 + req_state.block_ids,
418 + req_data.new_block_ids,
419 + strict=True):
420 + block_ids.extend(new_block_ids)
421 else:
422 # The request is resumed from preemption.
423 # Replace the existing block IDs with the new ones.