@tduncan / Nvidia-Optimization-Stack-VLLM Mirror · read-only / commits / 2ae910ed88
Fork 0

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 3, 06:45 UTC

[Perf] Avoid forward scan for async output placeholders (#42938)

Izik Golan committed May 20, 2026 at 06:16 UTC 2ae910ed88121d7c3acdcb9bab14cd968257b6e6
1 file changed +6 -1
vllm/v1/worker/gpu_input_batch.py
+6 -1
@@ -1050,7 +1050,12 @@ class InputBatch:
1050 # output placeholders (tokens can be discarded after kv-load
1051 # failure) or a larger number (async spec decode adds optimistic
1052 # placeholders that may exceed the actual acceptance count).
1053 - first_placeholder = req_output_token_ids.index(-1)
1053 + first_placeholder = len(req_output_token_ids)
1054 + while (
1055 + first_placeholder > 0
1056 + and req_output_token_ids[first_placeholder - 1] == -1
1057 + ):
1058 + first_placeholder -= 1
1059 num_placeholders = len(req_output_token_ids) - first_placeholder
1060 num_to_replace = min(num_sampled_ids, num_placeholders)
1061 del new_ids[num_to_replace:]