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[Perf] Optimize Preparing Inputs for GPU Model Runner #16484

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Merged
merged 3 commits into from
Apr 12, 2025
Merged

[Perf] Optimize Preparing Inputs for GPU Model Runner #16484

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7018c25
Optimize prepare inputs for GPU model runner
SnowCharmQ Apr 11, 2025
d150bd3
Format code
SnowCharmQ Apr 11, 2025
ef6fdea
Improve readability
SnowCharmQ Apr 11, 2025
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13 changes: 5 additions & 8 deletions vllm/v1/worker/gpu_model_runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -484,14 +484,11 @@ def _prepare_inputs(
self.input_batch.block_table.commit(num_reqs)

# Get the number of scheduled tokens for each request.
# TODO: The Python loop can be slow. Optimize.
num_scheduled_tokens = np.empty(num_reqs, dtype=np.int32)
max_num_scheduled_tokens = 0
for i, req_id in enumerate(self.input_batch.req_ids):
num_tokens = scheduler_output.num_scheduled_tokens[req_id]
num_scheduled_tokens[i] = num_tokens
max_num_scheduled_tokens = max(max_num_scheduled_tokens,
num_tokens)
req_ids = self.input_batch.req_ids
tokens = list(
map(scheduler_output.num_scheduled_tokens.__getitem__, req_ids))
num_scheduled_tokens = np.array(tokens, dtype=np.int32)
max_num_scheduled_tokens = max(tokens)

# Get request indices.
# E.g., [2, 5, 3] -> [0, 0, 1, 1, 1, 1, 1, 2, 2, 2]
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