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[MRV2] Skip hidden states allocation for PW CUDA graphs #37818

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Merged
WoosukKwon merged 1 commit into from
Mar 22, 2026
Merged

[MRV2] Skip hidden states allocation for PW CUDA graphs #37818

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7 changes: 7 additions & 0 deletions vllm/v1/worker/gpu/cudagraph_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -263,6 +263,7 @@ def __init__(
decode_query_len: int,
):
super().__init__(vllm_config, device, cudagraph_mode, decode_query_len)
# Used for FULL CUDA graphs. PW CUDA graphs do not use these.
self.hidden_states: torch.Tensor | None = None
self.aux_hidden_states: list[torch.Tensor] = []
self.use_aux_hidden_state_outputs = False
Expand Down Expand Up @@ -326,6 +327,12 @@ def forward_fn(cg_mode: CUDAGraphMode) -> None:
**model_state.prepare_dummy_inputs(num_reqs, num_tokens),
}
model_output = model(**model_inputs)

if cg_mode == CUDAGraphMode.PIECEWISE:
# PW CUDA graph internally handles the model outputs.
# No need to keep track of the hidden states.
return None

if self.use_aux_hidden_state_outputs:
hidden_states, aux_hidden_states = model_output
else:
Expand Down
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