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[Model Runner V2] Minor cleanup for build_attn_metadata (#29576)

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Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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Woosuk Kwon 2025-11-26 20:10:12 -08:00 committed by GitHub
parent 0aeb698b77
commit ee80aee1ca
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3 changed files with 13 additions and 8 deletions
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8
vllm/v1/worker/gpu/attn_utils.py
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@ -18,7 +18,6 @@ from vllm.v1.kv_cache_interface import (
KVCacheConfig,
KVCacheSpec,
)
from vllm.v1.utils import CpuGpuBuffer
from vllm.v1.worker.utils import bind_kv_cache
@ -145,7 +144,8 @@ def build_attn_metadata(
attn_metadata_builders: list[AttentionMetadataBuilder],
num_reqs: int,
num_tokens: int,
query_start_loc: CpuGpuBuffer,
query_start_loc_gpu: torch.Tensor,
query_start_loc_cpu: torch.Tensor,
seq_lens: torch.Tensor,
seq_lens_np: np.ndarray,
num_computed_tokens_cpu: torch.Tensor | None,
@ -153,9 +153,7 @@ def build_attn_metadata(
slot_mappings: torch.Tensor,
kv_cache_config: KVCacheConfig,
) -> dict[str, Any]:
query_start_loc_gpu = query_start_loc.gpu[: num_reqs + 1]
query_start_loc_cpu = query_start_loc.cpu[: num_reqs + 1]
max_query_len = int(query_start_loc.np[: num_reqs + 1].max())
max_query_len = int(query_start_loc_cpu.max())
seq_lens = seq_lens[:num_reqs]
seq_lens_cpu = torch.from_numpy(seq_lens_np)
max_seq_len = int(seq_lens_np.max())

3
vllm/v1/worker/gpu/cudagraph_utils.py
View File

@ -120,7 +120,8 @@ class CudaGraphManager:
attn_metadata_builders=attn_metadata_builders,
num_reqs=batch_size,
num_tokens=batch_size,
query_start_loc=input_buffers.query_start_loc,
query_start_loc_gpu=input_buffers.query_start_loc.gpu[: batch_size + 1],
query_start_loc_cpu=input_buffers.query_start_loc.cpu[: batch_size + 1],
seq_lens=input_buffers.seq_lens,
seq_lens_np=np.full(batch_size, self.max_model_len, dtype=np.int32),
num_computed_tokens_cpu=None, # FIXME

10
vllm/v1/worker/gpu/model_runner.py
View File

@ -226,11 +226,15 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
num_computed_tokens = torch.zeros(
input_batch.num_reqs, dtype=torch.int32, device=self.device
)
query_start_loc = self.input_buffers.query_start_loc
query_start_loc_gpu = query_start_loc.gpu[: input_batch.num_reqs + 1]
query_start_loc_cpu = query_start_loc.cpu[: input_batch.num_reqs + 1]
attn_metadata = build_attn_metadata(
attn_metadata_builders=self.attn_metadata_builders,
num_reqs=input_batch.num_reqs,
num_tokens=input_batch.num_tokens,
query_start_loc=self.input_buffers.query_start_loc,
query_start_loc_gpu=query_start_loc_gpu,
query_start_loc_cpu=query_start_loc_cpu,
seq_lens=self.input_buffers.seq_lens,
seq_lens_np=input_batch.seq_lens_np,
num_computed_tokens_cpu=num_computed_tokens,
@ -515,6 +519,7 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
self.input_buffers.query_start_loc.np[num_reqs + 1 :] = num_tokens
self.input_buffers.query_start_loc.copy_to_gpu()
query_start_loc_gpu = self.input_buffers.query_start_loc.gpu[: num_reqs + 1]
query_start_loc_cpu = self.input_buffers.query_start_loc.cpu[: num_reqs + 1]
query_start_loc_np = self.input_buffers.query_start_loc.np[: num_reqs + 1]
# Copy prefill tokens from CPU to GPU.
@ -572,7 +577,8 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
attn_metadata_builders=self.attn_metadata_builders,
num_reqs=num_reqs,
num_tokens=num_tokens,
query_start_loc=self.input_buffers.query_start_loc,
query_start_loc_gpu=query_start_loc_gpu,
query_start_loc_cpu=query_start_loc_cpu,
seq_lens=self.input_buffers.seq_lens,
seq_lens_np=seq_lens_np,
num_computed_tokens_cpu=num_computed_tokens,