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[BugFix] Pass in correct VLLM config in FlashInfer backend (#13207) #16973

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Merged
merged 1 commit into from
Apr 22, 2025
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[BugFix] Pass in correct VLLM config in FlashInfer backend (#13207) #16973

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6 changes: 3 additions & 3 deletions vllm/attention/backends/flashinfer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@
is_block_tables_empty)
from vllm.attention.layer import Attention
from vllm.attention.ops.paged_attn import PagedAttention
from vllm.config import VllmConfig, get_current_vllm_config
from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.utils import (async_tensor_h2d, get_kv_cache_torch_dtype,
make_tensor_with_pad)
Expand Down Expand Up @@ -187,7 +187,7 @@ def __init__(self, runner):
# Global hyperparameters shared by all attention layers
self.global_hyperparameters: Optional[PerLayerParameters] = None

self.vllm_config = get_current_vllm_config()
self.vllm_config = self.runner.vllm_config

def _get_workspace_buffer(self):
if self._workspace_buffer is None:
Expand Down Expand Up @@ -613,7 +613,7 @@ def __init__(self, input_builder: "ModelInputForGPUBuilder"):
# Global hyperparameters shared by all attention layers
self.global_hyperparameters: Optional[PerLayerParameters] = None

self.vllm_config = get_current_vllm_config()
self.vllm_config = self.runner.vllm_config

def prepare(self):
self.slot_mapping: List[int] = []
Expand Down