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

Signed-off-by: 苏政渊 <suzhengyuan@moonshot.cn>
Co-authored-by: 苏政渊 <suzhengyuan@moonshot.cn>

Author: timzsu

vllm/attention/backends/flashinfer.py

@@ -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)
@@ -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:
@@ -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] = []