[Chore] Separate out vllm.utils.func (#26904)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/model_executor/layers/fused_moe/deep_gemm_moe.py

@@ -27,8 +27,9 @@ from vllm.model_executor.layers.fused_moe.utils import _resize_cache
 from vllm.model_executor.layers.quantization.utils.fp8_utils import (
     per_token_group_quant_fp8,
 )
-from vllm.utils import has_deep_gemm, run_once
+from vllm.utils import has_deep_gemm
 from vllm.utils.deep_gemm import m_grouped_fp8_gemm_nt_contiguous
+from vllm.utils.func import run_once
 
 logger = init_logger(__name__)
 

vllm/model_executor/models/interfaces.py

@@ -24,7 +24,7 @@ from vllm.inputs import TokensPrompt
 from vllm.inputs.data import PromptType
 from vllm.logger import init_logger
 from vllm.model_executor.layers.quantization import QuantizationConfig
-from vllm.utils import supports_kw
+from vllm.utils.func import supports_kw
 
 from .interfaces_base import VllmModel, is_pooling_model
 

vllm/model_executor/models/interfaces_base.py

@@ -15,7 +15,7 @@ import torch.nn as nn
 from typing_extensions import TypeIs, TypeVar
 
 from vllm.logger import init_logger
-from vllm.utils import supports_kw
+from vllm.utils.func import supports_kw
 
 if TYPE_CHECKING:
     from vllm.config import VllmConfig