MoveVllmConfig from config/__init__.py to config/vllm.py

vllm/attention/layer.py

@@ -20,8 +20,7 @@
 from vllm.logger import init_logger
 from vllm.model_executor.layers.attention_layer_base import AttentionLayerBase
 from vllm.model_executor.layers.linear import UnquantizedLinearMethod
-from vllm.model_executor.layers.quantization.base_config import (
-    QuantizationConfig)
+from vllm.model_executor.layers.quantization import QuantizationConfig
 from vllm.model_executor.layers.quantization.input_quant_fp8 import QuantFP8
 from vllm.model_executor.layers.quantization.kv_cache import BaseKVCacheMethod
 from vllm.model_executor.layers.quantization.utils.quant_utils import (

vllm/attention/layers/chunked_local_attention.py

@@ -9,7 +9,8 @@
 from vllm.attention.backends.abstract import (AttentionBackend,
                                               AttentionMetadata)
 from vllm.attention.selector import get_attn_backend
-from vllm.config import CacheConfig, QuantizationConfig
+from vllm.config import CacheConfig
+from vllm.model_executor.layers.quantization import QuantizationConfig
 from vllm.v1.attention.backends.utils import (
     CommonAttentionMetadata, make_local_attention_virtual_batches,
     subclass_attention_backend)

vllm/config/utils.py

@@ -1,21 +1,21 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-
+"""Utility functions for vLLM config dataclasses."""
 import ast
 import inspect
 import textwrap
-from dataclasses import MISSING, Field, field, fields, is_dataclass
-from typing import TYPE_CHECKING, Any, TypeVar
+from dataclasses import MISSING, Field, field, fields, is_dataclass, replace
+from typing import TYPE_CHECKING, Any, Protocol, TypeVar
 
 import regex as re
+from typing_extensions import runtime_checkable
 
 if TYPE_CHECKING:
     from _typeshed import DataclassInstance
-
-    ConfigType = type[DataclassInstance]
 else:
-    ConfigType = type
+    DataclassInstance = Any
 
+ConfigType = type[DataclassInstance]
 ConfigT = TypeVar("ConfigT", bound=ConfigType)
 
 
@@ -143,3 +143,33 @@ def pairwise(iterable):
 
 def is_init_field(cls: ConfigType, name: str) -> bool:
     return next(f for f in fields(cls) if f.name == name).init
+
+
+@runtime_checkable
+class SupportsHash(Protocol):
+
+    def compute_hash(self) -> str:
+        ...
+
+
+class SupportsMetricsInfo(Protocol):
+
+    def metrics_info(self) -> dict[str, str]:
+        ...
+
+
+def update_config(config: ConfigT, overrides: dict[str, Any]) -> ConfigT:
+    processed_overrides = {}
+    for field_name, value in overrides.items():
+        assert hasattr(
+            config, field_name), f"{type(config)} has no field `{field_name}`"
+        current_value = getattr(config, field_name)
+        if is_dataclass(current_value) and not is_dataclass(value):
+            assert isinstance(value, dict), (
+                f"Overrides to {type(config)}.{field_name} must be a dict"
+                f"  or {type(current_value)}, but got {type(value)}")
+            value = update_config(
+                current_value,  # type: ignore[type-var]
+                value)
+        processed_overrides[field_name] = value
+    return replace(config, **processed_overrides)