init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>

vllm_ascend/quantization/methods/registry.py

@@ -0,0 +1,62 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from typing import Any
+
+# Registry: maps (quant_type, layer_type) -> SchemeClass
+_SCHEME_REGISTRY: dict[tuple[str, str], type[Any]] = {}
+
+
+def register_scheme(quant_type: str, layer_type: str):
+    """Decorator to register a quantization scheme.
+
+    Args:
+        quant_type: Quantization type (e.g., "W8A8", "W8A8_DYNAMIC").
+        layer_type: Layer type (e.g., "linear", "moe").
+
+    Returns:
+        Decorator function that registers the class.
+
+    Example:
+        @register_scheme("W8A8_DYNAMIC", "linear")
+        class W8A8DynamicLinearScheme(AscendLinearScheme):
+            ...
+    """
+
+    def decorator(cls: type[Any]) -> type[Any]:
+        key = (quant_type, layer_type)
+        if key in _SCHEME_REGISTRY:
+            raise ValueError(
+                f"Scheme already registered for {quant_type}/{layer_type}: {_SCHEME_REGISTRY[key].__name__}"
+            )
+        _SCHEME_REGISTRY[key] = cls
+        return cls
+
+    return decorator
+
+
+def get_scheme_class(quant_type: str, layer_type: str) -> type[Any] | None:
+    """Get scheme class for given quant_type and layer_type.
+
+    Args:
+        quant_type: Quantization type (e.g., "W8A8", "W8A8_DYNAMIC").
+        layer_type: Layer type (e.g., "linear", "moe").
+
+    Returns:
+        The registered scheme class, or None if not found.
+    """
+    return _SCHEME_REGISTRY.get((quant_type, layer_type))