[Core] Cherry pick from 0.7.1 to keep the main code newest (#127)

Cherry pick from 0.7.1 to keep the main code newest

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

vllm_ascend/quantization/quantizer.py

@@ -0,0 +1,51 @@
+#
+# 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.
+#
+
+import importlib
+from typing import Any, Dict, List
+
+CUSTOMIZED_QUANTIZER_TYPE: List[str] = []
+
+
+class AscendQuantizer:
+    """An interface to different quantization implementations for ascend hardwares."""
+
+    @classmethod
+    def get_quantizer(cls, quant_config: Dict[str, Any]):
+        # TODO: Need a param to choose quantization algorithms.
+        quantization_algorithm = ''
+
+        if quantization_algorithm in CUSTOMIZED_QUANTIZER_TYPE:
+            return
+
+        try:
+            module = importlib.import_module("mindie_turbo")
+            MindIETurboQuantizer = module.MindIETurboQuantizer
+        except Exception:
+            raise NotImplementedError(
+                "There is no available ascend quantizer.")
+
+        return MindIETurboQuantizer.get_quantizer(quant_config)
+
+    def build_linear_method(self):
+        raise NotImplementedError
+
+    def build_moe_method(self):
+        raise NotImplementedError
+
+    def build_attention_method(self):
+        raise NotImplementedError