Sync v2.0 version of code to github repo

fastdeploy/spec_decode/base.py

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+"""
+# Copyright (c) 2025  PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 abc import ABC, abstractmethod
+from copy import deepcopy
+from typing import Any
+
+from fastdeploy.config import FDConfig
+from fastdeploy.utils import spec_logger
+
+
+class Proposer(ABC):
+    """
+    Proposer Base Class.
+
+    Used to provide an extensible interface for draft tokens within
+    the speculative decoding framework
+    """
+
+    def __init__(self, cfg: FDConfig):
+        """
+        Init Speculative proposer
+        """
+        self.cfg = deepcopy(cfg)
+        self.parallel_config = self.cfg.parallel_config
+        self.model_config = self.cfg.model_config
+        self.speculative_config = self.cfg.speculative_config
+        self.kv_cache_config = self.cfg.kv_cache_config
+        self.quant_config = self.cfg.quant_config
+
+        self.max_num_seqs = self.parallel_config.max_num_seqs
+        self.max_model_len = self.parallel_config.max_model_len
+        self.speculative_method = self.speculative_config.method
+        self.max_draft_token_num = self.speculative_config.num_speculative_tokens
+
+        spec_logger.info(f"Speculate config: {self.speculative_config}")
+
+    def run(self, *args, **kwargs) -> Any:
+        """
+        Unified entry point for all proposer types.
+        Dispatches to subclass-specific logic via `_run_impl`.
+        """
+        return self._run_impl(*args, **kwargs)
+
+    @abstractmethod
+    def _run_impl(self, *args, **kwargs) -> Any:
+        """
+        Implemention for different method
+        """
+        raise NotImplementedError