【NewFeature】support rl mock fd

fastdeploy/model_executor/model_loader/default_loader.py

@@ -94,3 +94,31 @@ def load_model(self, fd_config: FDConfig) -> nn.Layer:
         # TODO(gongshaotian): Now, only support safetensor
         self.load_weights(model, fd_config, architectures)
         return model
+
+    def load_rl_model(self, fd_config: FDConfig) -> nn.Layer:
+        """use for rl model load"""
+        # (TODO:gaoziyuan) optimze
+        original_architectures = fd_config.model_config.architectures[0]
+        logger.info(f"Starting to load model {original_architectures}")
+
+        import fastdeploy.rl  # noqa
+
+        if fd_config.speculative_config.model_type != "mtp":
+            model_architectures = original_architectures.replace("Ernie5ForCausalLM", "Ernie5MoeForCausalLM")
+        else:
+            model_architectures = original_architectures.replace("Ernie5ForCausalLM", "Ernie5MTPForCausalLM")
+
+        model_architectures += "RL"
+        context = paddle.LazyGuard()
+
+        with context:
+            model_cls = ModelRegistry.get_class(model_architectures)
+            model = model_cls(fd_config)
+
+        model.eval()
+
+        if fd_config.load_config.load_strategy == "normal":
+            # normal strategy need load weight and architectures need without "RL"
+            self.load_weights(model, fd_config, original_architectures)
+        # RL model not need set_state_dict
+        return model

fastdeploy/model_executor/model_loader/default_loader_v1.py

@@ -77,3 +77,31 @@ def load_model(self, fd_config: FDConfig) -> nn.Layer:
             return model
         self.load_weights(model, fd_config)
         return model
+
+    def load_rl_model(self, fd_config: FDConfig) -> nn.Layer:
+        """use for rl model load"""
+        # (TODO:gaoziyuan) optimze
+        original_architectures = fd_config.model_config.architectures[0]
+        logger.info(f"Starting to load model {original_architectures}")
+
+        import fastdeploy.rl  # noqa
+
+        if fd_config.speculative_config.model_type != "mtp":
+            model_architectures = original_architectures.replace("Ernie5ForCausalLM", "Ernie5MoeForCausalLM")
+        else:
+            model_architectures = original_architectures.replace("Ernie5ForCausalLM", "Ernie5MTPForCausalLM")
+
+        model_architectures += "RL"
+        context = paddle.LazyGuard()
+
+        with context:
+            model_cls = ModelRegistry.get_class(model_architectures)
+            model = model_cls(fd_config)
+
+        model.eval()
+
+        if fd_config.load_config.load_strategy == "normal":
+            # normal strategy need load weight and architectures need without "RL"
+            self.load_weights(model, fd_config, original_architectures)
+        # RL model not need set_state_dict
+        return model

fastdeploy/rl/dynamic_weight_manager.py

@@ -84,6 +84,7 @@ def update_parameters(self, pid: int = 0) -> None:
         strategy_handlers = {
             "ipc_snapshot": self._update_ipc_snapshot,
             "ipc": self._update_ipc,
+            "normal": self._normal_load_weight,
         }
 
         if handler := strategy_handlers.get(self.load_config.load_strategy):
@@ -97,6 +98,14 @@ def update_parameters(self, pid: int = 0) -> None:
         # step 5: recapture CUDAGraph
         # step 6: update weight status signal
 
+    def _normal_load_weight(self):
+        """use for RL mock"""
+        from fastdeploy.model_executor.model_loader import get_model_loader
+
+        model_loader = get_model_loader(load_config=self.fd_config.load_config)
+        state_dict = model_loader.load_rl_model(fd_config=self.fd_config).state_dict()
+        self._update_model_from_state(state_dict, "raw")
+
     def _update_ipc_snapshot(self):
         """Update using IPC snapshot strategy for elastic recovery."""
         model_path = os.path.join(