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Sync v2.0 version of code to github repo

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Jiang-Jia-Jun
2025-06-29 23:29:37 +00:00
parent d151496038
commit 92c2cfa2e7
597 changed files with 78776 additions and 22905 deletions
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51
fastdeploy/model_executor/model_loader.py
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@@ -19,14 +19,31 @@ from abc import ABC, abstractmethod
import paddle
from paddle import nn
from fastdeploy.config import LLMConfig, LoadConfig, ModelConfig
from fastdeploy.config import FDConfig, LoadConfig, ModelConfig
from fastdeploy.model_executor.models.ernie4_5_moe import \
Ernie4_5_PretrainedModel
from fastdeploy.model_executor.models.ernie4_5_mtp import \
Ernie4_5_MTPPretrainedModel
from fastdeploy.model_executor.models.model_base import ModelRegistry
from fastdeploy.model_executor.models.qwen2 import Qwen2PretrainedModel
from fastdeploy.model_executor.models.qwen3 import Qwen3PretrainedModel
from fastdeploy.model_executor.models.qwen3moe import Qwen3MoePretrainedModel
from fastdeploy.model_executor.models.utils import load_checkpoint
MODEL_CLASSES = {
"Ernie4_5_MoeForCausalLM": Ernie4_5_PretrainedModel,
"Ernie4_5_MTPForCausalLM": Ernie4_5_MTPPretrainedModel,
"Qwen2ForCausalLM": Qwen2PretrainedModel,
"Qwen3ForCausalLM": Qwen3PretrainedModel,
"Qwen3MoeForCausalLM": Qwen3MoePretrainedModel,
"Ernie4_5_ForCausalLM": Ernie4_5_PretrainedModel
}
# TODO(gongshaotian): implement real interface to replace this
def get_model(llm_config: LLMConfig) -> nn.Layer:
def get_model_from_loader(fd_config: FDConfig) -> nn.Layer:
""" load or download model """
model_path = llm_config.load_config.model_path
model = paddle.load(model_path, return_numpy=True)
model_loader = DefaultModelLoader(fd_config.load_config)
model = model_loader.load_model(fd_config)
return model
@@ -42,7 +59,7 @@ class BaseModelLoader(ABC):
raise NotImplementedError
@abstractmethod
def load_model(self, llm_config: LLMConfig) -> nn.Layer:
def load_model(self, fd_config: FDConfig) -> nn.Layer:
""" Load a model with the given configurations."""
raise NotImplementedError
@@ -56,5 +73,23 @@ class DefaultModelLoader(BaseModelLoader):
def download_model(self, model_config: ModelConfig) -> None:
pass
def load_model(self, llm_config: LLMConfig) -> nn.Layer:
pass
def load_model(self, fd_config: FDConfig) -> nn.Layer:
context = paddle.LazyGuard()
architectures = fd_config.model_config.architectures[0]
# TODO(gongshaotian): Now, only support safetensor
model_class = MODEL_CLASSES[architectures]
state_dict = load_checkpoint(
fd_config.parallel_config.model_name_or_path,
model_class,
fd_config.model_config,
return_numpy=True)
with context:
model_cls = ModelRegistry.get_class(architectures)
model = model_cls(fd_config)
model.eval()
model.set_state_dict(state_dict)
return model