82 lines
2.6 KiB
Python
82 lines
2.6 KiB
Python
import torch.nn as nn
|
|
import safetensors.torch as st
|
|
|
|
from dataclasses import dataclass, field
|
|
from typing import Optional, Self, Union
|
|
from pathlib import Path
|
|
|
|
from astrai.data.tokenizer import BpeTokenizer
|
|
from astrai.config.model_config import ModelConfig
|
|
from astrai.model.transformer import Transformer
|
|
|
|
|
|
@dataclass
|
|
class BaseModelIO:
|
|
"""Base class for model I/O operations."""
|
|
|
|
model: Optional[nn.Module] = field(
|
|
default=None, metadata={"help": "Transformer model."}
|
|
)
|
|
tokenizer: BpeTokenizer = field(
|
|
default_factory=BpeTokenizer, metadata={"help": "Tokenizer for the model."}
|
|
)
|
|
config: ModelConfig = field(
|
|
default_factory=ModelConfig,
|
|
metadata={"help": "Transformer model configuration."},
|
|
)
|
|
|
|
def _get_file_paths(self, directory: Union[str, Path]) -> dict[str, Path]:
|
|
"""Get standardized file paths for model components."""
|
|
dir_path = Path(directory)
|
|
return {
|
|
"model": dir_path / "model.safetensors",
|
|
"config": dir_path / "config.json",
|
|
"tokenizer": dir_path / "tokenizer.json",
|
|
}
|
|
|
|
def save_components(self, save_dir: Union[str, Path]):
|
|
"""Save core model components."""
|
|
paths = self._get_file_paths(save_dir)
|
|
paths["model"].parent.mkdir(parents=True, exist_ok=True)
|
|
|
|
if self.model is not None:
|
|
st.save_file(self.model.state_dict(), str(paths["model"]))
|
|
self.config.save(str(paths["config"]))
|
|
self.tokenizer.save(str(paths["tokenizer"]))
|
|
|
|
def load_components(self, load_dir: Union[str, Path]) -> Self:
|
|
"""Load core model components."""
|
|
paths = self._get_file_paths(load_dir)
|
|
|
|
self.config.load(str(paths["config"]))
|
|
self.tokenizer.load(str(paths["tokenizer"]))
|
|
|
|
if self.model is None:
|
|
self.model = Transformer(self.config)
|
|
|
|
if paths["model"].exists():
|
|
state_dict = st.load_file(str(paths["model"]))
|
|
self.model.load_state_dict(state_dict)
|
|
|
|
return self
|
|
|
|
def to(self, *args, **kwargs) -> "BaseModelIO":
|
|
"""Move model to device."""
|
|
if self.model is not None:
|
|
self.model.to(*args, **kwargs)
|
|
return self
|
|
|
|
|
|
@dataclass
|
|
class ModelParameter(BaseModelIO):
|
|
"""Container for model parameters with serialization capabilities."""
|
|
|
|
@classmethod
|
|
def save(cls, instance: "ModelParameter", save_dir: Union[str, Path]):
|
|
instance.save_components(save_dir)
|
|
|
|
@classmethod
|
|
def load(cls, load_dir: Union[str, Path]) -> "ModelParameter":
|
|
instance = cls()
|
|
return instance.load_components(load_dir)
|