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