Files
2026-07-13 13:17:40 +08:00

32 lines
876 B
Python

from abc import ABC, abstractmethod
from typing import Any, Dict, Iterator, Tuple
import logging
import torch
from config import BenchmarkConfig, DataLoaderConfig
logger = logging.getLogger(__name__)
class BaseDataLoaderFactory(ABC):
"""Base class for creating and managing dataloaders."""
def __init__(self, benchmark_config: BenchmarkConfig):
self.benchmark_config = benchmark_config
def get_dataloader_config(self) -> DataLoaderConfig:
return self.benchmark_config.dataloader_config
@abstractmethod
def get_train_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]:
pass
@abstractmethod
def get_val_dataloader(self) -> Iterator[Tuple[torch.Tensor, torch.Tensor]]:
pass
def get_metrics(self) -> Dict[str, Any]:
"""Return metrics about dataloader performance."""
return {}