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data_handler.py
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data_handler.py
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import os
from typing import Tuple, Any
import torch
import torchvision
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
from yaml_handler import load_yaml
import logging
import logs_handler
def load_dataset(path: str, batch_size=32, download=True) -> Tuple[DataLoader[Any], DataLoader[Any], DataLoader[Any]]:
"""
Load the CIFAR10 dataset, save it to [path] and return it.
"""
logger = logging.getLogger("data_handler:load_dataset")
logger.debug("Creating transform")
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(
(0.5, 0.5, 0.5),
(0.5, 0.5, 0.5)
)
])
logger.debug("Downloading dataset")
train_set = torchvision.datasets.CIFAR10(root=path, train=True, download=download, transform=transform)
val_set = torchvision.datasets.CIFAR10(root=path, train=False, download=download, transform=transform)
val_set, test_set = torch.utils.data.random_split(val_set, [int(len(val_set) * 0.5), int(len(val_set) * 0.5)])
logger.debug("Creating DataLoaders")
train_loader = DataLoader(train_set, batch_size=batch_size, shuffle=True, num_workers=2)
val_loader = DataLoader(val_set, batch_size=batch_size, shuffle=False, num_workers=2)
test_loader = DataLoader(test_set, batch_size=batch_size, shuffle=False, num_workers=2)
logger.info("Dataset successfully loaded")
return train_loader, val_loader, test_loader
if __name__ == '__main__':
YAML = load_yaml("./config.yaml")
DATA_DIR = YAML['global']['data_dir']
LOG_PATH = YAML['global']['log_path']
logging.basicConfig(filename=LOG_PATH, level=logs_handler.get_log_level())
logger = logging.getLogger("data_handler:main")
if not os.path.exists(DATA_DIR):
logger.debug("Creating %s folder", DATA_DIR)
os.mkdir(DATA_DIR)
logger.info("Directory %s created successfully", DATA_DIR)
load_dataset(DATA_DIR)