def __init__(self, dataset, batch_size=1, shuffle=False, sampler=None, batch_sampler=None, num_workers=0, collate_fn=default_collate, pin_memory=False, drop_last=False, timeout=0, worker_init_fn=None) class DataLoader(object): def __init__(self, dataset, batch_size=1, shuffle=Fals...
import torch from torch.utils.data import DataLoader, SequentialSampler, TensorDataset # 创建一个简单的数据集 data = torch.tensor([[1, 2], [3, 4], [5, 6]], dtype=torch.float32) labels = torch.tensor([0, 1, 0], dtype=torch.long) dataset = TensorDataset(data, labels) # 创建 Seque...