在PyTorch中,torch.utils.data 模块包含 Dataset 和DataLoader 两个类,但在导入时需要使用正确的类名。你的导入语句 from torch.utils.data import dataloader, dataset 中的dataloader 和dataset 是错误的,应该是 DataLoader 和Dataset。 正确的导入语句: python from torch.utils.data import DataLoader, Dataset ...
from torch.utils.data.sampler import RandomSampler, SequentialSampler, SubsetRandomSampler, WeightedRandomSampler # 创建一个数据集 dataset = torch.utils.data.TensorDataset(torch.randn(10, 3), torch.randint(0, 2, (10,))) # 创建一个使用RandomSampler的DataLoader random_loader = DataLoader(dataset, ...
下面的SpamDataset 类,主要完成两个功能。一个是找到数据集中最长的那个序列拿到其序列长度,一个是将其他长度不足的字符序列,补上token一直补到最长的这个序列长度。 import torch from torch.utils.data import Dataset class SpamDataset(Dataset): def __init__(self, csv_file, tokenizer, max_length=None, ...
import torchfrom torch.utils.data import DataLoaderfrom torch.utils.data.sampler import RandomSampler, SequentialSampler, SubsetRandomSampler, WeightedRandomSampler# 创建一个数据集dataset = torch.utils.data.TensorDataset(torch.randn(10, 3), torch.randint(0, 2, (10,)))# 创建一个使用RandomSampler的D...
from torch.utils.data import Dataset import torchvision import numpy as np import cfg import os from utils import * from PIL import Image,ImageDraw import math LABEL_FILE_PATH = "data/data.txt" IMG_BASE_DIR = "data/images" transforms = torchvision.transforms.Compose([ ...
ImportError: cannot import name ‘IterableDataset‘ from ‘torch.utils.data.dataset‘,今天在导入torch库的时候出现了下面的错误:ImportError:cannotimportnam
from torch.utils.dataimportDataLoader from torchvision.transformsimportResize from torchvision.transformsimportToTensor, ToPILImage from datasetimportcityscapes from datasetimportidd_lite importsys print(sys.executable) from transformimportRelabel, ToLabel, Colorize ...
from torch.utils.data import Dataset, DataLoader from PIL import Image from torchvision import transforms import os class DataIter(Dataset): def __init__(self): path = "path/to/data" self.data = [] for cls in os.listdir(path): for img in os.listdir(os.path.join(path, cls)): self...
🐛 Bug To Reproduce A linter yields that it can't find IterableDataset when imported, but it's actually there: from torch.utils.data import IterableDataset Expected behavior No error by the linter. Environment PyTorch Version (e.g., 1.0):...
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