I want to run a federated learning related code, but this error occurs from data.dataloader import DataLoader as DL ModuleNotFoundError: No module named 'data' There is a data file in the code folder, why does this error occur when running the train file. python Share...
报错如下: ImportError: cannot import name 'default_collate' from 'torch.utils.data' 应该是写法不对: 将:from torch.utils.data import DataLoader, default_collate 改为:from torch.utils.data.dataloader import DataLoader,default_collate 这个问题应该就能解决。
importmath fromPILimportImage, ImageOps from torch.optimimportSGD, Adam, lr_scheduler from torch.autogradimportVariable from torch.utils.dataimportDataLoader from torchvision.transformsimportResize from torchvision.transformsimportToTensor, ToPILImage from datasetimportcityscapes from datasetimportidd_lite imports...
import torchvision.transforms.functional as FT from tqdm import tqdm from torch.utils.data import DataLoader from model import Yolov1 from dataset import VOCDataset from utils import ( non_max_suppression, mean_average_precision, intersection_over_union, ...
import torch from torch.utils.data import DataLoader 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,))) ...
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...
开发者ID:ShiwenMa,项目名称:MiniProject,代码行数:28,代码来源:test_data_loader.py 示例3: boilerplate_module ▲点赞 3▼ # 需要导入模块: from ansible.parsing.dataloader import DataLoader [as 别名]# 或者: from ansible.parsing.dataloader.DataLoader importload_from_file[as 别名]defboilerplate_module...
# 1_train.py from MnistNet import MnistNet import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import Dataset, DataLoader import torchvision from termcolor import colored BATCH_SIZE = 64 NUM_EPOCHS = 10 GRAPH_NAME = 'MNIST.pt' def main(): train...
import json import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F from tqdm import tqdm from typing import List from einops import rearrange from datasets import load_dataset from torch.utils.data import Dataset, DataLoader from transformers import AutoConfi...