检查你的代码中是否有其他语法错误,或者Python环境本身是否有问题(如路径配置错误、环境变量问题等)。 通过以上步骤,你应该能够定位并解决from torch import nn报错的问题。如果问题仍然存在,请提供更详细的错误信息,以便进一步分析。
(1)import xxx :模块或包,例如import torch,import torch.nn.functional (2) from xx import xx :可以是模块、包、函数、类。例如from torch import nn,from torch.nn.functional import relu(函数),from torch.nn import Conv2d(类) import仅仅是把模块添加到命名空间里了,但并没有添加到sys.path中,因此下...
from torch.nn import functional as F from torch.autograd import Variable import matplotlib.pyplot as plt from torchvision.datasets import ImageFolder import torch.optim as optim import torch.utils.data from PIL import Image import torchvision.transforms as transforms # 超参数设置 DEVICE = torch.device...
import torch from torch import nn import torch.nn.functional as F from torch import optim from torch.autograd import Variable from torchvision import datasets, transforms, models from PIL import Image import numpy as np import os from torch.utils.data.sampler import SubsetRandomSampler import pandas...
[GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> from torch import nn Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: cannot import name 'nn' from 'torch'...
torch），但水果下分北方水果和热带水果，没有苹果，你需要再导入北方水果（torch.nn）然后才可以找到nn...
一、import…as import：导入一个模块；注：相当于导入的是一个文件夹，是个相对路径 import A as B：给予工具库 A 一个简单的别称 B ，可以帮助记忆。例：import torch.nn as nn；import torch as t 二、from…import from…import：导入了一个模块中的一个函数；注：相当于导入的是一个文件...
import torch import torch.nn as nn import torch.optim as optim from torchvision import datasets, transforms # 数据预处理和加载... 然后,我们定义全连接神经网络模型: python class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.fc1 = nn.Linear(28 * 28, 128) se...
import torch import torch.nn.functional as F import torch.optim as optim from torch.utils.data import DataLoader from torchvision import datasets from torchvision import transforms EPOCHS=10#训练...
import torch import torch import torch.nn as nn from torch.utils._pytree import tree_map, tree_flatten from typing import List, Any from numbers import Number from collections import defaultdict from torch.utils._python_dispatch import TorchDispatchMode ...