dataset=torch.utils.data.TensorDataset(data[0],data[1])loader = torch.utils.data.DataLoader(dataset,batch_size=32,shuffle=True)for index,item in enumerate(loader):print(len(item))print(index)
详细解决方案
torch dataloader
热度：81 发布时间：2024-01-24 09:05:58.0
相关解决方案
- torch x = x.view(-1, ...)理解
- torch.nn.ConvTranspose2d()
- torch softmax计算出0，导致math.log报math domain error
- torch 数据类型转换
- 转载：：torch
- torch 中模型参数问题
- pytorch函数 torch.index_select( )学习
- Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False
- torch.chunk()
- torch.nn.conv2d与tf.nn.conv2d()不同
- torch.nn.Parameter的使用
- Torch not compiled with CUDA enabled报错的解决办法
- （fast-reid）visualize_result.py中的distmat = 1 - torch.mm(q_feat, g_feat.t())理解
- (fast-reid)torch error:DataLoader worker (pid(s) 26462) exited unexpectedly
- torch 特征图复制 遇到的坑
- Can’t pickle local object ‘DataLoader.__init__.＜locals＞.＜lambda＞’神奇解决
- jupyter notebook中引入torch时报错：ModuleNotFoundError: No module named ‘torch‘
- pytorch学习 中 torch.squeeze() 和torch.unsqueeze()的用法
- RuntimeError: DataLoader worker (pid(s) 21296, 22352, 19104, 8456) exited unexpectedly问题
- window +深度学习+dataloader+numworks 问题
- AttributeError: ‘torch.return_types.max‘ object has no attribute ‘shape‘
- torch.dataset的构建
- _wrap_function：torch.utils.ffi is deprecated.Please use cpp extensions instead
- Pytorch 中的 eval 模式，train 模式 和 梯度上下文管理器 torch.no_grad
- Pytorch 分布式 torch.distributed.send recv 报错
- pytorch实现基本的logistic和softmax回归实验（手动+torch）
- Expected more than 1 value per channel when training, got input size torch.Size......
- torch.masked_select 用于带mask的图像分割测试集DRIVE
- torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, b
- Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same