RuntimeError: The size of tensor a (20) must match the size of tensor b (10) at non- singleton dimension 2 这个错误非常令人恼火,与之前在mnist数据集中出现的错误ii相同,有人能建议应该学习什么来解决或避免这些错误吗 train_outputtrain_similarity_tensor的最后维度是10。 我不完全确定你试图实现什么(...
pytorch报错 RuntimeError: The size of tensor a (25) must match the size of tensor b (50) at non-singleton dimension 1 怎么解决? 简介:这个错误提示表明,在进行某个操作时,张量a和b在第1个非单例维(即除了1以外的维度)上的大小不一致。例如,如果a是一个形状为(5, 5)的张量,而b是一个形状为(...
--源码链接:https://gitee.com/ascend/modelzoo-GPL/tree/master/built-in/PyTorch/Official/cv/object_detection/Yolov5_for_PyTorch_v6.0 --数据集:自己的数据集 问题现象:RuntimeError: The size of tensor a (38280) must match the size of tensor b (3) at non-singleton dimension 1 期望解决日期:...
RuntimeError: The size of tensor a (102) must match the size of tensor b (60) at non-singleton dimension 4 Owner kijai commented Aug 29, 2024 Yes it is, but you'll have to resize the input before the decode node first, CogVideoX is pretty demanding on the resolution used. Author...
🐛 Describe the bug Let's say I have a parameter, and a list of other parameters; if I check param in others, I can get an error about non-singleton dimension: param = nn.Parameter(torch.zeros(2)) others = [nn.Parameter(torch.zeros(3, 4))...
RuntimeError: The size of tensor a (128) must match the size of tensor b (32) at non-singleton dimension 0 D_loss = -torch.mean(torch.log(D_real_gauss + TINY) + torch.log(1 - D_fake_gauss + TINY)) RuntimeError: The size of tensor a (128) must match the size of tensor ...
问题:RT,下一组数据集的又变成RuntimeError: The size of tensor a (30) must match the size of tensor b (36) at non-singleton dimension 0,后面tensor b的值在不断变化 解决:全景分割里面初始设定的mask的数量是30个,数据集里的mask多于了30个,这时需要把初始mask数量调大 ...
The size of tensor a (x) must match the size of tensor b (y) at non-singleton dimension z,程序员大本营,技术文章内容聚合第一站。
RuntimeError: The expanded size of the tensor (1011) must match the existing size (512) at non-singleton dimension 1. Target sizes: [1, 1011]. Tensor sizes: [1, 512] 我试图设置标记器以截断最大长度,但它发现encoded_inputs为非类型,但图像仍然存在。这里怎么了?
RuntimeError: The size of tensor a (138) must match the size oftensorb (144) at non-singleton dimension 4 在卷积时没有加padding,导致输入图像大小和输出图像大小不一样,加入适当的padding 发布于 2022-02-28 21:42 Torch (深度学习框架)