针对“nan or inf found in input tensor”的问题,我们可以按照以下步骤进行解决: 1. 检查输入张量中是否存在NaN或Inf值 首先,我们需要检查输入张量中是否确实包含了NaN或Inf值。这可以通过使用PyTorch的torch.isnan()和torch.isinf()函数来实现。例如,如果你有一个张量tensor,你可以这样检查: python import torch...
梯度爆炸了。请加入梯度剪裁。并换用Adam等更稳定的优化器。出现脏数据。定位到产生nan的输入，检查该条...
I am getting this warning when I train from Cityscapes to Foggy Cityscapes. The RPN regression box loss becomes NaN. I tried changing all these, but the error still goes NaN. From jwyang/faster-rcnn.pytorch#136 (comment) x1 = max(float(b...
Did you already see this issue (Warning: NaN or Inf found in input tensor #282)? Author ysujiang commented Dec 29, 2020 Are you using latest dev branch? Could you share your training config? Did you already see this issue (Warning: NaN or Inf found in input tensor #282)? yes, i ...
可能存在以下原因，一、你的代码存在问题，检查一下，二、不要选用模型的默认初始化，尝试其它的初始化...
nosenselesstalks/01-tensor-operations - Jovian Collaborate with nosenselesstalks on 01-tensor-operations notebook. ... RuntimeError: probability tensor contains either `inf`, `nan` or element < 0. Read more > No results found Top Related Reddit Thread...
Rank 0: found NaN in local grad norm in backward pass before data-parallel communication collective. Device: 0 配置信息 using world size: 8, data-parallel size: 8, context-parallel size: 1 tensor-model-parallel size: 1, pipeline-model-parallel size: 1 ...
See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate "https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning) WARNING:root:NaN or Inf found in input tensor. WARNING:root:NaN or Inf found in input tensor. WARNING:root:...
• edited by pytorch-bot bot 🐛 Describe the bug torch.topk when the input contains +nan and -nan, the result is not sure; sometimes -nan is treated greater than normal number, sometimes -nan is the least; Versions torch 1.13 & torch 2.1 cc @albanDinsigh changed the title when the...
如果是网络从数据输入就有问题了，那大概率就出现在数据增强模块，某一步的数据变换导致tensor里面出现了...