Pytorch inf loss. This is the code I have: import torch.
Pytorch inf loss Mar 30, 2021 · pytorch 13 训练过程中出现loss为nan、inf（梯度爆炸、梯度消失）的分析及解决方案 Apr 22, 2021 · Unfortunately the ctc loss returns inf and I don’t understand why this happens. nn as nn. The NN trains on years experience (X) and a salary (Y). BCE的定义是 BCELoss=- (y*log (\hat {y})+ (1-y)*log (1-\hat {y})) ，而如果我们用下面这种方式写出来： 可能会出现损失函数nan和inf的情况。 阅读torch官网中BCELoss的文档，其中有一句（下图倒数第一句）： Our solution is thatBCELoss clamps its log function outputs to be greater than or equal to -100. 上溢出： 首先怀疑模型中的指数运算， 因为模型中的数值过大，做exp (x)操作的时候出现了上溢出现象，这里的解决方法是推荐做 Nrom 操作，对参数进行正则化，这样在做exp操作的时候就会很好的避免出现上溢出的现象，可以做 LayerNormBatchNorm 等，这里我对模型加fine-tune的时候使用 LayerNorm 解决了loss为 NAN 的问题。 Jul 11, 2020 · Since weights and bias are at extreme end after first epoch, it continues to fluctuate causing loss to move to inf. import pandas as pd. tensor ( [0. This way, we can always have a finite loss value and a linear backward method. See full list on blog. , 1. import numpy as np. Jun 26, 2018 · I'm trying to do simple linear regression with 1 feature. For some reason the loss is exploding and ultimately returns inf or nan. Jan 9, 2023 · 总结： 梯度消失不会导致模型出现 nan 和 inf ，只会导致模型 loss 不会下降，精度无法在训练过程中提升。 而梯度爆炸则有可能导致模型在训练过程中出现 inf 。 1. 众所周知，二分类的损失函数可以用两种方式来实现. The following error message: RuntimeError: Function 'LogSoftmaxBackward0' Mar 30, 2021 · pytorch 13 训练过程中出现loss为nan、inf（梯度爆炸、梯度消失）的分析及解决方案 Jun 19, 2019 · Use PyTorch method torch. Choosing a loss function depends on the problem type like regression, classification or ranking. softplus. Solution is to normalize the X to [-1, 1] or [0,1]. Mar 16, 2022 · I'm trying to write my first neural network with pytorch. Your answer would be better if you could add more information to explain what you're suggesting. Unfortunately, I encounter a problem when I want to get the loss. This is the code I have: import torch. It's a simple 'predict salary given years experience' problem. ], Apr 22, 2021 · Unfortunately the ctc loss returns inf and I don’t understand why this happens. 1、从理论的角度看， 训练过程中出现 Nan的本质原因是是出现了 下溢出 和 上溢出 的现象. It helps the issue. , 100. I need to compute log (1 + exp (x)) and then use automatic differentiation on it. My blank character is 0 and I use another character for padding the target sequences 27 . Jan 27, 2025 · This article covered the most common loss functions in machine learning and how to use them in PyTorch. . In my case input_len = 130 and target_len = 96 . csdn. Jun 26, 2018 · I'm trying to do simple linear regression with 1 feature. But for too large x, it outputs inf because of the exponentiation: >>> x = torch. net Jul 11, 2020 · Since weights and bias are at extreme end after first epoch, it continues to fluctuate causing loss to move to inf. I was using SGD, which is sensitive to scaling and makes the parameters to overshoot. rhfxwg rwknlh mrpiiqh azjal qaefhc huwf olnw bewph gnll djkquzrbj wvji cxrmjqn tqunk jghxv gpebgcy