torch.isinf — PyTorch 1.10 documentation
pytorch.org › docs › stabletorch.isinf(input) → Tensor Tests if each element of input is infinite (positive or negative infinity) or not. Note Complex values are infinite when their real or imaginary part is infinite. Parameters input ( Tensor) – the input tensor. Returns A boolean tensor that is True where input is infinite and False elsewhere Example:
Loss.item() is inf or nan - PyTorch Forums
discuss.pytorch.org › t › loss-item-is-inf-or-nanNov 24, 2018 · I defined a new loss module and used it to train my own model. However, the first batch’s loss always get inf or nan, which leads to fail. I try to print the loss item info as follows: loss item: inf loss item: 7.118189334869385 … loss item: 7.123733997344971 what may it happpens? I test the loss module and it works with some synthesis data. And the module is implemented with torch ...
regression - Pytorch loss inf nan - Stack Overflow
stackoverflow.com › questions › 51033066Jun 26, 2018 · Pytorch loss inf nan. I'm trying to do simple linear regression with 1 feature. It's a simple 'predict salary given years experience' problem. The NN trains on years experience (X) and a salary (Y). For some reason the loss is exploding and ultimately returns inf or nan. import torch import torch.nn as nn import pandas as pd import numpy as np ...