Gradient clipping is one technique that can help keep gradients from exploding. You can keep an eye on the gradient norm by logging it in your LightningModule:.

21 июл. 2020 г. · This code seems to log the weights instead of gradients (assuming lightning state_dict is the same structure as pytorch). I'm happy to fix it ...

To log the parameter norms or grad norm you can do something like - grads = {n:p.grad.cpu() for n, p in model.named_parameters()} and then calculate the norm.

To track other artifacts, such as histograms or model topology graphs first select one of the many loggers supported by Lightning.

Log your hyperparameters; Log additional config parameters; Log gradients, parameter histogram and model topology; Log metrics; Log the min/max of your metric ...

Inspect gradient norms. Logs (to a logger), the norm of each weight matrix ... Log GPU usage. Logs (to a logger) the GPU usage for each GPU on the master ...

27 авг. 2020 г. · I'd like to log gradients obtained during training to a file to analyze/replicate the training later. What's a convenient way of doing this in PyTorch?

22 дек. 2020 г. · The logging doesn't work as expected when I set the number of gradient accumulation batches larger than one. The Wrong Way · Attempt #1 · Attempt #2

28 мар. 2023 г. · I want to perform some operations on the gradients while using Pytorch Lightning. I know that the model weights are getting updated (weights change every step, ...

4 нояб. 2024 г. · Dear wandb Team, I am experiencing several issues when using wandb with Lightning. Images are not displayed (as described in this post from ...