Save long tensors using wandb.save OR wandb.log?

[prj]

Hi all,
In my experimentation, I want to save some tensor_10k_size for a dataset which has 90k samples. so that I can compare how the tensors look for different datasets. It’s part of my thesis.
Which is a better option to save tensors in my scripts using wandb.save(‘filename’)
or
wandb.log(tensor)

Thanks,
Prachi

[ramit_goolry]

Hi Prachi,

It completely depends on what you are trying to do with the tensor. If you are trying to visualize the tensor (a tensor is usually presented as a histogram - unless it is of shape (W, H, C) in which case it can be coerced to an image - it can be logged using wandb.log.

If you want to load up those tensors again to be used in your code -wandb.save would be the way to go.

Thanks,
Ramit

[prj]

Hi Ramit,
That was my hazy view, you made it clear.

Thanks,
Prachi