Errors when using the loss function about entmax HOT 9 CLOSED

Indeed it works with 1.0.1 which is supposed to be a minor bugfix release over 1.0, and 0.4.1 is the last release before the 1.0 line, so I will go ahead and specify pytorch>=1.0 in the requirements.

from entmax.

Thank you for opening the issue. I'm having trouble replicating this but it sounds like a mismatch in between the dimensions of the input and the target. Could you provide an example that causes this bug?

P.S. This probably won't have any effect on the bug, but that version of pytorch is rather out of date.

from entmax.

Thanks.
After I switch to the most recent version, the error disappears. Seems like the function scatter_add_ has been updated.

from entmax.

@berlino you mean the most recent pytorch version?

We should try to bisect pytorch versions and figure out our minimum requirement, to list in readme. Reopening this until we figure it out.

from entmax.

(I suspect pytorch 1.0 is the minimum)

from entmax.

Sorry to ping you again @berlino,

We added a bunch of new features to the code and we're planning to make a package release on pypi soon, would you mind checking that your application works well with the current version of the code?

Some defaults were changed (dim=-1 now everywhere) and the import paths are now shorter (from entmax import sparsemax for instance.)

from entmax.

No worries.

The updated version works well for my application. (I actually made similar changes when I used the code)

from entmax.

Thanks a lot! We will make a pypi release soon.

from entmax.

@vene Following this thread, I think pytorch should be specified as a dependency in the setup.py, assuming the environment does not have pytorch installed.

Currently, I ran into the problem "ModuleNotFoundError: No module named 'torch'" when I specify entmax as a dependency in my our own setup.py.

from entmax.