Any chance to run this without an NVIDIA card/driver?

[itst]

Hi Stan,

thanks for cleaning up the dependencies.

I only now realized you are using PyTorch with CUDA built in.

Any chance to run this on MacOS/without CUDA?

Thanks
Sascha

[StanGirard]

Hello,

You dont need cuda 😃 however it can be faster with it.

I'm running it on MacBook Pro so I know it works.

[itst]

I see! Then it must be something else.

When I try to login to http://localhost:3000/#/login using admin/admin, the API gives back:

{ "non_field_errors": [ "Unable to log in with provided credentials." ] }

See this screenshot for context

I am guessing this is because this step of the install process fails because it missed CUDA:

docker exec -it osat-server python manage.py loaddata init_data.json

Gives back:

/opt/venv/lib/python3.8/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.) return torch._C._cuda_getDeviceCount() > 0 Traceback (most recent call last): File "/opt/venv/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute return self.cursor.execute(sql, params) psycopg2.errors.UniqueViolation: duplicate key value violates unique constraint "django_content_type_app_label_model_76bd3d3b_uniq" DETAIL: Key (app_label, model)=(django_celery_beat, solarschedule) already exists.

The above exception was the direct cause of the following exception: […]

django.db.utils.IntegrityError: Problem installing fixture '/opt/app/init_data.json': Could not load contenttypes.ContentType(pk=19): duplicate key value violates unique constraint "django_content_type_app_label_model_76bd3d3b_uniq" DETAIL: Key (app_label, model)=(django_celery_beat, solarschedule) already exists.

[StanGirard]

Hello @itst,

I managed to get your error. What I did :

docker exec -it osat-server python manage.py flush

Then I ran the command again:

docker exec -it osat-server python manage.py loaddata init_data.json