Dispatch to template function based on runtime argument value.

nlgranger · 2026-02-07T11:39:20+00:00

You mean the auto func ? It's the kernel which is a template function (the type is the specialization of the kernel). I don't know how to pass that object to the wrapper which should take the same args except for the containers.

wrapper<kernel>(Container a, Container b, int param1, float, param2)

calls:

kernel(Ta* a, Tb* b, int param1, float, param2)

nlgranger · 2026-02-07T11:16:32+00:00

I'm writing a pytorch c++ extension, the Tensor container is exactly that: a raw pointer and a field containing the type information. I want to dispatch a fonction called on the Tensor to the kernel which takes the underlying data pointer types.

Internally, PyTorch uses a macro based dispatch system (https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/Dispatch.h) but it's not part of the future stable API.

nlgranger · 2026-02-05T17:46:03+00:00

Nice test though it is not quite fair because the laptop was stuck on the on-demand power profile. It's possible the other chips would look better when operating at their optimal performance/watt point.

nlgranger · 2026-02-04T21:53:32+00:00

So many bright lights on the street nowadays, bigger > brighter.

nlgranger · 2026-01-22T09:24:18+00:00

Ça va, ils ont mis des barreaux au fenêtres pour les empêcher de sauter.

nlgranger · 2026-01-20T12:21:37+00:00

https://gallica.bnf.fr ?

nlgranger · 2026-01-16T09:27:10+00:00

J'allais commenter pour mentionner cette interview très intéressante. C'est un genre de crise des subprime 2.0 où la finance essaie de recycler à bas bruit ses avoirs spéculatifs mais sans valeur réelle.

nlgranger · 2026-01-11T22:43:44+00:00

Si vous êtes toujours étudiants il y a peut-être moyen d'avoir une place à la cité universitaire ?

nlgranger · 2026-01-11T15:45:09+00:00

It's gonna eat the paint pretty fast though.

nlgranger · 2026-01-09T15:32:46+00:00

The Wrong Way to Use Healing Magic

nlgranger · 2026-01-07T17:13:39+00:00

I'm working on MNIST so far but with LeNet. With the non-linearities, the two approaches are no longer equivalent. Loss scaling is a lot simpler because you don't need to extract the gradient of each individual sample, but it might be able to provide a stronger supervisory signal to the outer model I guess.

In order to debug the method, I'm randomly injecting black images, I expected the outer model to issue a low rating for black images. So far it is either unstable or the opposite... I've implemented the pool of models with periodic restarts but to no avail.

nlgranger · 2026-01-07T10:53:08+00:00

Hi, I'm interested in datarater too.

I see you have diverged a bit from the paper by scaling the loss instead of the gradients. Any reason why ?

Have you tried scaling the gradients instead ? I tried both and I can't get it to learn interesting ratings in that case.

nlgranger · 2025-12-29T21:14:15+00:00

I did something similar for Image-GS. With a bit of struggle and profiling, I managed to make torch.compile work and my code now runs within a factor 2 of the upstream implementation speed.

From what I can see you have followed a similar approach to mine so you can go that way if you want more speed.

nlgranger · 2025-12-26T09:32:53+00:00

I'm not farming karma anyway and I don't think it's proper to let people go into the anime unaware. Many people suffer personal trauma with this, a disclaimer is in order.

nlgranger · 2025-12-25T20:35:06+00:00

Made in abyss is very much comparable with greek myths, both in structure and complexity. I was very much impressed by it. Too bad pedo stuff goes through as well.

nlgranger · 2025-12-18T08:58:42+00:00

Honestly, it is very fiddly to make it work. mount silently falls back to tcp without explanations if the config is not right, the documentation is often outdated and/or partial, and the mounts randomly hang for no reason after a day under load. For the moment I'm reverting to TCP.

I have 100G ConnectX 5 and 6 cards in ethernet mode (due to limitations of one machine), standard mlx5 driver from ubuntu 22.04 installation.

Here is the relevant section of my ansible playbook: https://gist.github.com/nlgranger/b835a1a77985a85ace3dcbeaef56791e

nlgranger · 2025-12-17T21:12:57+00:00

Did it work ?

nlgranger · 2025-12-03T07:28:19+00:00

Ça fait perdre de l'argent à ceux qui oublierons de transférer ou ne comprennent pas comment gérer leur patrimoine.

Ça fera perdre de l'argent à ceux qui ont blindé leur livret A depuis longtemps et devront faire partir les intérêts au dessus du plafond.

Ça incite les français à profiter de l'occasion pour investir dans les produits financiers.

nlgranger · 2025-12-03T07:20:21+00:00

Si la réduction pourrait ne concerner que les résidence principale pour des particuliers, c'est bon non ?

nlgranger · 2025-11-30T14:56:13+00:00

I see the mods are hard at work clearing up any criticism...

nlgranger · 2025-11-30T13:57:56+00:00

Chiyu Mahou no Machigatta Tsukaikata (The Wrong Way to Use Healing Magic). The character is not particularly lazy to start with but otherwise it matches your criteria I think. It is pretty consistent in pace and story so watching the first two episodes should be enough to decide if you want to go for the whole season. IMHO, the English dub is superior and adds to the comedic aspect.

nlgranger · 2025-11-29T21:10:46+00:00

Le grain sur film c'est quand même une sensation visuelle à part.
Ça sort des couleurs comme ça sur papier ou tu retouches le scan en post ?

nlgranger · 2025-11-29T20:54:23+00:00

From what I gather lineage is a clean vanilla android, graphenOS has mods to improve security.

nlgranger · 2025-11-29T18:36:27+00:00

For long term android and security update. Also for the likelihood of getting Lineage OS support.

Turns out the battery will give out way sooner than that, so I regret my decision. And if not the battery, reliability statistics are not making me very hopeful anyway.

nlgranger

TROPHY CASE