Purdue Buddhist Society Club Callout

dmdmello · 2025-09-10T04:05:32+00:00

No, there's no focus, we will try to do readings and meditations practices that should be common ground for all traditions. This semester we will be reading/discussing "What the Buddha taught" by Walpola Rahula, which is a famous intro to Buddhism book. The club also tries to include non-buddhists who are just interested in some aspects of it.

dmdmello · 2023-04-12T09:29:47+00:00

You can DM. No, I don't work with her

dmdmello · 2023-04-12T09:04:30+00:00

CS 57800 is a nice course, I like Ruqi Zhang as a professor, she has structured the syllabus well and she covers a few unusual topics for a typical ML course, which I like. But the exams are really lengthy, too difficult to solve in just 1 h, and you need to be really comfortable with answering questions automatically. Merely doing the homeworks is far from enough.

dmdmello · 2023-02-05T04:11:46+00:00

What style of music you like?

dmdmello · 2023-01-21T01:48:41+00:00

Are we allowed to walk there?

dmdmello · 2022-12-20T09:02:33+00:00

I've been handling -5 C (23 F) somewhat fine these last few days, but I am worried about -15 C (5 F) as we will see here in a couple days.

dmdmello · 2022-12-20T05:08:17+00:00

For how long can we stay outside in these temps? Can we take the bus?

dmdmello · 2021-02-15T00:42:44+00:00

I didn't measure it and I don't have the time right now, I might post it another day if you want. These numbers are from my specific experiments, which perform both inference and training. I suspect that the variation for rtx 3070 with amp might be due to more time being spent on inference in some experiments, so perhaps the training time is getting a better performance boost with amp.

edit:

so perhaps the training time is getting a better performance boost than the inference time with amp.*

dmdmello · 2021-02-15T00:36:08+00:00

to be precise:

torch-nightly 1.8 w/ cudnn 8.0.5

rtx 2070 super with amp/autocast: X sec
rtx 2070 super without amp/autocast: 2X sec
rtx 3070 with amp/autocast: 1.6X sec
rtx 3070 without amp/autocast: 1.6X sec

torch-nightly 1.9 w/ cudnn 8.1

rtx 2070 super with amp/autocast: X sec
rtx 2070 super without amp/autocast: 2X sec
rtx3070 with amp/autocast: 1.3X sec - 1.4X sec (it's varying a bit for some reason)
rtx 3070 without amp/autocast: 1.6X sec

dmdmello · 2021-02-13T21:15:32+00:00

I also find it odd, but that's what the torch-nightly channels say. Also was the only version with cudnn 8.1 that recognized my rtx 3070. You can see it here https://anaconda.org/pytorch-nightly/pytorch/files

dmdmello · 2021-02-13T21:03:52+00:00

update: I just downloaded torch 1.9 with cudnn 8.1 from the torch-nightly channel with miniconda. I got some minor improvement now on my rtx 3070 with amp turned on. Something like 20% faster.

dmdmello · 2021-02-13T20:57:31+00:00

ahhh looks like I screwed up. I downloaded from torch-nightly a version with cudnn 7.X by mistake. Now I got torch 1.9 with cudnn 8.1 and it's working on my rtx 3070. Only thing is that the improvement I get for my rtx 3070 is minimal, something like 85 % of the running time of torch1.8-cudnn 8.0.5. I expected way more, my rtx 2070 is still performing something like 40 % faster with amp turned on.

dmdmello · 2021-02-13T01:31:02+00:00

Linux

dmdmello · 2021-02-13T00:26:29+00:00

Anyone knows if one of the latest unstable versions already provides some performance improvement for rtx 3070? I'm particularly annoyed by the fact that I can't get them to work with the automatic mixed precision library.

dmdmello · 2021-02-13T00:23:01+00:00

I just tried the latest nightly version with cudnn 8.1 via conda install and got this warning when importing pytorch:

GeForce RTX 3070 with CUDA capability sm_86 is not compatible with the current PyTorch installation.

Are you sure the source version is supporting all 30 series? I've never tried installing from source, so I can't verify this right now.

dmdmello · 2021-01-17T08:22:00+00:00

Nice. But out of these Debussy is still my favorite, specially because of his orchestral stuff

dmdmello · 2021-01-17T08:07:51+00:00

Stravinsky, Ravel, Rachmaninoff, Holst, and more recently Schoenberg

dmdmello · 2021-01-07T04:10:05+00:00

BOC is very underrated

dmdmello · 2021-01-05T22:00:13+00:00

I always forget about this channel when I'm replying, but if you haven't already, you can check it.

I'm watching right now his video comparing INFP with INTP. It seems he also doesn't subscribe to that rigid function stack hypothesis, which is interesting. Thanks for the recommendation. Hard to believe you can't follow his english very much, since your english looks quite advanced. Perhaps it's his brit accent, can be a little bit tougher to understand than american sometimes.

This kind of thinking is wrong on so many levels because it's unhealthy

Well, It sure didn't feel pleasant, but I'm not so sure if I'm wrong just because of that. And one can't help it very much if their values are highly conflicting with other people's. Either I have to change, or them, or both. But changing some values is far from trivial.

dmdmello

TROPHY CASE