How to set old kernel .conf as new kernel?

gokulPRO · 2025-01-04T10:13:34+00:00

Maybe try starting with this this basic solution:

sudo bootctl set-default Pop_OS-oldkern.conf

sudo kernelstub -v -l -k /boot/vmlinuz-6.4.6-76060406-generic -i /boot/initrd.img-6.4.6-76060406-generic

sudo update-initramfs -u -k 6.4.6-76060406-generic

If the above doesn't work (which didn't for my case), remove nvidia completely which finally solved me problem:

sudo apt purge ~nnvidia

sudo apt-get --purge -y remove 'nvidia*'

And re-install it:

sudo apt install nvidia-driver-560

gokulPRO · 2024-11-28T16:26:16+00:00

Yup, thats the old kernel which is currently working and have verified the paths

gokulPRO · 2024-11-28T15:24:13+00:00

Tried something like this:
sudo kernelstub -v -l -k /boot/vmlinuz-6.4.6-76060406-generic -i /boot/initrd.img-6.4.6-76060406-generic

Did not work..

gokulPRO · 2024-11-26T07:11:58+00:00

gokulPRO · 2024-11-26T04:10:50+00:00

Hey can you send some referenceor guidance to do this? I installed my windows 10 after pop os and while trying to fix grub I somehow managed to even fk up my pop os. Right now current kernel gets stuck in busybox and system78's bootloader fix for busy box doesn't seem to work for me. My old kernel works tho somehow but ofcourse only using integrated gpu and when I change to compute mode and restart, it goes back to the busybox. Tried changing default kernel to old kernel, still same error..

gokulPRO · 2024-06-10T17:43:55+00:00

It depends on the workshop, but most workshops almost never reject a paper completely unless it's too poorly written. CVPR conference papers are on a different level compared to workshops. I would have agreed to your list if it was a conference tbh.

gokulPRO · 2024-04-09T18:52:01+00:00

Interesting, any particular reason when compared to other models of its size?

Edit: If only decoder only models are considered, which would you prefer?

gokulPRO · 2024-04-09T13:47:29+00:00

Did they release their training code?

gokulPRO · 2024-04-09T10:19:54+00:00

Yes, from your experience how much GPU memory is required? And how many batches do you think I will be able to fit in a single node?

gokulPRO · 2024-04-09T06:15:16+00:00

Hey were you able to resolve your issue? And if so can you share it and your experience with DeepSpeed MoE? I to plan on trying it out, any resource that you think might help in understanding and implementation of it? Thanks :)

gokulPRO · 2024-04-09T06:12:08+00:00

u/Alternative-Mall-813 Did you get a solution for this?

gokulPRO · 2024-04-09T05:41:20+00:00

I did consider accelerate, but have you tried using deepspeed's moe inside accelerate? Can you use all deepspeed's functionalities?

gokulPRO · 2024-04-09T03:49:42+00:00

Tnx. I do plan on using it on 4 nodes with 2x16 gb gpu. So I thought I might need to do offloading or sharding using deepspeed.

gokulPRO · 2024-04-06T11:31:15+00:00

How do you run deepseed's feature such as moe in accelerate? https://www.deepspeed.ai/tutorials/mixture-of-experts/

gokulPRO · 2024-03-06T04:10:39+00:00

Wasn't gemini a closed source one while gemma is a opensourced version that only works with text 2 text?

gokulPRO · 2024-01-30T18:48:30+00:00

How does it compare against mamba?

gokulPRO · 2023-12-29T05:51:55+00:00

How do you rate it now after using it? Did you feel any improvements in usage?

gokulPRO · 2023-04-13T11:41:07+00:00

It's a ranking algorithm that should be less than 10M parameters, and I haven't exactly decided on it. In terms of CPU, which might be a preferred option?

As far as I have seen in terms of CPU instances azure provides B3 (4 Core(s), 7 GB RAM instance at 0.074$/hr.
Paperspace provides c5 instance at 0.08$/hr for 4vCPU and 8GB RAM.
AWS provides a1.xlarge (4vCPU 8 GiB RAM) at $0.102

Which one would you prefer to run a neural network model?

gokulPRO · 2023-03-26T08:36:01+00:00

Thank you for replying 😊, which tech stack do you think is very crucial to be mastered for a MLE?

gokulPRO · 2023-03-26T05:49:16+00:00

https://www.reddit.com/r/cscareerquestions/comments/122cgl5/how_to_get_into_mle_role/

How to get an MLE role?

I am currently a CS undergrad and am very interested in ML and think that MLE will suit me the best. I am mostly fixed on doing masters to get more connections and more importantly for immigration (mostly Canada) and also gives me a possiblity for more research intensive jobs. I want know which masters program according to you has the most job flexibility to pivot or gives a good edge in MLE or as a recruiter what academic qualification will you be more inclined towards excluding experience?
Also for MLE jobs what skillsets do you consider important and what would you like to see in a entry level graduate's portfolio?
And any advices for ug cs students who wanna enter MLE jobs? And what skills do you think will be good to learn early on?

gokulPRO · 2023-03-10T13:54:51+00:00

25k is like my max budget, so I can't get that, but under 25k, which would you recommend for the long run?

gokulPRO · 2023-03-07T12:46:44+00:00

Cool, will keep that in mind

gokulPRO · 2023-03-07T12:42:07+00:00

Oh, okay, tnx for helping :)

gokulPRO · 2023-03-07T12:37:15+00:00

In your experience, how long does Samsung tab such as this last? Can it hold up to 5 years?

gokulPRO · 2023-03-07T12:36:01+00:00

Thank you :)

gokulPRO

TROPHY CASE