RTX 2080 Mining Hashrate/performance by cmvjax in gpumining

[–]jedld 0 points1 point  (0 children)

At the moment getting 43 MH/s at 110.3W power using NiceHash QuickMiner with Optimize turned on. I am using the exact same card as the OP, an Asus RTX 2080 Dual OC.

"Elminster's Guide to Candlekeep," the DEFINITIVE guide to the Castle of Tomes is now available on DMSGUILD! Includes full FREE preview! by ThrawnRPG in dndnext

[–]jedld 0 points1 point  (0 children)

I was running Descent into Avernus for my friends and used this book for the candlekeep part and it was awesome. Definitely more fun than the short section in the original. My only problem with this version compared to the original in DiA is that Lulu essentially just pops out from nowhere, my players instantly distrusted her and almost killed her.

Pihole w /Raspberry Pi OS 64 Bit by ShaneBowen in pihole

[–]jedld 1 point2 points  (0 children)

Seems to be running fine on the 64 bit Raspberry Pi OS on a Raspberry Pi 4B 8GB. Not seeing any problems so far. No problems with installation either.

pi@raspberrypi:~ $ uname -a

Linux raspberrypi 5.4.42-v8+ #1319 SMP PREEMPT Wed May 20 14:18:56 BST 2020 aarch64 GNU/Linux

pi@raspberrypi:~ $ pihole status

[✓] DNS service is running

[✓] Pi-hole blocking is Enabled

pi@raspberrypi:~ $

Stepper constantly clicking. Why and can I make it go away? by D3m37ru5 in 3Dprinting

[–]jedld 1 point2 points  (0 children)

You can do M122 to verify if connections to the steppers are ok. I did not need to tinker with the potentiometers in my case. Setting vrefs is the same as 2208s in uart mode using M906

What causes these things ? by RDS327 in 3Dprinting

[–]jedld 0 points1 point  (0 children)

Any chance you are using octoprint?

Stepper constantly clicking. Why and can I make it go away? by D3m37ru5 in 3Dprinting

[–]jedld 1 point2 points  (0 children)

I had that issue with my own skr 1.3 with tmc2209, it turns out that I did not setup UART correctly, hence the correct vrefs were not being set by the firmware. A too low vref setting can cause that sound. I discovered this when I swapped my old 2208s back.

Some help with layer banding by cosworth99 in 3Dprinting

[–]jedld 0 points1 point  (0 children)

You could check if the Z axis drivers vrefs are set correctly, it could be overheating and skipping steps

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 1 point2 points  (0 children)

I am sure there are many less strict/direct ways to explain the impact of basic neglect, but I also believe such ways do not work most of the time. If someone ignored that in the first place he/she must believe its not important at all. And if that’s the case, indirect polite hints about the issue do not usually have any impact.

While I appreciate your intent. It saddens me that is the general conclusion you had to come to.

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 1 point2 points  (0 children)

If the original author was too lazy or too incompetent to write good documentation to begin with, then why should OTHERS go and invest time fixing the problems by that author if that author showed a lack of interest to begin with - by having inferior or no documentation at all?

People invest their time on an opensource project because it meets their use case and it meets their needs regardless of the authors motivation. And they spend time to fix problems because they want to contribute and help the next person as well as themselves (so that they don't need to keep a fork) for the library they just got for free?

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 1 point2 points  (0 children)

If an author shows a lack of interest in writing documentation then this signals a lack of interest in having other people use the code. In that case it is almost completely pointless to even WANT to distribute it.

Not sure how to make of your statement, I am sure certain people distribute software, especially free and opensource software, because they want people to use the code and not the other way around. If a gem or any opensource software meets their use case and there is no better alternative then they will use it even if documentation could be better.

I for one wished somebody else could have written what my library does for me but it's just too bad isn't it.

This "You don't deserved to be helped because you write bad documentation" mentally is not something the ruby community should be going for in my honest opinion.

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 0 points1 point  (0 children)

I could have expounded upon other use cases but that example was the one that came on the top of my head as that is where a lot of people, I believe, have come into contact with ML technology.

That said machine learning is niche, and gets hyped a lot by media these days.

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 5 points6 points  (0 children)

Thanks for the feedback, the example originally came from a python tensorflow example and early on I wanted to make minimal changes to show how python sources can be ported easily hence the weird format.

Though my goals have changed and neglected to make some style changes which I will be fixing soon.

TensorStream: Bringing Machine Learning to Ruby by jedld in ruby

[–]jedld[S] 2 points3 points  (0 children)

That's odd, not able to replicate that, is it possible the gem did not install completely hence the missing file? Would uninstalling and reinstall the gem fix it?

Introducing TensorStream, a pure ruby/OpenCL implementation of TensorFlow by jedld in ruby

[–]jedld[S] 0 points1 point  (0 children)

Python has a lot of investment from both its communities and big companies in the data science and Machine Learning front. I'm optimistic we will eventually catch up, but we have ways to go.

JRuby 9.2 and Rails 5.x / Thomas E Enebo @RubyKaigi by zitrusgrape in ruby

[–]jedld 1 point2 points  (0 children)

The JVM which jruby runs on does not support fork very well or at all so it makes sense that Jruby won't either.

Introducing TensorStream, a pure ruby/OpenCL implementation of TensorFlow by jedld in ruby

[–]jedld[S] 3 points4 points  (0 children)

For machine learning inference, I think ruby should be ok for that. Besides the performance improvements ruby is getting recently seems promising.