#SPMD
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Artfight Attack for my friend Ceph, of her Super Pokemon Mystery Dungeon team!!! I'm. So proud of how this one came out and I had such a joy drawing this cause Super is literally my favorite game in the continent and I. AHHHHH. improvement. EHEHEHE.
#pokemon#pmd#pokemon mystery dungeon#pkmn#artfight#Vulpix#riolu#super Pokemon mystery dungeon#super mystery dungeon#spmd#artfight 2023#digital art#I'm literally so proud of it I juggled three light sources???#the posing looks fine???#i know it's no mona Lisa but i think it's the best thing I've ever drawn and that makes me so so happy ehehehe#POKEMON MYSTERY DUNGEON MY BELOVED#pmd ocs#pokemon mystery dungeon ocs#Pokemon super mystery dungeon#psmd
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Returned to an old playthough of Blaze Black... really like the snivy line
Very balanced Elite four squad
#pokemon#scribbles#nothing complicated im still so rusty....#and i keep just playing games instead...#also i played spmd its very good i thought it wasnt gonna be that great but nah i might 100% it#i am. of course. playing as a snivy.#also i KNOW its not actually ears but consider this: kitty
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having the absolute worst idea of my lifetime (thinking about spmd)
^ guys who have problems
#usually i make rational decisions but when all else is on the table#i will turn to the worst side possible if it means helping anyone else#pokemon#my art#pokemon mystery dungeon#i contemplated not taggign this but i think its funnier if i tag it all the time#pmd#idk what i tag stuff w already#luwel#mike#keith#im not species tagging this time. not this time . anyways i think its funny just.#the idea of ppl seeing the first image and going “oh its just because theyre both nuzleaf right. nothing else”#no. unfortunately no. every day i wake up and realising i recreated spmd nuzleaf but i made him british instead and its so funny to me#like in so many different ways. this is just like every time i tried to do smth with tepopo and i realised i was just remaking giroro but o#but orange instead. i cant help it#anyways i love firing my laser beam towards my ocs that makes them go#this part isnt related to psmd at all i just think luwels a bit fucked up. in many ways
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When will Pokemon Mystery Dungeon return from the war...
#dumb stuff#pokemon#pmd#pokemon mystery dungeon#last game was DX and that was 3 years ago#SPMD was the last non-remake which was in 2015#take me back to pokemon isekai land...
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I get the impression that super wasn’t as well liked as, say, explorers, and like I GET it from a mechanical standpoint but also the plot is so fucking good actually. I love that your presumably adult human ass is sent to Pokémon kindergarten. I fucking ADORE [redacted ending bit about your partner]
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I think the funny thing about forcing Murderdock to play the part of the hero is how much he would hate it and that’s why I adore the fact that Murderdock is a valid name in Pokémon
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GOD, i forgot how good the legendary beasts theme is 😫💦
#Gui plays Pokemon HGSS#raikou's theme especially fucks#honestly even the crystal version was my favorite song in the series until the frontier brain theme in emerald and the battle arcade theme#i don't like entei's version of the theme as much but the other two + the crystal version are fucking great#it's ok entei you got a fucking awesome theme in spmd i forgive you for your musical crimes
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So what do you think of the 2013-2020 mystery dungeon games? Personally, I think the stories for the 2013-2015- ones were better than rescue team and explores and just better written. Btw, I just wanted to ask about something other than Rejuv for once.
I don't know MD games down by the year, but I loved up to sky. Liked Infinity but that game was. not good. I hear SPMD is REALLY good but I lost interest due to the reallllly long school segment in the beginning that wasn't very interesting.
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Ultra Ball and Razor Leaf. attacks you attacks you attacks y
whupeeeeee! i am under attack! yippeeeeee!
Ultra Ball - my favorite pseudo legendaries.... that's what Dragonite and Hydreigon are to me! like they feel too cool to just be on your team, like they're literally Dragons. like not just lizard pokemon of the dragon typing variety, that is a Dragon
Razor Leaf - oh i love grass pokemon SOso much dude. there's leafeon (i still wish it's shiny form looked like autumn leaves),
breloom with it's awesome mushroom hat and how much it carried my team in pokewilds,
sunkern for its intense expressions in SPMD,
snivy and bulbasaur my beloved grass starter friends,
my friend my beloved friend and comrade, sewaddle.
and the class, the funky, the formidable; maractus.
if i was a pokemon i might just be a grass type. i would like photosynthesizing i think
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Benefits of PyTorch XLA: Training Deep Learning Models
PyTorch XLA
Due of its flexibility, deep learning practitioners and researchers use PyTorch. Google produced XLA, a compiler to optimise linear algebra computations, which underpin deep learning models. Combining the advantages of XLA’s compiler performance with PyTorch’s user interface and environment makes PyTorch/XLA the best of both worlds.
This week, they are thrilled to release PyTorch/XLA 2.3. Even more enhancements to productivity, efficiency, and usability are included in the 2.3 release.
Why XLA/PyTorch?
Here’s a quick summary of the benefits of PyTorch XLA for model training, fine-tuning, and serving before they go into the release revisions. Key benefits of PyTorch and XLA together are as follows:
Simple Performance: With the XLA compiler, you may achieve notable and simple performance gains without sacrificing PyTorch’s user-friendly, pythonic flow. For instance, PyTorch XLA lowers the cost of serving to $0.25 per million tokens while optimising the Gemma and Llama 2 7B models, generating a throughput of 5000 tokens/second.
Benefits of the ecosystem: Easily utilise PyTorch’s vast resources, such as its enormous community, tools, and pretrained models.
These advantages highlight PyTorch/XLA’s worth. Lightricks provides the following comments regarding their use of PyTorch/XLA 2.2.
Google TPU v4
“In comparison to TPU v4, Lightricks has achieved an amazing 2.5X speedup in training Google text-to-image and text-to-video models by utilising Google Cloud’s TPU v5p. We’ve successfully solved memory bottlenecks with the integration of PyTorch XLA’s gradient checkpointing, which has enhanced memory performance and speed. Furthermore, autocasting to bf16 has offered vital flexibility, enabling specific regions of Google’s graph to function on fp32 and enhancing the performance of their model.
PyTorch XLA 2.2’s XLA cache function is without a doubt its best feature; it has eliminated compilation waits, which has allowed us to save a tonne of development time. These developments have greatly improved video uniformity in addition to streamlining their development process and speeding up iterations. With LTX Studio demonstrating these technological advancements, this progress is essential to maintaining Lightricks’ leadership position in the generative AI industry.
The 2.3 release includes GPUs, distributed training, and developer experience
PyTorch XLA 2.3 offers significant improvements over PyTorchXLA 2.2 and brings us up to date with the PyTorch Foundation’s 2.3 release from earlier this week. This is what to anticipat
Improvements in distributed training
Scaling huge models is made possible using SPMD’s support for Fully Sharded Data Parallel (FSDP). Compiler optimisations are integrated into the new Single Programme, Multiple Data (SPMD) implementation in 2.3 to enable faster, more effective FSDP.
Pallas integration: PyTorch XLA + Pallas allows you to develop custom kernels tuned for TPUs, giving you the most control.
More fluid growth
Auto-sharding using SPMD: SPMD distributes models automatically among devices. This procedure is made much simpler by auto-sharding, which does away with the necessity for manual tensor distribution. This functionality, which supports XLA:TPU and single-host training, is experimental as of this release.
With distributed checkpointing, lengthy training sessions are less dangerous. Asynchronous checkpointing safeguards against any hardware failures by saving your work in the background.
Hi there, graphics processing units
With the addition of GPU support for SPMD XLA, they have expanded the advantages of SPMD parallelization to GPUs, facilitating scaling, particularly with respect to big models or datasets.
Get your upgrade planned now
PyTorch XLA is still developing, making it easier to create and implement strong deep learning models. The 2.3 version has a strong emphasis on expanded GPU support, enhanced distributed training, and a more seamless development environment. PyTorch XLA 2.3 is a worthwhile exploration if you’re looking for performance optimisation within the PyTorch ecosystem!
The AI Hyper computer architecture, which maximises AI training, fine-tuning, and serving performance end-to-end at every tier of the stack, also incorporates PyTorch/XLA nicely.
Future work for PyTorch/XLA could focus on the following areas
Enhanced support for GPUs
Better GPU support is anticipated in the future, even if PyTorch XLA currently gives TPUs priority. A formal, multi-purpose build, better alignment between PyTorch XLA and the main PyTorch API, and possibly combining XLA support into the official PyTorch package are some examples of this. Improved GPU usability and documentation would also be beneficial.
Managing dynamic graphs
When dealing with very dynamic graphs, where the computational pattern is constantly changing, PyTorch XLA may not be able to keep up. Prospective developments could encompass methods for diminishing the graph’s space of variation or devising strategies for more effectively optimising these dynamic situations.
Gains in performance
It is anticipated that XLA:GPU will see optimisations to get its performance closer to that of XLA:TPU. This would increase PyTorch XLA’s appeal as a deep learning solution for a larger variety of jobs.
Integration with cloud platforms
Docker images and other tools that facilitate the usage of PyTorch XLA on cloud service providers’ platforms are probably going to be produced in the future. Developers will find it easier to utilise PyTorchXLA’s cloud capabilities as a result.
FAQS
What is PyTorch XLA
PyTorch XLA fills the void between the robust compiler built for deep learning workloads, XLA, and the user-friendly PyTorch deep learning framework. With this combination, you can take use of the user-friendly syntax of PyTorch and achieve notable performance gains by utilising XLA optimisations.
What are some of the benefits of PyTorch XLA?
Faster Training and Inference:Training and inference times can be greatly shortened by XLA optimisations.
cheaper Training expenses: On platforms like Google Cloud TPUs, faster training times equate to cheaper expenses.
Memory Efficiency: During training, memory bottlenecks can be addressed with the use of techniques such as gradient checkpointing.
Read more on govindhtech.com
#GPU#gpusuport#pytorchxla#generativeai#TPU#GoogleCloud#news#technews#technology#technologynews#govindhtech
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(Mobile user almost exclusively!)
Hi there!
Mun's name is Catherine.
Mun is Cis, She/Her.
Mun is an adult, mun is EST-but usually a nightowl.
Mun can dissapear for long periods of time, then do a bunch of stuff at once.
It's part of her ADHD! 😅
This is a sort of Pokéblog so Lola, my Umbreon/Latias OC can talk to others!
PFP is from @/holydramon and @/scrub-slots.
Used to use a free base from Paddedveepaws on Deviantart- still use it for Youtube, but I prefer Roseate's art for Lola! 😁
Header image is from Super Pokémon Mystery Dungeon- Xerneas's Tree of Life.
There's a backstory from Facebook years in the making, but other than that, no story to be heard from here!
Not here to make content, and mun will come on every once in a great while, but others can talk to Lola and co if they wish!
Or she hyperfocusses and keeps checking for new stuff.
I created Lola in 2013 for Facebook after seeing Facebook pages, and RP profiles.
Wanting to try it, I created a few pages/RP profiles.
They're still up, but I don't do anything with them either! 😅
(Facebook kept taking the RP proflies down, so I abandoned them...)
After looking at Pokéblogs, mostly of the ask variety, and of the comic/text based blogs, I wanted to try a hand at one.
Finally got the courage to make one in the beginning of 2024!
I dunno exactly what I'm doing, but I wanna try it out, at least a bare bones kinda thing
I have four other blogs
@coatlscoatlseverywhere - Main blog, asks will come from here. Flight Rising centered
@clanofmikiwing - Flight Rising ask blog
@catofaces- Secondary blog for everything not Flight Rising
@spiritexplosion - Hisuian Typhlosion Ask blog like this one
More info about me is scattered between blogs, mostly the 1st and the 3rd.
Linktr.ee
Rules Refs Family lore (text)
Lore under cut
Lola is the same age as mun- 28 currently!
March 22 is her birthday- same as mun!
Same orientation as well- Ace, Bi or Lesbian
-She's afraid of the dark- even being part dark type, go figure!
-She doesn't like loud noises, especially sudden ones
-She's wary of those of the Electric type/those that have Electric moves, and will scamper off if not involved
-She's afraid of spider mons, and is not a big fan of snake mons- though the Snivy line's cool!
-She's got shiny Latias wings, and can fly, but chooses to hover close to the ground because of fear of heights
No one knows where the Latias DNA came from, as neither of her parents possess such DNA, maybe Arceus did something to her Eevee egg?
Or kidnapped by Team Flare/Rocket, they did something, and then either returned her, or she escaped- maybe hence all the fears???
-Her and her family live in a BIG tree, deep in the forest near Geosenge town in the Kalos region.- Think Xerneas's tree- hence the header image being the SPMD Tree of life.
-There was a hotel on Facebook, and portals to other worlds even deeper in, dunno if keeping it here.
#pokemon#pokémon#umbreon#latias#umbreon hybrid#hybrid#hybrid pokemon#shiny pokemon#shiny umbreon#shiny latias#pokeblogging#pokemon ask blog#ask blog#ask us#ask me#pokemon ask#pokeblr#poke ask blog#ask me anything#send asks
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Parallel Computing Project
Students should form a group of up to 4 students that will work on choosing a topic (some suggestions appear below). Most commonly, the project should involve developing a parallel program, either for a shared-memory platform, a distributed memory platform, or a massively parallel SPMD platform such as a GPU. Feel free to propose your own project; we are available to discuss any ideas you…
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so like, I got attached to the Nuzleaf character in spmd, but never finished the game because it just wasn't fun for me. that man had solid 'dad :)' vibes. loved him.
so could you imagine my reaction finding out years after originally playing it, thinking about it again, watching a video on it, and finding out Nuzleaf betrays the player?? i was heartbroken without even playing the game.
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Okay putting something related to that poll under the cut
Nuzleaf deliberately putting the spmd protag - who he MUST know is probably an adult - in the pokemon equivalent of kindergarten kills me whenever I remember it and I’m so glad it was on there because I was really hoping it was
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Remember how SPMD made it so the quiz you took wasn’t your permanent choice and if you didn’t like what you got you could pick whoever you wanted. I need that for this game.
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