Сижу дома, а хотелось бы с Майки

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Сижу дома, а хотелось бы с Майки banner
Сижу дома, а хотелось бы с Майки

Сижу дома, а хотелось бы с Майки

@OnMainP

This site is garbage and I'm walking away now

Мир чевапчичи Katılım Kasım 2017
430 Takip Edilen59 Takipçiler
Сижу дома, а хотелось бы с Майки retweetledi
llm_enjoyer
llm_enjoyer@LLMenjoyer·
latent moe, jianlin su balancer, mamba 3, attention residuals, 500 hparam changes... when do we cross the line from "yolo run" to "schizo run"?
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Aritra 🤗
Aritra 🤗@ariG23498·
When you run a @PyTorch model on a GPU, the acutal work is executed through kernels. These are low-level, hardware-specific functions designed for GPUs (or other accelerators). If you profile a model, you'll see a sequence of kernel launches. Between these launches, the GPU can sit idle, waiting for the next operation. A key optimization goal is therefore to minimize gaps between kernel execution and keep the GPU fully utilized. One common approach is `torch.compile`, which fuses multiple operations into fewer kernels, reducing overhead and improving utilization. Another approach is to write custom kernels tailored to specific workfloads (e.g., optimized attention or fused ops). However, this comes with significant challenges: > requires deep expertise in kernels writing > installation hell > integration with the model is non-trivial To address this,@huggingface introduces the `kernels` library. With this one can: > build custom kernels (with the help of a template) > upload them to the Hub (like models or datasets) > integrate them to models with ease Let's take a look at how the transformers team use the kernels library to integrate it into the already existing models. (more in the thread)
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Haocheng Xi
Haocheng Xi@HaochengXiUCB·
𝗞-𝗺𝗲𝗮𝗻𝘀 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗚𝗣𝗨𝘀 𝗶𝘀𝗻’𝘁. That’s why we built Flash-KMeans — an IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. By attacking the memory bottlenecks directly, Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS — with the same exact algorithm, just engineered for today’s hardware. At the million-scale, Flash-KMeans can complete a k-means iteration in milliseconds. A classic algorithm — redesigned for modern GPUs. Paper: arxiv.org/abs/2603.09229 Code: github.com/svg-project/fl…
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bruh
bruh@bruhwtfLOl520·
I GOT THE 1 BILLION DAMAGE BUG LMFAOOOOOO
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Politics UK
Politics UK@PolitlcsUK·
🚨 NEW: X has now banned Grok from generating sexualised images of women and children after the UK made it illegal to create “non-consensual intimate” images However, it is still responding to requests to put men in bikinis or sexual positions
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Сижу дома, а хотелось бы с Майки retweetledi
mile
mile@nicksthame·
*leg kiss* 🦵🏻💋💓 GIMME KISS! 😋😬🥰😙 ... you're cold 🥶🫩🫠☺️ 😗 mwah!!!! 😽😽💋🎀💞🌸🍬🧸🧸💫🌊🌊🌊
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Pixel Updates
Pixel Updates@pixel_updates·
What new features would you like to see in Android 17?
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Men of Atlus | NSFW 3d gay art🔞
Sean and Ramon - think these two are just going to watch movies together? I don't think so. 📽️💪 "Home Movies Pt. 1" available now on Patreon/Fanbox in full 5 min version 😁
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月餅=Mooncake
月餅=Mooncake@geppei5959·
[I'm Brother...Part2] “When their storm-like brother left, a calm like the eye of a typhoon returned to them” 🅿️Site Updated prize for November!
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🔞💀HKeicHKiHK💀🔞
🔞💀HKeicHKiHK💀🔞@Its_a_ZombieHK·
Oi, quit yer gawkin', yah? lend a hand t' this old codger, will ya??
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Pop Crave
Pop Crave@PopCrave·
Snoop Dogg says he’s “scared to go to the movies” after watching ‘Lightyear’ with his grandson and seeing an LGBTQ+ couple: "I didn't come in for this s***. I just came to watch the goddamn movie.”
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WetSkeleton
WetSkeleton@skeleton_wet·
So i try bone wiggles addon in blender so i can make Bob have sexy bouncing tits but idk what i did wrong now he never came back...
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Соболь Любовь
Соболь Любовь@SobolLubov·
Так могут делать только террористы. И все, кто оправдывает это, — их пособники.
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Bukbird
Bukbird@bukbrid·
@OnMainP @serpentsmanager @SobolLubov Сколько домов в рф разрушено за 3.5 года полномасштабной войны? Сколько городов рф буквально стёрто с лица земли? Сравнить масштабы не желаешь?
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