前段时间一直被MajdataPlay的外键输入问题困扰：有玩家反映majplay会无征兆地出现拖判和吃音，但是内屏一切正常 因为我是第一次接触游戏开发，IO这方面也完全没经验 一开始我和bb本怀疑是线程调度的问题，即：IO线程时间片被其他线程挤占了，导致IO线程无法及时处理HID设备回报。为了验证这个猜想，我们尝试提高了IO线程的优先级，照旧 接下来我怀疑是我那套框架有问题：majplay是根据上一帧与这一帧的按键状态判断按键是不是"click"。为此我重写了这部分的实现，改进了IO线程与主线程之间的交互，问题照旧....... 到这里我已经怀疑这不是majplay的锅：IO线程没有任何异常，IO线程与主线程的交互没有问题，Note判定逻辑也没有问题，那就是设备确实没有回报给majplay或者设备发过来的回报中按键确实没有按下，但是大佬说hdd没有这种问题.....（人已经快崩溃了，这完全看不透也摸不着，因为我用单片机模拟玩家打高速纵连是完全没有问题的，我在家里用手台测试也没有问题） 到最后，bb本灵光一闪，说有没有可能是led刷新率过高，把按键控制板干爆炸了？我们让大佬把led刷新间隔从16ms改成100ms，吃音问题瞬间没有了，无语了 。。。。。。。。。。。。。。。。。。。。 adx是一个控制板同时管理按键和led，为什么我没有遇到吃音问题呢，因为我的手台不是adx的... #dev
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搜索 #dl
@repo_science · Post #4131 · 2024/05/18 21:06
#DL 📱 Zeus New Pytorch Ecosystem Tool Zeus is an open source toolkit for measuring and optimizing power consumption of deep learning workloads. 🖥Github ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@amneumarkt · Post #706 · 2025/11/21 07:53
#dl Introducing more symmetries in attention https://github.com/NVIDIA/torch-harmonics https://neurips.cc/virtual/2025/loc/san-diego/poster/117783
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@amneumarkt · Post #691 · 2025/10/05 07:41
#dl Park, Chanwook, Sourav Saha, Jiachen Guo, Hantao Zhang, Xiaoyu Xie, Miguel A. Bessa, Dong Qian, et al. 2025. “Unifying Machine Learning and Interpolation Theory via Interpolating Neural Networks.” Nature Communications 16 (1): 1–12. https://www.nature.com/articles/s41467-025-63790-8
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@amneumarkt · Post #683 · 2025/06/28 07:04
#dl A few cool ideas in this model. Introducing Gemma 3n: The developer guide - Google Developers Blog https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/
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@amneumarkt · Post #681 · 2025/06/14 08:43
#dl So tensorflow and jax are deprecated in the transformers package. https://github.com/huggingface/transformers/pull/38758
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@amneumarkt · Post #662 · 2025/02/21 07:42
#dl Sure, nobody uses it anyways.
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@amneumarkt · Post #625 · 2024/10/03 21:31
#dl PyTorch Native Architecture Optimization: torchao | PyTorch https://pytorch.org/blog/pytorch-native-architecture-optimization/
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@amneumarkt · Post #624 · 2024/10/03 18:07
#dl https://soumith.ch/blog/2024-10-02-training-10k-scale.md.html
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@amneumarkt · Post #602 · 2024/07/20 05:48
#dl There is this new lib called scale. One could compile CUDA code to use it on AMD GPU. https://docs.scale-lang.com/manual/how-to-use/ I don't know who is more pissed off, NVidia or AMD.
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@amneumarkt · Post #556 · 2024/03/16 09:09
#dl This repo is really nice. yuanchenyang/smalldiffusion: Simple and readable code for training and sampling from diffusion models https://github.com/yuanchenyang/smalldiffusion
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@amneumarkt · Post #506 · 2023/11/13 08:30
#dl Google & USC benchmarked a prompt based forecasting method, and the results are amazing. Cao D, Jia F, Arik SO, Pfister T, Zheng Y, Ye W, et al. TEMPO: Prompt-based Generative Pre-trained Transformer for time series forecasting. arXiv [cs.LG]. 2023. Available: http://arxiv.org/abs/2310.04948
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@amneumarkt · Post #484 · 2023/06/12 06:13
#dl https://twitter.com/armin_kekic/status/1667181047480479751?s=20
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