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Source channel @olddriverGDstudy · Post #58 · Mar 27

#风哥避孕套如何选择课堂笔记 都说了多少遍了,别TMD买冈本,冈本TMD容易破 油少,一样的价钱不会买旁边的相模啊,玻尿酸套子也有缺点虽然润但是时间久了干的快,沐浴乳我不挑但是有一个沐浴乳我拒绝 ,力士的薰衣草真的不好闻,冈本最大的问题就是他油放的少拿出来就干,要润就玻尿酸 然后赤尾有小储精囊跟无储精囊套 要感觉我都是用浮点的,浮点套女的感觉来得快,有些人就马眼有感觉的这么办 不过无储精囊适合做多了跟射精量不大的用要不然会破的,超市就买杜蕾斯 杰士邦 相模,淘宝你看中啥买啥,然后小科普 0.01都是聚氨酯套 其他的都是乳交套,名流的玻尿酸套还是不错的,套子我是不追求的薄的,套子主要是为了安全还有就是润,很多套子很润但是油少玻尿酸少了也不行,像玻尿酸套子虽然很润但是也干的快,捷古斯也算日本大牌了,蝴蝶套一个形容 牌子叫捷古斯 因为包装上印着蝴蝶,买啥套子真的是最啥太大追求就用JS的套子 干了就跟JS说换个套子 #知识#避孕套

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8 similar posts found

Search: #vulkan

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Android Broadcast

@android_broadcast · Post #8812 · 03/15/2025, 08:23 AM

Какие преимущества даст переход на Vulkan для отрисовки UI в Android? 🚀Производительность: Vulkan обеспечивает более эффективную работу с GPU и CPU, сокращая оверхед и повышая FPS. Лучше работает во множество поток 🔋Энергоэффективность: Снижение нагрузки на процессор ведёт к заметной экономии заряда аккумулятора. ⛏️Контроль и гибкость: Разработчики получают больше возможностей для тонкой настройки графического рендеринга и оптимизации приложений. ✅Кроссплатформенность: Vulkan поддерживается на многих платформах, что облегчает переносимость кода и улучшает совместимость приложений. Аналогичный переход сделала Apple, когда отказалась от OpenGL ES в iOS, заменив его на API Metal, которое призвано выполнять аналогичные функции, что и Vulkan. #android#vulkan

AzTV

@aztv_resmi · Post #44951 · 02/25/2026, 08:03 AM

🔴 Güclü partlayış baş verən palçıq vulkanından yeni görüntülər #AZTV#vulkan#palçıq

Android Broadcast

@android_broadcast · Post #8811 · 03/15/2025, 06:00 AM

‼️Vulkan станет основной технологий для рендеринга UI в Android Начиная, с Android 17 большая часть устройств перейдет на рендеринг UI с OpenGL ES на Vulkan, а поддержку OpenGL будет убрана и станет доступна через ANGLE для трансляции команд в Vulkan. #android#android17#vulkan#opengl

GitHub Trends

@githubtrending · Post #15604 · 04/06/2026, 11:30 AM

#java#minecraft#minecraft_mod#vulkan#vulkan_renderer VulkanMod is a Fabric mod that replaces Minecraft Java's old OpenGL renderer with a modern Vulkan 1.2 engine, cutting CPU overhead, boosting GPU performance, and adding features like Wayland support and chunk optimizations for much higher FPS and smoother gameplay. Install Fabric loader, download the .jar from Modrinth or CurseForge, and drop it in your .minecraft/mods folder to enjoy lag-free worlds and better hardware use right away—perfect for high-res packs or busy servers. https://github.com/xCollateral/VulkanMod

GitHub Trends

@githubtrending · Post #14810 · 06/08/2025, 02:00 PM

#rust#d3d12#gpu#hacktoberfest#metal#opengl#rust#vulkan#webgpu **wgpu** is a powerful graphics library for Rust that works on many platforms, including Windows, macOS, Linux, and the web. It supports various graphics APIs like Vulkan, Metal, and DirectX. This library is safe and portable, making it easy to create graphics and compute applications. Using **wgpu**, you can build fast and efficient graphics programs that run on different devices and browsers, which is beneficial for developers who want to create cross-platform applications. https://github.com/gfx-rs/wgpu

GitHub Trends

@githubtrending · Post #14766 · 05/30/2025, 12:30 PM

#cplusplus#best_practices#cpp#graphics#graphics_programming#khronos#tutorials#vulkan#vulkan_api#vulkan_samples Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences. https://github.com/KhronosGroup/Vulkan-Samples

GitHub Trends

@githubtrending · Post #14659 · 05/01/2025, 03:30 PM

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN