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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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Telegram android theming variable guide

@Theming_variable_guide · Post #84 · 07/10/2022, 10:49 AM

#P_G SEARCHING IN MAIN WINDOW Important, these variables also change many other areas! 👉Info if the color does not change ➖➖➖ 👉Post 4⃣ | 5⃣ | 6⃣ | 7⃣ @skayeee ➖➖➖ 1⃣ #ytext2 windowBackgroundWhiteGrayText2 2⃣ #tsea actionBarDefaultSearch 3⃣ #Lcu chat_messagePanelCursor 4⃣ #dbl / #r_b avatar_backgroundBlue 5⃣ #nbl / #ar_a avatar_actionBarIconBlue 6⃣ #e_s groupcreate_spanBackground 7⃣ #bla / #ebla windowBackgroundWhiteBlackText 8⃣ #ar_t avatar_text 9⃣ #s_n chats_name 1⃣0⃣ #ytext3 windowBackgroundWhiteGrayText3 1⃣1⃣ #eText4 WindowBackgroundWhiteBlueText4 1⃣2⃣ #yse graySection 1⃣3⃣ #y_g key_graySectionText 1⃣4⃣ #div divider