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20:46:02:305 | RL | INFO | +N/A | Main - RocketLauncher v1.2.0.1 (www.rlauncher.com)20:46:02:372 | RL | WARNING | +63 | Main - Logging level is debug or higher and will cause slowdowns to RocketLauncher's performance. When troubleshooting is finished, please lower logging level to restore proper performance.20:46:02:658 | RL | DEBUG | +281 | Registry.Read - Reading from Registry : RootKey=HKEY_LOCAL_MACHINE, SubKey=System\CurrentControlSet\Control\Windows, ValueName=ErrorMode,RegistryVersion=3220:46:02:658 | RL | DEBUG | +0 | Registry.Read - Registry Read finished, returning 020:46:02:659 | RL | INFO | +0 | Main - System Specs: RocketLauncher Dir: D:\Arcade\RocketLauncher RocketLauncher is: 32-bit OS: Microsoft Windows 10 Home SKU: Windows 8 Total Memory: 8107.97 MB Free Memory: 4038.71 MB Used Memory: 4069.266 MB SystemType: 64-bit Physical Processors: 1 Logical Processors: 4 GPU 1 Name: NVIDIA GeForce 940A GPU 1 RAM: -2048.00 MB GPU 1 Driver Version: 10.18.13.5910 GPU 2 Name: Intel(R) HD Graphics 5500 GPU 2 RAM: 1024.00 MB GPU 2 Driver Version: 20.19.15.4835 Sound 1 Device: Realtek High Definition Audio Sound 1 Status: Enabled Sound 2 Device: NVIDIA Virtual Audio Device (Wave Extensible) (WDM) Sound 2 Status: Enabled OS Language: English_United_States System Locale: en-US Formats Locale: en-US Windows UI Language: en-US Text Encoding: Windows-1252 OS Admin Status: No RL Compatibility Flags: Latest .Net Version: v4.0.30319 Monitor #1 (\\.\DISPLAY1): 1920x1080 (1920x1040 work) [32bit] [60hz] [Landscape] (Primary) Current AHK Desktop Width: 1920 Current AHK Desktop Height: 1080 Monitor #1 DPI: 100 ErrorMode: 0 AutoHotkey Path: AHK Version: 1.1.13.00 Unicode: No20:46:02:660 | RL | INFO | +0 | CheckFile - Checking if D:\Arcade\RocketLauncher\RocketLauncher.exe exists20:46:02:664 | RL | DEBUG | +0 | CheckFile - Attributes: FileDescription RocketLauncher FileVersion 1.2.0.1 LegalCopyright �2016 RocketLauncher ProductName djvj's one swell guy! ProductVersion 1.2.0.1 CompanyName Your favorite Front End companion! Visit us @ www.rlauncher.com File Size: 2195456 bytes Created: 11/6/2016 - 4:32:08 AM Modified: 5/7/2020 - 3:03:43 PM20:46:02:666 | RL | INFO | +15 | Main - Raw CLI received: "-s MAME -r mspacman -f D:\Arcade\HyperSpin\HyperSpin_1.5.1\HyperSpin.exe -p HyperSpin -c 1 -o 1"20:46:02:669 | RL | TRACE | +0 | File.__New - Creating new file object of: "D:\Arcade\RocketLauncher\Module Extensions\RocketLauncher.dll"20:46:02:673 | RL | INFO | +0 | File.CheckFile - Download GPU-Z 2.64.0 Date released: 27 Feb 2025 (2 weeks ago) Download GPU-Z 2.63.0 Date released: 21 Feb 2025 (3 weeks ago) Download GPU-Z 2.62.0 Date released: 03 Feb 2025 (one month ago) Download GPU-Z 2.61.0 Date released: 17 Dec 2024 (3 months ago) Download GPU-Z 2.60.0 Date released: 17 Aug 2024 (7 months ago) Download GPU-Z 2.59.0 Date released: 20 Apr 2024 (11 months ago) Download GPU-Z 2.58.0 Date released: 06 Apr 2024 (11 months ago) Download GPU-Z 2.57.0 Date released: 21 Jan 2024 (one year ago) Download GPU-Z 2.56.0 Date released: 29 Nov 2023 (one year ago) Download GPU-Z 2.55.0 Date released: 13 Sep 2023 (one year ago) Download GPU-Z 2.54.0 Date released: 21 Jun 2023 (one year ago) Download GPU-Z 2.53.0 Date released: 18 Apr 2023 (one year ago) Download GPU-Z 2.52.0 Date released: 23 Dec 2022 (2 years ago) Download GPU-Z 2.51.0 Date released: 19 Nov 2022 (2 years ago) Download GPU-Z 2.50.0 Date released: 02 Oct 2022 (2 years ago) Download GPU-Z 2.49.0 Date released: 20 Sep 2022 (2 years ago) Download GPU-Z 2.48.0 Date released: 08 Sep 2022 (3 years ago) Download GPU-Z 2.47.0 Date released: 13 Jul 2022 (3 years ago) Download GPU-Z 2.46.0 Date released: 06 May 2022 (3 years ago) Download GPU-Z 2.45.0 Date released: 25 Mar 2022 (3 years ago)

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Hi, I am having the same issue described here: summary: Although torch is able to find CUDA, and nothing else is using the GPU, I get the error “all CUDA-capable devices are busy or unavailable”Windows 10, Insider Build 20226NVIDIA driver 460.20WSL 2 kernel version 4.19.128Python:import torchtorch.cuda.is_available()> Truetorch.randn(5)> tensor([-2.6408, -1.0831, -1.6984, 0.4742, -0.5909])torch.randn(5).to(2)> Traceback (most recent call last):> File “”, line 1, in> RuntimeError: CUDA error: all CUDA-capable devices are busy or unavailabledeviceQuery:./deviceQuery./deviceQuery Starting…CUDA Device Query (Runtime API) version (CUDART static linking)Detected 1 CUDA Capable device(s)Device 0: “GeForce RTX 2080 with Max-Q Design”CUDA Driver Version / Runtime Version 11.2 / 11.0CUDA Capability Major/Minor version number: 7.5Total amount of global memory: 8192 MBytes (8589934592 bytes)(46) Multiprocessors, ( 64) CUDA Cores/MP: 2944 CUDA CoresGPU Max Clock rate: 1095 MHz (1.10 GHz)Memory Clock rate: 6001 MhzMemory Bus Width: 256-bitL2 Cache Size: 4194304 bytesMaximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layersMaximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layersTotal amount of constant memory: 65536 bytesTotal amount of shared memory per block: 49152 bytesTotal number of registers available per block: 65536Warp size: 32Maximum number of threads per multiprocessor: 1024Maximum number of threads per block: 1024Max dimension size of a thread block (x,y,z): (1024, 1024, 64)Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)Maximum memory pitch: 2147483647 bytesTexture alignment: 512 bytesConcurrent copy and kernel execution: Yes with 2 copy engine(s)Run time limit on kernels: YesIntegrated GPU sharing Host Memory: NoSupport host page-locked memory mapping: YesAlignment requirement for Surfaces: YesDevice has ECC support: DisabledDevice supports Unified Addressing (UVA): YesDevice supports Managed Memory: YesDevice supports Compute Preemption: YesSupports Cooperative Kernel Launch: YesSupports MultiDevice Co-op Kernel Launch: YesDevice PCI Domain ID / Bus ID / location ID: 0 / 1 / 0Compute Mode:deviceQuery, CUDA. D: Workloads winget-pkgs [master ≡ 0 ~1 -0 !] winget download -m . manifests t TechPowerUp GPU-Z 2.55.0 已找到 TechPowerUp GPU-Z [TechPowerUp.GPU-Z] 版本 2. GPU-Z 0 Builds. GPU-Z 0.6.7; GPU-Z 0.6.6; GPU-Z 0.6.5; GPU-Z 0.6.4; GPU-Z 0.6.3; OldVersion.com provides free software downloads for old versions of programs

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This example shows how to use GPU-enabled MATLAB® functions to compute a well-known mathematical construction: the Mandelbrot set. Check your GPU using the gpuDevice function.Define the parameters. The Mandelbrot algorithm iterates over a grid of real and imaginary parts. The following code defines the number of iterations, grid size, and grid limits.maxIterations = 500;gridSize = 1000;xlim = [-0.748766713922161, -0.748766707771757];ylim = [ 0.123640844894862, 0.123640851045266]; You can use the gpuArray function to transfer data to the GPU and create a gpuArray, or you can create an array directly on the GPU. gpuArray provides GPU versions of many functions that you can use to create data arrays, such as linspace. For more information, see Create GPU Arrays Directly. x = gpuArray.linspace(xlim(1),xlim(2),gridSize);y = gpuArray.linspace(ylim(1),ylim(2),gridSize);whos x y Name Size Bytes Class Attributes x 1x1000 8000 gpuArray y 1x1000 8000 gpuArray Many MATLAB functions support gpuArrays. When you supply a gpuArray argument to any GPU-enabled function, the function runs automatically on the GPU. For more information, see Run MATLAB Functions on a GPU. Create a complex grid for the algorithm, and create the array count for the results. To create this array directly on the GPU, use the ones function, and specify 'gpuArray'.[xGrid,yGrid] = meshgrid(x,y);z0 = complex(xGrid,yGrid);count = ones(size(z0),'gpuArray');The following code implements the Mandelbrot algorithm using GPU-enabled functions. Because the code uses gpuArrays, the calculations happen on the GPU.z = z0;for n = 0:maxIterations z = z.*z + z0; inside = abs(z) endcount = log(count);When computations are done, plot the results.imagesc(x,y,count)colormap([jet();flipud(jet());0 0 0]);axis off See AlsogpuArray