Cuda toolkit vs cudtoolkit
Cuda toolkit vs cudtoolkit. If a sample has a third-party dependency that is available on the system, but is not installed, the sample will waive itself at build time. EDIT: When I checked where CUDA is installed: May 1, 2020 · If you want to actually compile and build CUDA code, you need to install a separate CUDA toolkit which contains all the the development components which conda deliberately omits from their distribution. Auto-completion, go to definition, find references, rename symbols, and more all seamlessly work for kernel functions the same as they do for C++ functions. Feb 1, 2011 · When an application compiled with cuBLASLt from CUDA Toolkit 12. 0_496. linux-64 v12. CUDA Documentation/Release Notes; MacOS Tools; Training; Sample Code; Forums; Archive of Previous CUDA Releases; FAQ; Open Source Packages; Submit a Bug; Tarball and Zi Aug 29, 2024 · Alternatively, you can configure your project always to build with the most recently installed version of the CUDA Toolkit. Installs all CUDA Toolkit and Driver packages. 0: Installs all CUDA Toolkit packages required to develop CUDA applications. CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). CUDA Compatibility. Apr 14, 2024 · Ayo, community and fellow developers. 40. 1; win-64 v12. so which is included in nvidia driver and used by cuda runtime api Nvidia driver includes driver kernel module and user libraries. Remains at version 12. CUDA applications built using CUDA Toolkit 9. And cuDNN is a Cuda Deep neural network library which is accelerated on GPU's. Jul 4, 2016 · Figure 1: Downloading the CUDA Toolkit from NVIDIA’s official website. Steps: Existing install of CUDA 9. This is the version that is used to compile CUDA code. In my opinion, the HPC SDK is more complete than the CUDA toolkit. Selected the option to “Open Samples” on the last page. Apr 28, 2021 · 注:CUDA Toolkit 完整和不完整的区别:在安装了CUDA Toolkit (Pytorch)后,只要系统上存在与当前的 cudatoolkit 所兼容的 Nvidia 驱动,则已经编译好的 CUDA 相关的程序就可以直接运行,不需要重新进行编译过程。 Nov 11, 2021 · When support of MS VS 2022 in CUDA Toolkit is planned? I have upgraded MS VS (to 2022 edition). Oct 3, 2022 · Release Notes The Release Notes for the CUDA Toolkit. 0 exist but the /usr/local/cuda symbolic link does not exist I don't think it's completely TensorFlow's fault. 0. With the CUDA Toolkit, you can develop, optimize and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. I am trying to install driver for NVIDIA graphics card and CUDA Toolkit. 0 or Earlier) or both. Sorry if I sound ridiculous, because I’m almost going crazy. These dependencies are listed below. In the future, when more CUDA Toolkit libraries are supported, CuPy will have a lighter maintenance overhead and have fewer wheels to release. 5) and CUDA Toolkit version. 1; noarch v12. Oct 27, 2021 · I had the same issue when trying to build Deepspeech, and solved it by reinstalling CUDA from the nvidia repository. Resources. And I have encounterd obstacles - it supports only VS 2019 and sample projects can not be loaded correctly. 7 is this a cuda_toolkit? when it have conflict with my cuda12. I know from the past that supporting a new version of Visual Studio is a big thing and takes a lot of time, but it would be great if you share something with the community. cuda-10. Right at the moment, GTX 1650 is a very new GPU, and so any driver that works with GTX 1650 will work with any currently available CUDA toolkit version. Suppose that many other things will not work… Sep 2, 2019 · (*) (Note for future readers: this doesn’t necessarily apply to you. The toolset version number may be specified by a field in CMAKE_GENERATOR_TOOLSET of the form cuda=8. Where X. We would like to show you a description here but the site won’t allow us. exe). 3 (1,2,3,4,5,6,7,8) Requires CUDA Toolkit >= 11. 04 and over the network, you have to enter the following commands: Oct 1, 2020 · The CUDA Runtime library was installed with NVIDIA CUDA Toolkit, and it is intended for high-level CUDA programming. 1 (November 2021), Versioned Online Documentation CUDA Toolkit 11. CUDA Toolkit is a collection of tools that allows developers to write code for NVIDIA GPUs. Sep 23, 2019 · Hello everyone. The Release Notes for the CUDA Toolkit. 0 for Windows, Linux, and Mac OSX operating systems. Jan 17, 2024 · In short, CUDA is a broad concept describing a method to compute using NVIDIA GPUs, while the CUDA Toolkit is a collection of specific software tools and libraries to implement this concept. If we install NVIDIA CUDA Toolkit, the NVIDIA driver will also be installed. Download CUDA Toolkit 11. If you are unable to load a project or build, copy the 4 files from here: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10. Is there any way to get CUDA to compile without a full Visual Studio IDE installed? Due to licensing I am unable to use VS Community edition and it will take to long to procure a VS Professional licence. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. Dec 9, 2021 · Guys, I mean from Nvidia, That isn’t very pleasant. 0 until an additional version of CUDA is installed. Here I use Ubuntu 22 x86_64 with nvidia-driver-545. The necessary components from the supported CUDA toolkit(s) are are already included with the HPC SDK. Oct 3, 2022 · CUDA Toolkit v11. 0) and the second one to give me the same string as what I'd get from examining nVIDIA's GPU driver kernel module, e. Aug 29, 2024 · Release Notes. 8. CUDA C++ Core Compute Libraries CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). 1; in the pytorch install command i saw this pytorch-cuda=11. ,cuda-tools, cuda-compiler, cuda Feb 22, 2024 · 2. Y would be a specific version of the CUDA Toolkit, such as /usr/local/cuda-9. Please note driver support for WindowsXP and Windows 32bit for Tesla Workstation products is limited to C2075 and older products only. run Followed by extracting the individual installation scripts into an installers directory: Feb 2, 2023 · The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. 1 Component Versions ; Component Name. First step in learning CUDA is installation of CUDA Toolkit (cuda_11. 0 installer Express Install Observed that the installer detected VS2017 but not VS2016, VS2015, etc (correct). 1; linux-aarch64 v12. 6. 5 or later. 4 was the first version to recognize and support MSVC 19. 1 which is installed through CUDA Toolkit 12. GPUを利用したディープラーニング環境を構築する際、これまではNvidia DriverやCUDAのバージョンを何となくで選んでいました… Nov 7, 2022 · [Leave empty to use the default]: Inconsistent CUDA toolkit path: /usr vs /usr/lib Asking for detailed CUDA configuration I have no idea how to tell the compiler which CUDA toolkit path to use, and even which is the correct path. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Jul 25, 2017 · It seems cuda driver is libcuda. 243-3. 0 to work with Visual Studio 2017 (15. Aug 22, 2020 · When I tried to know the different between both ways I found out that the source of nvidia-cuda-toolkit using the command. Oct 31, 2013 · Here is the link to it: CUDA sample code did not get installed through sudo apt-get install nvidia-cuda-toolkit; any solutions?. I have seen that information on follow page: CUDA - Wikipedia (GPUs supported). 4. 5 ships with the R495 driver, a new feature branch. 0 or C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9. 4 or newer. nvidia-smi, on the other hand, reports the maximum CUDA version that your GPU driver supports. 0 Release Notes. run file (or so it is stated in Nvidia's docs). cuda-tools-10. 0" (for CUDA 8. It has cuda-python installed along with tensorflow and other packages. Oct 3, 2018 · I’m having difficulty getting CUDA 10. 5 is available to download. I have some questions. CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages cuda. g. 1 Update 1 for Linux and Windows operating systems. 3, matrix multiply descriptors initialized using cublasLtMatmulDescInit() sometimes did not respect attribute changes using cublasLtMatmulDescSetAttribute(). CUDA Features Archive. Aug 29, 2024 · CUDA Quick Start Guide. Under CUDA C/C++, select Common, and set the CUDA Toolkit Custom Dir field to $(CUDA_PATH). Jun 8, 2020 · I am just starting to use a DGX station, and I am learning how to use docker containers. With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs. Next, we need to make the . 0 for Windows and Linux operating systems. Feb 9, 2021 · If you use the $(CUDA_PATH) environment variable to target a version of the CUDA Toolkit for building, and you perform an installation or uninstallation of any version of the CUDA Toolkit, you should validate that the $(CUDA_PATH) environment variable points to the correct installation directory of the CUDA Toolkit for your purposes. Part of the CUDA toolkit gets put into /usr/lib/cuda, part of it goes into /usr/lib/nvidia-cuda-toolkit, and some other bits go into /usr/bin. 13_win10. 1 because that's the version of the CUDA toolkit you have installed. The CUDA Runtime API exposes the functions. 0 Oct 24, 2019 · Version mismatch issues encountered at the installation of Tensorflow with local GPU support led me question the need for the coexistence on the same machine of both CUDA packages, namely: The NVIDIA CUDA Toolkit along with CUDNN and the In computing, CUDA (originally Compute Unified Device Architecture) is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs (). 2. nvcc --version reports the version of the CUDA toolkit you have installed. Install the NVIDIA GPU driver for your Linux distribution. Search Results. it gives me the following result that indicates that the source is the Ubuntu repositories. 10). CUDA Documentation/Release Notes; MacOS Tools; Training; Archive of Previous CUDA Releases; FAQ; Open Source Packages Aug 29, 2024 · Alternatively, you can configure your project always to build with the most recently installed version of the CUDA Toolkit. CUDA Documentation/Release Notes; MacOS Tools; Training; Sample Code; Forums; Archive of Previous CUDA Releases; FAQ; Open Source Packages; Submit a Bug; Tarball and Zi Jul 22, 2024 · Installation Prerequisites . CUDA 12. 若确认不存在nvcc和CUDA驱动,官网安装CUDA Driver和完整版的CUDA toolkit(部分博客说安装CUDA toolkit时会同时安装CUDA Driver,未验证) 3. First add a CUDA build customization to your project as above. 5. The CUDA Toolkit End User License Agreement applies to the NVIDIA CUDA Toolkit, the NVIDIA CUDA Samples, the NVIDIA Display Driver, NVIDIA Nsight tools (Visual Studio Edition), and the associated documentation on CUDA APIs, programming model and development tools. CUDA Compatibility For more information on CUDA compatibility, Jan 26, 2021 · I am trying to get a cuda 11 dev environment set up on windows. . The shared library name that we usually use for linking the CUDA program is libcudart. 4 (1,2,3,4,5) Runtime compilation such as the runtime fusion engines, and RNN require CUDA Toolkit 11. I see a lot of questions on the forum related to Visual Studio 2022 support. Supported Platforms. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA runtime for the Conda ecosystem. 6 for Linux and Windows operating systems. h. Download Verification Apr 26, 2022 · Now available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Jul 30, 2020 · The question is about the version lag of Pytorch cudatoolkit vs. 1\extras\visual_studio_integration\MSBuildExtensions Oct 20, 2021 · If you use the $(CUDA_PATH) environment variable to target a version of the CUDA Toolkit for building, and you perform an installation or uninstallation of any version of the CUDA Toolkit, you should validate that the $(CUDA_PATH) environment variable points to the correct installation directory of the CUDA Toolkit for your purposes. But DO NOT choose the “ cuda ”, “ cuda-12-x ”, or “ cuda-drivers ” meta-packages under WSL 2 as these packages will result in an attempt to install the Linux NVIDIA driver under WSL 2. 4, not CUDA 12. Note: It was definitely CUDA 12. This release is focused on enhancing the programming model and CUDA application speedup through new hardware capabilities. x are compatible with Turing as long as they are built to include kernels in either Volta-native cubin format (see Compatibility between Volta and Turing) or PTX format (see Applications Using CUDA Toolkit 8. cuda-toolkit-12-6. EULA. I was sort of expecting the first one to give me "8. Cuda toolkit is an SDK contains compiler, api, libs, docs, etc Resources. cudaRuntimeGetVersion() and cudaDriverGetVersion() (see detailed description here). Apr 5, 2019 · The issue is that CUDA 10. 5, that started allowing this. Apr 4, 2019 · After that, download and install CUDA toolkit 10. I would like to know what are their differences, and do I need to run the CUDA container every time I want to access the GPUs by docker run --gpus all nvidia/cuda:10. Could you delete the existing installations ,re-install cuda tool kit freshly (set the path for cuda file locations too) and let us know the result. 6 Downloaded and ran the CUDA 10. 7 to match pytorch? Aug 29, 2024 · Release Notes. Overview. 1 was released while VS 2019 was in preview, but VS changed the path where build customizations are installed during this time. 0 Note When multiple CUDA Toolkits are installed in the default location of a system (e. 下载CUDA版本小于等于nvcc --version的pytorch及其附带的CUDA toolkit(不完整版) Jan 12, 2022 · If you use the $(CUDA_PATH) environment variable to target a version of the CUDA Toolkit for building, and you perform an installation or uninstallation of any version of the CUDA Toolkit, you should validate that the $(CUDA_PATH) environment variable points to the correct installation directory of the CUDA Toolkit for your purposes. cuda-toolkit-10. 3 and older versions rejected MSVC 19. 40 (aka VS 2022 17. Introduction This guide covers the basic instructions needed to install CUDA and verify that a CUDA application can run on each supported platform. I have GeForce RTX 2060 (Notebooks). With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. Aug 29, 2024 · 1. Aug 4, 2020 · If you use the $(CUDA_PATH) environment variable to target a version of the CUDA Toolkit for building, and you perform an installation or uninstallation of any version of the CUDA Toolkit, you should validate that the $(CUDA_PATH) environment variable points to the correct installation directory of the CUDA Toolkit for your purposes. I have tried to run the following script to chec Apr 2, 2024 · On Windows 11 and using mamba/mininforge, I installed CUDA to a Python 3. As an example, if you want to install CUDA 11. This opened C Jul 6, 2019 · Handles upgrading to the next version of the cuda package when it’s released. Edit code productively with syntax highlighting and IntelliSense for CUDA code. Or it is automatically detected if a path to a standalone CUDA directory is specified in the form cuda=C:\path\to\cuda. 1; conda install To install this package run one of the following: conda install nvidia::cuda-toolkit Select Linux or Windows operating system and download CUDA Toolkit 11. Your mentioned link is the base for the question. 0-base nvidia-smi For example, if I would like to run Jun 3, 2022 · what’s the difference between Cuda and Cudatoolkit it should be the same version to be compatible with Deep learning APIs like tensorflow and pytorch ? i have Apr 18, 2024 · On Windows 11, after installing GPU drivers, is there a difference between manually downloading and installing the CUDA toolkit executables and installing via conda install -c nividia cuda-toolkit? I am asking because I am having some issues with the GPU in certain contexts. 6). Dynamic linking is supported in all cases. I found out there is dependency between Compute Capability (for my GPU it is 7. With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. 4 (February 2022), Versioned Online Documentation CUDA Toolkit 11. The CUDA 5 Installers include the CUDA Toolkit, SDK code samples, and developer drivers. Apr 24, 2023 · so i want to know if there any problem if my cuda version is 12. Tested config CUDA Python simplifies the CuPy build and allows for a faster and smaller memory footprint when importing the CuPy Python module. Jul 5, 2016 · Cuda is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). These instructions are intended to be used on a clean installation of a supported platform. I know CUDA is unable to install the visual studio Aug 31, 2022 · So I don’t need the toolkit repo at all normally? Since the CUDA driver is dependent on the specific device and installed OS, it must be downloaded and installed separately. NVIDIA recommends installing the driver by using the package manager for your distribution. But other packages like cudnn depend on the older cudatool… Looking in the nvidia channel on Conda, I see two different packages cuda-toolkit and cudatoolkit. Version Information. Then, right click on the project name and select Properties. If you are running configure. 2 update 2 or CUDA Toolkit 12. Jul 29, 2023 · 今回取り扱うNVIDIA CUDA Toolkit はディープラーニングを高速に行いたい時などに、NVIDIAのグラフィックスボードに仕事を丸投げするための便利グッズです。 AIイラスト関係の技術としても使えるので、要所要所で必要とされる場面が出てくるかもしれません。 Dec 30, 2021 · When support of MS VS 2022 in CUDA Toolkit is planned? I have upgraded MS VS (to 2022 edition). cuda-12-6. Download CUDA Toolkit 10. 9 environment using mamba install cuda-toolkit==12. 1. 40 requires CUDA 12. The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. 3 (November 2021), Versioned Online Documentation Aug 29, 2024 · The installation instructions for the CUDA Toolkit can be found in the CUDA Toolkit download page for each installer. If none is Mar 16, 2012 · As Jared mentions in a comment, from the command line: nvcc --version (or /usr/local/cuda/bin/nvcc --version) gives the CUDA compiler version (which matches the toolkit version). Oct 4, 2022 · NVIDIA announces the newest CUDA Toolkit software release, 11. cuDNN is a library of highly optimized functions for deep learning operations such as convolutions and matrix multiplications. 2) and a version of CUDA (11. We have MSVC 2019 build tools already for general C++ compilation. run file executable: $ chmod +x cuda_7. Some CUDA Samples rely on third-party applications and/or libraries, or features provided by the CUDA Toolkit and Driver, to either build or execute. 0 (October 2021), Versioned Online Documentation CUDA Toolkit 11. One big difference I have experienced is that the CUDA sample codes are missing when installing through apt-get; they will be obtained through the . The machine has crashed during training sessions, and none of the python packages (e. 2 (February 2022), Versioned Online Documentation CUDA Toolkit 11. Dec 12, 2022 · For more information, see CUDA Toolkit 12. x . They both have nvc, nvcc, and nvc++, but NVHPC has more features that Aug 1, 2024 · This column specifies whether the given cuDNN library can be statically linked against the CUDA toolkit for the given CUDA version. 1* - channel is conda-forge. CUDA Toolkit 12. 1; Deprecation of the NVIDIA Kepler driver; CUDA C++ (For more information, see Reducing Application Build Times Using CUDA C++ Compilation Aids) Nsight Compute/Systems tools; CUDA 11. Learn more Explore Teams Jul 29, 2020 · And since conda cannot use the "CUDA Toolkit", see How to run pytorch with NVIDIA "cuda toolkit" version instead of the official conda "cudatoolkit" version?, using "CUDA Toolkit" is not recommended either, which should mean the same for Tensorflow - and it does, see the last bullet point. CUDA applications can immediately benefit from increased streaming multiprocessor (SM) counts, higher memory bandwidth, and higher clock rates in new GPU families. Remains at version 10. No, you do not need to separately install the CUDA toolkit. In your case, nvcc --version is reporting CUDA 10. 0: Installs all CUDA Toolkit and Driver packages. The nvidia-cuda-toolkit package strangely spreads its libraries and executables throughout the file system. What is CUDA Toolkit and cuDNN? CUDA Toolkit and cuDNN are two essential software libraries for deep learning. CUDA Compatibility describes the use of new CUDA toolkit components on systems with older base installations. ) May 22, 2024 · CUDA 12. NVIDIA cuda toolkit (mind the space) for the times when there is a version lag. 1, open VS and go to File-New-Project and choose to create a CUDA project as below: Share Follow CUDA on WSL driver update; CUDA Python GA; GPUDirect Storage (GDS) release v1. MSVC 19. When activating the environment, I get a bun Table 1. 2 and VS2017 Updated Visual Studio 2017 to version 15. When I wanted to use CUDA, I was faced with two choices, CUDA Toolkit or NVHPC SDK. CUDA Documentation/Release Notes; MacOS Tools; Training; Sample Code; Forums; Archive of Previous CUDA Releases; FAQ; Open Source Packages; Submit a Bug; Tarball and Zi Jul 31, 2024 · CUDA Compatibility. The Visual Studio Generators for VS 2010 and above support using a CUDA toolset provided by a CUDA Toolkit. 2 for Linux and Windows operating systems. CUDA Features Archive The list of CUDA features by release. 2 for Windows, Linux, and Mac OSX operating systems. 0 and /usr/local/cuda-10. 2 update 1 or earlier runs with cuBLASLt from CUDA Toolkit 12. The NVIDIA CUDA Toolkit provides a development environment for creating high performance GPU-accelerated applications. nvidia-cuda-toolkit: Installed: 10. Thanks. Installs all CUDA Toolkit packages required to develop CUDA Resources. 3 on Ubuntu 20. Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support. Does not include the driver. 1. May 1, 2024 · はじめに. The CUDA Toolkit installs the CUDA driver and tools needed to create, build and run a CUDA application as well as libraries, header files, CUDA samples source code, and other resources. apt-cache policy nvidia-cuda-toolkit. Something that I found is Aug 20, 2022 · I have created a python virtual environment in the current working directory. Jul 2, 2021 · We have a project that uses both OpenACC and native CUDA, so we use a build environment with the NVIDIA HPC compilers (here 21. Users will benefit from a faster CUDA runtime! Download CUDA Toolkit 11. , both /usr/local/cuda-9. py , Please provide cuda file location during that. 创建虚拟环境,具体流程请自行百度。 5. The list of CUDA features by release. Applications Using CUDA Toolkit 9. 1 Update 1 Downloads | NVIDIA Developer; do i need to uninstall my CUDA and install cuda11. CUDA Toolkit 11. 18_linux. Handles upgrading to the next version of the cuda package when it’s released. CUDA 11. For the full CUDA Toolkit with a compiler Aug 29, 2024 · The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. 5 until an additional version of CUDA is installed. NVIDIA Hopper and NVIDIA Ada Lovelace architecture support. 1; linux-ppc64le v12. The nvcc compiler option --allow-unsupported-compiler can be used as an escape hatch. CUDA Syntax Highlighting for Code Development and Debugging. I didn’t find any official information for this. EULA The CUDA Toolkit End User License Agreement applies to the NVIDIA CUDA Toolkit, the NVIDIA CUDA Samples, the NVIDIA Display Driver, NVIDIA Nsight tools (Visual Studio Edition), and the associated documentation on CUDA APIs, programming model and development tools. I notice CUDA drivers are already installed by default, but the CUDA container is not. 0 is available to download. This doesn’t apply to every GPU and every CUDA version, and may no longer be valid months or years into the future. New architecture-specific features in NVIDIA Hopper and Ada Lovelace are initially being exposed through libraries and framework enhancements. Minimal first-steps instructions to get CUDA running on a standard system. Dec 30, 2019 · How to run pytorch with NVIDIA "cuda toolkit" version instead of the official conda "cudatoolkit" version Aug 10, 2023 · cuda-toolkit happens to have newer releases than cudatoolkit. so and its header file name is cuda_runtime. Jul 25, 2022 · Yes! Errors point towards multiple Cuda installations which are causing conflict . And there's also a few files which are Oct 11, 2023 · Release Notes. I'm just trying to rebuild TF with TFRT support. Supported Architectures. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. Why CUDA Compatibility The NVIDIA® CUDA® Toolkit enables developers to build NVIDIA GPU accelerated compute applications for desktop computers, enterprise, and data centers to hyperscalers. 0) chosen for compatibility with other tools. vzak wpsctli xbzk gio zbc fftauz kvauzpru njhczfa eewxxn adarahr