gpuinfo | easy way to acquire nvidia gpu information | GPU library

 by   FlyHighest Python Version: 1.0.0a7 License: MIT

kandi X-RAY | gpuinfo Summary

kandi X-RAY | gpuinfo Summary

gpuinfo is a Python library typically used in Hardware, GPU applications. gpuinfo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However gpuinfo build file is not available. You can install using 'pip install gpuinfo' or download it from GitHub, PyPI.

I implement some functions that can help users to obtain nvidia gpu information. To use gpuinfo, you need to be able to run 'ps' and 'nvidia-smi' in your terminal.
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            kandi-support Support

              gpuinfo has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 54 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gpuinfo is 1.0.0a7

            kandi-Quality Quality

              gpuinfo has no bugs reported.

            kandi-Security Security

              gpuinfo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              gpuinfo is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gpuinfo releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              gpuinfo has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gpuinfo and discovered the below as its top functions. This is intended to give you an instant insight into gpuinfo implemented functionality, and help decide if they suit your requirements.
            • Get memory usage information
            • Return a dict of user information
            • Get user from pid
            • Checks if gpu is empty
            • Get the memory usage of the GPU
            • Return the current memory usage
            Get all kandi verified functions for this library.

            gpuinfo Key Features

            No Key Features are available at this moment for gpuinfo.

            gpuinfo Examples and Code Snippets

            Usage
            Pythondot img1Lines of Code : 19dot img1License : Permissive (MIT)
            copy iconCopy
            from gpuinfo import GPUInfo
            
            get_users(gpu_id)
                return a dict. show every user and memory on a certain gpu 
            
            check_empty()
                check_empty()
                return a list containing all GPU ids that no process is using currently.
            
            get_info()
                pid_list,perc  
            Example
            Pythondot img2Lines of Code : 13dot img2License : Permissive (MIT)
            copy iconCopy
            from gpuinfo import GPUInfo
            
            available_device=GPUInfo.check_empty()
            #available_device就是一个含有所有没有任务的gpu编号的列表
            percent,memory=GPUInfo.gpu_usage()
            #获得所有gpu的使用百分比和显存占用量
            min_percent=percent.index(min([percent[i] for i in available_device]))
            #未被使用的gpu里percen  
            Install with pip
            Pythondot img3Lines of Code : 1dot img3License : Permissive (MIT)
            copy iconCopy
            pip install gpuinfo
              

            Community Discussions

            QUESTION

            Why do so many GPUs not support transfer operations for common image types according to these statistics?
            Asked 2021-Oct-18 at 18:26

            This table shows the percentage of GPUs that support any given image format for different uses, such as sampling, transferring, as a depth and stencil buffer etc. If you look at it you'll see that that many of the most common formats are supported for uses such as sampling and depth buffer usage with the percentage showing as 99% or 100%, while the support for TRANSFER_SRC and TRANSFER_DST is at 78%. I'm wondering why this is, given that pretty much any format should be able to be transferred for reading it and writing it. When uploading an image to be used as a texture don't you need the TRANSFER_DST bit to be set as a flag? Similarly does this mean that there are GPUs that support something like R8G8B8A8_UINT (100% of them apparently), but only 78% of them support transferring them? This doesn't make sense to me. Strangely where the support for TRANSFER_SRC and TRANSFER_DST shows 78% for many of them the BLIT_SRC and BLIT_DST show 100%. The tutorials I've followed show the uploading of textures using copy commands and TRANSFER_DST to copy images to the GPU, for example when copying an image from a staging buffer.

            ...

            ANSWER

            Answered 2021-Oct-18 at 18:26

            This is purely a historical artifact. That database was created very early in Vulkan's life, and it has entries from a long time ago.

            Vulkan 1.0 did not have FORMAT_FEATURE_TRANSFER_SRC/DEST as options. If the implementation provided any usage support for a format, then images in that format could be used in transfer operations, period. The feature src/dest options were added in KHR_maintenance1 (adopted into Vulkan 1.1). The purpose of this was as follows:

            Allow implementations to express support for doing just transfers and clears of image formats that they otherwise support no other format features for. This is done by adding new format feature flags VK_FORMAT_FEATURE_TRANSFER_SRC_BIT_KHR and VK_FORMAT_FEATURE_TRANSFER_DST_BIT_KHR.

            For backwards compatibility, the extension also requires that SRC/DST support must be provided for any format that is required to be able to be used as a sampled image.

            The 22% of "GPUs" that "don't support src/dst" in that database are from GPUs that were never updated to more recent versions of Vulkan.

            Source https://stackoverflow.com/questions/69619086

            QUESTION

            Vulkan swapchain format UNORM to SRGB using VK_KHR_swapchain_mutable_format?
            Asked 2021-May-31 at 17:26

            Creating swapchain images with wrong format result this obviously:

            ...

            ANSWER

            Answered 2021-May-31 at 17:26

            VkImageFormatListCreateInfo Provided by VK_VERSION_1_2

            You linked to the Vulkan 1.2 specification. So of course it cites itself. The extension in question is a core part of 1.2, as is VkImageFormatListCreateInfo.

            The actual extension cites another extension:

            Requires VK_KHR_image_format_list

            Which defines the VkImageFormatListCreateInfoKHR structure used by the swapchain format extension. This structure is of course equivalent to the core 1.2 structure VkImageFormatListCreateInfo, since "image_format_list" was promoted to core in Vulkan 1.2.

            Source https://stackoverflow.com/questions/67777591

            QUESTION

            multiviewGeometryShader feature does not seems to be supported on the oculus 2, what alternatives?
            Asked 2021-Apr-19 at 08:32

            So I wanted to modify the VrCuvbeWorld_Vulkan sample provided on the facebook website: https://developer.oculus.com/documentation/native/android/mobile-vrapi/ to add a geometry shader for the Oculus Quest 2. However when I tried to enable the multiviewGeometryShader feature, I was granted by a VK_ERROR_FEATURE_NOT_PRESENT error. And on http://vulkan.gpuinfo.org/displayreport.php?id=10024#features_extensions the feature is said to not be supported.

            I just need a geometry shader to calculate a value for each triangle. What would be a viable alternative? On http://vulkan.gpuinfo.org they say that the geometryShader feature is supported. Therefore, is rendering eye by eye without the multiview extension a possible solution ?

            ...

            ANSWER

            Answered 2021-Apr-19 at 08:32

            If a device supports geometry shaders and also VK_KHR_multiview, that doesn't mean that both can be used in conjunction. That only works if the multiviewGeometryShader property is true. When we looked at this in detail last year, we couldn't find any device (besides some NVIDIA Quardo, I think) that supported multiview with geometry or tessellation shaders.

            That means that you'll not be able to use geometry shaders with the VK_KHR_multiview extension for now. A good alternative could be to use geometry shader instancing and use the geometry shader instance's invocation id to direct rendering into different layers:

            Source https://stackoverflow.com/questions/67147745

            QUESTION

            What is the filter to search for EC2 instances with NVIDIA GPUs?
            Asked 2020-Oct-12 at 21:43

            I'm trying to search for ec2 instances with NVIDIA gpus.

            I've tried the following

            ...

            ANSWER

            Answered 2020-Oct-12 at 21:43

            There is no filter defined for that field, but you can use JMESPATH to specify the desired records:

            Source https://stackoverflow.com/questions/64317576

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gpuinfo

            I only tested on linux system with python3. https://pypi.org/project/gpuinfo/.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install gpuinfo

          • CLONE
          • HTTPS

            https://github.com/FlyHighest/gpuinfo.git

          • CLI

            gh repo clone FlyHighest/gpuinfo

          • sshUrl

            git@github.com:FlyHighest/gpuinfo.git

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