setGPU | Small Python library to automatically set | GPU library

 by   bamos Python Version: 0.0.7 License: No License

kandi X-RAY | setGPU Summary

kandi X-RAY | setGPU Summary

setGPU is a Python library typically used in Hardware, GPU, Tensorflow applications. setGPU has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install setGPU' or download it from GitHub, PyPI.

A small Python library that automatically sets CUDA_VISIBLE_DEVICES to the least-loaded GPU on multi-GPU systems.
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            kandi-support Support

              setGPU has a low active ecosystem.
              It has 95 star(s) with 19 fork(s). There are 4 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. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of setGPU is 0.0.7

            kandi-Quality Quality

              setGPU has 0 bugs and 0 code smells.

            kandi-Security Security

              setGPU has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              setGPU code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              setGPU does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              setGPU releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              setGPU saves you 9 person hours of effort in developing the same functionality from scratch.
              It has 27 lines of code, 0 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            setGPU Key Features

            No Key Features are available at this moment for setGPU.

            setGPU Examples and Code Snippets

            No Code Snippets are available at this moment for setGPU.

            Community Discussions

            QUESTION

            How to push/get data from Firebase and add to a bidimensional array using Java?
            Asked 2021-Jul-02 at 11:14

            I already have TOPSIS algorithm that can calculate data from an array[][]. Now I'm going to use the data from:

            dummy data:

            ...

            ANSWER

            Answered 2021-Jul-02 at 10:57

            First of all, do not store numbers as Strings in the database nor in your Item_pc class. If you have the values stored as Strings, change them to int, for example. So your class declaration should look like this:

            Source https://stackoverflow.com/questions/68221080

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

            Vulnerabilities

            No vulnerabilities reported

            Install setGPU

            You can install using 'pip install setGPU' or download it from GitHub, PyPI.
            You can use setGPU like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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 setGPU

          • CLONE
          • HTTPS

            https://github.com/bamos/setGPU.git

          • CLI

            gh repo clone bamos/setGPU

          • sshUrl

            git@github.com:bamos/setGPU.git

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