![]() ![]() ![]() THIS CODE IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR NON-INFRINGEMENT. For more information see the Code of Conduct FAQ or contact with any additional questions or comments. ![]() There are 5494 other projects in the npm registry using npm. Start using npm in your project by running npm i npm. This project has adopted the Microsoft Open Source Code of Conduct. Latest version: 9.7.2, last published: 6 days ago. Please see the public site for package documentation. This code is managed within the main pnp repo, please report issues and submit pull requests there. Please use for the latest updates around the whole Microsoft 365 and Power Platform Community(PnP) initiative. The installer now includes versions 8.4.15 (for R up to 2.6.x) and 8.5.2 (for R 2.7.x or later) of the TCL/TK bundle, and iconv.dll version 1.12. Only fixes to this code will affect Rtools27.exe, the contents are otherwise frozen. Built with feedback from the community they represent a way to simplify your day-to-day dev cycle while relying on tested and proven The installer now sets registry entries like those of R, so that other tools can find it. Note: In MMCV-v2.x, mmcv-full is rename to mmcv, if you want to install mmcv without CUDA ops, you can use mim install 'mmcv-lite>2.0.0rc1' to install the lite version. Some content is licensed under the numpy license.The SharePoint Patterns and Practices client side libraries were created to help enable developers to do their best work, without worrying about the exact pip install -U openmim mim install mmengine mim install 'mmcv>2.0.0'. Java is a registered trademark of Oracle and/or its affiliates. For details, see the Google Developers Site Policies. Updated Version Latest Public TensorFlow is a widely-used machine learning framework in the deep learning arena, demanding efficient utilization of computational resources. Major features, improvements, and changes of each version are available in theĮarlier branches of the documentation can be found onĮxcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. The following versions of the TensorFlow api-docs are currently available. ![]()
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