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Posted to issues@mxnet.apache.org by "jcalebsmith (via GitHub)" <gi...@apache.org> on 2023/02/04 21:53:13 UTC

[GitHub] [mxnet] jcalebsmith opened a new issue, #21180: Please build a wheel for mxnet--1.9.1 for windows

jcalebsmith opened a new issue, #21180:
URL: https://github.com/apache/mxnet/issues/21180

   ## Description
   On the [Get Started instructions](https://mxnet.apache.org/versions/1.9.1/get_started?platform=windows&language=python&processor=cpu&environ=pip&) for MXNet version 1.9.1 say to simply run "pip install mxnet". This does not work. There doesn't appear to actually be a wheel for version 1.9.1. In fact, there doesn't seem to be a wheel compiled for anything above version 1.8.0. 
   
   Running "pip install mxnet -f https://dist.mxnet.io/python/cpu" will only install version 1.8.0, regardless of python 3.7, 3.8, or 3.9.
   
   Libraries that rely on MXNet (for instance, AutoGluon) have already moved on to require MXNet version >1.9.0. 
   
   Could you please make version 1.9.1 available to Windows users via pip?
   


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[GitHub] [mxnet] relaxli00 commented on issue #21180: Please build a wheel for mxnet--1.9.1 for windows

Posted by "relaxli00 (via GitHub)" <gi...@apache.org>.
relaxli00 commented on issue #21180:
URL: https://github.com/apache/mxnet/issues/21180#issuecomment-1462386690

   The Windows build was suffered from too many CUDA and BLAS combinations and the corresponding issue has not been fixed since sometime around version 1.7. If you want to build a wheel for specific CUDA and BLAS, you can check [this link](https://medium.com/@relaxli/build-mxnet-1-9-1-with-cuda-11-7-and-mkl-blas-using-visual-studio-2019-on-windows-10-a9ebecb1941b) for a reference.


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[GitHub] [mxnet] github-actions[bot] commented on issue #21180: Please build a wheel for mxnet--1.9.1 for windows

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #21180:
URL: https://github.com/apache/mxnet/issues/21180#issuecomment-1416858227

   Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
   Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
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