apache / mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
https://mxnet.apache.org
Apache License 2.0
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Having trouble with installing GPU-version mxnet #19599

Open DemonsHunter opened 3 years ago

DemonsHunter commented 3 years ago

Description

When I was trying to intall an mxnet with GPU, I encounter some unexpected errors:

Error Message

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple/ ERROR: Could not find a version that satisfies the requirement mxnet-cu111 (from versions: none) ERROR: No matching distribution found for mxnet-cu111

To Reproduce

(If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.)

Steps to reproduce

(Paste the commands you ran that produced the error.)

  1. open a jupyter notebook
  2. since my cuda version is 11.1.96, so I run this command "pip install mxnet-cu111"

What have you tried to solve it?

  1. turn to a version without GPU, and it works, but I still want to use GPU desperately!

Environment

windows 64bits OS python == 3.7 anaconda == 4.4

We recommend using our script for collecting the diagnostic information with the following command curl --retry 10 -s https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py | python3

Environment Information ``` # Paste the diagnose.py command output here ```
github-actions[bot] commented 3 years ago

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. If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on contributing to MXNet and our development guides wiki.

szha commented 3 years ago

@DemonsHunter thanks for reporting the issue. I don't think we started to publish to the mxnet-cu111 package on PyPI yet. There is an ongoing license issue that we are attempting to resolve and thus are putting it on hold for publishing new GPU packages on PyPI.