[GitHub] szha opened a new issue #8671: Discussion and troubleshooting on PyPI (pip) installation

[GitBox <gi...@apache.org>]

szha opened a new issue #8671: Discussion and troubleshooting on PyPI (pip) installation
URL: https://github.com/apache/incubator-mxnet/issues/8671
 
 
   PyPI for [Apache MXNet](http://mxnet.apache.org) installation has been available for a while and has been the most important channel for distribution. I'm opening this issue to collect feedbacks, suggestions and issue reports for releases and nightly pre-releases.
   
   ## Current Status
   Supported variants:
   - [mxnet](https://pypi.python.org/pypi/mxnet/) on `Windows`, `Linux`, and `Mac OSX`, with CPU-only without MKL2017 support.
   - [mxnet-mkl](https://pypi.python.org/pypi/mxnet-mkl/) on both `Linux` and `Mac OSX`, with CPU-only `MKL2017` support (with MKL experimental).
   - [mxnet-cu75](https://pypi.python.org/pypi/mxnet-cu75/) on `Linux`, supports `CUDA-7.5`.
   - [mxnet-cu80](https://pypi.python.org/pypi/mxnet-cu80/) on `Windows` and `Linux`, supports `CUDA-8.0`.
   - [mxnet-cu90](https://pypi.python.org/pypi/mxnet-cu90/) on `Windows` and `Linux`, supports `CUDA-9.0`.
   - [mxnet-cu75mkl](https://pypi.python.org/pypi/mxnet-cu75mkl/) on `Linux`, supports `CUDA-7.5` and `MKL2017` (with MKL experimental).
   - [mxnet-cu80mkl](https://pypi.python.org/pypi/mxnet-cu80mkl/) on `Linux`, supports `CUDA-8.0` and `MKL2017` (with MKL experimental).
   - [mxnet-cu90mkl](https://pypi.python.org/pypi/mxnet-cu90mkl/) on `Linux`, supports `CUDA-9.0` and `MKL2017` (with MKL experimental).
   
   (Note: MKL-DNN integration is in progress will likely replace MKL2017.)
   
   ## Usage
   ### Release
   For release, users can install it via
   ```bash
   MXNET_VARIANT=mxnet-cu90 MXNET_VERSION=0.12.0 pip install --upgrade ${MXNET_VARIANT}==${MXNET_VERSION}
   ```
   
   Be sure to update `pip` (`setuptools`) to the most recent version, by `pip install --upgrade pip`.
   
   ### Nightly
   For nightly pre-release, users can install it via `pip install --pre --upgrade`. Be sure to update `pip` (`setuptools`) to the most recent version, by `pip install --upgrade pip`.
   
   ## Report issue
   For bug submissions on issues found in the pre-releases, please attach:
   - MXNet pip package version
   - Environment report:
   ```
   What to do:
   1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
   2. Run the script using `python diagnose.py` and paste its output here.
   
   ```
   - Problem code
     - Code snippet to reproduce the issue
     - Code should use dummy data (e.g. `mx.nd.random.uniform`), unless bug is only triggered with specific data value, in which case that specific value should be attached.

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