semvec/pypi-packages huggingface dataset:
mxnet-mkl 1.7.0b20200315
MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.
License: Apache 2.0

Apache MXNet (Incubating) Python Package
========================================

`Apache MXNet <http://beta.mxnet.io>`__ is a deep learning framework
designed for both *efficiency* and *flexibility*. It allows you to mix
the flavours of deep learning programs together to maximize the
efficiency and your productivity.

For feature requests on the PyPI package, suggestions, and issue
reports, create an issue by clicking
`here <https://github.com/apache/incubator-mxnet/issues/new>`__.

Prerequisites
-------------

This package supports Linux only. You may also want to check: -
`mxnet-cu92 <https://pypi.python.org/pypi/mxnet-cu92/>`__ with CUDA-9.2
support. -
`mxnet-cu92mkl <https://pypi.python.org/pypi/mxnet-cu92mkl/>`__ with
CUDA-9.2 support and MKLDNN support. -
`mxnet-cu91 <https://pypi.python.org/pypi/mxnet-cu91/>`__ with CUDA-9.1
support. -
`mxnet-cu91mkl <https://pypi.python.org/pypi/mxnet-cu91mkl/>`__ with
CUDA-9.1 support and MKLDNN support. -
`mxnet-cu90 <https://pypi.python.org/pypi/mxnet-cu90/>`__ with CUDA-9.0
support. -
`mxnet-cu90mkl <https://pypi.python.org/pypi/mxnet-cu90mkl/>`__ with
CUDA-9.0 support and MKLDNN support. -
`mxnet-cu80 <https://pypi.python.org/pypi/mxnet-cu80/>`__ with CUDA-8.0
support. -
`mxnet-cu80mkl <https://pypi.python.org/pypi/mxnet-cu80mkl/>`__ with
CUDA-8.0 support and MKLDNN support. -
`mxnet-cu75 <https://pypi.python.org/pypi/mxnet-cu75/>`__ with CUDA-7.5
support. -
`mxnet-cu75mkl <https://pypi.python.org/pypi/mxnet-cu75mkl/>`__ with
CUDA-7.5 support and MKLDNN support. -
`mxnet <https://pypi.python.org/pypi/mxnet/>`__.

To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other
versions, check `Installing
MXNet <https://mxnet.incubator.apache.org/versions/master/install/index.html>`__
for instructions on building from source.

Installation
------------

To install:

.. code:: bash

   pip install mxnet-mkl