Metadata-Version: 2.1
Name: mxnet
Version: 1.8.0
Summary: MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN.
Home-page: https://github.com/apache/incubator-mxnet
Author: UNKNOWN
Author-email: UNKNOWN
License: Apache 2.0
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Other
Classifier: Programming Language :: Perl
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy (<2.0.0,>1.16.0)
Requires-Dist: requests (<3,>=2.20.0)
Requires-Dist: graphviz (<0.9.0,>=0.8.1)

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, Mac OSX, and
Windows platforms. You may also want to check: -
`mxnet-cu112 <https://pypi.python.org/pypi/mxnet-cu112/>`__ with
CUDA-11.2 support. -
`mxnet-cu110 <https://pypi.python.org/pypi/mxnet-cu110/>`__ with
CUDA-11.0 support. -
`mxnet-cu102 <https://pypi.python.org/pypi/mxnet-cu102/>`__ with
CUDA-10.2 support. -
`mxnet-cu101 <https://pypi.python.org/pypi/mxnet-cu101/>`__ with
CUDA-10.1 support. -
`mxnet-cu100 <https://pypi.python.org/pypi/mxnet-cu100/>`__ with
CUDA-10.0 support. -
`mxnet-native <https://pypi.python.org/pypi/mxnet-native/>`__ CPU
variant without MKLDNN.

To use this package on Linux you need the ``libquadmath.so.0`` shared
library. On Debian based systems, including Ubuntu, run
``sudo apt install libquadmath0`` to install the shared library. On RHEL
based systems, including CentOS, run ``sudo yum install libquadmath`` to
install the shared library. As ``libquadmath.so.0`` is a GPL library and
MXNet part of the Apache Software Foundation, MXNet must not
redistribute ``libquadmath.so.0`` as part of the Pypi package and users
must manually install it.

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

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

To install, use:

.. code:: bash

    pip install mxnet


