semvec/pypi-packages huggingface dataset:
mxnet-cu75mkl 1.2.1.post1
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-7.5 and MKLDNN.
License: Apache 2.0

MXNet Python Package
====================

`MXNet <http://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, `click
here <https://github.com/apache/incubator-mxnet/issues/8671>`__.

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-mkl <https://pypi.python.org/pypi/mxnet-mkl/>`__ with
MKLDNN support. - `mxnet <https://pypi.python.org/pypi/mxnet/>`__.

To download CUDA, check `CUDA
download <https://developer.nvidia.com/cuda-downloads>`__. For more
instructions, check `CUDA Toolkit online
documentation <http://docs.nvidia.com/cuda/index.html>`__.

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-cu75mkl