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mxnet-cu90

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mxnet-cu90

MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.0.

pipPyPI
Version
1.6.0.post0
Maintainers
3

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 and Windows platforms. You may also want to check: - mxnet-cu102 <https://pypi.python.org/pypi/mxnet-cu102/>__ with CUDA-10.2 support. - mxnet-cu102mkl <https://pypi.python.org/pypi/mxnet-cu102mkl/>__ with CUDA-10.2 support and MKLDNN support. - mxnet-cu101 <https://pypi.python.org/pypi/mxnet-cu101mkl/>__ with CUDA-10.1 support. - mxnet-cu101mkl <https://pypi.python.org/pypi/mxnet-cu101mkl/>__ with CUDA-10.1 support and MKLDNN support. - mxnet-cu100 <https://pypi.python.org/pypi/mxnet-cu100mkl/>__ with CUDA-10.0 support. - mxnet-cu100mkl <https://pypi.python.org/pypi/mxnet-cu100mkl/>__ with CUDA-10.0 support and MKLDNN support. - 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-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-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.apache.org/versions/master/install/index.html>__ for instructions on building from source.

Installation

To install:

.. code:: bash

pip install mxnet-cu90

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