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MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0 and MKL-ML.

Project Description

MXNet 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.

Prerequisites

This package supports Linux platform only and includes MKLML support for Intel CPU acceleration, and requires CUDA-8.0 for GPU acceleration. Also checkout other versions: mxnet-cu80, mxnet-cu75mkl, and mxnet-cu75.

To download, check CUDA download. For more instructions, check CUDA Toolkit online documentation.

To install for other platforms (e.g. Windows) or other versions of CUDA, check Build Instruction.

Installation

To install:

pip install mxnet-cu80mkl

Release history Release notifications

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1.2.0b20180422

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1.2.0b20180421

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1.2.0b20180420

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1.2.0b20180419

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1.0.1b20180131

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1.0.1b20180103

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1.0.0.post4

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1.0.0

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1.0.0b20171213

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0.11.1b20171010

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0.11.1b20171003

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0.11.1b20170929

This version
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0.11.1b20170922

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0.11.1b20170915

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0.11.1b20170908

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0.11.1b20170829

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0.11.1b20170822

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0.11.0

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0.11.0rc3

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0.11.0rc1

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0.11.0rc0

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0.11.0b20170815

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0.10.0.post2

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0.10.0

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0.9.5

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Filename, size & hash SHA256 hash help File type Python version Upload date
mxnet_cu80mkl-0.11.1b20170922-py2.py3-none-manylinux1_x86_64.whl (243.1 MB) Copy SHA256 hash SHA256 Wheel py2.py3 Sep 22, 2017

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