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MXNet is an ultra-scalable deep learning framework. This version uses 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-9.0 for GPU acceleration. Also checkout other versions: mxnet-cu90, mxnet-cu80mkl, and 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, Raspberry Pi/ARM) or other versions of CUDA, check Installing MXNet for instructions on building from source.

Installation

To install:

pip install mxnet-cu90mkl
Release History

Release History

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1.0.0.post1

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1.0.0.post0

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1.0.0

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1.0.0b20171214

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0.12.1

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0.12.1b20171203

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0.12.1b20171130

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0.12.1b20171129

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0.12.1b20171121

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0.12.1b20171119

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0.12.1b20171117

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0.12.1b20171115

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0.12.1b20171109

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0.12.1b20171108

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0.12.1b20171107

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0.12.1b20171106

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0.12.1b20171104

This version
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0.12.1b20171103

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0.12.0

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0.12.0b20171102

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0.12.0b20171101

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0.12.0b20171031

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0.12.0b20171030

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0.12.0b20171029

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0.12.0b20171026

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0.12.0b20171021

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0.11.1b20171009

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mxnet_cu90mkl-0.12.1b20171103-py2.py3-none-manylinux1_x86_64.whl (288.2 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Nov 3, 2017

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