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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.

For feature requests on the PyPI package, suggestions, and issue reports, click here. 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-cu90, mxnet-cu90mkl, 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-cu80mkl

Project details


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1.2.0

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1.0.0b20171213

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This version
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0.12.1

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0.12.1b20171203

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0.12.1b20171126

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0.11.0

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0.11.0rc3

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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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mxnet_cu80mkl-0.12.1-py2.py3-none-manylinux1_x86_64.whl (254.5 MB) Copy SHA256 hash SHA256 Wheel py2.py3 Nov 28, 2017

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