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

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.


This package supports Linux platform only, and requires that CUDA-8.0 and cuDNN-5.1 are already installed, along with the proper NVIDIA driver. For package with CUDA-7.5 support on Linux, check mxnet-cu75.

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

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


To install:

pip install mxnet-cu80

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Filename, size & hash SHA256 hash help File type Python version Upload date
mxnet_cu80-0.9.3a3-cp27-cp27mu-manylinux1_x86_64.whl (51.1 MB) Copy SHA256 hash SHA256 Wheel cp27
mxnet_cu80-0.9.3a3-cp34-cp34m-manylinux1_x86_64.whl (51.1 MB) Copy SHA256 hash SHA256 Wheel cp34
mxnet_cu80-0.9.3a3-cp35-cp35m-manylinux1_x86_64.whl (51.1 MB) Copy SHA256 hash SHA256 Wheel cp35
mxnet_cu80-0.9.3a3-cp36-cp36m-manylinux1_x86_64.whl (51.1 MB) Copy SHA256 hash SHA256 Wheel cp36

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