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MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.2.

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 and Windows platforms. You may also want to check: - mxnet-cu92mkl with CUDA-9.2 support and MKLDNN support. - mxnet-cu91 with CUDA-9.1 support. - mxnet-cu91mkl with CUDA-9.1 support and MKLDNN support. - mxnet-cu90 with CUDA-9.0 support. - mxnet-cu90mkl with CUDA-9.0 support and MKLDNN support. - mxnet-cu80 with CUDA-8.0 support. - mxnet-cu80mkl with CUDA-8.0 support and MKLDNN support. - mxnet-cu75 with CUDA-7.5 support. - mxnet-cu75mkl with CUDA-7.5 support and MKLDNN support. - mxnet-mkl with MKLDNN support. - mxnet.

To download CUDA, 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, check Installing MXNet for instructions on building from source.

Installation

To install:

pip install mxnet-cu92

Download files

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

Files for mxnet-cu92, version 1.2.1.post1
Filename, size File type Python version Upload date Hashes
Filename, size mxnet_cu92-1.2.1.post1-py2.py3-none-manylinux1_x86_64.whl (393.7 MB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size mxnet_cu92-1.2.1.post1-py2.py3-none-win_amd64.whl (284.1 MB) File type Wheel Python version py2.py3 Upload date Hashes View

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