mxnet-cu80

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

Project description

Apache 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, create an issue by clicking here.

Prerequisites

This package supports Linux and Windows platforms. You may also want to check: - mxnet-cu92 with CUDA-9.2 support. - 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-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. Raspberry Pi/ARM) or other versions of CUDA, check Installing MXNet for instructions on building from source.

Installation

To install:

pip install mxnet-cu80

Project details

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This version

1.5.0

Jul 19, 2019

1.4.1

May 14, 2019

1.4.0.post0

Mar 8, 2019

1.4.0

Feb 28, 2019

1.3.1

Nov 27, 2018

1.3.0.post0

Sep 15, 2018

1.3.0

Sep 12, 2018

1.2.1.post1

Dec 15, 2018

1.2.1

Jul 17, 2018

1.2.0

May 21, 2018

1.1.0.post0

Apr 7, 2018

1.1.0

Feb 20, 2018

1.0.0.post4

Jan 23, 2018

1.0.0.post2

Dec 23, 2017

1.0.0.post1

Dec 9, 2017

1.0.0.post0

Dec 5, 2017

1.0.0

Dec 5, 2017

0.12.1

Nov 16, 2017

0.12.0

Oct 31, 2017

0.11.0

Aug 20, 2017

0.10.0.post2

Jul 18, 2017

0.10.0

May 27, 2017

0.9.5.post3

May 25, 2017

0.9.5.post2

May 24, 2017

0.9.5.post1

May 12, 2017

0.9.5

May 4, 2017

0.9.3

Feb 18, 2017

0.9.3a3 pre-release

Feb 21, 2017

0.9.3a1 pre-release

Feb 14, 2017

0.9.3a0 pre-release

Feb 14, 2017

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