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

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 only. You may also want to check: - mxnet-cu101 with CUDA-10.1 support. - mxnet-cu101mkl with CUDA-10.1 support and MKLDNN support. - mxnet-cu100 with CUDA-10.0 support. - mxnet-cu100mkl with CUDA-10.0 support and MKLDNN support. - mxnet-cu92 with CUDA-9.2 support. - mxnet-cu92mkl with CUDA-9.2 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.

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-mkl

Download files

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Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl (76.7 MB view hashes)

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