Skip to main content

MXNet is an ultra-scalable deep learning framework. This version uses CUDA-10.2.

Project description

Apache MXNet (Incubating) Python Package

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:

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-cu102

Download files

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

Files for mxnet-cu102, version 1.7.0.post1
Filename, size File type Python version Upload date Hashes
Filename, size mxnet_cu102-1.7.0.post1-py2.py3-none-manylinux2014_x86_64.whl (895.6 MB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page