Skip to main content

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

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-cu92

Download files

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

Source Distributions

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

Built Distribution

mxnet_cu92-1.7.0-py2.py3-none-manylinux2014_x86_64.whl (789.8 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file mxnet_cu92-1.7.0-py2.py3-none-manylinux2014_x86_64.whl.

File metadata

  • Download URL: mxnet_cu92-1.7.0-py2.py3-none-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 789.8 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.8

File hashes

Hashes for mxnet_cu92-1.7.0-py2.py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ef4609715ed85c5d7222a8f0706e4f730bf5aeed3e8cdac0fba96962e28ac8e
MD5 45184fea6958244a27c95b05c2eca4e9
BLAKE2b-256 06f2ea1cf284d97bb5f6d21087c7ae8d5ce05fb2952c2f508eecac8c915c2699

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page