Skip to main content

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.

Source Distributions

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

Built Distributions

mxnet_cu92-1.3.1-py2.py3-none-win_amd64.whl (325.7 MB view details)

Uploaded Python 2Python 3Windows x86-64

mxnet_cu92-1.3.1-py2.py3-none-manylinux1_x86_64.whl (412.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file mxnet_cu92-1.3.1-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: mxnet_cu92-1.3.1-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 325.7 MB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/36.5.0.post20170921 requests-toolbelt/0.8.0 tqdm/4.22.0 CPython/3.6.3

File hashes

Hashes for mxnet_cu92-1.3.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 36e45aa100834337665f0276270ba3361e5caafad84576cb2dfb78da9f5ebf15
MD5 d8584b19b37430fca34f3394b48b351d
BLAKE2b-256 64261273216b5288327d6170c3ae5b27b98192b13eeb053d66258cea9c7e4cd7

See more details on using hashes here.

File details

Details for the file mxnet_cu92-1.3.1-py2.py3-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: mxnet_cu92-1.3.1-py2.py3-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 412.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/36.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.6

File hashes

Hashes for mxnet_cu92-1.3.1-py2.py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a33b16b2da6db82ef2c5578d9617e875ef093ca5bc47ea512729c785649bcf36
MD5 84a946d788467b08e1edf8c7521d41a3
BLAKE2b-256 3b18b4d7a80ee371bc18ac08e1714402a281af806e09aba108a10f6590720fff

See more details on using hashes here.

Supported by

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