Skip to main content

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, Mac OSX, and Windows platforms. You may also want to check:

To use this package on Linux you need the libquadmath.so.0 shared library. On Debian based systems, including Ubuntu, run sudo apt install libquadmath0 to install the shared library. On RHEL based systems, including CentOS, run sudo yum install libquadmath to install the shared library. As libquadmath.so.0 is a GPL library and MXNet part of the Apache Software Foundation, MXNet must not redistribute libquadmath.so.0 as part of the Pypi package and users must manually install it.

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, use:

pip install mxnet

Release files for mxnet 1.8.0.post0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for mxnet 1.8.0.post0
File
mxnet-1.8.0.post0-py2.py3-none-manylinux2014_x86_64.whl Python 3, Python 2 none Linux glibc 2.17+ x86-64 Details
mxnet-1.8.0.post0-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details
mxnet-1.8.0.post0-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details
mxnet-1.8.0.post0-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details

Total release size: 151.6 MB

Release files / mxnet-1.8.0.post0-py2.py3-none-manylinux2014_x86_64.whl

Download URL mxnet-1.8.0.post0-py2.py3-none-manylinux2014_x86_64.whl
Size 46.9 MB
Tags Linux glibc 2.17+ x86-64 Python 2 Python 3
SHA-256 checksum
How to use checksums
4aac6539c22fbcea32fa9e22ba58445e392332a2dc5af23b303387787d86cf67
BLAKE2b-256 checksum
How to use checksums
300766174e78c12a3048db9039aaa09553e35035ef3a008ba3e0ed8d2aa3c47b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.7

Release files / mxnet-1.8.0.post0-cp39-cp39-macosx_10_13_x86_64.whl

Download URL mxnet-1.8.0.post0-cp39-cp39-macosx_10_13_x86_64.whl
Size 34.9 MB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
514178d79c88af30899171fd05a2bd57da33deb0275f9c6a29e87c903e51368e
BLAKE2b-256 checksum
How to use checksums
2b2ac7ad49cc681bdc51fc3c57faed179f7488f24c62d5d7ad3897021a31b1b0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.9

Release files / mxnet-1.8.0.post0-cp38-cp38-macosx_10_13_x86_64.whl

Download URL mxnet-1.8.0.post0-cp38-cp38-macosx_10_13_x86_64.whl
Size 34.9 MB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
62f148782eb7b965d3ccc7e95d32342c106a1c6bafd6baeee09ed95a2fbb2549
BLAKE2b-256 checksum
How to use checksums
9f75dbd66a70c48cefe03c6ee9e680afbc75137b0f8ef3e17996efa4d539f559
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.9

Release files / mxnet-1.8.0.post0-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL mxnet-1.8.0.post0-cp37-cp37m-macosx_10_13_x86_64.whl
Size 34.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
bb8adac5e6936359f023374d60a93a6baf43d1d1ebcbfbee285f8bbbf2dc3c65
BLAKE2b-256 checksum
How to use checksums
113a1936daf41fe5f8fc89991f4da28fce6f3942a2fc7fc40adb97e554e0f60a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.9

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page