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:
- mxnet-cu112 with CUDA-11.2 support.
- mxnet-cu110 with CUDA-11.0 support.
- mxnet-cu102 with CUDA-10.2 support.
- mxnet-cu100 with CUDA-10.0 support.
- mxnet.
- mxnet-native CPU variant without MKLDNN.
To download CUDA, check CUDA download. For more instructions, check CUDA Toolkit online documentation.
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:
pip install mxnet-cu101
Release files for mxnet-cu101 1.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mxnet_cu101-1.9.1-py3-none-manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
Release files / mxnet_cu101-1.9.1-py3-none-manylinux2014_x86_64.whl
| Download URL | mxnet_cu101-1.9.1-py3-none-manylinux2014_x86_64.whl |
|---|---|
| Size | 360.0 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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