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 only. You may also want to check: - mxnet-cu101 with CUDA-10.1 support. - mxnet-cu101mkl with CUDA-10.1 support and MKLDNN support. - mxnet-cu100 with CUDA-10.0 support. - mxnet-cu100mkl with CUDA-10.0 support and MKLDNN support. - mxnet-cu92 with CUDA-9.2 support. - mxnet-cu92mkl with CUDA-9.2 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.
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-mkl
Release files for mxnet-mkl 1.6.0
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 | Actions Reset |
|---|---|---|---|---|
| mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl | Python 3, Python 2 | none | Linux glibc 2.5+ x86-64 | Details for mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl |
Release files / mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 76.7 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
f7926f02dd7bee3c4500484764a83de67625f2f42bb3520eb5111b221739bda5
|
|
BLAKE2b-256 checksum How to use checksums |
453fe84aef209001eb8dba16427855b0dc39f2a58905d7de53a7dd7187059bb2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/3.3 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.4.3
|
Security for mxnet-mkl 1.6.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
