mxnet-cu91mkl 1.3.0
pip install mxnet-cu91mkl
Latest version
Released:
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.1 and MKLDNN.
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache 2.0
Project description
MXNet Python Package
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache 2.0
Release history Release notifications | RSS feed
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_cu91mkl-1.3.0-py2.py3-none-win_amd64.whl
(387.7 MB
view details)
Uploaded
Python 2
Python 3
Windows x86-64
mxnet_cu91mkl-1.3.0-1-py2.py3-none-win_amd64.whl
(387.7 MB
view details)
Uploaded
Python 2
Python 3
Windows x86-64
File details
Details for the file mxnet_cu91mkl-1.3.0-py2.py3-none-win_amd64.whl
.
File metadata
- Download URL: mxnet_cu91mkl-1.3.0-py2.py3-none-win_amd64.whl
- Upload date:
- Size: 387.7 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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1a8135ab902e26cb278b0c638ce677a3d83691045f78a044caf11bb583c1de3d |
|
MD5 | 1b5df6ed9aa1d6f018928c0f00cdf6a8 |
|
BLAKE2b-256 | 28c703dd7e5fa11a9c92075b5d06f57111458ed3ab04c691131741557c5bac0b |
File details
Details for the file mxnet_cu91mkl-1.3.0-1-py2.py3-none-win_amd64.whl
.
File metadata
- Download URL: mxnet_cu91mkl-1.3.0-1-py2.py3-none-win_amd64.whl
- Upload date:
- Size: 387.7 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
Algorithm | Hash digest | |
---|---|---|
SHA256 | ff169da9f0a0d717ae53b64b13da5c964a8ab60b75af81525602b7b2557f9d6c |
|
MD5 | 2c95bfbc3008edc1a4f1305671a4738f |
|
BLAKE2b-256 | 626c658b8efbbb31c17ca150654d9c672e0be049315d6d3642a3a34ccdab29ec |