An Automatic Distributed Deep Learning Framework
Project description
DLRover helps model developers focus on model algorithm itself, without taking care of any engineering stuff, say, hardware acceleration, distribute running, etc. It provides static and dynamic nodes' configuration automatically,, before and during a model training job running on k8s
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 Distribution
dlrover-0.3.8-py3-none-any.whl
(455.6 kB
view details)
File details
Details for the file dlrover-0.3.8-py3-none-any.whl.
File metadata
- Download URL: dlrover-0.3.8-py3-none-any.whl
- Upload date:
- Size: 455.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | eb7d35e7148d1f77d515423b89a7331cd8b393c991d1e56d9f9e1151a4c8ad6c |
|
| MD5 | cfca34d7d3e24e3112a73211850d0bda |
|
| BLAKE2b-256 | ced1271953021bdc27be509f88249571db29fac9b352296fa5383657d63f741b |
