Horovod with Adasum for highly scalable distributed training.
Project description
Horovod is a distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make distributed Deep Learning fast and easy to use. This version includes the highly scalable Adasum reduction algorithm.
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 Distribution
horovod-adasum-0.18.2.tar.gz
(2.9 MB
view details)
File details
Details for the file horovod-adasum-0.18.2.tar.gz.
File metadata
- Download URL: horovod-adasum-0.18.2.tar.gz
- Upload date:
- Size: 2.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9384d66e9e748ce1edb6f388806607bd01ccba100d13d563ac5eb41d048e53c5 |
|
| MD5 | e79240e4e07285ad4d6c3e1014c7e499 |
|
| BLAKE2b-256 | bc3f534885e0d8f221a541d956cbc0f19d54277caee646e9413e95686dbe38ee |
