Skip to main content

This package contains fork of Horovod (distributed training framework for TensorFlow and others) adjusted to work with Habana® TensorFlow bridge on Habana® Gaudi® accelerator.

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 fork enables multi node training on Habana® Gaudi® accelerator with Habana® TensorFlow bridge only (https://pypi.org/project/habana-tensorflow/). For more details please refer to https://docs.habana.ai/en/latest/Tensorflow_Scaling_Guide/TensorFlow_Gaudi_Scaling_Guide.html.

The same as original Horovod project, the package is sdist, containing all sources with Habana modifications for in place building python Wheel package on customer environment.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

habana-horovod-1.14.0.493.tar.gz (3.7 MB view details)

Uploaded Source

File details

Details for the file habana-horovod-1.14.0.493.tar.gz.

File metadata

  • Download URL: habana-horovod-1.14.0.493.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for habana-horovod-1.14.0.493.tar.gz
Algorithm Hash digest
SHA256 9d009b7ba2774e0476c75bec33c33d9f8e9c846b657e46bc05f9e0d584ece970
MD5 fbb64aeb9804692a80b032f2f086e8bd
BLAKE2b-256 8239f851bde6725d89fb27b581b4afcca9b3af92f85cf3c293ea007c7854ac41

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page