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horovod 0.28.1

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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Horovod is a powerful distributed training framework for Python that allows you to train deep learning models across multiple GPUs and servers quickly and efficiently. It falls under the category of distributed computing libraries. Built on top of TensorFlow, PyTorch, and other popular deep learning frameworks, Horovod simplifies the process of scaling up your model training by handling the complexities of distributed training under the hood.

Stars: 14672, Watchers: 14672, Forks: 2254, Open Issues: 406

The horovod/horovod repo was created 8 years ago and the last code push was 2 months ago.
The project is extremely popular with a mindblowing 14672 github stars!

How to Install horovod

You can install horovod using pip

pip install horovod

or add it to a project with poetry

poetry add horovod

Package Details

Author
The Horovod Authors
License
Apache 2.0
Homepage
https://github.com/horovod/horovod
PyPi:
https://pypi.org/project/horovod/
GitHub Repo:
https://github.com/horovod/horovod

Classifiers

  • Scientific/Engineering/Artificial Intelligence
No  horovod  pypi packages just yet.

Errors

A list of common horovod errors.

Code Examples

Here are some horovod code examples and snippets.

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