
horovod 0.28.1
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.
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
Related Packages
Errors
A list of common horovod errors.
Code Examples
Here are some horovod code examples and snippets.
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