AxoNN
AxoNN is a parallel framework for training deep neural networks.
Installation
Prior to the installation, PyTorch must already be installed.
pip install axonn
Contributing
AxoNN is an open source project. We welcome contributions via pull requests, and questions, feature requests, or bug reports via issues.
Citing AxoNN
If you are referencing AxoNN in a publication, please cite the following paper:
- Siddharth Singh, Abhinav Bhatele. AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning In Proceedings of the IEEE International Parallel & Distributed Processing Symposium (IPDPS '22). IEEE Computer Society, May 2022.
License
AxoNN is distributed under the terms of the Apache License (Version 2.0) with LLVM Exceptions.
All contributions must be made under the Apache License (Version 2.0) with LLVM Exceptions.
See LICENSE for details.
SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
Release files for axonn 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| axonn-0.2.0.tar.gz | 37.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| axonn-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.8 kB
Release files / axonn-0.2.0.tar.gz
| Download URL | axonn-0.2.0.tar.gz |
|---|---|
| Size | 37.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.2
|
Release files / axonn-0.2.0-py3-none-any.whl
| Download URL | axonn-0.2.0-py3-none-any.whl |
|---|---|
| Size | 49.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.2
|
