FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.
2 maintainers
Metadata
2 maintainers
Release files for fairscale 0.4.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fairscale-0.4.13.tar.gz | 266.3 kB | Details |
Release files / fairscale-0.4.13.tar.gz
| Download URL | fairscale-0.4.13.tar.gz |
|---|---|
| Size | 266.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
1b797825c427f5dba92253fd0d8daa574e8bd651a2423497775fab1b30cfb768
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BLAKE2b-256 checksum How to use checksums |
c108b3334d7b543ac10dcb129cef4f84723ab696725512f18d69ab3a784b0bf5
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No |
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twine/4.0.2 CPython/3.9.15
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