kernels

kernel-builder logo

PyPI - Version GitHub tag Test kernels

The Kernel Hub allows Python libraries and applications to load compute kernels directly from the Hub. To support this kind of dynamic loading, Hub kernels differ from traditional Python kernel packages in that they are made to be:

  • Portable: a kernel can be loaded from paths outside PYTHONPATH.
  • Unique: multiple versions of the same kernel can be loaded in the same Python process.
  • Compatible: kernels must support all recent versions of Python and the different PyTorch build configurations (various CUDA versions and C++ ABIs). Furthermore, older C library versions must be supported.

🚀 Quick Start

Install the kernels package with pip (requires torch>=2.5 and CUDA):

pip install kernels

Here is how you would use the activation kernels from the Hugging Face Hub:

import torch

from kernels import get_kernel

# Download optimized kernels from the Hugging Face hub
activation = get_kernel("kernels-community/activation")

# Random tensor
x = torch.randn((10, 10), dtype=torch.float16, device="cuda")

# Run the kernel
y = torch.empty_like(x)
activation.gelu_fast(y, x)

print(y)

You can search for kernels on the Hub.

📚 Documentation

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.16.1)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for danieldk from gravatar.com danieldk Avatar for lysandre from gravatar.com lysandre

Credits

Author: OlivierDehaene

License

Apache-2.0

Requires

Python >=3.9

Provides Extra

abi-check torch docs

Report project as malware

Download files

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

Source Distribution

kernels-0.11.5.tar.gz (50.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kernels-0.11.5-py3-none-any.whl (46.5 kB view details)

Uploaded Python 3

File details

Details for the file kernels-0.11.5.tar.gz.

File metadata

  • Download URL: kernels-0.11.5.tar.gz
  • Upload date:
  • Size: 50.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for kernels-0.11.5.tar.gz
Algorithm Hash digest
SHA256 ac95579cb6c1d924f50acd18d2dfac2cbe5233d276a877a200794a619c99beb9
MD5 ddf5b0e325598cc38a48cc80e9a28308
BLAKE2b-256 f0219cdb65155a1d8f8e93c71222470835c36812a704db885cdca68543ad9915

See more details on using hashes here.

Provenance

The following attestation bundles were made for kernels-0.11.5.tar.gz:

Publisher: publish.yml on huggingface/kernels

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file kernels-0.11.5-py3-none-any.whl.

File metadata

  • Download URL: kernels-0.11.5-py3-none-any.whl
  • Upload date:
  • Size: 46.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for kernels-0.11.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a07a24ca458d6635cd6eff4a9332483e8a9ee531aee5927b425c3230bf6d613b
MD5 33d8693a4b9951295bfb748e5f700cee
BLAKE2b-256 62b84b88d8f26c7dca96692eacd3d332fcb38c96b1faf4d7fa22e9a995a7c664

See more details on using hashes here.

Provenance

The following attestation bundles were made for kernels-0.11.5-py3-none-any.whl:

Publisher: publish.yml on huggingface/kernels

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.16.1

2 files

0.16.0

2 files

0.15.2

2 files

0.15.1

2 files

0.14.1

2 files

0.14.0

2 files

Pre-release

0.14.0.dev1

2 files

Pre-release

0.14.0.dev0

2 files

0.13.0

2 files

0.12.3

2 files

0.12.2

2 files

0.12.1

2 files

0.12.0

2 files

0.11.7

2 files

0.11.6

2 files

This release

0.11.5 This release

2 files

0.11.4

2 files

0.11.3

2 files

0.11.2

2 files

0.11.1

2 files

0.11.0

2 files

0.10.5

2 files

0.10.4

2 files

0.10.3

2 files

0.10.2

2 files

0.10.1

2 files

0.10.0

2 files

0.9.1

2 files

0.9.0

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.1

2 files

0.7.0

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.1

2 files

0.5.0

2 files

Pre-release

0.5.0.dev0

2 files

0.4.5

1 file

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.3

2 files

0.3.2

1 file

0.3.1

1 file

0.3.0

1 file

0.2.1

1 file

0.2.0

1 file

0.1.7

2 files

0.0.0

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page