Warp attention: hardware efficient implementation of scaled dot product attention.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for demoriarty from gravatar.com demoriarty

Unverified details

These details have not been verified by PyPI
Meta
  • Author: demoriarty
  • Tags transformers, attention, scaled dot product attention, pytorch

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for demoriarty from gravatar.com demoriarty

Unverified details

These details have not been verified by PyPI
Meta
  • Author: demoriarty
  • Tags transformers, attention, scaled dot product attention, pytorch

Release history Release notifications | RSS feed

0.1.9

This version

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.0

0.0.2

0.0.1

Download files

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

Source Distribution

warp_attention-0.1.8.tar.gz (83.2 MB view details)

Uploaded Source

File details

Details for the file warp_attention-0.1.8.tar.gz.

File metadata

  • Download URL: warp_attention-0.1.8.tar.gz
  • Upload date:
  • Size: 83.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for warp_attention-0.1.8.tar.gz
Algorithm Hash digest
SHA256 9e2ea5340567b163ae8704b1ace3c17d50624920fc3821650ee4242a7ba53a50
MD5 751a2fbed08bfc457f3076bb70b3f585
BLAKE2b-256 b21151512e590cb0844f7b8192003599885b593946361f38c27234a2992c505d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page