Ring Attention - Pytorch

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, distributed attention
Classifiers

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 lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, distributed attention
Classifiers

Release history Release notifications | RSS feed

0.5.19

0.5.18

0.5.17

0.5.16

0.5.15

0.5.14

0.5.12

0.5.11

0.5.10

0.5.9

0.5.8

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.21

0.3.20

0.3.19

0.3.18

0.3.17

0.3.16

0.3.15

0.3.14

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.28

This version

0.2.27

0.2.26

0.2.25

0.2.24

0.2.23

0.2.22

0.2.21

0.2.20

0.2.19

0.2.18

0.2.17

0.2.16

0.2.15

0.2.14

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.48

0.1.47

0.1.46

0.1.45

0.1.44

0.1.43

0.1.42

0.1.41

0.1.40

0.1.39

0.1.38

0.1.37

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.17

0.1.16

0.1.15

0.1.14

0.1.12

0.1.11

0.1.10

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.2

0.1.1

0.1.0

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

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

ring-attention-pytorch-0.2.27.tar.gz (18.0 kB view details)

Uploaded Source

Built Distribution

ring_attention_pytorch-0.2.27-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file ring-attention-pytorch-0.2.27.tar.gz.

File metadata

File hashes

Hashes for ring-attention-pytorch-0.2.27.tar.gz
Algorithm Hash digest
SHA256 e311fc78fa243476503ed6d23ca42e4a023e5faaff5ccf7200944d4fa53f0002
MD5 7efb02c82a45ba4a47f183168ed1f7e0
BLAKE2b-256 e2fae6ea5e81cfa5d4b5d21d47bc3b972a2ccde9d42b0e2dd54b60cef7d26a45

See more details on using hashes here.

Provenance

File details

Details for the file ring_attention_pytorch-0.2.27-py3-none-any.whl.

File metadata

File hashes

Hashes for ring_attention_pytorch-0.2.27-py3-none-any.whl
Algorithm Hash digest
SHA256 9b34c5411404ba631d4c010f11b55323b6ad62d26eb6796c291aa188435a6fce
MD5 d6af23a2dd8980f6ae4c611cc1eed28a
BLAKE2b-256 92a07f7db69c1d6d1f4f7c5fb12e50e1cf3844eb8f5e694e3fe84d214cef3b4b

See more details on using hashes here.

Provenance

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