JAX-like composable function transforms for PyTorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for zou3519 from gravatar.com zou3519

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: PyTorch Core Team

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 zou3519 from gravatar.com zou3519

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: PyTorch Core Team

Release history Release notifications | RSS feed

2.0.0

1.13.1

1.13.0

0.2.1

0.2.0

This version

0.1.1

0.1.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

functorch-0.1.1-cp310-cp310-manylinux1_x86_64.whl (21.4 MB view details)

Uploaded CPython 3.10

functorch-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

functorch-0.1.1-cp39-cp39-manylinux1_x86_64.whl (21.4 MB view details)

Uploaded CPython 3.9

functorch-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

functorch-0.1.1-cp38-cp38-manylinux1_x86_64.whl (21.5 MB view details)

Uploaded CPython 3.8

functorch-0.1.1-cp38-cp38-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

functorch-0.1.1-cp37-cp37m-manylinux1_x86_64.whl (21.4 MB view details)

Uploaded CPython 3.7m

functorch-0.1.1-cp37-cp37m-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file functorch-0.1.1-cp310-cp310-manylinux1_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp310-cp310-manylinux1_x86_64.whl
  • Upload date:
  • Size: 21.4 MB
  • Tags: CPython 3.10
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e0c9075fc8d785e8ee18326a37d04bbfdf656435740b4693d57491af67a8aae3
MD5 56eaa02ead65af3aad755a22c63607a1
BLAKE2b-256 3bf51e334ff10fa844f2e0a4c128daf7dc60fa8073727d173fafe25f1aff71f7

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d6abc183fdcac6bfddc53ca246b57cf2a6d093348fb017db458bc2db41978227
MD5 f2709cd96161e13f464cda741fa955be
BLAKE2b-256 e13e204c63345fe949ae06caa0da0e59ac3d8293a8809ed702db6a1013a32dda

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 21.4 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 49cc0620ab2d83b8fbee1318bd84c53c26eb818a76ba303d5962662fead58172
MD5 08bb14e957d85566bd5f7b5c1fd5d60f
BLAKE2b-256 a4a1b44f60e11db5de771e5be6410d48b6514dfdfd561b1ea8d5bb78e069b285

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b21c2730724c459620a7c6ab2b5d58df1795ce0f376b19c1657be84ce5759069
MD5 cd8f007b1b5b5ae7828c2919b0198651
BLAKE2b-256 9947b464365af9e97ffd46529b864849f42a860f5baa891be49ed60e863d847d

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 21.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 31781a47808afa0dea41a4c66d3597d9c645e304b35b3ff0c19745db7c4eb616
MD5 f231fa62b9093c335c01ea5b52015880
BLAKE2b-256 f88cdd2ae3c8b9c9352fd12a34d2e7c12a452d9013e10c22e625b336e22efc87

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 7da9781c6508e4e3fc3c565c98b13c64957704a6dcfcd7576a7e3fe869d4b6d4
MD5 111416c6e346aef3525d1ef4bb9f9a67
BLAKE2b-256 47d95033de15f3468b6d4c14df3abd2bf9513e1253b627b3a192895d50b8daf3

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 21.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 40ac0fe8d2fcf5d1f16a8e56d4a3c002bd00084af82fc68df6445625df101308
MD5 b30c64f80b974bfd1925c9796bcdcc90
BLAKE2b-256 82fb8b65b43b31d94f1c2c26de3b6ba4775363c0be95704874b31ef287450034

See more details on using hashes here.

File details

Details for the file functorch-0.1.1-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: functorch-0.1.1-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.4

File hashes

Hashes for functorch-0.1.1-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 72c4de315041bde862fa4a100c1b605d6fb2a401f7a4cd3476fd3085de1ad594
MD5 8288720094794a53549a6386e1cb992b
BLAKE2b-256 50f526815f86baa9ceb5fb3c5353919b25f5d4892a2767cfcba96b4b643e2079

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