Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

TensorFlow Addons is a repository of contributions that conform to well- established API patterns, but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

Metadata

Release files for tfa-nightly 0.22.0.dev20230712134652

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tfa-nightly 0.22.0.dev20230712134652
File Actions
tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-win_amd64.whl
tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_10_14_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_10_14_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-win_amd64.whl
tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_10_14_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_10_14_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-win_amd64.whl
tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_10_14_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_10_14_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-win_amd64.whl
tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_10_14_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_10_14_x86_64.whl

Total release size: 106.7 MB

Release files / tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-win_amd64.whl
Size 719.9 kB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
4edbb690eed9e325c5a033a7193e3aa922e8f932fed87316141a90595d9182f2
BLAKE2b-256 checksum
How to use checksums
ae45661aa219479c52bb5101666bb602d8346750d7db894a2f5ab8a7877fb69f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.2 kB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
5ff398959fbd0bc3be30c25f9a51f51586e287b86e2d938a24927a0673a4e411
BLAKE2b-256 checksum
How to use checksums
10213b5d51350c7481d7cf0d515d2a9a43b9bbdbe4fdd906204eac73daac14b6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_11_0_arm64.whl
Size 11.9 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
461cc20da21dddc8ea3ec77e0a934b35f01211f6689dedc13f9a3aadb9908fb5
BLAKE2b-256 checksum
How to use checksums
57a9a479abd7ced6d4742734087715ca6309fa5f6e3c5dccf30f3b7ac534edbe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp311-cp311-macosx_10_14_x86_64.whl
Size 13.4 MB
Tags CPython 3.11 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
c73bba63cf51714e79d0e0a160ee48851c59aa15216f710ffff90f26e21bcec1
BLAKE2b-256 checksum
How to use checksums
38fd9923c756617b5e2d2b2388bef8ee5541828ea9845959f46fb89288258376
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-win_amd64.whl
Size 719.9 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
24ec763a38755b828e0950dcaddd530ab3a453ae63a1e182c7f089b1a251e5a5
BLAKE2b-256 checksum
How to use checksums
e9a2783d21bb789553341254a43b6511cebb61ea859db3996d03e8085e5fabab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.2 kB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
f277ffd941d8ae8feae1bff2d64138fa900d9d38d2dadca2fa3f2c065c27f8f4
BLAKE2b-256 checksum
How to use checksums
6899e3ef69f5a12d78dcb384a31799b340b0ac66fdba14a4c8e174cabfd52526
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_11_0_arm64.whl
Size 11.9 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
3ebdd00b751f91ccbeee400374a203e6552d6c4b5ab1ede0a286a590694452da
BLAKE2b-256 checksum
How to use checksums
19d7a1f2796e065b7c7cff562cc6c06cab1c0e3b6a2e157cec5417ee39cf25d4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp310-cp310-macosx_10_14_x86_64.whl
Size 13.4 MB
Tags CPython 3.10 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
87eb15f89ac588c2771da1d2f4da7786f54be7e13cb3bf4c7f36634eb0e7f5f5
BLAKE2b-256 checksum
How to use checksums
1089369f53232b2689d040ae0ab57f44cfda42cf08a67439741188e5a16421f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-win_amd64.whl
Size 733.2 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
7724b2b2c7f95c9a91e6a265fc1f0f2e8d8ce1f97505c7585539350ef22687d2
BLAKE2b-256 checksum
How to use checksums
9774d5529ae31599f7f73f85a426e0b5d81bef1475e1c1ee7fb0798c37bd2a8f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.2 kB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
12972d20753950d8ca56511d403128afd09155539b51ecf6cfad79092cd93e00
BLAKE2b-256 checksum
How to use checksums
255b21b22e131ff82f987950c755352ea257e699d869bff5d8be840a5b0698fb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_11_0_arm64.whl
Size 11.9 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
4f222c596d0fc44f1ac017a71c5f141a3711823abced2e4da153a9d9dd4e4dc5
BLAKE2b-256 checksum
How to use checksums
67da7b8c8d47b4e09974af14aafcf061ebe71e13380a37177f5dcdda940c6597
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp39-cp39-macosx_10_14_x86_64.whl
Size 13.4 MB
Tags CPython 3.9 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
9ca364506ddc37150d6bc8c06ca38865a4a7da5ed00605bae66ea24c2087ccf0
BLAKE2b-256 checksum
How to use checksums
d098c01fe82bbab9d0a43270be23c7afe0c1d8c97bd292cd60414aab1b6fae64
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-win_amd64.whl
Size 733.2 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
77fd8a42ed86dd7ff62a44a0661eac40db2ead276e2a69a115ad31e3161d2f4c
BLAKE2b-256 checksum
How to use checksums
506361c7bba73b75aed959f946666f2b49b5f5a5870655fc0aae80f3cef746ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.2 kB
Tags CPython 3.8 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
758673c3de11491cac88b93b8283a8b51382580de31b1d0e3f0acc7be8d68f36
BLAKE2b-256 checksum
How to use checksums
069d62a0c7db567c943b655d5a92a60c5795c58a4a1f28a9ae6cef606ddc2177
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_11_0_arm64.whl
Size 11.9 MB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
d3923161e9007ec4f47adad05b19ac75f884851033cdcdb8672d77b315ded0dd
BLAKE2b-256 checksum
How to use checksums
a6fc75f76656ffd31e9f4ebf82df687e974b77126115dbec8172a7b90eaacbad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20230712134652-cp38-cp38-macosx_10_14_x86_64.whl
Size 13.4 MB
Tags CPython 3.8 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
b009579ee6a3deb54f55ac002b8b1168ba7d3a80c0e30837dd86964f441800e3
BLAKE2b-256 checksum
How to use checksums
d149c0e6384346e4a64ca4b707ead7cd225521e017240a32b06b059ef938a69b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Security for tfa-nightly 0.22.0.dev20230712134652

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

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