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 0.17.0.dev20220216000025

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 0.17.0.dev20220216000025
File Actions
tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-macosx_10_15_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_10_15_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_10_15_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-macosx_10_15_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 11.0 MB

Release files / tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-win_amd64.whl
Size 759.0 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
18dd399516fc2cfcea832e0b43448fd242ad1110e3fab8e9c9b5ff252ed61da3
BLAKE2b-256 checksum
How to use checksums
54446294a2a144f124855f1ef420f1fe896c3ded735cbad8812c46068c706181
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.10 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
e8a3425957cc48c68c4c564cfc92bd6f2ecc15963b9982f0936ab4374ec19ee7
BLAKE2b-256 checksum
How to use checksums
70d56cd864937d8c1eb319c8e6dd0cb3369a0db263d8feb16813b99f07b03b97
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp310-cp310-macosx_10_15_x86_64.whl
Size 591.5 kB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
46710432486bc579844d01c5fdb5af7d57d73a0e6aa98e217d956761ff02ea25
BLAKE2b-256 checksum
How to use checksums
4d56fe4e38d7642448c9bb21f698ae1e301f2997840a3ca86cbe178df9a0d7a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-win_amd64.whl
Size 759.0 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
0fb733636c1155c6d60c1fb74ea59c687c25ccc47cff56a849ff30a008757f53
BLAKE2b-256 checksum
How to use checksums
2739a138249641e273577e7b1377a3343fe3d34f61ac8c1ba5a6f264f7ae143f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
a817e01115b1acd138cc9951f57f80366e51af6ac3b6bf4170a2200ee0f0da8a
BLAKE2b-256 checksum
How to use checksums
2ee5d74166e9e2144c369a871fc7542854dbbc5daf6c69856a9583d1ff5661bc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_11_0_arm64.whl
Size 548.4 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
6d8b48b08e65a195a0fa885b9ba026043cf51e4668cf990dfe73b9ac35cf33bf
BLAKE2b-256 checksum
How to use checksums
a14fb2a0736734d33a67a560dc09fc0ecacfefe40117e90c43c9a1344e35fe21
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp39-cp39-macosx_10_15_x86_64.whl
Size 591.5 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
e30337187285c16e9a4e1deb9c04c0872aed8e0a2d8d2eb904d3bd2ef4ae0752
BLAKE2b-256 checksum
How to use checksums
c6c9945eff114763183c076629633a4255d0597aeca769ceba5ffdda9ce91221
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-win_amd64.whl
Size 759.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
772d79375ee01a12a3a6c5aed75ee532319b82c31af99cb56c2efd2ec1e2514a
BLAKE2b-256 checksum
How to use checksums
6f2744f3874b8dc917e6911ec20cc58d99aa74e18de3e51e144e3cfd9bf62a5c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
7aa54d65dfa761d9e687ff14dd7f7b89fbb3b23c67792b6c3e3a1b22fd77bbe5
BLAKE2b-256 checksum
How to use checksums
c85ac54c0d052087fa28c27c1b190c442184ac5204b4be31d482f42c20a646ed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_11_0_arm64.whl
Size 548.4 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
3b05f827dae78126105b9013799a64a9b914509da94312fb114969a80f336c6b
BLAKE2b-256 checksum
How to use checksums
cc99b94f003f488f8ab5a87496929da3b6846f8ce3c4ce36895d6a5a08c33773
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp38-cp38-macosx_10_15_x86_64.whl
Size 591.4 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
b7c72e6181ccbdfd8ed4f9d392a962a847bd80faa9d54ca4bcbc90ad284543b6
BLAKE2b-256 checksum
How to use checksums
eafb03d632a28f9756b43e16f9268d23d3aad07b775a32cab820071bc3480f9c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-win_amd64.whl
Size 759.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
3c5ce0176bdb7279f40de0716b7cfebc8c16b3cb9c61d8302624e8ce944abc3b
BLAKE2b-256 checksum
How to use checksums
6641a602deacca0cab88445a188e857120faf8606430292a748adda7597d69df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
88ad54d938c42b443cd6d952443d8f341766ee58590a96742cc886ba45982d53
BLAKE2b-256 checksum
How to use checksums
eb2f3cd4d536cca6c82ae7ef9bf7f8db2ebddacb2481b57faccf9e2fd69658d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220216000025-cp37-cp37m-macosx_10_15_x86_64.whl
Size 591.5 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
c79034d1b3b1d698c0ba379c3dc55afc7b5eb8f02a29c805ce00c537b277d28c
BLAKE2b-256 checksum
How to use checksums
848f6d477433b6e7f7fef01691e35ce5f943487d79134456faf5b30e1a82321a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Security for tfa-nightly 0.17.0.dev20220216000025

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