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 0.19.0.dev20221209212142

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 0.19.0.dev20221209212142
File Actions
tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-win_amd64.whl
tfa_nightly-0.19.0.dev20221209212142-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-0.19.0.dev20221209212142-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_10_14_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.14+ x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_10_14_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-win_amd64.whl
tfa_nightly-0.19.0.dev20221209212142-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-0.19.0.dev20221209212142-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_10_14_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.14+ x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_10_14_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-win_amd64.whl
tfa_nightly-0.19.0.dev20221209212142-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-0.19.0.dev20221209212142-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_10_14_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.14+ x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_10_14_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-win_amd64.whl
tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-macosx_10_14_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.14+ x86-64 Details for tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-macosx_10_14_x86_64.whl

Total release size: 91.0 MB

Release files / tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-win_amd64.whl
Size 732.6 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
6bd2a3a5805bb5a3bb58397cc31ad80d580ab3cb9e45649f1a456f1894a7fb93
BLAKE2b-256 checksum
How to use checksums
dd4eac628a1db1a91c410bfcd19a4789c1b0205466abc172681870f8392ba33e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
2b2da3513fe320886a52723d9e2c6ada3cc08c162fda2e3da10bce9d39bb7c82
BLAKE2b-256 checksum
How to use checksums
231370e6f80e5563f23a9310640d39559e7f694544deb8069ba8fa1b364da1ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_11_0_arm64.whl
Size 11.1 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
909efafe5ee3e72db443f5fc8cdb7cfe0b300296e1983fbd0b938eedbe72f87f
BLAKE2b-256 checksum
How to use checksums
af7f5c230533c2bbf4fd0ea52add2c3d862e34953ece57076407f96fb6914bc7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp310-cp310-macosx_10_14_x86_64.whl
Size 12.6 MB
Tags CPython 3.10 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
38c2b7d6eefe4b142ee2d530ec9cbd7963e7a22c863273daba41b52e8c78fa55
BLAKE2b-256 checksum
How to use checksums
9d079ab7341de3c9ec5d2121aa4e637bb04f65cedc0b769661ef0b69811c96fb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-win_amd64.whl
Size 745.8 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
bee7728d7292ecbad71b6518660a3437accfb3cfaa56485f1fd50eac488d1fa4
BLAKE2b-256 checksum
How to use checksums
d96ff521a845029bbdb98c1961ca9139a6f6fd955b9909a84ccc31570a412abc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
067633943a74d62b0fcf13a2c67f7a8ac92938e9d6a64bf6529fcac084a51b3f
BLAKE2b-256 checksum
How to use checksums
ba19bfb3efe42fd18f1d97abd465353bd5184630bd606c8ab9c230021639874f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_11_0_arm64.whl
Size 11.1 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
cb5ce1cb5c19e550de9e30fde131196f971a20a3e25b1d8a92428eebe75bc338
BLAKE2b-256 checksum
How to use checksums
ceec51635a4adf3b97ecfe25fb87c63d57cb1e0f01dad96e8f9409e5fcd28a30
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp39-cp39-macosx_10_14_x86_64.whl
Size 12.6 MB
Tags CPython 3.9 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
77bb1326462c058c491f5c24411a268c29bd1f02fac6d18ffce1a1441a7c29eb
BLAKE2b-256 checksum
How to use checksums
23891321b47e4b3014e7e8aee4b8783623653be04a0a0e4a74d11a25279eb60e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-win_amd64.whl
Size 745.7 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
f74ce371c980a50ac2d02a633984494e1d72a3bb737ad8e847c1baee85d187b8
BLAKE2b-256 checksum
How to use checksums
98643eac9f959fa06741e70cdd94480ab43f2eb0f6728d5fc11303eedbc13f68
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.8 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
f79359d4b66975d60dbbb5918296d44608ff96d524824254ae4807de2ea1444c
BLAKE2b-256 checksum
How to use checksums
bb0e2388589a7d4259e7e309ec85b4216c2b6b83c015453cab684677a5f0fef3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_11_0_arm64.whl
Size 11.1 MB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
71e6bf9ac204d2593e56142af71fde1190870bdd26ad6abaaa9c9e542f843d4d
BLAKE2b-256 checksum
How to use checksums
6fb8fd1e52161cde8573c89e4145cf8b010fe0ec9b9563b9f5506bd77e39bc10
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp38-cp38-macosx_10_14_x86_64.whl
Size 12.6 MB
Tags CPython 3.8 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
57fce70c06a8f16ed97ce90bae0bf1ed0101a9089356b25ca20ff97074653476
BLAKE2b-256 checksum
How to use checksums
442fd1119e27e1b4fbfd73f761624c5e3c365afd7e87bf95b94885a2ba99d266
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-win_amd64.whl
Size 745.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
b1bdd518bb2570f506912620aa9d347de08637f9dd28c32871fe06bf81fde08d
BLAKE2b-256 checksum
How to use checksums
2502721ca0df48c788a2fd995b13ccf03369b14a5ab71c87560bfdca2991a5fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
a056d69c2928f69e30364b749218987304f3d4d25fde307b05d3c29c61322e90
BLAKE2b-256 checksum
How to use checksums
5ae1ff20995a3e856520e3fda8cf18fd194c8bbdc8de7745dd0420ef03735186
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Release files / tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.19.0.dev20221209212142-cp37-cp37m-macosx_10_14_x86_64.whl
Size 12.6 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
e7a1e38c8f2cbec264a08483260192be60e840f51ec3df756ff0aee0b96a226e
BLAKE2b-256 checksum
How to use checksums
6dc7dfba8e237d1a5e95f0a67208038d2f0433cdeb1cc2ffdb6f2389fafe152a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.16

Security for tfa-nightly 0.19.0.dev20221209212142

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