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.dev20220703191645

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.dev20220703191645
File Actions
tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220703191645-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-0.17.0.dev20220703191645-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220703191645-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.dev20220703191645-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220703191645-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-0.17.0.dev20220703191645-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220703191645-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.dev20220703191645-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220703191645-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-0.17.0.dev20220703191645-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220703191645-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.dev20220703191645-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220703191645-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-0.17.0.dev20220703191645-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220703191645-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.dev20220703191645-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 11.5 MB

Release files / tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-win_amd64.whl
Size 762.8 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
abec80ee107fc8e462e5800b12fc8ff55f3aa2d876b4a40cf2cecdd4e9381e12
BLAKE2b-256 checksum
How to use checksums
48368840e7fafb203326fc0a07299ecab2fc7f30030ff69bebcd79e1c5680417
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-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
bf6a1c9297be7c40086c816595c4815debe10451ee04626ff6580a32564c70e3
BLAKE2b-256 checksum
How to use checksums
89ad757cd3b431082c7360e40365279473cfab00882aadafb220a4038d26168d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_11_0_arm64.whl
Size 550.2 kB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
6781615bc28d83661bd7734f42ab8a09aefe8b8151808fed4ad0d320baebd8a2
BLAKE2b-256 checksum
How to use checksums
c0fdc7ff6ee0b7ba83c21ebfda2bf99f5ba623fb93523159f7148e1cbf0acf2e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp310-cp310-macosx_10_15_x86_64.whl
Size 593.3 kB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
7f9012bbe006c97ef1f0cf0a545cedd40adb6b8d898bc4f7e45b6ce6f89f1da0
BLAKE2b-256 checksum
How to use checksums
5361e7bb149781515efa4f7ae46c334cb3c00feaea6c6c094deae64888933ee6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-win_amd64.whl
Size 762.8 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
dd8246026acf74c6dabeecd5e5c7866ca8009e0617401ab5d23463af656c3c9d
BLAKE2b-256 checksum
How to use checksums
3e65dd7dff4b704e777bb9e51d50f9182157cd6ffdcc3cfc9829e66555a9081a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-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
f7e0c0e34f54298654e8e495042ed919407df9cc4f87f4b72c4ae7778e97c481
BLAKE2b-256 checksum
How to use checksums
f09855269573555c1b22980d4334a0956c88fd35b789e455699d39a476d8b119
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_11_0_arm64.whl
Size 550.2 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
0cc0030489295accb0f42924d09127703e8bd57e6cda8db4f73b29ceae47e046
BLAKE2b-256 checksum
How to use checksums
b2125f8914920046485e1adf4282de47ffd30371bafea8f2a2a7f4e8b2eb1ec6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp39-cp39-macosx_10_15_x86_64.whl
Size 593.3 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
47ef33750973d6951fd6085c15af71a6645bbf91aa3de405e9c3e849e59e6e95
BLAKE2b-256 checksum
How to use checksums
8ddb45def6f143e1bc36d80a5d6abbcfe05a20dd1d749abcf4b0265a2c55b37e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-win_amd64.whl
Size 762.8 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
aea80fdee952178adf0182918d80a665d14a3fe7d6b41b596486d10964b339bf
BLAKE2b-256 checksum
How to use checksums
af622ec6bd28e5f62eb9b0cf72239d543017bde04ac242c9d96284b8973dd15a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-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
005e83a760e0fccb76bdd23e1721119e446d2a24412d1f5ae728e3386cc4f405
BLAKE2b-256 checksum
How to use checksums
e2e0892a59f7c5bb0fdd4e08310964157c1034acfbaf446bc417bd2290861d9d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_11_0_arm64.whl
Size 550.2 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
09195c535e0c1d4d0343ccd1bd5f5536dc7823bd9cbb5c4b47a7b7d5df48bb74
BLAKE2b-256 checksum
How to use checksums
90818baf25ae6a23a4e24cfd080d33a5b7da81a1cf4feb57014298fd06517bd9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp38-cp38-macosx_10_15_x86_64.whl
Size 593.3 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
228142db7101f6aba66db6290bbf4a15a77ef7addd9d6dfc66a5fece25a4491e
BLAKE2b-256 checksum
How to use checksums
ff42869ee7bb58422586083c76e2a643cca9c4e6c97cf4dae7b5a1d4ba90f4fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-win_amd64.whl
Size 762.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
3cf2267b76fca3f652d62bb8691045e25d970779680ac33fbe17061f608e18c1
BLAKE2b-256 checksum
How to use checksums
f6e223b12e3b38186c957048f9bb2279d1fe77c2f621c677c22f256ca6b65cde
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-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
8d602e65a6171c3a48b23d357121919d57743c098c6f57442e8b7a928ffdd470
BLAKE2b-256 checksum
How to use checksums
fa7ec2be9af1df43b9d8cd291fbeef5d8fe60477da7ca4825fea4df2e1f371dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220703191645-cp37-cp37m-macosx_10_15_x86_64.whl
Size 593.3 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
a26120409a39529d28828b6b2f0fa43aa12a8a089e85942b268776353f862263
BLAKE2b-256 checksum
How to use checksums
41da1b501c4e62f9bcdb20d6d77b1ac846420c2d320c554eadf06275d6243ac9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for tfa-nightly 0.17.0.dev20220703191645

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