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.dev20220805213340

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.dev20220805213340
File Actions
tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220805213340-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220805213340-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.dev20220805213340-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 11.5 MB

Release files / tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-win_amd64.whl
Size 763.7 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
2ec47e96fbb3e5f169722f57da4585b3979aa6a45a89e2baea4edde1617cacce
BLAKE2b-256 checksum
How to use checksums
84c6098d530cfb1c0f65ae2e1136392e476e81800cbb949e6564e15d04f3accf
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.dev20220805213340-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-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
ad757820cd47a35599a21ffe3d150e7de3954d1bdd253e188298533a98f3c46c
BLAKE2b-256 checksum
How to use checksums
89d371f6cc5fae1bd6422989261ea2820252e94f3482abbd0dd4ba0421dcc52b
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.dev20220805213340-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-macosx_11_0_arm64.whl
Size 551.1 kB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
fbaf848a557f40349d9c9bc81f3f04a3a973792649511ae9a9dedf22a16c8711
BLAKE2b-256 checksum
How to use checksums
8fc2816b247db6954e1053c0d6ae2385726dbbbd38464f2f46c1f19db291b267
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.dev20220805213340-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp310-cp310-macosx_10_15_x86_64.whl
Size 594.2 kB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
86d8ce23fe15577f76ed23185341eef32981b6a110c7adb310d1dda1fb4b698c
BLAKE2b-256 checksum
How to use checksums
c863d046f7bcfe84cef0a5aade67609de2dea0a7e2d4ad0d9b93da6e6cccaaae
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.dev20220805213340-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-win_amd64.whl
Size 763.7 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
fd7ca88800627ad13602805f06dfa035d65e0c233eb75c9dfd3d5d5cc88f8087
BLAKE2b-256 checksum
How to use checksums
8d2437faa04c7ed94a495954ad80559f1ee9ff5134492bdfb428931df0436403
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.dev20220805213340-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-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
ed69690163877e58960299cca8303785a9ded8301c8b962a20db15f06f951a33
BLAKE2b-256 checksum
How to use checksums
3595be04e6f17c19ba68e09650ab604761b78ac37260ce8632b09ba9de0b797d
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.dev20220805213340-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-macosx_11_0_arm64.whl
Size 551.1 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c01a7792812537bdf484203b4d677c83281c394491b76de06a062dd04954694c
BLAKE2b-256 checksum
How to use checksums
174629925a01a69d0d00a5657d58899ffc9f0370e64259b3cb868aaaad4139cf
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.dev20220805213340-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp39-cp39-macosx_10_15_x86_64.whl
Size 594.1 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
a195cd838bcad88d9902ef5fe84edc2eb7b2d1bac5e7260029b2f9483484a97b
BLAKE2b-256 checksum
How to use checksums
35228e5bdeace0f96facb1a6a0087d8da458c9497eb2d9c9f240bee245e4d61d
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.dev20220805213340-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-win_amd64.whl
Size 763.7 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
f06f5e35be9fd1c53840b2af2189be64c52c67591a9919ff9299d6b36fec43b3
BLAKE2b-256 checksum
How to use checksums
6cc4aa09a427213492d2b60ac5c592ceeccdcbcd802fd7f7337b86c1e04c0206
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.dev20220805213340-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-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
415842d38db5fae2bf4b33b69966fc7d2c433d48806deb9f4b5edb237ad90b70
BLAKE2b-256 checksum
How to use checksums
7b60012469c60055ebf65847b86d904dcc1787c8623fe0dfb80c6a8948dabb47
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.dev20220805213340-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-macosx_11_0_arm64.whl
Size 551.1 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
7f361b9094a8a4aab63c4758680af022860107a94d1c77e6ab1ad73d283a9bd6
BLAKE2b-256 checksum
How to use checksums
82142e41242a6f7e401e04ffd3cba3b8e6f01353e0428b5a98ff81b55acad078
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.dev20220805213340-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp38-cp38-macosx_10_15_x86_64.whl
Size 594.1 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
0777ec5e557cddc97b07f5eb1aa5cd385d19323a622d768644ec163f820e0a52
BLAKE2b-256 checksum
How to use checksums
4e1930f83908b8ba4e47fb28c129cf324ada2131b264fd03758fb5ca22af5555
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.dev20220805213340-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp37-cp37m-win_amd64.whl
Size 763.7 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
76aa352a1912b8ea17a12287d86b15a9e2bf4fc90c668bceac9fd62637b2361c
BLAKE2b-256 checksum
How to use checksums
ea73caa5c4d324a3e86af06fc681a55c98a2e5e79b24e5f8d50de02cef1a4b12
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.dev20220805213340-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-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
56b86855db0887e3f9be762c2f9f5399dc91d61b325df23cc966d32ded3b3729
BLAKE2b-256 checksum
How to use checksums
91b579f97c778249520601f73f925b28f92db7d5f1bcd2509303d53edb44f2d6
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.dev20220805213340-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220805213340-cp37-cp37m-macosx_10_15_x86_64.whl
Size 594.1 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
4269233440ffe2188189cebb13c2a01e4cff8b22205e55fbea9a15a26062b42d
BLAKE2b-256 checksum
How to use checksums
5ada5f8940fc938347d38445f174ed30f8d23fdb876adacc251a13f0b154710c
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.dev20220805213340

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