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.dev20220310092416

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.dev20220310092416
File Actions
tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220310092416-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.17.0.dev20220310092416-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.dev20220310092416-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 11.0 MB

Release files / tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-win_amd64.whl
Size 759.1 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
c068210dde1f24b853efe2e696cec660d8aaf646e62b5b5293446f4c5e120b3d
BLAKE2b-256 checksum
How to use checksums
cac053d44f1ebef7df05ee7e77a06bb25f15537f2f76201a6b41c2b7e37cb729
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
9d754ff64c8b09f21659d0ba3bdd7648c67bd8cb4f1127744be1132426d7881b
BLAKE2b-256 checksum
How to use checksums
2b89a36b06a17dc5db5a913b36852278996eb6e036bb1d23b6995a451f52f5b0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
ab3cbafc0db268bae89c60928c82e51adee0b42728ba010c80f1f6d7f4f692a6
BLAKE2b-256 checksum
How to use checksums
ab166cad58a25ec2c96e581961318e7769aff560a356dfd3cfc1f040b60d314f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-win_amd64.whl
Size 759.1 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
16cac6a186c84a01850857c11c3e0878dad4eaa97046304708c541bff1ef88fd
BLAKE2b-256 checksum
How to use checksums
71b73c2c274dc64d6eadf59f55fca033b76975963dbdeace7c9d5749fdf21194
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
9ec5b6fe1000443a10ba40a489fc20ea412a9b14be7a4e9f3f08ea074a25081c
BLAKE2b-256 checksum
How to use checksums
314db7a1ba4a7b7f41555a32fa1ca70afaaf40e7dbbca0fd06035495bf604be6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
4940548f687f2b6bd2561c42197cb5e033a4d759ed51fd470f9f41741b7d04bc
BLAKE2b-256 checksum
How to use checksums
0aa8c97fdf064a708eee2903e9b168c0385b68bab5067cbdf6ac96d1648d5230
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
32874679a1b1518f36da8984585279ce12bc9f758b90812664b06518dc9c66ca
BLAKE2b-256 checksum
How to use checksums
cb28f5ed092adab31d947cc30c96ced4acec7a51c7d6e6048a187170c2844a44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-win_amd64.whl
Size 759.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
84c72997955356b89a0da4d0742aa4748bc6f1285a20d9a432bbeac544e0e05c
BLAKE2b-256 checksum
How to use checksums
180ca301455fac7fccc86a6231aea45e671c2bbdb0f7758c2c87e8abd13fd66e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
8521f216d368b5d68671ace4ef302b529d9ac4520d74e2651327a52235ebdbba
BLAKE2b-256 checksum
How to use checksums
fccdf7f5ca0a8723c782cbe39f4143e569e28b20d42c284cb9f19eb1ec0d9599
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
b20e70f118667ec3a31ff98fc940d49d8c355638471b365149e5d982a5720a4f
BLAKE2b-256 checksum
How to use checksums
b66f25076f688a5efba34c7cf8d4a33179f38394d99bf6c2246a256b7fc66c16
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-cp38-cp38-macosx_10_15_x86_64.whl
Size 591.5 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
a1b5020e46c1e25b1ca973791c3f4708765f7a8470ea3ad1a32962750dc262d0
BLAKE2b-256 checksum
How to use checksums
abb010ac01a9984915de0b49c2b6d984e91f36251157eb63502d879bdcc0bbf0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
766596a30811f8ab29eda8121191d33a83608166d6d745d8537624a92d4f06b4
BLAKE2b-256 checksum
How to use checksums
bc7767c30ae7113a2fe74df7c61071a08d5d3bfc674c439c4c2336cbf8a4c2df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
96369eb7ebcca9f047b33d08fd91e52839891f2076527bb0889e4e7538f6779f
BLAKE2b-256 checksum
How to use checksums
daaf83a3446a4130a82715af13a234b3446e7dd23acdb9cbbcc77739921427b4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220310092416-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220310092416-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
02284884706580b08c6d6438cf991b4c3d954187dce172dd881b8d8a41220eb8
BLAKE2b-256 checksum
How to use checksums
3e50556c29047925530edf9c2ad3bb41ecf6d2a1b915e5b186c1f36c3b4a75ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.13

Security for tfa-nightly 0.17.0.dev20220310092416

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