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.dev20220824201737

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.dev20220824201737
File Actions
tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220824201737-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220824201737-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.dev20220824201737-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 84.6 MB

Release files / tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-win_amd64.whl
Size 750.4 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
575654e3645ddd92ec29c96496408b4076432b9d87ac3d79574af12c4f19eafe
BLAKE2b-256 checksum
How to use checksums
1443405872c1f20995b7d303ff39799b9c8c9722168f8c21e509472edb53e637
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.dev20220824201737-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-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
8a74c31c7aa9f0b72e4e9702a4681f3e4e898ab0a782347f570dff4d97208902
BLAKE2b-256 checksum
How to use checksums
dc0eb8e707422cb10b606b29ed7efdee3b8618dc52058e680393414a535a6e4d
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.dev20220824201737-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
72740da3d193c4f8fa58e8f15fd4adbde5100846a5db8afbae128e7b7a1a02c0
BLAKE2b-256 checksum
How to use checksums
9871c6e0b24774170a9276e64bfe6a70dfb28182ee81e7744c6537b1e640685e
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.dev20220824201737-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp310-cp310-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
3b1032dda104f7d551063af455d405f51cad2903c9f2f9265a674b41dbf2700c
BLAKE2b-256 checksum
How to use checksums
eca7bf8c2b7b2185d4d882469e1cb6050d1a15214ea4035ea9310bec037a2ceb
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.dev20220824201737-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-win_amd64.whl
Size 763.6 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
e320ed1c8ccb8b1a91c8eb6a33ecff22536d6b58548d7213437603e3bdce66be
BLAKE2b-256 checksum
How to use checksums
efc65444a439a2fd832c8e2a815661e3c942a9bfc6831e312884e047e0b4ed33
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.dev20220824201737-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-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
4c81dfd7f2f46c3c2c543ac576b5d9f946e0f9b0d9ed8e12e89cc22e6e0e6ae9
BLAKE2b-256 checksum
How to use checksums
126cf4df26d41a0e8d34d1416d8512416df76be0217be65fd71d89d5240c2f9d
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.dev20220824201737-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
9ebb2e5ac7465dcfdf3c878273de2562a2de39a1096dc7d972fa020f5780ccc7
BLAKE2b-256 checksum
How to use checksums
804ecc887a7cf095e77751c4c9b3577172d3c5bdb5296b0891b8e588b12ff98a
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.dev20220824201737-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp39-cp39-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
9b8118b14911d1dc246e617b6c5bb7a8cc6873a9760439eff9df35dd0be44854
BLAKE2b-256 checksum
How to use checksums
4c33f0e0189e2ec46ecb2c65a17b0c3a75ee524f949eab2d842f7deaa0ac36b5
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.dev20220824201737-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-win_amd64.whl
Size 763.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
33f0953ce9e7eea0f5a61c74c57a3642c561ba98b5144e340d17b77623c9798f
BLAKE2b-256 checksum
How to use checksums
babee901b58f3c41824d984f782e3ba54a47397ca32e92de3994b0b8add0e015
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.dev20220824201737-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-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
7a494054c01fa080acab56594ca16f994e8ed7a100c3ee4e2384d9bc092f9550
BLAKE2b-256 checksum
How to use checksums
69b289e6d44311a36ff8cffd4b4741c68a69d8a19e7c496352ea3f19390ff6cf
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.dev20220824201737-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
da4760386afb87978d8f677d00b177a0602124270240490a1372d9c2c2c533d8
BLAKE2b-256 checksum
How to use checksums
d55d6851faeef9bbefea5eaaeb12896cca6d33b1dca819a5f162bd85c121fe2c
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.dev20220824201737-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp38-cp38-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
5fcb857c67213d957ae44b52696ee38d70e48dd82278ab7a11b4097abb1cf29a
BLAKE2b-256 checksum
How to use checksums
61beab4c03b199bcb2d93717df695eeafd0ec12f487516ec6b4a2e165d049aac
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.dev20220824201737-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp37-cp37m-win_amd64.whl
Size 763.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
3b541b558fbc9bc4003e0dfd34db4f217a29d35278ab10445ff1f3fa4d82d8a5
BLAKE2b-256 checksum
How to use checksums
cc94cdadedcfbf2d717ca31bfbea8b7b0143e0cf099d80a4c1af9b8a3114ad4e
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.dev20220824201737-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-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
d7258888e6cf7d0fa3cab93ca110fc45e9d176354a69824727b5ac4451f5aafe
BLAKE2b-256 checksum
How to use checksums
edeaaf45ea037911e224ea225cb0c4ec5f12aacb80fbcecba0f92cf9af7da663
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.dev20220824201737-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220824201737-cp37-cp37m-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
70ad2bf848694b03281d8fa98e1994b1195c8f44726c7665367538b93a445528
BLAKE2b-256 checksum
How to use checksums
917ede4568b0e0c6574a76219aa54193af896e5ce3f7a9bd684c655f768447ac
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.dev20220824201737

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