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 0.16.0.dev20211116015154

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 0.16.0.dev20211116015154
File Actions
tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-win_amd64.whl
tfa_nightly-0.16.0.dev20211116015154-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-0.16.0.dev20211116015154-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_10_13_x86_64.whl
tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-win_amd64.whl
tfa_nightly-0.16.0.dev20211116015154-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-0.16.0.dev20211116015154-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-win_amd64.whl
tfa_nightly-0.16.0.dev20211116015154-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-0.16.0.dev20211116015154-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-macosx_10_13_x86_64.whl

Total release size: 8.5 MB

Release files / tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-win_amd64.whl
Size 758.4 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
b103fd959e2861dfa1e87944adfd5d7b3c7812fb636064559c69bf4bc6c38559
BLAKE2b-256 checksum
How to use checksums
290784007ba933cd321112bbfab42a9f5a3d60869780eec44a0c843f7428c113
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-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
24449d29eedd352130337b7b2d7e5a1bccb2cdd2f0671b2e7b867a10bdebf488
BLAKE2b-256 checksum
How to use checksums
7019f921b114e958a38cf98e82b4fa48004023e68ae705e6906bbd3effef9e76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_11_0_arm64.whl
Size 557.3 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
ea0341086293aed571f163e665365b6dbb8e5c8957dcba6d9a14e49f89892f9f
BLAKE2b-256 checksum
How to use checksums
e1ede91472eb59ffed9c55478b3ad479925f864e5b1c1ebdd54d6b745f71c5ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp39-cp39-macosx_10_13_x86_64.whl
Size 586.9 kB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
8913b726290017166fff3ef15b43edbfc9ba8585b4acc405e13b5c97b223e5da
BLAKE2b-256 checksum
How to use checksums
03f06981a37a67de156a40f97e9c8952b72d24d873d2426877359b5a1d7240ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-win_amd64.whl
Size 758.4 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
e272dd372790c8928770e94f8894dd95b8e6ac9f34d4577de9a45b0883945c54
BLAKE2b-256 checksum
How to use checksums
ac9e7afa898db7562422596eae2104b8a41681cd3b79cfe4c628674835c6bd88
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-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
936b556140347f79af39fb98894e90f43e27134350844ad53d22a02471d0e868
BLAKE2b-256 checksum
How to use checksums
ecbe40594cda50bd4dcabc5df3b3d2a5d9edb9a9a28ba4d0974c32dc8a5ea272
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_11_0_arm64.whl
Size 557.2 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
aa9c8fcda74157e495141907e4e817da5e99b6beb5ea239726881c9358749f29
BLAKE2b-256 checksum
How to use checksums
4be7ea028d7f8960997f31b91a8498eb60f0efcd2add5955289d624d17a934c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp38-cp38-macosx_10_13_x86_64.whl
Size 586.9 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
1d61f050b7daaad6b5eed171ca0858328aefcfabfcd0f6e58bf5d89d715eacc7
BLAKE2b-256 checksum
How to use checksums
656bbfc5c010fde3e6480e14ed0864cd05d491e01802d48ae5bafc7b19e192de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-win_amd64.whl
Size 758.4 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
ec4da8791ed4eb94ec2f1a09ee34eb7648311df8af716abbd038d90ace2a4979
BLAKE2b-256 checksum
How to use checksums
c612b8919e942fc1922a5e2ef3a825982f5be35dfe7450ab6f2fc3c35b772efc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-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
bff4a8b97ba74fd2b820dc339c2aa909779247fefde9ecd70ee04682129b4ca2
BLAKE2b-256 checksum
How to use checksums
454870a2932399feedf8c348c70e50f69876e5a83485259f47e8d47e66af6ca3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116015154-cp37-cp37m-macosx_10_13_x86_64.whl
Size 586.9 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
8cd60fa012b02c58c6c44cec4ba937541724fc3599b04fd5e597c24361750800
BLAKE2b-256 checksum
How to use checksums
d7c64f0c95cc233fa753b55cb1e9b16aabb5f96d1ef82d996d466c3aaefd7182
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfa-nightly 0.16.0.dev20211116015154

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