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.dev20220103155136

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.dev20220103155136
File Actions
tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-win_amd64.whl
tfa_nightly-0.16.0.dev20220103155136-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.dev20220103155136-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_10_15_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-win_amd64.whl
tfa_nightly-0.16.0.dev20220103155136-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.dev20220103155136-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_10_15_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-win_amd64.whl
tfa_nightly-0.16.0.dev20220103155136-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.dev20220103155136-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-macosx_10_15_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 8.5 MB

Release files / tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-win_amd64.whl
Size 759.1 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
7d4ab5ac29724a5ae3d0a314ea755c0be714f2a5e6f6bd529f343a4dcd8838c6
BLAKE2b-256 checksum
How to use checksums
2e452bd12ed517e3ac4e5f2fd6f46e74c26c775c7fef4fd1cebd2d834117b15a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-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
0160ddbc8a31a7770471965ca87a7b747b69a6684ecf121d100f1587752221f8
BLAKE2b-256 checksum
How to use checksums
1326faafdb2d7b8bb6bc02a0832fcf6f3dea0f26848a0164de28b337c9645914
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_11_0_arm64.whl
Size 549.5 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
825a28e55c6ccddc5b6581e2b8c92385525b9f0d4129b64aa90d2362e4f00aeb
BLAKE2b-256 checksum
How to use checksums
0752495899cbacd4352f0b1e0ea09cd2197f63c2a2dc7fb1ef87de64be5e7bea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp39-cp39-macosx_10_15_x86_64.whl
Size 587.6 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
a7d581de180fe015adbb940bbba1f165047b0c425fe1325e3a9a84ce691a678c
BLAKE2b-256 checksum
How to use checksums
71c759c21ea74d83e0eef9af70719d6d16b85cc916c2abaaf27aed77fc86d0d2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-win_amd64.whl
Size 759.1 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
ab960f4848e1a65e4cb166387a8086f0932bd3134405c6105524af7694066a15
BLAKE2b-256 checksum
How to use checksums
b8e75939a92a5b186b442045f0b351fb770bb02b56a660d7b63e8c11f298d0e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-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
3e161dc05829db3b9a28cebc091a0c3927179a407486bd50d4f82ca01e8030f8
BLAKE2b-256 checksum
How to use checksums
df135001b22c7022c4b3082653aaed1fa9c52e66304c73ce54444131d1a6850e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_11_0_arm64.whl
Size 549.5 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
dc4a39338f4064bdc0d745f8595360d98b047e3e37205334c35fce4663b337af
BLAKE2b-256 checksum
How to use checksums
c25a5c68b5f9977d933f9931ad3b0f8cfe1542a8ecf694363f40dce5a7bc9171
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp38-cp38-macosx_10_15_x86_64.whl
Size 587.6 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
0549367c821e43a284f39406bf684160b3c1148697aec48c474cac92a1eda76b
BLAKE2b-256 checksum
How to use checksums
da104c73e19cec6719789fec33f19f49de3f27737e85b89ae8b6d367c0f96ed8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-win_amd64.whl
Size 759.1 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
c1efb768511c464ef08b57d1d77e0439975f7e2b6fd98b0f059540180518e17f
BLAKE2b-256 checksum
How to use checksums
87a9f7b7531f20ae00ad0b9153c13348c14acf299b45105463d262404da58bf4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-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
96c1c345c7d1fb2bf549a16f70479d1c042799fd77815a41aa3bdf74b15a7485
BLAKE2b-256 checksum
How to use checksums
31e1d04f1f1b352f25ad5f44383485726479df5015f02d237305cefb617b75eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20220103155136-cp37-cp37m-macosx_10_15_x86_64.whl
Size 587.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
6e984da3df304b7b822a11fff605c25cee6e04fcee1bbf46cfe0bee3a2f1874d
BLAKE2b-256 checksum
How to use checksums
de1e0516578d38a0cab24b8b01f1dbdc74df8e983c80f135e40794b45d54c476
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfa-nightly 0.16.0.dev20220103155136

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