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 0.22.0.dev20231017041311

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 0.22.0.dev20231017041311
File Actions
tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-win_amd64.whl
tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_10_14_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_10_14_x86_64.whl
tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-win_amd64.whl
tfa_nightly-0.22.0.dev20231017041311-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-0.22.0.dev20231017041311-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_10_14_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_10_14_x86_64.whl
tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-win_amd64.whl
tfa_nightly-0.22.0.dev20231017041311-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-0.22.0.dev20231017041311-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_10_14_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.14+ x86-64 Details for tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_10_14_x86_64.whl

Total release size: 82.3 MB

Release files / tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-win_amd64.whl
Size 719.9 kB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
9cddb07fdb0e254ce9d19fa0babc100160bba669e14d0ded61317fe15566da99
BLAKE2b-256 checksum
How to use checksums
1dc0ab5c4a5109af0fbb820889275f33cedcc3731c7fb085a8e1425cedf74da8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.4 kB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
6edf77f89899bef227cebeec779b4b150c2eb7889cb5c6f24b1646ac6b2870df
BLAKE2b-256 checksum
How to use checksums
4d09cc14eed0791b79afacd231fe1b28ac580910053d45558d0b942c13a0f4fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_11_0_arm64.whl
Size 12.3 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b8c550dd741da5af1b6a47b1870a806a3a35b65a640db8ba445c2a5eb495815f
BLAKE2b-256 checksum
How to use checksums
8a913f84a0de715c36961c2e8a66d1ba4cd6d1e037295137123a47b5103e1cb2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp311-cp311-macosx_10_14_x86_64.whl
Size 13.8 MB
Tags CPython 3.11 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
b087fa50cd3426cf702b31a2c80a2e94917f1a4f06e05b679d5ec613d152460c
BLAKE2b-256 checksum
How to use checksums
139bbf0639a68741d148545a033ef6e75a751f1ea58feb52dc928eb95d90af04
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-win_amd64.whl
Size 720.0 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
64e2c8342411448688d502b53bb00c068ac7f3001a5f47b8cda1b03fe7f2f2b7
BLAKE2b-256 checksum
How to use checksums
368874e957058d19f0ed61c209c6dba749294a422a628f622c01d2726516f733
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.4 kB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
1bd12b1329bb564f3460a9d2a27ecf374b59e638df45479043440169587f0f65
BLAKE2b-256 checksum
How to use checksums
d1c9a977ed1b1e564994f2906214b9cc39dfdbc8d46c5e3f231a9df10c0ce230
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_11_0_arm64.whl
Size 12.3 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
1ee2e7b38af4a2a00313622fcdbe0717cb45b9074e8e12580745ed8c978538f0
BLAKE2b-256 checksum
How to use checksums
bf898bff9e49a4b7b4f404dfe1331ad9ebb1f5c260697fff355e50b7f288b64b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp310-cp310-macosx_10_14_x86_64.whl
Size 13.8 MB
Tags CPython 3.10 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
9860297b0edae546d24e8f4b109a056014468a5cbfcc4084ff9b62a38b53a28e
BLAKE2b-256 checksum
How to use checksums
6714bcedec8be08eefc2e74005f04198a6af404c2719087688c62fc97ec250a3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-win_amd64.whl
Size 733.2 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
f71d2bf63f714dcc010738363ad59722c10e23199908d9eab21111e08f8b49cb
BLAKE2b-256 checksum
How to use checksums
7f9ad39ae47fdcbdeb9aa05f31ed35f08ac290df18f691eab01f1565787f90d4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 612.4 kB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
bb9312eb63ca27581adfe336cf9c5019849cdbe46519e7d68560512e394d6011
BLAKE2b-256 checksum
How to use checksums
ef0a533d3645d664354407a6d8ee881e5da7b4a4331430fed31bdfb6c0cfc5eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_11_0_arm64.whl
Size 12.3 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b2d7b4cb5f533b6dc685993efa8770c27c9833fc0be44bd8f3fd8365dc705845
BLAKE2b-256 checksum
How to use checksums
517691d6564f219fa5a08500ea1b4932ffad1eb00c8dfcd70b406132c75b0ea7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Release files / tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_10_14_x86_64.whl

Download URL tfa_nightly-0.22.0.dev20231017041311-cp39-cp39-macosx_10_14_x86_64.whl
Size 13.8 MB
Tags CPython 3.9 macOS 10.14+ x86-64
SHA-256 checksum
How to use checksums
b3f1469332892b8c4feaee38a25583004cf47db0e75d2854b363161b6cf2b4f3
BLAKE2b-256 checksum
How to use checksums
2ccc7a3d899713cb2576af11bbdfc4fcfeebbc73576a49f0c77650a5090c7bfe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.17

Security for tfa-nightly 0.22.0.dev20231017041311

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