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 0.11.0.dev20200630231055

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 0.11.0.dev20200630231055
File Actions
tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-win_amd64.whl
tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-win_amd64.whl
tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-win_amd64.whl
tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-win_amd64.whl
tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.3 MB

Release files / tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-win_amd64.whl
Size 903.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
2489cfb738f0f866672a1ef5ce8d326f6ba11977621150ac276c53a8f5d95341
BLAKE2b-256 checksum
How to use checksums
6faa471ba27dc6c6d586399c9af76cfe62904bac3df177602e0d2dbaaf201e9f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-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
1991e2167b98773bce0502076c85978f89ec0c76ecb0883100b7d178c093af69
BLAKE2b-256 checksum
How to use checksums
46d1ab821f8fac9379fd23f4544c6d0603456d4faaf6d9a8ad441a542bc53385
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp38-cp38-macosx_10_13_x86_64.whl
Size 597.5 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
aee350f9d6ab57f1811266022cddf351af56de21dfc58786513070a7d73a703d
BLAKE2b-256 checksum
How to use checksums
b500dc47226130d6b5874504a937f6c8a8e654d1b782f79a557b6d9b0b4122aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
8aa7f439efcd37cf3a8a6f002fbe82e546f45d8d255dec6a2256865cbf1bfc28
BLAKE2b-256 checksum
How to use checksums
bdbed3272cfedeb37b93fab741cdfe1340b3f60c788c4ef3c3f47123e69167f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-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
7534e678a5966dcebfa92d38b49cd2005000a741811e228b6778f089f7c88b9a
BLAKE2b-256 checksum
How to use checksums
d3c90d4ed584d5d7c9c2f0da3a1e9272ca7d64d17b9d459215fc2556e2efc23c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp37-cp37m-macosx_10_13_x86_64.whl
Size 597.5 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
5b60fa7756fd84580b1a62ec9a95e50f2d73a0c9e898cac16bba9b9951952ad8
BLAKE2b-256 checksum
How to use checksums
ac80bf17ee17417448aac2379953df91882b9afa10c6994a742fbe57223a4c76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
5664fe8a59f3405d80df6a109fa5c6cd58925ce7ac08b0fb9a819d537018ee60
BLAKE2b-256 checksum
How to use checksums
e960a5812bb7ee98a6417f2a7466ab4613409703d052a6c1c047712abc1062f0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
ad46d6e745e1c097c7dbbf6661408d66eda7290dd47a8b6c4abc33fcf4b50952
BLAKE2b-256 checksum
How to use checksums
cd59ab6a687195a205db937eed98b67a1d9065dcf1fb10aec6b926cb0977e90c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp36-cp36m-macosx_10_13_x86_64.whl
Size 597.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
2f264c98f33cc21e86a45e52d5b03584d4058ce12215099947b6497bfb03e0ed
BLAKE2b-256 checksum
How to use checksums
8ba05cceb76cc2e6eed81eda3a6a1e9a937a4c77feda71b751dc42411a16dd7d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
7521f7fb0dca2969d2b7ff8b0166f1adae383573424ba072eb18ed7f7ede939c
BLAKE2b-256 checksum
How to use checksums
fcfff544cf927c4eccb88a9e9fc8d84cc5ae622b7f833a055b00c0f3593b4b59
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
3f2864aca643b514f508acde7963e8dabc2799f50b368352a143dc081b26b060
BLAKE2b-256 checksum
How to use checksums
dbafc6358a949342bd08bfb2221302f8b07ca90b1789c1da8698aed3f59b2582
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200630231055-cp35-cp35m-macosx_10_13_x86_64.whl
Size 597.5 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
52db0d7687592bcb4e93c2c9eea073e837b3309708ac6b9de57124b03638a2d1
BLAKE2b-256 checksum
How to use checksums
901ba396b70de02b57f7c565bf752a8ad23f9ba667b248472b51c9a6c96c185f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Security for tfa-nightly 0.11.0.dev20200630231055

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