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.dev20200626160902

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.dev20200626160902
File Actions
tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-win_amd64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-win_amd64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-win_amd64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-win_amd64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200626160902-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.dev20200626160902-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.3 MB

Release files / tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-win_amd64.whl
Size 903.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
676d077c858779fb4141e757efc4472b419f7a9b3332d6d7039348ad10d4cd24
BLAKE2b-256 checksum
How to use checksums
309f77b94f5611cdfcf225bec305488022cbbbd3ca9ad62eb0de6f64f305ec95
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
8f6022af9178625a55235713f47a0302bb757b2250217e947ce836ebdfacc9c7
BLAKE2b-256 checksum
How to use checksums
f5e4d69dd64e9452d83df675865feabe60a8b3453c5f669e60219a2d0a2821cd
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-cp38-cp38-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
d0066810d7c5c515c38719c59d8d7204edd0471700b04bcc47903d6d784430dc
BLAKE2b-256 checksum
How to use checksums
d28f69ed11fcfbe2911533f6dd5023050afb021ccaf72fcc499ec9c941f17efd
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
35d9c18352123040bd3d2227f4adb6248d33da182fdbc6474561813b70f53f78
BLAKE2b-256 checksum
How to use checksums
fa8fd41c35194fd190a3d667c33c756915b20e5e69862d2fc98b1727d1599e68
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
a33f188df344ada1fbcf7979307f432be656c47ce5958abe54127dc64a2874d7
BLAKE2b-256 checksum
How to use checksums
919747f44c8eaa3eeecc5524f5fd7e56b912e59aaf106c6ade38bb07cb4ca988
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-cp37-cp37m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
013d0c69427718c9c10fa6ea64b9b29bab90e9b7cba57ff797c2827a1b023f95
BLAKE2b-256 checksum
How to use checksums
4fb00f9660085721e14e7818e353c370d55f654507df857e12b80dc4072b00f1
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
67f0db4f5d3705d5a584650db29e59a064c2885e37feb297132319f4813be20a
BLAKE2b-256 checksum
How to use checksums
841471f5b12380d8611630e528b9574281fa609cfa4da8642f4281b436f8a326
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
01ddf3d622947bada0adaab9cecf84e1d603e1c7b16547b9df218077904461fa
BLAKE2b-256 checksum
How to use checksums
8767559feeb3a13452de3e3bb32b017ffa0b383891fccc6f53e121ccebb1a8c4
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-cp36-cp36m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
22a7e1e6b3032827150b67dea311296a57b19d013cdab1032260b02eab7e3821
BLAKE2b-256 checksum
How to use checksums
74b15dab2678e97396e499b489c8872e5773889da139bd60ea13cf1fe95927eb
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
a8d97a1f15c557069ef096d8fadb7a2c3fe4af6facae9f7f8ab84064fb675068
BLAKE2b-256 checksum
How to use checksums
5284e57b9259f0867d7ae86990d558277ac42d587317c4f353207d185d728906
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-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
54ea019ee62ae6e1b537f3ed1f32e5bbbc51283c4eb35edda1b6fe3474f80342
BLAKE2b-256 checksum
How to use checksums
25a223cab9e6e69b1ed7467b36a50028b0a5213890ad88ded7ed9c494d652839
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200626160902-cp35-cp35m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
ff71ce3431d9c5d4666db6975c95f428dbcbff70e1db99d20b4415f6341e20a8
BLAKE2b-256 checksum
How to use checksums
6cb4ed13ab1a92643a2781ec9b16cbc7f44ca47d6afe7615afd3a7db98497bae
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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

Security for tfa-nightly 0.11.0.dev20200626160902

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