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.dev20200518050515

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.dev20200518050515
File Actions
tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-win_amd64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-win_amd64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-win_amd64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-win_amd64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200518050515-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.dev20200518050515-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.1 MB

Release files / tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-win_amd64.whl
Size 893.3 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
b79afc452442bd564a9c85057fec5c506212497f3077324e9bfa42bb18d28c93
BLAKE2b-256 checksum
How to use checksums
f0c41f9f3ef1e5d8f580576101731af12ebacfb6b21ad15ce558711e788020ca
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-manylinux2010_x86_64.whl
Size 1.0 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
0f9c393ae1d60cafe8ad64a48ac902c12185ec1f2bca32c51c5792eeb2a8b125
BLAKE2b-256 checksum
How to use checksums
55a89d662b971997ecfc0d728169d67ac830744f029c2cd1c2bb5aa3bb9d90e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp38-cp38-macosx_10_13_x86_64.whl
Size 588.1 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
0036ccfaee36ee05b88cbfbe20179538759c2f266bf9d249291812731f9dcbc9
BLAKE2b-256 checksum
How to use checksums
929dc1c21d6da3c7a5baeebec346d520ef24800824cadf29e783d747dc774012
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-win_amd64.whl
Size 893.3 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
02069e6291677cc0a896ccdeb30e0b147ec71f49b197c020f805c610f3fe7c4c
BLAKE2b-256 checksum
How to use checksums
ddab743239f0d702dbc989a53b8967da6fbe65bc132650daf024778f3043469a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-manylinux2010_x86_64.whl
Size 1.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
d9d520a8992419eeea8084a3d29c8da5afe17079ffccde635447b2eff2b6ab3c
BLAKE2b-256 checksum
How to use checksums
3557ea6ca4960b739b00b8450bdf51294de2631e0c801a6f8d9351b9c3c311be
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp37-cp37m-macosx_10_13_x86_64.whl
Size 588.1 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
3a0bf4d1b4bf28b7ab1affd45b896e055ddd887a59d17ca82cad654ce44a083d
BLAKE2b-256 checksum
How to use checksums
de435ffb3c158fa8c78bed2621738b96bfafd81cf4c6d9f093fc90a905d7a088
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-win_amd64.whl
Size 893.3 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
065d57239992a9da689bd07e36764ee80c52a9d3ca39acefc0541215675d993f
BLAKE2b-256 checksum
How to use checksums
3d39c2f407477548c802ea02a2e99ffd32b875b641c3b1c51eb646613bd38611
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-manylinux2010_x86_64.whl
Size 1.0 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
7c34c2d473ffdafc92e2b992d01514acad2233e622ee6a107f2c5d9ada83e262
BLAKE2b-256 checksum
How to use checksums
74ce599c6e202a24b6044a45c836813d3907728ddfc73a364f33a11c5cf9f171
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp36-cp36m-macosx_10_13_x86_64.whl
Size 588.1 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
11986f24551a1ecd27f33124995f98e11e8a439a511c289f911090f3326b7e8b
BLAKE2b-256 checksum
How to use checksums
04e468276ef47500a398dc97d7198a3b421946c6356955d8d060677601a061ed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-win_amd64.whl
Size 893.3 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
5d20b30b7a2c57f44a12002188733fae15f607403c823822026d5a4832d68d62
BLAKE2b-256 checksum
How to use checksums
3dd0c145d26742f1d5aeefee68c4874937293cfb18ff31eb07a9815115a82c6e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-manylinux2010_x86_64.whl
Size 1.0 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
908b0c38acaaee1715fca93170cf344c416d145303b3b3bb8d7c2c74468879a7
BLAKE2b-256 checksum
How to use checksums
4af78af18bc98c77035df194b99c354addab37a1a2cc7ee909eb6e1c029e6c35
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200518050515-cp35-cp35m-macosx_10_13_x86_64.whl
Size 588.1 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
f6bf63d42d759cbba2b2e45c99a899ba9bbaf7152ad0be6568167b2120c551b0
BLAKE2b-256 checksum
How to use checksums
feb76ba1d5399e763d628c44495f24e4c6646cb118b956ef10ddf0232cc5f1b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

Security for tfa-nightly 0.11.0.dev20200518050515

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