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 0.12.0.dev20200827234353

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 0.12.0.dev20200827234353
File Actions
tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-win_amd64.whl
tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-win_amd64.whl
tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-win_amd64.whl
tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-win_amd64.whl
tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.6 MB

Release files / tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-win_amd64.whl
Size 916.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
dbcf4239ef75284f998b6c675d51b06719ee5394f8c3182601ba7cd9f6b9bae0
BLAKE2b-256 checksum
How to use checksums
7e4d648de3d2c0b349a5027781c455702c89738f24a9fc35ef6cf955d20cc054
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-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
4a14a4f904f749f4069cdd84c008eae0a3d867f1ebd19805ce474ffab278dd0b
BLAKE2b-256 checksum
How to use checksums
47a0e16d71293783e93b584d123d06ffd5a7bb94eff74f6c32d923f7b8217e28
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp38-cp38-macosx_10_13_x86_64.whl
Size 619.2 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
4cfb25ce28abb400f3399cc9a372c83da02147f0549dc86dd1448f7e95974817
BLAKE2b-256 checksum
How to use checksums
d24ffdb5635ad1828e33c8fa3f60154c7cae19bba95597edde2e55eb27fbc31b
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-win_amd64.whl
Size 916.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
dff5bdfe26139b063a5ce25fa8c9c8c2412b788e768f81cb2b5b6b058471150f
BLAKE2b-256 checksum
How to use checksums
f88d303c42ebaccc089e987a25389c4cbb7e4f539b3331acd2b4a865a26c7394
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-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
2b7c10077976c3d5fa3a1d28cac677809caa99dd57b01732fbddd95469216a79
BLAKE2b-256 checksum
How to use checksums
063a3c2d5abbf51e8500385ac0952640d0424de1177c8e6964b6ee2d0d0bcfd3
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp37-cp37m-macosx_10_13_x86_64.whl
Size 619.2 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
edaeec85dc0c9f88e95b3a39824084379705190a6c3579d87d71e0e61eb7217a
BLAKE2b-256 checksum
How to use checksums
e3d02a4143d3ec5df422080dabeb3f05319385fb5571545140747cf3fc35a5c1
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-win_amd64.whl
Size 916.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
cb369b36d623d8829fa90e825316f5d2cb84eae4bc684260089d25c05ad76423
BLAKE2b-256 checksum
How to use checksums
5c0dbd831bbbb1fb14699655edb182a012171744980d1e427bce4ef0e3666e9c
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-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
9eb6d6c619f3439a88316713dcbfd6f85c038571b029fd1f6b54ce8fadc5ec58
BLAKE2b-256 checksum
How to use checksums
40c1e21ec592ef3cf9c0c432a01062d9edffb43209cfd497ffa71b42982caa91
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp36-cp36m-macosx_10_13_x86_64.whl
Size 619.2 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
fc3d5bc716312478a8c4e4651e97bb8da457eb1033ad1f3fa7c863ed6a35a00b
BLAKE2b-256 checksum
How to use checksums
04330b3318129d1f2f4a57a8a32b6665bbc6c2705c999be28e459c45a3f0f854
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-win_amd64.whl
Size 916.6 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
e2ba9b4f7657daeb51c1dc0b6b1a8b59315fcc6754c4c5c96825af73dc9eeb09
BLAKE2b-256 checksum
How to use checksums
ef82946392168474eee1a3f09f5d45311f3b0e0c89cc531f6c46a05269525539
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-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
be1f5c0f61256a4c95f31713dde8ec02b0b0d4182d4b52aafbbb18e40b704659
BLAKE2b-256 checksum
How to use checksums
07202b278b2129bc9e5c7c61e78d1a86027c091028ad907a15cfe31c6957cce8
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200827234353-cp35-cp35m-macosx_10_13_x86_64.whl
Size 619.2 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
27593b920574a91e2ac94b50593d2089f960cdd239cb12504d7ced6bd6b0f218
BLAKE2b-256 checksum
How to use checksums
2ca14d619719ac7ee378033aaa745670a372a9870b465476f00ddfb2b1b50f0a
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/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Security for tfa-nightly 0.12.0.dev20200827234353

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