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 0.13.0.dev20210324143012

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 0.13.0.dev20210324143012
File Actions
tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-win_amd64.whl
tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-win_amd64.whl
tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-win_amd64.whl
tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-macosx_10_13_x86_64.whl

Total release size: 5.2 MB

Release files / tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-win_amd64.whl
Size 600.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
864546bcf7fbbf4f66b220e9ee5b34ccb4f134f9112906218da0c138f6a30261
BLAKE2b-256 checksum
How to use checksums
1dd5cf7553c7c30c0a950fd65e38faed6db9b088332d0de09595aa191bdc2b6b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-manylinux2010_x86_64.whl
Size 648.6 kB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
6b1318e0984f62950faf256865666902fcb5f8992c362eb7b74d0aa0bae2577a
BLAKE2b-256 checksum
How to use checksums
3eddc583d261a2931bb33fe348bf5d5755333216c0ba9510a9fcc54c507621ed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp38-cp38-macosx_10_13_x86_64.whl
Size 491.8 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
ae4619cb0d0ac1729a411353298b65fcba3fd9ef24ada4ad00ee67735033d0a7
BLAKE2b-256 checksum
How to use checksums
c3067252cc59e7f0d9fbc4118d538b7fb7bdf11f48d80f6d6136d576b42635a9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-win_amd64.whl
Size 600.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
80997b68718e5470f3b088adfc80d68619d56dcb445dd86570fd143dfa2ae099
BLAKE2b-256 checksum
How to use checksums
6a96fd06a60e0e8bb8a649bde38d704652a6312c033719540259d12bc0380c85
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-manylinux2010_x86_64.whl
Size 648.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
f31b27214a5f08ca26979e330bf2a5a4672523850f1c0306af7c9071e3bf595d
BLAKE2b-256 checksum
How to use checksums
73244307ca605218a9ff7006648d98542452a992baab0d3f43ae688aaadfa767
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp37-cp37m-macosx_10_13_x86_64.whl
Size 491.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
87b202e521ddf252ce66c33eb916c39c6a9628d365bb707fbe989add2042a908
BLAKE2b-256 checksum
How to use checksums
0cf71140367c7273fe9b6e2403f2b754f3ffaa060ab6c445d2be31a855ef47c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-win_amd64.whl
Size 600.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
cc955374cdb52b287a2f7ccc79feef06176d7b7c826a2e09d8e422473d191379
BLAKE2b-256 checksum
How to use checksums
74601e68a7adcf6674b35c44d18fc47e0f2458b2b099deb44f27386dc8e61841
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-manylinux2010_x86_64.whl
Size 648.7 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
53b2d8315e511211f43d5b5501feb4b92fac26820ce1c22b97fa15e586f0cf17
BLAKE2b-256 checksum
How to use checksums
8b9eea2dfc13d29f355cacc155cdb8ad6133527fcbef5e1a52bb33516c5ef40a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210324143012-cp36-cp36m-macosx_10_13_x86_64.whl
Size 491.8 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
c7d37387be6cc8935f4bf3d7fe4b680b38f286a309db9f57906fbb31f928b8a6
BLAKE2b-256 checksum
How to use checksums
ff2c30136e4743f21166d987a66590b2d82870def0a95c61bac9dc7b4fa9cc99
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

Security for tfa-nightly 0.13.0.dev20210324143012

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