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 0.8.0.dev20200121

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 0.8.0.dev20200121
File Actions
tfa_nightly-0.8.0.dev20200121-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp37-cp37m-win_amd64.whl
tfa_nightly-0.8.0.dev20200121-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.8.0.dev20200121-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp36-cp36m-win_amd64.whl
tfa_nightly-0.8.0.dev20200121-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.8.0.dev20200121-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp35-cp35m-win_amd64.whl
tfa_nightly-0.8.0.dev20200121-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.8.0.dev20200121-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 4.1 MB

Release files / tfa_nightly-0.8.0.dev20200121-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp37-cp37m-win_amd64.whl
Size 849.5 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
e5d4584bef26c09c1293507ba32e43a4f805491124e8fe912ee69cd8be0fd948
BLAKE2b-256 checksum
How to use checksums
572f4c0487e895ac6ba576f6a2c728624b487643f1b868a26ada50746ac4ad9d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

Release files / tfa_nightly-0.8.0.dev20200121-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp37-cp37m-macosx_10_13_x86_64.whl
Size 525.5 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
527b0171ac5c2b743d0927e10c083b458d0f2ffcc8e58df425cbf5b5149cf350
BLAKE2b-256 checksum
How to use checksums
503d9fc09338c9e1a7dd54a984a5ada826be726aa948f36b82b3fb4f9631d4b1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17

Release files / tfa_nightly-0.8.0.dev20200121-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp36-cp36m-win_amd64.whl
Size 849.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
bfa977c8b94eec94e28580c842f41507e9fd65b20864eeb901a099a4910dca5b
BLAKE2b-256 checksum
How to use checksums
2e775e758f7ee8208481bb126db5def71fa16bdce610ddea8d79bc1d0541078b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

Release files / tfa_nightly-0.8.0.dev20200121-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp36-cp36m-macosx_10_13_x86_64.whl
Size 525.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
81b4f71ba434e51d916d588a1c513e38a12f1f2ed06b1f4c970fa2f58373dd59
BLAKE2b-256 checksum
How to use checksums
4ba0da2cb7470f21e8521a9e1117da42c7b27b7685badcce54abf3efefe30fa6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17

Release files / tfa_nightly-0.8.0.dev20200121-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp35-cp35m-win_amd64.whl
Size 849.5 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
bd48a81f6dad3cedcace1ba2f8ca00564a2f3fc2511fbfdb4b56d540f01d3b1c
BLAKE2b-256 checksum
How to use checksums
328fa86692084e48b71dc8f7135922f99877343441fc6df04f9a66e7ac8eaa55
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

Release files / tfa_nightly-0.8.0.dev20200121-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.8.0.dev20200121-cp35-cp35m-macosx_10_13_x86_64.whl
Size 525.5 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
01b009b9c43dd404292edc92a464461268774a1e5ebc69aeb5032506e8ad15ba
BLAKE2b-256 checksum
How to use checksums
79ae1caf59f161892f88e5f4da9e91498c6360aa92598d751caf5f845384875e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17

Security for tfa-nightly 0.8.0.dev20200121

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

This release
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