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 0.5.0.dev20190709

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 0.5.0.dev20190709
File Actions
tfa_nightly-0.5.0.dev20190709-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp36-cp36m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp35-cp35m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp34-cp34m-manylinux1_x86_64.whl CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp34-cp34m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp34-cp34m-macosx_10_13_x86_64.whl CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp34-cp34m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp27-cp27mu-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp27-cp27mu-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190709-cp27-cp27m-macosx_10_13_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190709-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 4.0 MB

Release files / tfa_nightly-0.5.0.dev20190709-cp36-cp36m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp36-cp36m-manylinux1_x86_64.whl
Size 563.3 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
d922b7ebfa5bdb8593e38cbf848388c447f52b3da703a2c5f0842e88bf55de4c
BLAKE2b-256 checksum
How to use checksums
5479c2ed036c40866c5a8c0cbd930564861413be8b89066a55fd0c809e683373
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.12

Release files / tfa_nightly-0.5.0.dev20190709-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp36-cp36m-macosx_10_13_x86_64.whl
Size 450.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
25aae8e71746d6530ef94eeddc846cb5f40d12c4a3225841b407f38eb1ec6263
BLAKE2b-256 checksum
How to use checksums
d41448f876ee6900908a2319a95b1e59c1c0be8eecca1e2179ac91bdee5c73c8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190709-cp35-cp35m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp35-cp35m-manylinux1_x86_64.whl
Size 563.3 kB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
4a3c43d8bdda809828d59df38438cc532e2bd06d93472eb8415c9722ad490005
BLAKE2b-256 checksum
How to use checksums
c6fadb243a74191a75265d6c74fb8536c9973015389c3a149013b14007a7db5d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.12

Release files / tfa_nightly-0.5.0.dev20190709-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp35-cp35m-macosx_10_13_x86_64.whl
Size 450.0 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
21e6d5e203f50670998f3022bb81fb7d9cd0b5bd599bc67f61d0f60a94557ffc
BLAKE2b-256 checksum
How to use checksums
a1a01dba2a293e169bbd35a224be737a93a6e5fb40d8e11341912f180c0ac277
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190709-cp34-cp34m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp34-cp34m-manylinux1_x86_64.whl
Size 559.1 kB
Tags CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
eae2bbefb25eaf0a2c92456c0106eafac540c0d696c14140df663f13c6c3525e
BLAKE2b-256 checksum
How to use checksums
598a354bab0a8918669ea2ba8eee252b6d316da6698b03ae9bf3a7ced1a0e653
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.12

Release files / tfa_nightly-0.5.0.dev20190709-cp34-cp34m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp34-cp34m-macosx_10_13_x86_64.whl
Size 450.0 kB
Tags CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
cb4b37a6ba424dbf4e2ff8054c9ba9f93cba3ff8028e4d838a93952b103f079f
BLAKE2b-256 checksum
How to use checksums
38fa0d08bf714afc2d9135a207e22f0ab328d79e61ef212baec722b2bbf9e001
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190709-cp27-cp27mu-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp27-cp27mu-manylinux1_x86_64.whl
Size 559.1 kB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
d6b2ad52b73af15475aa9f749b2d0cbb8cfa5b68e25010568c684eb6cf26a930
BLAKE2b-256 checksum
How to use checksums
f926d6becae0da41fd224c47c1d59387a171fc205071cff9b15772c0f5bc1850
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.12

Release files / tfa_nightly-0.5.0.dev20190709-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190709-cp27-cp27m-macosx_10_13_x86_64.whl
Size 450.0 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
e21ac15b73b4db2fb774c2e57ff2962b989e3fe6b4327d9385617a1e675621c5
BLAKE2b-256 checksum
How to use checksums
ea2cd30367ca610c16de4c5095b444fabca6b8fb95a4697cbb20a2128908381a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Security for tfa-nightly 0.5.0.dev20190709

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