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 0.7.0.dev20191130

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 0.7.0.dev20191130
File Actions
tfa_nightly-0.7.0.dev20191130-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp27-cp27mu-manylinux2010_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp27-cp27mu-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191130-cp27-cp27m-macosx_10_13_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.7.0.dev20191130-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 10.5 MB

Release files / tfa_nightly-0.7.0.dev20191130-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp37-cp37m-manylinux2010_x86_64.whl
Size 2.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
0439e0ffebd43a39c667757a344e6e855b1c4c6474932eb7bf98337e9b4f405e
BLAKE2b-256 checksum
How to use checksums
b8b5e04e31ab65be8eb4c8ae8e50c6737d4e372bcaa169afa6caa815b00863d6
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191130-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp37-cp37m-macosx_10_13_x86_64.whl
Size 520.2 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
d4a9e22f7a104e6062567783163f6af555dc31055793aa8e72a12b71df7734d9
BLAKE2b-256 checksum
How to use checksums
852fe4f0eb646f5bba92baa9abf55ca30398e679baadda07e722040173f1b77f
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191130-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp36-cp36m-manylinux2010_x86_64.whl
Size 2.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
0a35876d58419f8de722fa08754d722ba15a4b5fc2fa5c4899b947301a776039
BLAKE2b-256 checksum
How to use checksums
6ec8876e6452588cb19f2e013a84f38ebbd1380477f13c9ee171e5dc9b754e7d
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191130-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp36-cp36m-macosx_10_13_x86_64.whl
Size 520.2 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
7b65299ce42923b4271ab9c99f601dce7d136b3e35c4d0f177f07420ee349d06
BLAKE2b-256 checksum
How to use checksums
83de27c0ddee9c648ae04d766dd53da7992d815f4d1f70f99ba31603385f3e96
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191130-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp35-cp35m-manylinux2010_x86_64.whl
Size 2.1 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
7490adf2ade0717d69427f1a70c21f56bc946083df19bacf1887c56e93aab0a6
BLAKE2b-256 checksum
How to use checksums
5f3d248ca2dd661b870ec3d661fa980dcbcf7b9d95a88509dcf3be117ef3c373
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191130-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp35-cp35m-macosx_10_13_x86_64.whl
Size 520.2 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
d62823e5153997a490ba497009ab8896655178017e80732d389e9f7459100dcf
BLAKE2b-256 checksum
How to use checksums
3e234b2235b24e4d5024697bed4dc4ba555f57520815ba5325f8c1d5767073ce
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191130-cp27-cp27mu-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp27-cp27mu-manylinux2010_x86_64.whl
Size 2.1 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
8b5814af7213317e441a1b85e668b6416c997d679ac6c3359c1f0e31de2d8a2d
BLAKE2b-256 checksum
How to use checksums
50604ed2b3255fdd7a60f3fb9d2ff2686e711c24a6d802fe04bcfc5e1245391f
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191130-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191130-cp27-cp27m-macosx_10_13_x86_64.whl
Size 520.2 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
8ea0f0e28f05256ef53cf198697c7fd1d0d0aab58eb8ceb3d35b3da1f3d95bf1
BLAKE2b-256 checksum
How to use checksums
2f4ea44ba3c68856886c0007f0fa928d02e2d8ce2ab8e99fd7ecc7a7b7ebcc67
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/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/2.7.17

Security for tfa-nightly 0.7.0.dev20191130

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