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.dev20191202

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.dev20191202
File Actions
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp27-cp27mu-manylinux2010_x86_64.whl
tfa_nightly-0.7.0.dev20191202-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.dev20191202-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 10.6 MB

Release files / tfa_nightly-0.7.0.dev20191202-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-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
804c220cc5b370d8e33b3ec815f3f708181cfc39e56d6472472f3b6b1cc9c810
BLAKE2b-256 checksum
How to use checksums
a552993f4bb67d4750646ca0fab6740fee09d6ee36b64884bb69dfc31c749882
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191202-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-cp37-cp37m-macosx_10_13_x86_64.whl
Size 534.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
b60245a4ab3ad1704f5e19ffd41b50a83f0d1e76e904d80237ec5e91a9a735b0
BLAKE2b-256 checksum
How to use checksums
a9eea5fb5bf819758a50521dbfb0a474ccb28f66abf0c1314bd9aa5dbab3c39b
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191202-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-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
f3565deea42ec10e1675dee021c53c8c49ee7597449d8d2fe46534030ead368d
BLAKE2b-256 checksum
How to use checksums
f17d06334b5a95683149557c42517ab2e97e536fd6b8e164d126d1db2d01647d
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191202-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-cp36-cp36m-macosx_10_13_x86_64.whl
Size 534.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
48bc7e2fc3c0ed2b1c0f36ad576c3bd1675c9abba97d92821d9134a7e35ea562
BLAKE2b-256 checksum
How to use checksums
de6d7fbd4a3ba6abbcbcfeff10fd0b026577db338f8c55cf2e572721b4207524
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191202-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-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
2f46069c51928615230db3db92b41976bf902ee74664f465a12910d292928e97
BLAKE2b-256 checksum
How to use checksums
efd626a289411f867c84cea5b621d17622fc5fdce45ff7794588058067cb64c8
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191202-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-cp35-cp35m-macosx_10_13_x86_64.whl
Size 534.6 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a399683054179e6020127e332012b1bc735684ecbd80c3f3cdc8a012da6460c7
BLAKE2b-256 checksum
How to use checksums
ab5ebae3bbcb57a7ebd3eaa69704aa3dbd4112e4052283bd73d641208ec4bc2d
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.17

Release files / tfa_nightly-0.7.0.dev20191202-cp27-cp27mu-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-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
22e1e8e8178f76ba4d2e359fce1959d999860210b22c686cd54570f76a84d63c
BLAKE2b-256 checksum
How to use checksums
c72c35fe77a9c26fd742b8857e7a7ab49c60e54f21ecf29a95065839200beafc
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.12

Release files / tfa_nightly-0.7.0.dev20191202-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.7.0.dev20191202-cp27-cp27m-macosx_10_13_x86_64.whl
Size 534.5 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
7fde1901332fbaa4ffe089056af74bd32e05fc972b27727a616d865f04a4c679
BLAKE2b-256 checksum
How to use checksums
5cd1b53b6976a47438ac3b245fdf7cd1dab0970928a5b7ee56253b4a84bb924c
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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/2.7.17

Security for tfa-nightly 0.7.0.dev20191202

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