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 0.11.0.dev20200629002411

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 0.11.0.dev20200629002411
File Actions
tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-win_amd64.whl
tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-win_amd64.whl
tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-win_amd64.whl
tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-win_amd64.whl
tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.3 MB

Release files / tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-win_amd64.whl
Size 903.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
28feb6f4919c1116c95161483100f55fdc27fd374a2430e8898c002b38c4d99e
BLAKE2b-256 checksum
How to use checksums
c9418b8b6f17fdc7b2aa565f4e91b7878a9e6ff1f19d09898ccb015e023e7d07
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
d760d7a1d76f32b6f32265b0c84e2acfead4186ae5ad4ee5032790ed81162017
BLAKE2b-256 checksum
How to use checksums
db737d94692ec86f79d8d8bb3727daf3fb99d53d097a2f8783615ce1af9e5a70
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp38-cp38-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
99541e2a47a116531a0ad9f437ff90827ca73cf16f53fb6dd9006d462f5dca86
BLAKE2b-256 checksum
How to use checksums
e10465af6642e33ac5823bfc63c5661c8fbf4eb3d7e1e274c58aba64a73174e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
4a9d7a2301401e4334c8189ce81c1cb00f642c665795e71467e47ddead145ab3
BLAKE2b-256 checksum
How to use checksums
fbe4e4414fd6d64db6916f1a4b4c78aecea4cc84f4d30ac8af2ae851e144dbbc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
ccb28f0e349d39d80ee7b488e3fc020e57bc023c68180aee3f30af9c4a147c76
BLAKE2b-256 checksum
How to use checksums
1f3a49c8314c4999634a2f86b6e39833734a6e40fbf98eb5532c63375170f8b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp37-cp37m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
34c89c7e6cbdc118a052aca9c08985fb40e5a315c046893fdfe88e7ddb9d8c6c
BLAKE2b-256 checksum
How to use checksums
27f916126423cd40f39925dd137e8600245e2fdacf448e99f7ccfae575f7eb03
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
c75acf997924031efaabb8e489c97d8a885c3e4b4bb567510a202044b8452376
BLAKE2b-256 checksum
How to use checksums
ef17a27310d56ffd0d454c99b1e0ec52692b90d9bacab7ccb1c4dbb281d7a139
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
39e3dd3291db1391a50332cb390977455264b3caf7b56e98859b70cd88750b72
BLAKE2b-256 checksum
How to use checksums
af252b02c7abcfa1c3ef563ac16e3242877e29de5cdf02d032f1439a95358511
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp36-cp36m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
7c2d44bc43ed63d9c14c3aab86ebd79737d18cd2e6e290769ae1b2e3991cbac8
BLAKE2b-256 checksum
How to use checksums
5364636f5bc5458b816a8d7fdbfd15bf497df523322748a30c610e0ce1682c3f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-win_amd64.whl
Size 903.0 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
1bb0b493b7da8b2f0cb7622fbde008da27d8576b10ce50089c13175e0c2cc13d
BLAKE2b-256 checksum
How to use checksums
47f546607f963050c0971b509946a6c58187a13b90c549ecc69556ee96f6485c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
750ab761f4039acb46ea9efa787842be7f4ac8c55c3a3e0c062503b03c5c898d
BLAKE2b-256 checksum
How to use checksums
233546913a42b77ec14af7abc2c35b6e05e98c856360cd28ec4c4db385767dc8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Release files / tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200629002411-cp35-cp35m-macosx_10_13_x86_64.whl
Size 597.6 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
2edf78ff41ec7ba79d2f4a5e178e198ae832c81629bb6e0b20d14e5c94585e05
BLAKE2b-256 checksum
How to use checksums
e51e81de301ecc6b6ac18520fc669bd9ff63413e1b38a7445e53029534f579c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

Security for tfa-nightly 0.11.0.dev20200629002411

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