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 0.13.0.dev20210418144316

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 0.13.0.dev20210418144316
File Actions
tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-win_amd64.whl
tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-win_amd64.whl
tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-win_amd64.whl
tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-macosx_10_13_x86_64.whl

Total release size: 5.2 MB

Release files / tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-win_amd64.whl
Size 603.0 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
8541aa070e0365438784c4a79963092cbc5639080b82c0ecde90b539e035e798
BLAKE2b-256 checksum
How to use checksums
bf6f4b49f0e5d79e88db9b0d1579185521c09082e61a6135fad56bd90e07e5d7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-manylinux2010_x86_64.whl
Size 650.9 kB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
bec720ec6c8c4fe459a1f9362d60c47c69139503f2ee1ea9abddef38effe95ad
BLAKE2b-256 checksum
How to use checksums
9174a763b929fccc4c9d92b5eaedc5198fd72f28b88aa19edba860fab8c3f864
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp38-cp38-macosx_10_13_x86_64.whl
Size 494.2 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
9a1c58fc53a2893531ff6c97945bc9bb2e65b711385edd4766279dabb295712a
BLAKE2b-256 checksum
How to use checksums
3ac98886f11d3ffa6bc9f1d0ab530197047187b169b655e75004ec6bbe6ef5bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-win_amd64.whl
Size 603.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
ede5fa1e07dc849232d2121764adfc12e1898f9adf2f5ded02171e5e8a9478cc
BLAKE2b-256 checksum
How to use checksums
cb6c0a212a4978cc12f1d563f42ab53c9564dfd00018798ed1cb011cb64f0dd2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-manylinux2010_x86_64.whl
Size 651.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
80f6d1e8b6f6e8f6ac30309e56a6efc26e8698a34356f32975843d7ecfcc3d63
BLAKE2b-256 checksum
How to use checksums
b8f51dc390e54396b6b538bd95ae305b5d2cdafe049dd32c66068e0f172cb801
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp37-cp37m-macosx_10_13_x86_64.whl
Size 494.2 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a901ee2e3be3e20c556bcc0224fda1467015186e0b0d939d2f4fab515aa801be
BLAKE2b-256 checksum
How to use checksums
41d9c4c5ed95da654b9e41383bddccb1358fc2d0864dfe81a842f3b7314f4998
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-win_amd64.whl
Size 603.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
fe59921795cbd79c5712a369b3d91fbe2e361c26567a91fdb2ef2389966071e1
BLAKE2b-256 checksum
How to use checksums
63ab24c131eedee9d28613471289bc9286044cbaef76e7025438e9efabe51a50
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-manylinux2010_x86_64.whl
Size 651.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
de4fdc05c410875c129c5361b3d04fe8e82747c026cd9d1f163127c9f6dc97ed
BLAKE2b-256 checksum
How to use checksums
ef74408ef1a6cdf89196086d853d00d1cd16935726b49d3ef4420ac3b2904c01
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Release files / tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.13.0.dev20210418144316-cp36-cp36m-macosx_10_13_x86_64.whl
Size 494.2 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
95b88918024bf4f5d3dd074de33da4d33744f378c436fc03702e3684ed29682d
BLAKE2b-256 checksum
How to use checksums
3e73565e5c7d48b426e1e6db3011efc872cb6ef0fc10fb07c2aa620a38aef15a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

Security for tfa-nightly 0.13.0.dev20210418144316

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