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 0.14.0.dev20210515190502

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 0.14.0.dev20210515190502
File Actions
tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-win_amd64.whl
tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-manylinux2010_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-macosx_10_13_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-win_amd64.whl
tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-win_amd64.whl
tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-win_amd64.whl
tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-macosx_10_13_x86_64.whl

Total release size: 7.3 MB

Release files / tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-win_amd64.whl
Size 618.8 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
b9063bbe604f6b5df71c9fcbc4f540a400e035ad83c349be7cfa1e36252b4bed
BLAKE2b-256 checksum
How to use checksums
84b976ffece610480fdfb7d16ed2bf9df83e004694df1fe1bae460f6b54b9c02
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp39-cp39-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-manylinux2010_x86_64.whl
Size 680.0 kB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
6337ef7f9c48ffea8ea821401f29c96ef86ef36c6c1a1ca2787b7964f0432a7f
BLAKE2b-256 checksum
How to use checksums
96ff39802e063ca2238e4ca5582005866af3ca281b4d0a8f0b6b769b076737c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp39-cp39-macosx_10_13_x86_64.whl
Size 514.8 kB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
99efc0097db154d2ac161c13d27e0b92e11ffe074891bef5f181586dc686ea10
BLAKE2b-256 checksum
How to use checksums
540db38b2c5cbec2d5653852cb3d1c030af6bded33720168339f159fcb8deabd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-win_amd64.whl
Size 618.8 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
9fc4754b5c2388a91c2c905f42618153712a1aad57faa34922e55de9076848f0
BLAKE2b-256 checksum
How to use checksums
2734a197d8d7147815a13a89c31aab042681681d77dbf88c40e64acd4eabc592
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-manylinux2010_x86_64.whl
Size 680.0 kB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
76b7837dda2b7462ed367d94c0f7b33fffc2c12ee3785dfdeecf5526617701ed
BLAKE2b-256 checksum
How to use checksums
4e76ae225276ccd03d3d83ecb085bcf899cf796da774a3479d249cafc8c9a101
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp38-cp38-macosx_10_13_x86_64.whl
Size 514.8 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
e5a5792f60368aca761012e9548f9c5a702511cb2f6a20b42ee2225c36f863c0
BLAKE2b-256 checksum
How to use checksums
84ab3d0cd5a34cf575e2607d3e67ef6557b955ce2dd62b559cf5c518a2c08b3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-win_amd64.whl
Size 618.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
b5d61bc495e05011cf283e3ab4e843a2d8857ff4c08147bd9f881d292c916f23
BLAKE2b-256 checksum
How to use checksums
e9a593d769f07065219ec83f829843ebcbcc695a727f6d43178a1fe1dd2265dd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-manylinux2010_x86_64.whl
Size 680.0 kB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
950e55089164d99e49ab95b3359e3673865acde095cab23eb92f76cd37f2b942
BLAKE2b-256 checksum
How to use checksums
e3d94f736132818636081260c998773cee102c468894f483620fea32621b68bf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp37-cp37m-macosx_10_13_x86_64.whl
Size 514.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
d29e0e97ec3079cd997680485ff649eb2cefd27f6beb4efee3b7ef3df6c20114
BLAKE2b-256 checksum
How to use checksums
2b7c0d1e05f84bd2ac34e012c644439ecad1847ad4b34abd148643969876c2eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-win_amd64.whl
Size 618.8 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
fbbc94675da2de8107ea55e41440b464f31b241a1667030973ca57816460b7f3
BLAKE2b-256 checksum
How to use checksums
65598ecc43a82e9657e724fc740b2fbb705f8be8730e87365aaf2691165b831d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-manylinux2010_x86_64.whl
Size 680.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
8d1229fb0fbf0e56376e67dba833ac61638dc0687489f193ce93967184a9be2e
BLAKE2b-256 checksum
How to use checksums
4c96077a35b58533dd7f6ff1fbbe1bc555977a44f42282f7c1e147d6ad985be4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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-0.14.0.dev20210515190502-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.14.0.dev20210515190502-cp36-cp36m-macosx_10_13_x86_64.whl
Size 514.8 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
bef421b18e3b246c7b039dd9f1470f7966c6d9fba267ee737fe7736f9dc55c15
BLAKE2b-256 checksum
How to use checksums
6d6d8be4da8025b99183898d122b6ed532d6fd961b4f412bcd5aaace33d7a02d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 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 0.14.0.dev20210515190502

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