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 0.15.0.dev20211110010902

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 0.15.0.dev20211110010902
File Actions
tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-win_amd64.whl
tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_10_13_x86_64.whl
tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-win_amd64.whl
tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-win_amd64.whl
tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-macosx_10_13_x86_64.whl

Total release size: 8.5 MB

Release files / tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-win_amd64.whl
Size 756.6 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
2ed39b65563567cfc4e299b7e148a6b8f199af0d9d0cc5c51e8923fb8ecf5a6d
BLAKE2b-256 checksum
How to use checksums
f5f52014d5c3f63bb7732f235aba8765ec984275da360cb3e40801a7e89b19dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
a6d5d2a0a918d7f63e960e992f745f78a939436e0823383234b0091c0b5aea6d
BLAKE2b-256 checksum
How to use checksums
dd913a9a95125f43e372c16f7e34ad4d3e4bf744749b36f465fceb2c22810d95
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_11_0_arm64.whl
Size 555.4 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
dcd6aa710ea256fef8c54390c65e08def37381167bce0d548847cbbf7ccd5daf
BLAKE2b-256 checksum
How to use checksums
00f51049f3f2d6ae45c7ffe5575a4b8e676f2311412cea54333dd838b70b5a6e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp39-cp39-macosx_10_13_x86_64.whl
Size 585.1 kB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
54003288e9b54f3c4ad84d761aeb02dcf4f8ceee9a3839f576ac8ce91716a929
BLAKE2b-256 checksum
How to use checksums
5a3aaa78446bf9f394fe9b0ad40947fd3b1daecb3d00810d8281319598adbdf5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-win_amd64.whl
Size 756.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
77229983c2a535a34b7ef776c60980ae569053b437035b5ff20ee695da35b4ad
BLAKE2b-256 checksum
How to use checksums
2eb5aefe3c4e2a4e93836721ad5852af3733232bbc59e2aa58dda76ea64dfc1c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-manylinux_2_12_x86_64.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
61ff5590838edd8b2107894ba3dee524d563a65409ff180f2ac3ff30f87fab20
BLAKE2b-256 checksum
How to use checksums
0d60635e27346bf48138e8b25809490f16d447e233d3c96f7cbbbb064e3602ae
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_11_0_arm64.whl
Size 555.4 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
6eca1c8d131c949dd5a027657ee463a8cb15c4264035b676e0d90d9af4f558dd
BLAKE2b-256 checksum
How to use checksums
c85182b14dba84dd142db4551c5bb373bf3c3880bbcb69909f9d7c860d81ff5a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp38-cp38-macosx_10_13_x86_64.whl
Size 585.1 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
6f2b5a93c7a91506d09cd822b06bf63b322ca6db433611aeefbb31787288a2f3
BLAKE2b-256 checksum
How to use checksums
8c0410ac105d53c5a4ca1f14acc7e506ed8f9df39ab20c93d5a8119cc97e4692
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-win_amd64.whl
Size 756.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
78fd878df71324c288c9615284bac5eb665979a5e7fc4c5ae06f36aec94fd21f
BLAKE2b-256 checksum
How to use checksums
e65ef7bcd7f3833f7b140484fbfb5d38ccce12869c398d880b768c5194e396cb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-manylinux_2_12_x86_64.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
4975c89816383e73f00febdf4e809b61ec6f5c22813b916ea7395bafdff7e223
BLAKE2b-256 checksum
How to use checksums
a25c0c8a3d4f8fc57c4b3d7542f60409da9857491d8f695fb2f9b6add0bd143e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.15.0.dev20211110010902-cp37-cp37m-macosx_10_13_x86_64.whl
Size 585.1 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
f782d3b2d22c22707ad0be63c8d0d8b8f0f21360faba5d950f313b9d78d6dd0f
BLAKE2b-256 checksum
How to use checksums
35bb20bf80c8e63cfec478b89e781eb4502afece4a3ff6c03bc9c9e295f76791
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfa-nightly 0.15.0.dev20211110010902

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