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 0.16.0.dev20211229190346

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 0.16.0.dev20211229190346
File Actions
tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-win_amd64.whl
tfa_nightly-0.16.0.dev20211229190346-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-0.16.0.dev20211229190346-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_10_15_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-win_amd64.whl
tfa_nightly-0.16.0.dev20211229190346-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-0.16.0.dev20211229190346-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_10_15_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-win_amd64.whl
tfa_nightly-0.16.0.dev20211229190346-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-0.16.0.dev20211229190346-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-macosx_10_15_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 Details for tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 8.5 MB

Release files / tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-win_amd64.whl
Size 758.6 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
fb037094d64a6da98a65ca7cff27b1be51e99e21ee0ad685fb02359e514e093a
BLAKE2b-256 checksum
How to use checksums
dbb76ba42dbea2f6b90cee73bb42fbb32d4c1f26f2747639d9ad609a47e26390
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-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
516dd53b2792caeba23bab6cfd2b8aa9e757b73808c2a2ba169cf7cb775b223e
BLAKE2b-256 checksum
How to use checksums
ecf974edd1b7f3ffd9e8b72c3b22446c277b8cdcd2aa719e902d18587ca65a0b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_11_0_arm64.whl
Size 549.0 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
d532655603690cf0b1cb8723053a4850428c5a28fbb93daf04f1984140739f97
BLAKE2b-256 checksum
How to use checksums
368f09a1da19e67dec7aa747969f5d2b73b6dd823bd6f2a7bd337921acca5cbe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp39-cp39-macosx_10_15_x86_64.whl
Size 587.2 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
8a3433930ce3d25ca0ad78e2b860a549a75af37becd5b1e0dd78a384f2eb37f7
BLAKE2b-256 checksum
How to use checksums
01003e9d2a8f191cb90b2b33e44ecfb19289a23edc750bba2e703353c30d8a7b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-win_amd64.whl
Size 758.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
05961d83899d77aeeb859889b855fe97785e98db8ee3457e82c9d082dd907b84
BLAKE2b-256 checksum
How to use checksums
310f4b095b8209875433bcc83d4f1ecdef206bb7d54baf9e38e352ebdeeff623
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-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
d3e65fe95fd62d81f7c4406b724c6f8ff09895d764ab8e05fe0afe7e75f145cf
BLAKE2b-256 checksum
How to use checksums
5fcfbd2fe19a5583ce2831c5731694177456fff6195669f58a66a3e38f5bb7d4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_11_0_arm64.whl
Size 549.0 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
6ce0bf010bb189b68aab04462ea27d682a760219081dd7a6c48762b3a6efb4e7
BLAKE2b-256 checksum
How to use checksums
9370bc4d95edc3c8d36d388ac91d0ac0310f6e95fb070a91fac3e3bfcfb1d639
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp38-cp38-macosx_10_15_x86_64.whl
Size 587.1 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
695d47b2e80e79bbac5a374094f723f84462e7d92d5d6ac2a2bce410a45984f0
BLAKE2b-256 checksum
How to use checksums
7b3e6f88e45d9b8c652142f476fe0df3ef3947b4a4727579d2fdd81557940927
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-win_amd64.whl
Size 758.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
f734d2f35e55e50e7e847703bbeba6404064e9b337b3dc793a893ece1d3b49cd
BLAKE2b-256 checksum
How to use checksums
6821e18d5c4bbc750f78633d35ea3757e9f9722ce9a76c8da513a24e1ccca5be
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-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
6bd23d8eef8db52b46614f552c40850f47c0e491e88e9ac9bbf7bcee8b1f0d84
BLAKE2b-256 checksum
How to use checksums
ffa5d3cf025f4792d226e60b1f7ee3b9f31df84fb0baa89b37d3c9b7f1803207
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Release files / tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211229190346-cp37-cp37m-macosx_10_15_x86_64.whl
Size 587.1 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
bc136c55220c06b19a93b2a258a83a62411c1058c162154bb8d80e63b889a3e8
BLAKE2b-256 checksum
How to use checksums
387dbcf70d03b238f76654ce40a8907f4be4bd170b3e808b51caedd4a4e2a06d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

Security for tfa-nightly 0.16.0.dev20211229190346

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