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.dev20211116022647

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.dev20211116022647
File Actions
tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-win_amd64.whl
tfa_nightly-0.16.0.dev20211116022647-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.dev20211116022647-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_10_13_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_10_13_x86_64.whl
tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-win_amd64.whl
tfa_nightly-0.16.0.dev20211116022647-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.dev20211116022647-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-win_amd64.whl
tfa_nightly-0.16.0.dev20211116022647-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.dev20211116022647-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-macosx_10_13_x86_64.whl

Total release size: 8.5 MB

Release files / tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-win_amd64.whl
Size 758.4 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
4fbc8c277f29d02ac26542862d9f47474f53ed91604a3995cf6a16a50df4b21c
BLAKE2b-256 checksum
How to use checksums
5aaaf4bd1a5146caeeaf1caecb988982941a7a545e31fe72220f05a77bbb5cbb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-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
2b2646967718f94a99f7d89de54f9b4dd934d8b6214e8341b578c3261b741c5f
BLAKE2b-256 checksum
How to use checksums
6ab1fc09f27f0f4af8f3310b6c7330af01ea3ab7e77e6e0363614b2af04a2c4b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_11_0_arm64.whl
Size 557.3 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c3ccc20403082db85e7cfc97ab2aff8624b65cc59b45dc1dd2c2c8d2f2f2474a
BLAKE2b-256 checksum
How to use checksums
6875fa4722cda65eda4da222868ae87c7677e1c1201e1b02ceabb5fa604cc6eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp39-cp39-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp39-cp39-macosx_10_13_x86_64.whl
Size 587.0 kB
Tags CPython 3.9 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
f89ade14f25a5e22d355e3c83b9dc2703daccb6b3da734e4f4ff70ad2129a127
BLAKE2b-256 checksum
How to use checksums
0001692490c65f67b86373469bfbe1cb13444368bc8b78f5d2e772ce74c332d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-win_amd64.whl
Size 758.4 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
6b5284e4e162562ca532dc6cb5f195ae0276c7a56577e0832d58e675c4f045f7
BLAKE2b-256 checksum
How to use checksums
1d0050e5b088e8621a5df40bafa0399917b9b4d06800fb055721d80ea5eecc2c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-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
b517a717fca4ad824d7ce9bc9f3e1a66daade8e74c7b26e315c5c30e9c61d486
BLAKE2b-256 checksum
How to use checksums
39edc9c0241f2b53e45a3f40b7c5203993ddb4da045b7e550c7edbea3f873afd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_11_0_arm64.whl
Size 557.2 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
d1905fa0c8822ae5c096d6558f774be9d91a55f36ddc12e7d9a8d98a106fa751
BLAKE2b-256 checksum
How to use checksums
9c0a8acafa1fcefaa505aee5adf3b60444519432e8c1d94277e7588cb8048dd9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp38-cp38-macosx_10_13_x86_64.whl
Size 586.9 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
5130508d78c3b3db2494620d2c8f18f87f23ec57a72cc4a35ec120e2355306da
BLAKE2b-256 checksum
How to use checksums
6f221096ef6bf09729c5e271d27454bc4557debeec9d345fc4211c2d02858e67
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-win_amd64.whl
Size 758.4 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
2ea0813c1122d72427d0012b53019dc2dff7bac4f60065578605074ebdac7ad0
BLAKE2b-256 checksum
How to use checksums
27d95e8e428bdb88c0cfc5ff0110ef1b272b631577f7f77ae1f2ae86a39069c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-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
f3bb757605cdb9b4bcc15fa548b6e1965bf9889795dc86a3872bf2d8f926243c
BLAKE2b-256 checksum
How to use checksums
05ef7bc8ec245b0c9f4bff5623c64d85e7b1f8abb978d6ebcb7723f233ffeccf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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-0.16.0.dev20211116022647-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.16.0.dev20211116022647-cp37-cp37m-macosx_10_13_x86_64.whl
Size 586.9 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a1c133f946b63c3d5ee6a88614e5e28e0b27c98a42ab2b1e660fb37f22d529a6
BLAKE2b-256 checksum
How to use checksums
18ccf3b36216966bc205eefc0422a96ffc423067cf964e9f0f2e57a01ea3aa74
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 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 0.16.0.dev20211116022647

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