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 0.17.0.dev20220822090222

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 0.17.0.dev20220822090222
File Actions
tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-win_amd64.whl
tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_10_15_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-win_amd64.whl
tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_10_15_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-win_amd64.whl
tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details for tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_11_0_arm64.whl
tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_10_15_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_10_15_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-win_amd64.whl
tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-macosx_10_15_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 Details for tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-macosx_10_15_x86_64.whl

Total release size: 84.6 MB

Release files / tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-win_amd64.whl
Size 750.4 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
8751f45f3e4088b2c661c342161fe2bc3b791e1f40b09f2fc724c99b67d5f305
BLAKE2b-256 checksum
How to use checksums
523c60dd1320e8e072fead84613f21a4d65a4e116862da31a87d6f2e7343b9a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
3bcf15bcc669c16a1810037089a708deeeda8bf238e1093be278ceac786e4eeb
BLAKE2b-256 checksum
How to use checksums
a34b10df44985968c6dc115a1f299e3f63d01ab8311b0cf2db39f5d39e4f0b1a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b114f010da51924349cc5c345bafd6dedff2f13755fdb742dfca50f350ae0fd6
BLAKE2b-256 checksum
How to use checksums
a41af70fec6760ad04e4d21b1bf670896a550cee2bbae14fd72b452aa87a54e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp310-cp310-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
46317bb0daf0893208e6c9fc049573fc9bdd9d2ea205915896324120dce6cf1f
BLAKE2b-256 checksum
How to use checksums
bd854d18c6a5337551e3dee98492d3d3f389979e681d497d9623b9511357dc03
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-win_amd64.whl
Size 763.6 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
8265ffe29dabac7a60bba0bf9b3980a49d8ccf692bd181c7d11a6b609665e49f
BLAKE2b-256 checksum
How to use checksums
cc8ae2c3c8e8df400390fc74eced143294d49423587fa35d0eee70c4f1599d07
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
86311f304e24556e5bd4d8921de097d222100e36a85d6473d08e4b93dd822c36
BLAKE2b-256 checksum
How to use checksums
098ea397d321b5c54899a223d855b5424404881f752aa33d939f40e12ce2b233
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
fce7fa990a0c7ae872eae5b482057dea860394c4b28ef8d2520749a7963a6fb7
BLAKE2b-256 checksum
How to use checksums
eebbf9fc245d77c2168122c51710001e71b12431a24569ca7accdc1349097d5a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp39-cp39-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
784f9f479529d25a5afce1c1bc1c89fbc0916ea1e15c41d9fc375d344a2e58e8
BLAKE2b-256 checksum
How to use checksums
eaba85f872c0b3cba43a5fc05fe76a25c3d96febc6facbfb22b5f714f226dc54
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-win_amd64.whl
Size 763.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
31f6aff5f25b976453761bd72e0251dfe514b77b1cb7ff4027442a4c9c505952
BLAKE2b-256 checksum
How to use checksums
aeac22505a2de82ec9e6b956ec9b6c50147474acc782e4390869d63b7f7b1cf3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.8 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
48d05b024ff57d77ae2e08814d5a37d0fba18dba48b023bc31683b8e1152afe3
BLAKE2b-256 checksum
How to use checksums
ff40dc9e2cb5ccbae953033ac280b7cb5bf0045457f143ab3df94475b90fcb2c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_11_0_arm64.whl
Size 10.2 MB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
f6eb9ee7aa0dd9a8f4398d77c46a0c677c95f93e37c267fc02cb91ec416d93c2
BLAKE2b-256 checksum
How to use checksums
95fcacfde345252e35cd6a97614f9183105b60f7ec965c12a19e519153ac6bc5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp38-cp38-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
c298231eb9cf97089f779acd5362dc807492b89388087a649d73431c61c3ee2c
BLAKE2b-256 checksum
How to use checksums
4c7417000a08b152a42154b853ae6e6b4ba6b1ae35960d2b1329f39ee641887e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-win_amd64.whl
Size 763.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
5de26089d19fc273aa7b21d2ebafac92e4646b404abe839a872517a76eb39037
BLAKE2b-256 checksum
How to use checksums
c19ff653c8d10a95ff41dd87de3c5fe62c17a511c17180ac40c94252842e88e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
e6ef7ff25a0654c18516cc1214318fdf763161df1363d64f1eeb0cb6e1d689bf
BLAKE2b-256 checksum
How to use checksums
19604ce21d74c67fd902efddfb61b4570786eed7c79ca9ba056bf29aff3eb267
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220822090222-cp37-cp37m-macosx_10_15_x86_64.whl
Size 11.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
eb1a880e20fedb0523887271120cea4fa61e83a6bc72ca6a454ef78cccb8bcff
BLAKE2b-256 checksum
How to use checksums
a01c468701d1a7b508a1374b84a6894ad595de0ba21569d1ed1bebc2d0b6e7cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for tfa-nightly 0.17.0.dev20220822090222

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