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.dev20220603105623

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.dev20220603105623
File
tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-macosx_10_15_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.15+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-macosx_10_15_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.15+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-macosx_10_15_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.15+ x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
tfa_nightly-0.17.0.dev20220603105623-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
tfa_nightly-0.17.0.dev20220603105623-cp37-cp37m-macosx_10_15_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 Details

Total release size: 11.0 MB

Release files / tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-win_amd64.whl
Size 761.2 kB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
11afc9f2398f999075cf55e6406294a2282f546c1d40bb7ad0b5e1c0bc741704
BLAKE2b-256 checksum
How to use checksums
622085e75a68f95833bd53749d313c797f2696c896b832aec570519c1d444cef
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.dev20220603105623-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-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
ce844ab836cab575f0177cc2d25ac6c3fc65d4883f11a5c46455540b5c05e6d3
BLAKE2b-256 checksum
How to use checksums
7bc6994e44ca63952b1e52a6958bcf617fd47aa7febfe308789e5fc871d98753
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.dev20220603105623-cp310-cp310-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp310-cp310-macosx_10_15_x86_64.whl
Size 591.7 kB
Tags CPython 3.10 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
c28c76591f2af94e32c820df28b18d8787e006992d858eaecd995309421e5e4e
BLAKE2b-256 checksum
How to use checksums
6c5d49b729beda6dda7974d03484408f408427c408949039556b85a1feef3464
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.dev20220603105623-cp39-cp39-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-win_amd64.whl
Size 761.2 kB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
2003f888d695156c9c3b634ed61d91789c92892769cb74925272dc513c91feba
BLAKE2b-256 checksum
How to use checksums
cc5d08054e2d5e84dda18f56959efff28f60ba79685732fdb98772c359d1b02c
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.dev20220603105623-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-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
d27ef87b0f8495394f71eeccb03f944ca931cda4d6a9ed5d8e6c689c92d6cbcb
BLAKE2b-256 checksum
How to use checksums
9a2b251ca325b0fb9f2fc465b8e203dafd519dce1ba3ba20a1d4c5b262483bd7
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.dev20220603105623-cp39-cp39-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-macosx_11_0_arm64.whl
Size 548.6 kB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
51f28242ecd689fc532385341bf7ccb6cd454a3628792d1a0bb1f0c0b6530c36
BLAKE2b-256 checksum
How to use checksums
0b5a2ee6c2b5fc30667418ab6c3b85804de14ff063c149cae3a07f6996f7326d
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.dev20220603105623-cp39-cp39-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp39-cp39-macosx_10_15_x86_64.whl
Size 591.7 kB
Tags CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
4735d72de076f98d5e81e967081788548b3cb9f987bfe3bf15fd56e978dcc750
BLAKE2b-256 checksum
How to use checksums
94efbc790d0c96b00db88be5e0b51c591263cbf0bc37c6944c1cee6fde93f179
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.dev20220603105623-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-win_amd64.whl
Size 761.2 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
92fe9a1dec8bc8e6cf9b0ef6f69e91ecc5f2457f01dda2a096b1b8bbec740f7b
BLAKE2b-256 checksum
How to use checksums
c967105212434c26af81a60c791571124f1b4b38e7b64975e655068c684b98dd
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.dev20220603105623-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-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
86a7a19d2c0dd6f7e48958e67db813ee89660381d2d9c7edef79cb625262a2ae
BLAKE2b-256 checksum
How to use checksums
be1aac913cd5a4ddcc7979c6f242f868789b5822132ec85718ed91ffdd4da281
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.dev20220603105623-cp38-cp38-macosx_11_0_arm64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-macosx_11_0_arm64.whl
Size 548.6 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
a210747dabe07b4fc80e0ce5a2d1b167caba328ab1682e04038abb1908212bdb
BLAKE2b-256 checksum
How to use checksums
a6f2738732441f089be40ba7619ac2e8b5a4903661d59485a7ad1d11faad560d
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.dev20220603105623-cp38-cp38-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp38-cp38-macosx_10_15_x86_64.whl
Size 591.7 kB
Tags CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
65dc19d197d85a0f014afb12d2017cf9a5064d84b0e782c18d3df8200fe489f4
BLAKE2b-256 checksum
How to use checksums
1c81c49123e64f9d7587c31ac07131c517df2b30f6ae33e26c05a2815c7fb0cf
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.dev20220603105623-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp37-cp37m-win_amd64.whl
Size 761.2 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
022110f651b354e5000661716884aba2153a78ffbf9c3a88736ad5c174ac8f3c
BLAKE2b-256 checksum
How to use checksums
4dee08e76f1ac5d7a615cf74a8204b21ad44511d427349a3de0c3109753805a1
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.dev20220603105623-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-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
b61ac745029d02e7fe872247b98fd38a8284198c60214432258fe2ccb7c73a36
BLAKE2b-256 checksum
How to use checksums
f91e64e9e70bbdcdd2c4dd90e3ef8ea798cc609b954d416c2cacd4d546682409
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.dev20220603105623-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL tfa_nightly-0.17.0.dev20220603105623-cp37-cp37m-macosx_10_15_x86_64.whl
Size 591.7 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum
How to use checksums
7c6c7a0705eeb8c26e07f978f2062bded6e0c53654e23c6d7f9415082f07a6a1
BLAKE2b-256 checksum
How to use checksums
a7b8709aced362c42f4a51ae9bb9f6553821b5b643d894f022c98a6f738e1a44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release history Release notifications | RSS feed

This release
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