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 0.11.0.dev20200710162730

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 0.11.0.dev20200710162730
File Actions
tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-win_amd64.whl
tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-win_amd64.whl
tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-win_amd64.whl
tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-win_amd64.whl
tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.4 MB

Release files / tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-win_amd64.whl
Size 904.8 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
9012bf5fa99ebdcb7c4da4555088bdec315a5f9453253a37c3894aee24c5501b
BLAKE2b-256 checksum
How to use checksums
1b21a2efca237e10856555b459e70ab8e0617c2eebe926a4b0bb0485fdb1b9e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-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
36c33cd85d288f0301c3046fd64ad08a311fe27f3d8663517a62ae65a38ae984
BLAKE2b-256 checksum
How to use checksums
bdcd22030e2b0a88f888bf19ba0df1ebef3642870550c71aa55b7efdc616e169
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp38-cp38-macosx_10_13_x86_64.whl
Size 599.3 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a76a6f68b3f9eb5c95a0071cff35921d01d7a9d4376971e3452f3cb92fee215f
BLAKE2b-256 checksum
How to use checksums
cb1ba0109851eacda8364bd9e221bf3c4961e8cfd629c50631b2697cbff13852
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-win_amd64.whl
Size 904.8 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
89b88158dc99e57a33aa114bf31ae04399c101f82e6fa1ca5bb7542442bf63e2
BLAKE2b-256 checksum
How to use checksums
49472a31d2ec61df2b47d87870b0c3df0baf12e7b2f6d7a51180134b5e611215
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-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
4e49335528e30b58fc27cb47473fd21be16a52905f949255e1e0cffa213da345
BLAKE2b-256 checksum
How to use checksums
26bb796a3c357fc50bfed0550629bdd04da921fbd352670be146e83f8343b691
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp37-cp37m-macosx_10_13_x86_64.whl
Size 599.3 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
7558719fb0fa54b61e9a9646d788d14899c196f9e18b394b7fa0d4ba76e28d9d
BLAKE2b-256 checksum
How to use checksums
add11e416907ab24cca72682cb23892386085dd0f71a03572adc5b213e195b76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-win_amd64.whl
Size 904.8 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
49b2b478be3fc8ca09ccd999df2df96b79862e0ef7a7de8534ba7a0611bd9836
BLAKE2b-256 checksum
How to use checksums
9f7fdb065260f83e00ed0ec52ac2ad05781a47b1d6d66d13dcb842afb84ddfac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
43c289d60e5b71a72fbcc5e6b93ff798e2d5839efea54babc94f633409102c50
BLAKE2b-256 checksum
How to use checksums
466bcb8d8b1ff3725e40f7959de8d9545563cffdb6e29bdb76b173457279f9a1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp36-cp36m-macosx_10_13_x86_64.whl
Size 599.3 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
d3b9ed8d5300e49a7cd82ff55466fba0d9acaf832f44c95dd2add15ae25f2a34
BLAKE2b-256 checksum
How to use checksums
a1e23c70f7437a43b0ce6bffeec8cb0d9b09185e2dbc87d169012d01921dbd76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-win_amd64.whl
Size 904.7 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
6eb977993d2722e731328946d1cfe5695fb5598d40f0ed2a65caf1e88b42a7e2
BLAKE2b-256 checksum
How to use checksums
b50715806a7561db7dde27199040ff96d73ff6b5fd2e5240071465b94904dd8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-manylinux2010_x86_64.whl
Size 1.1 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
6c60b021a40dc8362e791062d291ce15edb02cef947cc8cbe9a8a5d457bc7e4e
BLAKE2b-256 checksum
How to use checksums
e694f3a8848be00c925c36ef84bc65c2a47906ca1c9f8324ed1367026a596044
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Release files / tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.11.0.dev20200710162730-cp35-cp35m-macosx_10_13_x86_64.whl
Size 599.3 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
e1b58ab5a94db0313e81e9e255809fbbd12b1e54053182aa81173b8fd1dd96f3
BLAKE2b-256 checksum
How to use checksums
8942effdfded9b7f5a673ca048d3ffeff7525d4842978082c0a88b624929ae4e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

Security for tfa-nightly 0.11.0.dev20200710162730

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