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 0.12.0.dev20200911195651

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 0.12.0.dev20200911195651
File Actions
tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-win_amd64.whl
tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-macosx_10_13_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-win_amd64.whl
tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-win_amd64.whl
tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-win_amd64.whl
tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-macosx_10_13_x86_64.whl

Total release size: 10.6 MB

Release files / tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-win_amd64.whl
Size 917.6 kB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
47da927c592201ca6ef63ef678764a95fbe13347822d5ecca189ac17b466dd1d
BLAKE2b-256 checksum
How to use checksums
d0b306487ad872c75e1aa85ed7d33b9ef9067d6702449f229505620a18e0fac6
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-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
997f188f4de977bbce4aa78654ca0d1f478685092fef336305f3b75034f21221
BLAKE2b-256 checksum
How to use checksums
1e4342e218d739ad62989cd9f74790b68ce140b2fd62ae7388ee10396b1aa59e
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp38-cp38-macosx_10_13_x86_64.whl
Size 620.3 kB
Tags CPython 3.8 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
44c79e2a6197de7c54f34f8e0d8b832f138798a9af79db68c31c4c3c3f14d6b4
BLAKE2b-256 checksum
How to use checksums
fba3050be31f1f77e7062a4df4171d2c15f38ba8ae1d04e47bed40f450fc911b
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-win_amd64.whl
Size 917.6 kB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
e258e245c182f4a25c7750f4a61c43f5a6d35f1bf8df087a847cae3b060345d2
BLAKE2b-256 checksum
How to use checksums
b5eea311c5d0dee89cad7bc3bca300b0ee9e7254855115b8661c3ef83ad90588
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-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
623ed69fd5af12d361620b05473c1e168f95eac893e73dabb9083f7c478848df
BLAKE2b-256 checksum
How to use checksums
4ff8a3ff552c78f91b9e49bbfce02391cecc14def1159ced43fbb2ea9715c90b
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp37-cp37m-macosx_10_13_x86_64.whl
Size 620.3 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
3c9b9496af16e2d8f9b165588562c6e0a42c50da474841c2142411fa16cc36d3
BLAKE2b-256 checksum
How to use checksums
68b68c657544f9f0fc833b56a46cfa0358f5ced9cce069cee4e512612e104296
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-win_amd64.whl
Size 917.7 kB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
b57a97a171b9cab03927bf71adee5abcdbc9ecc0e121d86b866e91360a1a5bd5
BLAKE2b-256 checksum
How to use checksums
8de0e1780ecd832b8429c3dccd23de84d7d52b1f3c7d41ba8091f41cc1a77037
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-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
8f8330039971e004c3c5f15813b434dbcfd39ee7e4a225ef8e5a6e479ae084ce
BLAKE2b-256 checksum
How to use checksums
557d1fc08695396b2802029ca30596384ff1d95f11a2104038ebf6dd98e2fee1
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp36-cp36m-macosx_10_13_x86_64.whl
Size 620.3 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
918a240e308bf7a318067edfc12e2bcbaa32d54bfe69d406d43a7ad0b92c4342
BLAKE2b-256 checksum
How to use checksums
59f19c8463ee12da3aa3646c1d8faccaf3da4c427f1688b163566a99d59f204e
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-win_amd64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-win_amd64.whl
Size 917.7 kB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
05f2fc5d0f2dff5512798801a2b3af3c5ad3b56a5d949283620b01503db744b0
BLAKE2b-256 checksum
How to use checksums
fb44f0fb59caca8a35b9577567d22634159f96448827f8be1dc0a9344f30dd65
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-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
437b0791f48ea4483afe606c3cb8eb76df9796cc42ca0a14005413af1239d73b
BLAKE2b-256 checksum
How to use checksums
d8923f05fd99bc5e972c791b84c5b70d7f9fad9d7a7d10200a705292df2a3561
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Release files / tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.12.0.dev20200911195651-cp35-cp35m-macosx_10_13_x86_64.whl
Size 620.3 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
3769d5349fe663652ed638e7fad49ebb4bf6ee027d9e8cf5bd6d4825147f2ac1
BLAKE2b-256 checksum
How to use checksums
65c1863c291a24a7f7d113fe70cc238c9dab6dcac17c65583d3bb5ba5d6dc04d
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/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Security for tfa-nightly 0.12.0.dev20200911195651

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