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 0.6.0.dev20190930

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 0.6.0.dev20190930
File Actions
tfa_nightly-0.6.0.dev20190930-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp37-cp37m-manylinux2010_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp37-cp37m-macosx_10_13_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp37-cp37m-macosx_10_13_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp36-cp36m-manylinux2010_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp35-cp35m-manylinux2010_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp27-cp27mu-manylinux2010_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.12+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp27-cp27mu-manylinux2010_x86_64.whl
tfa_nightly-0.6.0.dev20190930-cp27-cp27m-macosx_10_13_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.6.0.dev20190930-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 9.0 MB

Release files / tfa_nightly-0.6.0.dev20190930-cp37-cp37m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp37-cp37m-manylinux2010_x86_64.whl
Size 1.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
9d7b8e21b58eae1beeff6bb436a70b6ef4d6aff654addf4836efa6f7e982d7b0
BLAKE2b-256 checksum
How to use checksums
cbb23fb47dbb91f95add0edcd13e03d96d0c5dcac27c3ef7935490ffa6f6c7e3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.12

Release files / tfa_nightly-0.6.0.dev20190930-cp37-cp37m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp37-cp37m-macosx_10_13_x86_64.whl
Size 435.5 kB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
aa0315dd46fc55309807171b7f28f02fb6d2fb93922a6fc216318842fc7d697c
BLAKE2b-256 checksum
How to use checksums
e5ec8c861ec6b5fce3b20c65d220295f076005488ff64ad278a65b9e440364b7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.15

Release files / tfa_nightly-0.6.0.dev20190930-cp36-cp36m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp36-cp36m-manylinux2010_x86_64.whl
Size 1.8 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
3f2247141a8b370424717f4152d17731d90bb0c635c98dffb740802cdd4654a7
BLAKE2b-256 checksum
How to use checksums
92dcbf4d450301cf2a5970573b6366d3d901b6ce73c777487406bdde81afecaf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.12

Release files / tfa_nightly-0.6.0.dev20190930-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp36-cp36m-macosx_10_13_x86_64.whl
Size 435.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
6f5763af27e8dd255ab33f797bf3d86fa6fa536cc096891ca0c0689aeaeea79e
BLAKE2b-256 checksum
How to use checksums
4eeae698271d61c23fc48a2b32983149f3c1730b3e741813ef9caaf74cb73d0d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.15

Release files / tfa_nightly-0.6.0.dev20190930-cp35-cp35m-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp35-cp35m-manylinux2010_x86_64.whl
Size 1.8 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
5dc687bdcdbdc2cd42b7f405263eb6773291ea5178fa78b5f3e2ab8a4492f360
BLAKE2b-256 checksum
How to use checksums
1c9da5caca9d6d87abc80752efe1f61fbcd815f1f09509b7b08092f28fa1b628
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.12

Release files / tfa_nightly-0.6.0.dev20190930-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp35-cp35m-macosx_10_13_x86_64.whl
Size 435.5 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
2bc305f6e9f120e263a270eb57983a9c8a4ff09f804a1c8286205e00592bc642
BLAKE2b-256 checksum
How to use checksums
aaf5681fd4471afaa368cbe163a0d5f3cbcdc86baa1bd92e2d15f8508599d9ba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.15

Release files / tfa_nightly-0.6.0.dev20190930-cp27-cp27mu-manylinux2010_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp27-cp27mu-manylinux2010_x86_64.whl
Size 1.8 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
d1fc1eee076a3555008e75ff2d98639bcf413e2d359693aa28e715a74078d243
BLAKE2b-256 checksum
How to use checksums
2b5a7a151f303fa4abfddc1952a73fc32da4cf734bf2c1e0e349190f2470be1b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.12

Release files / tfa_nightly-0.6.0.dev20190930-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.6.0.dev20190930-cp27-cp27m-macosx_10_13_x86_64.whl
Size 435.4 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
596c217461a77bad9642de95646efd22d95ed6c2020feee4503f459fefb41026
BLAKE2b-256 checksum
How to use checksums
eeee2c4f8a30796128e09ca8468830168e75090dcd87a17d4903b00cc5379be2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.15

Security for tfa-nightly 0.6.0.dev20190930

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

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