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 0.5.0.dev20190805

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 0.5.0.dev20190805
File Actions
tfa_nightly-0.5.0.dev20190805-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190805-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190805-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190805-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190805-cp34-cp34m-macosx_10_13_x86_64.whl CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190805-cp34-cp34m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190805-cp27-cp27m-macosx_10_13_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.5.0.dev20190805-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 2.0 MB

Release files / tfa_nightly-0.5.0.dev20190805-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190805-cp36-cp36m-macosx_10_13_x86_64.whl
Size 512.0 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
0e659eac3d4060dc90c0fd61ec4436183b8b36a3f7224b3b13d845d098393588
BLAKE2b-256 checksum
How to use checksums
3bb953917cc6d6b123cd626359353a0148feb73b1046aaef0f2e4afc798842d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190805-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190805-cp35-cp35m-macosx_10_13_x86_64.whl
Size 512.0 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
0124705e3ee91c8f025e795f2553b76b06bc79f3ff2015c9efbedf5d4a691b34
BLAKE2b-256 checksum
How to use checksums
532647b756e4d22243b423dae949dbe5b3ca2aa9af43c91d2b2d0a763fa7376e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190805-cp34-cp34m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190805-cp34-cp34m-macosx_10_13_x86_64.whl
Size 512.0 kB
Tags CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
34301876eaab0f6c338b3976e18d153df7bdf12527419bb7729f465c0fa46158
BLAKE2b-256 checksum
How to use checksums
1cd1ad6f3f33f881bb51d0cd961c4dea54d862629dffa7e0925f7335900409cc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Release files / tfa_nightly-0.5.0.dev20190805-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190805-cp27-cp27m-macosx_10_13_x86_64.whl
Size 512.0 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
ee1064b6706fff278b576dbdcbedba523d236dbf5d74c5e480a0b43270de3de2
BLAKE2b-256 checksum
How to use checksums
98e558af555fd7bd47890654a4a030fa7c6f6671b3b9860ece5f866717ed8acc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

Security for tfa-nightly 0.5.0.dev20190805

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