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.dev20190701

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.dev20190701
File Actions
tfa_nightly-0.5.0.dev20190701-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190701-cp36-cp36m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190701-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.dev20190701-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190701-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190701-cp35-cp35m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190701-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.dev20190701-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190701-cp34-cp34m-manylinux1_x86_64.whl CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190701-cp34-cp34m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190701-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.dev20190701-cp34-cp34m-macosx_10_13_x86_64.whl
tfa_nightly-0.5.0.dev20190701-cp27-cp27mu-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190701-cp27-cp27mu-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190701-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.dev20190701-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 4.0 MB

Release files / tfa_nightly-0.5.0.dev20190701-cp36-cp36m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp36-cp36m-manylinux1_x86_64.whl
Size 559.9 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
ee96a5d533de3f957b846aff23c2df2185e7029641df9ef53298dbade3ec39e0
BLAKE2b-256 checksum
How to use checksums
0b1675c84bfbded818c0f92524d8549e82b6bc11dd1cb188140a57bafc1be4c5
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/2.7.12

Release files / tfa_nightly-0.5.0.dev20190701-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp36-cp36m-macosx_10_13_x86_64.whl
Size 446.5 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
0edb189f6a9d0a9ec1d2ca83764f49c52d55457d8213fc21e8b29ebeffb9e47b
BLAKE2b-256 checksum
How to use checksums
db2a2644f33b7e6e58d60bd50a80318f2e2f5b065077df9a37d7cfb45ae8e988
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.dev20190701-cp35-cp35m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp35-cp35m-manylinux1_x86_64.whl
Size 559.9 kB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
bf96f6e1f94d68459b031a7d8f56462804e32894536aad6b2d1916de000d6f88
BLAKE2b-256 checksum
How to use checksums
0371550c91f88f0f7c6fd062b5ea6ad11ade21470706a479d3833c315a05f36a
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/2.7.12

Release files / tfa_nightly-0.5.0.dev20190701-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp35-cp35m-macosx_10_13_x86_64.whl
Size 446.5 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
753b32c72bb3db53b052c618123fa1757f6d25e5d89481bac3c4180f4d662337
BLAKE2b-256 checksum
How to use checksums
4db0671eb4a08be75ff3ad1f30653118d215eba6ddf4687ea99d6da4b9794759
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.dev20190701-cp34-cp34m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp34-cp34m-manylinux1_x86_64.whl
Size 555.7 kB
Tags CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
7080674f6763808171eb18a8946df073422e4e2fa7511d7fe63e10dfa06b34b6
BLAKE2b-256 checksum
How to use checksums
9658dc3e79b88ccf9764b6017604baef7c7764fe8edc353b3e6faed1953878c2
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/2.7.12

Release files / tfa_nightly-0.5.0.dev20190701-cp34-cp34m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp34-cp34m-macosx_10_13_x86_64.whl
Size 446.5 kB
Tags CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
04786f6ce245ac25f5bc6b89df5ffbce24d1cf0f4a591bd36f23b15030acedf3
BLAKE2b-256 checksum
How to use checksums
2f9058468fb1243745e03c0c22b8c28f30318f1a846d998e0db411e6fe544105
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.dev20190701-cp27-cp27mu-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp27-cp27mu-manylinux1_x86_64.whl
Size 555.7 kB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
b4beadd227ff35be7e0e556b3f2a6911ece6cc368d2915809131a3d945494af1
BLAKE2b-256 checksum
How to use checksums
6070744069661bf139c96923f723366ae8d2233c0ad4e8e4b9f653ea8946ee0b
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/2.7.12

Release files / tfa_nightly-0.5.0.dev20190701-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190701-cp27-cp27m-macosx_10_13_x86_64.whl
Size 446.5 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
a52f4567c0e804ff2fa5c40de50e121050434017fa4b172b58ef4e8e5873e75d
BLAKE2b-256 checksum
How to use checksums
46bbbf4124b8a94b8bf586e6b63dd8d5c7b108940f0ab4f7a8d1dc87f211d277
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.dev20190701

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