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 0.4.0.dev20190613

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 0.4.0.dev20190613
File Actions
tfa_nightly-0.4.0.dev20190613-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp36-cp36m-manylinux1_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp36-cp36m-macosx_10_13_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp36-cp36m-macosx_10_13_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp35-cp35m-manylinux1_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp35-cp35m-macosx_10_13_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp35-cp35m-macosx_10_13_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp34-cp34m-manylinux1_x86_64.whl CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp34-cp34m-manylinux1_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp34-cp34m-macosx_10_13_x86_64.whl CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp34-cp34m-macosx_10_13_x86_64.whl
tfa_nightly-0.4.0.dev20190613-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-0.4.0.dev20190613-cp27-cp27mu-manylinux1_x86_64.whl
tfa_nightly-0.4.0.dev20190613-cp27-cp27m-macosx_10_13_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 Details for tfa_nightly-0.4.0.dev20190613-cp27-cp27m-macosx_10_13_x86_64.whl

Total release size: 4.0 MB

Release files / tfa_nightly-0.4.0.dev20190613-cp36-cp36m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp36-cp36m-manylinux1_x86_64.whl
Size 551.1 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
5968111754ed625468020d36a55f941d45dbe3cfec35c3cddbfdc4b06f19b465
BLAKE2b-256 checksum
How to use checksums
641900bba931cc0087f619f1670ecb5eee0c8048e9ca8ef45a8a2acaabacd4e3
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/4.32.1 CPython/2.7.12

Release files / tfa_nightly-0.4.0.dev20190613-cp36-cp36m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp36-cp36m-macosx_10_13_x86_64.whl
Size 439.6 kB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
c52b8133074d025e3833a95df0d83df141290f6c74b4c9b4159b82ad6826d525
BLAKE2b-256 checksum
How to use checksums
b63161443bddc04eb7f113061744a280a865b3548f0b63a09601e9fc8945f5d1
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/4.32.1 CPython/2.7.15

Release files / tfa_nightly-0.4.0.dev20190613-cp35-cp35m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp35-cp35m-manylinux1_x86_64.whl
Size 551.1 kB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
f80c791f658f325bb42d4efd75648962c7c5879ac6c03ac59fa8f4938090da9c
BLAKE2b-256 checksum
How to use checksums
1fca2283c1a5705e586fbbe6e1a2df8ec5a0f899545bb1a6f693f1a7a206b989
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/4.32.1 CPython/2.7.12

Release files / tfa_nightly-0.4.0.dev20190613-cp35-cp35m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp35-cp35m-macosx_10_13_x86_64.whl
Size 439.6 kB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
b8ad8c30a85f71ad34e5d7b8b1dc6ef172db72144bbe380fd352456590822ee2
BLAKE2b-256 checksum
How to use checksums
5ee4bba5555ab89225b9f431fbd31c40c92cb69677be481af5ee2c094f89268c
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/4.32.1 CPython/2.7.15

Release files / tfa_nightly-0.4.0.dev20190613-cp34-cp34m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp34-cp34m-manylinux1_x86_64.whl
Size 546.9 kB
Tags CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
6568499aa71d0411a18890a58fdd0fd64120efde5739f4f5649ffb63c739fb2d
BLAKE2b-256 checksum
How to use checksums
7ddeccf272a691ccc49cdc467ae3979b0a5469d92b6e3c1adc96fa7ac59f39a7
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/4.32.1 CPython/2.7.12

Release files / tfa_nightly-0.4.0.dev20190613-cp34-cp34m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp34-cp34m-macosx_10_13_x86_64.whl
Size 439.6 kB
Tags CPython 3.4 CPython 3.4 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
25b6dc0035e07bdb0e2e9ce8e716730f701bd6bc57f2cd2cad26acdfe5959c11
BLAKE2b-256 checksum
How to use checksums
e37c1808851019fb6081b2b65ac59e5d8ac8f2a49550c2ed25c449c150f8f306
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/4.32.1 CPython/2.7.15

Release files / tfa_nightly-0.4.0.dev20190613-cp27-cp27mu-manylinux1_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp27-cp27mu-manylinux1_x86_64.whl
Size 547.0 kB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
e586b57213adc6da8492b7344c17459bd46dd7fe98eead4f01f4885c7755bcd6
BLAKE2b-256 checksum
How to use checksums
164799ed1f21d07b860554743ac73198030aa0d65c54fb1493890b4401ae60b9
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/4.32.1 CPython/2.7.12

Release files / tfa_nightly-0.4.0.dev20190613-cp27-cp27m-macosx_10_13_x86_64.whl

Download URL tfa_nightly-0.4.0.dev20190613-cp27-cp27m-macosx_10_13_x86_64.whl
Size 439.6 kB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
184de4d847984949d63d2a139aeee9be04c4aa1b2a505369f3dadb55aab7ab95
BLAKE2b-256 checksum
How to use checksums
fb874574e6f1439b58c657ace8512212c6d559b3265de5c599b4b8272046e2dc
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/4.32.1 CPython/2.7.15

Security for tfa-nightly 0.4.0.dev20190613

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