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).
2 maintainers
Metadata
2 maintainers
Release files for tfa-nightly 0.7.0.dev20200103
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 4.9 MB
Release files / tfa_nightly-0.7.0.dev20200103-cp37-cp37m-win_amd64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 887.4 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
|
SHA-256 checksum How to use checksums |
0e2bd9257693fd5ac96656f92e2b67c4850d797f75155b4304d740cc271a3b7d
|
|
BLAKE2b-256 checksum How to use checksums |
67befb96d2296af405a4fb626540a9bdc4e917f6ecd4536d221890a6255239b8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5
|
Release files / tfa_nightly-0.7.0.dev20200103-cp37-cp37m-macosx_10_13_x86_64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp37-cp37m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 547.1 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
f527c16a6c33f68bb0b0af7ef0de0b2b2f09476e9a9d501ae601157fd152a092
|
|
BLAKE2b-256 checksum How to use checksums |
eb0936956ed0b97ef4336900763bee025b22ea49450928d5a61c0ed422006878
|
| 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Release files / tfa_nightly-0.7.0.dev20200103-cp36-cp36m-win_amd64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp36-cp36m-win_amd64.whl |
|---|---|
| Size | 887.4 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-64 |
|
SHA-256 checksum How to use checksums |
798fd216e318464e03f0884196c073968ee287195c5742e0ea32a894753a7727
|
|
BLAKE2b-256 checksum How to use checksums |
5f1a40641a6bef26db2374ec928039748121860c16774c49be8c081fef67e97f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5
|
Release files / tfa_nightly-0.7.0.dev20200103-cp36-cp36m-macosx_10_13_x86_64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp36-cp36m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 547.1 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
ef9e4a04e6fc2609480d843f103eb68c1153cbba25ae5c7aa967eec839989c3c
|
|
BLAKE2b-256 checksum How to use checksums |
25b63663f84487e49f6050cd8729bd99edb15a6651223c831ebffbc9892afcf7
|
| 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Release files / tfa_nightly-0.7.0.dev20200103-cp35-cp35m-win_amd64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp35-cp35m-win_amd64.whl |
|---|---|
| Size | 887.4 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Windows x86-64 |
|
SHA-256 checksum How to use checksums |
6f0479c25dd146f0a1b9213e24a8e7d5057fc79add0172f9f0d0bca51066ee1c
|
|
BLAKE2b-256 checksum How to use checksums |
d6b5507f59840c621133cf8d0756bfaee68e11c246ab44dd1cb7d362bf9f63d3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5
|
Release files / tfa_nightly-0.7.0.dev20200103-cp35-cp35m-macosx_10_13_x86_64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp35-cp35m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 547.1 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
0722ebebd0cb4be4d7fa66ae01a80c1bdefa115aff934cbccdc9de06612d7da0
|
|
BLAKE2b-256 checksum How to use checksums |
45a4e6a007cf9334701f28f0f5752198017c21779ef1ffc38f6047cc942f5714
|
| 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Release files / tfa_nightly-0.7.0.dev20200103-cp27-cp27m-macosx_10_13_x86_64.whl
| Download URL | tfa_nightly-0.7.0.dev20200103-cp27-cp27m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 547.0 kB |
| Tags | CPython 2.7 CPython 2.7 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
5645a1da3346599f2e9f5a08a3b4116640ff9ec528698ccda488cd1d24948f92
|
|
BLAKE2b-256 checksum How to use checksums |
487f9e100ad72e1689bce6b923f642eefa16c192bbb78b789be897fc346b0736
|
| 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.17
|
Security for tfa-nightly 0.7.0.dev20200103
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.
