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 movingfield 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 smallersubset of the community).
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Release files for tfa-nightly 0.3.0.dev20190422
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tfa_nightly-0.3.0.dev20190422-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-0.3.0.dev20190422-cp27-cp27mu-manylinux1_x86_64.whl |
Release files / tfa_nightly-0.3.0.dev20190422-cp27-cp27mu-manylinux1_x86_64.whl
| Download URL | tfa_nightly-0.3.0.dev20190422-cp27-cp27mu-manylinux1_x86_64.whl |
|---|---|
| Size | 532.7 kB |
| Tags | CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 |
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SHA-256 checksum How to use checksums |
13f726037f052eecc28b68c562ca1ae7fb7360541b034c0ad96b6feebadb3cc7
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1
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