Habana TensorFlow Python package
habana-tensorflow is a package designed for easy integration of Gaudi bridge to Tensorflow topologies.
Main entry point (Python import) is habana_frameworks.tensorflow module that contains all the necessary functions to work with Gaudi.
Structure
Properly built wheel contains:
habana_frameworkspython namespace (with all the folder structure inside)- libraries for all supported versions of TF (see
habana_frameworks.tensorflow.sysconfig._supported_tf_versions) located inhabana_frameworks/tensorflow/tf<version_with_underscores>/lib/habanalabs/ - proper licensing
When loading habana_tensorflow, there is sanity check for currently installed TF version in the system, to match libraries found in the module.
TensorFlow package (habana_frameworks.tensorflow)
Most important module inside is library_loader and function load_habana_module(), that is exposed directly after import.
It initializes the module properly.
Example:
import habana_frameworks.tensorflow as htf
htf.load_habana_module()
List of modules inside habana_frameworks.tensorflow
All modules are described in official docs.
1 maintainer
Metadata
1 maintainer
Release files for habana-tensorflow 1.14.0.493
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| habana_tensorflow-1.14.0.493-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.17+ x86-64 | Details |
Release files / habana_tensorflow-1.14.0.493-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | habana_tensorflow-1.14.0.493-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 6.7 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
546a4ad5c481ef1dd19bf1d6103a4e01a6203a72cd54b2b0feddf55d2207e614
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BLAKE2b-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.2 CPython/3.8.16
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