|View source on GitHub|
Loads a TensorFlow plugin, containing custom ops and kernels.
Compat aliases for migration
See Migration guide for more details.
tf.load_op_library( library_filename )
Pass "library_filename" to a platform-specific mechanism for dynamically loading a library. The rules for determining the exact location of the library are platform-specific and are not documented here. When the library is loaded, ops and kernels registered in the library via the
REGISTER_* macros are made available in the TensorFlow process. Note that ops with the same name as an existing op are rejected and not registered with the process.
| ||Path to the plugin. Relative or absolute filesystem path to a dynamic library file.|
|A python module containing the Python wrappers for Ops defined in the plugin.|
| ||when unable to load the library or get the python wrappers.|
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.