Loads a TensorFlow plugin, containing custom ops and kernels.
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.
Args |
|---|
library_filename
|
Path to the plugin.
Relative or absolute filesystem path to a dynamic library file.
|
Returns |
|---|
|
A python module containing the Python wrappers for Ops defined in
the plugin.
|
Raises |
|---|
RuntimeError
|
when unable to load the library or get the python wrappers.
|
TensorFlow 1 version
View source on GitHub