Loads a TensorFlow plugin, containing custom ops and kernels.

# Aliases:

• tf.compat.v1.load_op_library
• tf.compat.v2.load_op_library

 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.