tf.lite.experimental.load_delegate

Returns loaded Delegate object.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.lite.experimental.load_delegate

tf.lite.experimental.load_delegate(
    library, options=None
)

Example usage:

import tensorflow as tf

try:
  delegate = tf.lite.experimental.load_delegate('delegate.so')
except ValueError:
  // Fallback to CPU

if delegate:
  interpreter = tf.lite.Interpreter(
      model_path='model.tflite',
      experimental_delegates=[delegate])
else:
  interpreter = tf.lite.Interpreter(model_path='model.tflite')

This is typically used to leverage EdgeTPU for running TensorFlow Lite models. For more information see: https://coral.ai/docs/edgetpu/tflite-python/

Args
library	Name of shared library containing the TfLiteDelegate.
options	Dictionary of options that are required to load the delegate. All keys and values in the dictionary should be convertible to str. Consult the documentation of the specific delegate for required and legal options. (default None)

Returns
Delegate object.

Raises
ValueError	Delegate failed to load.
RuntimeError	If delegate loading is used on unsupported platform.