tf.lite.experimental.load_delegate
Returns loaded Delegate object.
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)
|
Raises |
ValueError
|
Delegate failed to load.
|
RuntimeError
|
If delegate loading is used on unsupported platform.
|
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Last updated 2023-03-17 UTC.
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