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Edge TPU tf.lite.experimental.load_delegate fix (#6536)

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* Edge TPU `tf.lite.experimental.load_delegate` fix

Fix attempt for #6535

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Glenn Jocherandpre-commit-ci[bot] authored and GitHub committed 2022-02-04 09:30:01 +01:00
1 parent 9bc72a3ac2
commit 079b36d72b
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models/common.py
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@@ -374,19 +374,20 @@ class DetectMultiBackend(nn.Module):
graph_def.ParseFromString(open(w, 'rb').read())
frozen_func = wrap_frozen_graph(gd=graph_def, inputs="x:0", outputs="Identity:0")
elif tflite: # https://www.tensorflow.org/lite/guide/python#install_tensorflow_lite_for_python
try:
import tflite_runtime.interpreter as tfl # prefer tflite_runtime if installed
try: # prefer tflite_runtime if installed
from tflite_runtime.interpreter import Interpreter, load_delegate
except ImportError:
import tensorflow.lite as tfl
import tensorflow.lite.experimental.load_delegate as load_delegate
import tensorflow.lite.Interpreter as Interpreter
if 'edgetpu' in w.lower(): # Edge TPU https://coral.ai/software/#edgetpu-runtime
LOGGER.info(f'Loading {w} for TensorFlow Lite Edge TPU inference...')
delegate = {'Linux': 'libedgetpu.so.1',
'Darwin': 'libedgetpu.1.dylib',
'Windows': 'edgetpu.dll'}[platform.system()]
interpreter = tfl.Interpreter(model_path=w, experimental_delegates=[tfl.load_delegate(delegate)])
interpreter = Interpreter(model_path=w, experimental_delegates=[load_delegate(delegate)])
else: # Lite
LOGGER.info(f'Loading {w} for TensorFlow Lite inference...')
interpreter = tfl.Interpreter(model_path=w) # load TFLite model
interpreter = Interpreter(model_path=w) # load TFLite model
interpreter.allocate_tensors() # allocate
input_details = interpreter.get_input_details() # inputs
output_details = interpreter.get_output_details() # outputs