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Prefer tflite_runtime for TFLite inference if installed #6406

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Merged
glenn-jocher merged 3 commits into from
Jan 25, 2022
Merged

Prefer tflite_runtime for TFLite inference if installed #6406

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57ffb8e
import tflite_runtime if tensorflow not installed
motokimura Jan 24, 2022
632facf
rename tflite to tfli
motokimura Jan 25, 2022
022093b
Attempt tflite_runtime for all TFLite workflows
glenn-jocher Jan 25, 2022
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12 changes: 7 additions & 5 deletions models/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -374,17 +374,19 @@ def wrap_frozen_graph(gd, inputs, outputs):
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
if 'edgetpu' in w.lower(): # Edge TPU
try:
import tflite_runtime.interpreter as tfl # prefer tflite_runtime if installed
except ImportError:
import tensorflow.lite as tfl
if 'edgetpu' in w.lower(): # Edge TPU https://coral.ai/software/#edgetpu-runtime
LOGGER.info(f'Loading {w} for TensorFlow Lite Edge TPU inference...')
import tflite_runtime.interpreter as tfli # install https://coral.ai/software/#edgetpu-runtime
delegate = {'Linux': 'libedgetpu.so.1',
'Darwin': 'libedgetpu.1.dylib',
'Windows': 'edgetpu.dll'}[platform.system()]
interpreter = tfli.Interpreter(model_path=w, experimental_delegates=[tfli.load_delegate(delegate)])
interpreter = tfl.Interpreter(model_path=w, experimental_delegates=[tfl.load_delegate(delegate)])
else: # Lite
LOGGER.info(f'Loading {w} for TensorFlow Lite inference...')
import tensorflow as tf
interpreter = tf.lite.Interpreter(model_path=w) # load TFLite model
interpreter = tfl.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
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