So konvertieren Sie das TensorFlow 1.15 -Modell in Tflite

# Converting a GraphDef from session.converter = tf.compat.v1.lite.TFLiteConverter.from_session(  sess, in_tensors, out_tensors)tflite_model = converter.convert()open("converted_model.tflite", "wb").write(tflite_model)# Converting a GraphDef from file.converter = tf.compat.v1.lite.TFLiteConverter.from_frozen_graph(  graph_def_file, input_arrays, output_arrays)tflite_model = converter.convert()open("converted_model.tflite", "wb").write(tflite_model)# Converting a SavedModel.converter = tf.compat.v1.lite.TFLiteConverter.from_saved_model(    saved_model_dir)tflite_model = converter.convert()open("converted_model.tflite", "wb").write(tflite_model)# Converting a tf.keras model.converter = tf.compat.v1.lite.TFLiteConverter.from_keras_model_file(    keras_model)tflite_model = converter.convert()open("converted_model.tflite", "wb").write(tflite_model)
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