Как преобразовать модель TensorFlow 1.15 в 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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