import tensorflow as tf
import os
saved_model_dir = "./model_code/test8/encoder/"
if not os.path.exists(saved_model_dir):
raise FileNotFoundError(f"Model file not found at:{saved_model_dir}")
converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
converter.optimizations = [tf.lite.Optimize.DEFAULT]
tflite_model = converter.convert()
with open("enc1.tflite", "wb") as f:
f.write(tflite_model)
import tensorflow as tf
import os
saved_model_dir = "./model_code/test8/encoder/"
if not os.path.exists(saved_model_dir):
raise FileNotFoundError(f"Model file not found at:{saved_model_dir}")
converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
converter.optimizations = [tf.lite.Optimize.DEFAULT]
tflite_model = converter.convert()
with open("enc1.tflite", "wb") as f:
f.write(tflite_model)