Hi, my model is already in Tensorflow Lite format.  Here’s the tflite file 6.

tflite_interpreter = tf.lite.Interpreter(model_path=model_path)
tflite_interpreter.allocate_tensors()
input_details = tflite_interpreter.get_input_details()
output_details = tflite_interpreter.get_output_details()
print("== Input details ==")
print(“name:”, input_details[0][‘name’])
print(“shape:”, input_details[0][‘shape’])
print(“type:”, input_details[0][‘dtype’])
print("\n== Output details ==")
print(“name:”, output_details[0][‘name’])
print(“shape:”, output_details[0][‘shape’])
print(“type:”, output_details[0][‘dtype’])

I am loading the details of my model, but cannot proceed with the required operations to execute grad-cam