code: def run_lite():
      import tflite_runtime.interpreter as tflite
  
      intp = tflite.Interpreter(FLAGS.model)
      intp.allocate_tensors()
      input_idx = intp.get_input_details()[0]["index"]
      intp.set_tensor(
          input_idx,
          np.random.random(size=(1, 224, 224, 3)).astype(np.float32),
      )
      intp.invoke()
      output_idx = intp.get_output_details()[0]["index"]
      y = intp.get_tensor(output_idx)
      res = ",".join("%.5f" % i for i in y[0])
      print(res)
      print(hashlib.sha256(res.encode()).hexdigest()[:5])
  
imports: from absl import flags, app
  import numpy
  from os import path
  import hashlib
label_desc: Use image node_id 1 for calling a global function with example usage: run_lite() without return types