code: def test_target_arg(self):
      with context.eager_mode():
          model = get_test_model()
  
          # These should work
          convert_keras_model(model, target="arm")
          convert_keras_model(model, target="xcore")
  
          # Anything else shouldn't
          with self.assertRaises(
              ValueError, msg='Expected `target` to be "arm" or "xcore"'
          ):
              convert_keras_model(model, target="x86")
  
file_path: compute-engine/larq_compute_engine/mlir/python/converter_test.py
imports: import sys
  import unittest
  from unittest import mock
  import tensorflow
  import larq
  from tensorflow.python.eager import context
  from larq_compute_engine.mlir.python.converter import convert_keras_model
  from larq_compute_engine.mlir._tf_tfl_flatbuffer import convert_saved_model_to_tflite_flatbuffer
label_desc: Use image node_id 3 for calling the TestConverter obj's underlying member method code with example usage: obj.test_target_arg() without return types