code: def test_strip_lcedequantize_ops(
      model_cls, inference_input_type, inference_output_type
  ):
      model_lce = convert_keras_model(
          model_cls(),
          inference_input_type=inference_input_type,
          inference_output_type=inference_output_type,
      )
      model_lce = strip_lcedequantize_ops(model_lce)
      interpreter = tf.lite.Interpreter(model_content=model_lce)
      output_details = interpreter.get_output_details()
      assert len(output_details) == 1
      assert output_details[0]["dtype"] == tf.int32.as_numpy_dtype
  
file_path: compute-engine/larq_compute_engine/tests/strip_lcedequantize_test.py
imports: import sys
  import larq
  import pytest
  import tensorflow
  from larq_compute_engine.mlir.python.converter import convert_keras_model
  from larq_compute_engine.mlir.python.util import strip_lcedequantize_ops
label_desc: Use image node_id 4 for calling a global function with example usage: test_strip_lcedequantize_ops(model_cls, inference_input_type, inference_output_type) without return types