code: def strip_lcedequantize_ops(model: bytes) -> bytes:
      """Strip the LceDequantize ops to directly output bitpacked tf.int32 tensors."""
      # Convert the model to an object
      model = _convert_model_from_bytearray_to_object(model)
  
      # Process each subgraph separately
      for subgraph in model.subgraphs:
          _strip_lcedequantize_ops_subgraph(model, subgraph)
  
      # Convert the model to a bytearray
      return _convert_model_from_object_to_bytearray(model)
  
file_path: compute-engine/larq_compute_engine/mlir/python/util.py
imports: import copy
  import flatbuffers
  import tensorflow
  from larq_compute_engine.mlir.python import tflite_schema
label_desc: Use image node_id 8 for calling a global function with example usage: strip_lcedequantize_ops(model) and returns: _convert_model_from_object_to_bytearray