code: def _test_compile_model_path(
      self, compiled_model_path, compute_units=ComputeUnit.ALL
  ):
      try:
          # Load compiled model
          model = CompiledMLModel(compiled_model_path, compute_units)
  
          # Single prediction
          y = model.predict({"x": 2})
          assert y["y"] == 4.1
  
          # Batch predictions
          y = model.predict([{"x": 2}, {"x": 4}])
          assert y == [{"y": 4.1}, {"y": 8.1}]
      finally:
          rmtree(compiled_model_path)
  
file_path: coremltools/coremltools/test/neural_network/test_compiled_model.py
imports: from shutil import copytree, rmtree
  from tempfile import TemporaryDirectory
  import pytest
  from coremltools import ComputeUnit
  from coremltools.models import CompiledMLModel, MLModel
  from coremltools.models.utils import compile_model, load_spec, save_spec
  from coremltools.proto import Model_pb2
label_desc: Use image node_id 2 for calling the TestCompiledModel obj's underlying member method code with example usage: obj._test_compile_model_path(compiled_model_path, compute_units) without return types