code: def test_upsample_nearest2d_with_output_size(
      self, output_size, backend
  ):
      input_shape = (1, 3, 10, 10)
      model = ModuleWrapper(
          nn.functional.interpolate,
          {"size": output_size, "mode": "nearest"},
      )
      run_compare_torch(input_shape, model, backend=backend)
  
imports: import sys
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import *
label_desc: Use image node_id 3 for calling the TestUpsample obj's underlying member method code with example usage: obj.test_upsample_nearest2d_with_output_size(output_size, backend) without return types