code: def test_unary(self, use_cpu_only, backend, rank, mode):
      input_shape = np.random.randint(low=2, high=6, size=rank)
      input_shape = tuple(input_shape)
      if mode == "sinh":
          operation = torch.sinh
  
      model = ModuleWrapper(function=operation)
      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 1 for calling the TestElementWiseUnary obj's underlying member method code with example usage: obj.test_unary(use_cpu_only, backend, rank, mode) without return types