code: def testNeg(self, use_mlir):
      if use_mlir:
          SetTracingImplementation("mlir")
  
      def model(a):
          return unified_math_ops.neg(a)
  
      with context_lib.set_default(get_immediate_execution_context()):
          a = TensorCastHelper(constant_op.constant([2.0]))
  
          func_output = def_function.function(model)(a)
          self.assertAllEqual(func_output.numpy(), [-2.0])
  
          eager_output = model(a)
          self.assertAllEqual(eager_output.numpy(), [-2.0])
  
imports: import timeit
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework.experimental import _unified_api
  from tensorflow.python.framework.experimental import context_stack
  from tensorflow.python.framework.experimental import def_function
  from tensorflow.python.framework.experimental import math_ops
  from tensorflow.python.framework.experimental import nn_ops
  from tensorflow.python.framework.experimental import tape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the UnifiedApiTest obj's underlying member method code with example usage: obj.testNeg(use_mlir) and returns: unified_math_ops