code: def _compareSparseCpu(self, x, np_func, tf_func, tol):
      x_sp, x_sp_vals = _sparsify(x)
      res_np = np_func(x_sp_vals)
      with test_util.force_cpu():
          self._check(tf_func(x_sp), res_np, x_sp, tol)
  
imports: import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling the UnaryOpTest obj's underlying member method code with example usage: obj._compareSparseCpu(x, np_func, tf_func, tol) without return types