code: def _SparseTensorValue_3x3(self, negate=False):
      # [    1]
      # [2    ]
      # [3   4]
      # ...or its cwise negation, if `negate`
      ind = np.array([[0, 1], [1, 0], [2, 0], [2, 1]])
      val = np.array([1, 2, 3, 4])
      if negate:
          val = -np.array([1, 2, 3, 4])
      shape = np.array([3, 3])
      return sparse_tensor.SparseTensorValue(
          np.array(ind, np.int64),
          np.array(val, np.float32),
          np.array(shape, np.int64),
      )
  
imports: import timeit
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  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 gradient_checker
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the SparseAddTest obj's underlying member method code with example usage: obj._SparseTensorValue_3x3(negate) and returns: sparse_tensor