code: def _runScatter(self, op):
      indices_np = np.array([[4], [3], [1], [7]], dtype=np.int32)
      updates_np = np.array([9, 10, 11, 12], dtype=np.float32)
      with self.session() as sess, self.test_scope():
          indices = array_ops.placeholder(
              indices_np.dtype, shape=indices_np.shape
          )
          updates = array_ops.placeholder(
              updates_np.dtype, shape=updates_np.shape
          )
          t = array_ops.ones([8], dtype=np.float32)
  
          out = op(t, indices, updates)
          return sess.run(
              out, feed_dict={indices: indices_np, updates: updates_np}
          )
  
imports: import functools
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ScatterNdTensorTest obj's underlying member method code with example usage: obj._runScatter(op) and returns: sess