code: def testUnorderedIndicesForSparseTensorDenseMatmul(self):
      indices = np.array([(2, 1), (0, 0)]).astype(np.int64)
      values = np.array([10, 11]).astype(np.float32)
      shape = [3, 2]
      sparse_t = sparse_tensor.SparseTensor(indices, values, shape)
  
      dense_t = np.array([[1] * 500, [2] * 500], dtype=np.float32)
      expected_t = np.array(
          [[11] * 500, [0] * 500, [20] * 500], dtype=np.float32
      )
  
      self.assertAllClose(
          expected_t,
          sparse_ops.sparse_tensor_dense_matmul(sparse_t, dense_t),
      )
  
imports: import sys
  import time
  from absl import app
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  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 tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the SparseTensorDenseMatMulTest obj's underlying member method code with example usage: obj.testUnorderedIndicesForSparseTensorDenseMatmul() without return types