code: def benchmarkSparseAddDense(self):
      print("SparseAddDense: add with sparse_to_dense vs. sparse_add")
      print(
          "%nnz \t n \t m \t millis(s2d) \t millis(sparse_add) \t speedup"
      )
  
      for sparsity in [0.99, 0.5, 0.01]:
          for n in [1, 256, 50000]:
              for m in [100, 1000]:
                  s2d_dt, sa_dt = _s2d_add_vs_sparse_add(sparsity, n, m)
                  print(
                      "%.2f \t %d \t %d \t %.4f \t %.4f \t %.2f"
                      % (sparsity, n, m, s2d_dt, sa_dt, s2d_dt / sa_dt)
                  )
  
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 1 for calling the SparseAddBenchmark obj's underlying member method code with example usage: obj.benchmarkSparseAddDense() without return types