code: def test_sparse_nd_zeros_like():
      def check_sparse_nd_zeros_like(stype, shape):
          zero = mx.nd.zeros(shape, stype=stype)
          zero_like = mx.nd.sparse.zeros_like(zero)
          assert_almost_equal(zero.asnumpy(), zero_like.asnumpy())
  
      shape = rand_shape_2d()
      check_sparse_nd_zeros_like("row_sparse", shape)
      check_sparse_nd_zeros_like("csr", shape)
  
imports: from mxnet.test_utils import *
  from mxnet.base import MXNetError
  import pytest
  from common import assertRaises
  import random
  import warnings
label_desc: Use image node_id 25 for calling a global function with example usage: test_sparse_nd_zeros_like() without return types