code: def test_sparse_nd_zeros():
      def check_sparse_nd_zeros(stype, shape):
          zero = mx.nd.zeros(shape)
          sparse_zero = mx.nd.zeros(shape=shape, stype=stype)
          assert_almost_equal(sparse_zero.asnumpy(), zero.asnumpy())
  
      shape = rand_shape_2d()
      check_sparse_nd_zeros("row_sparse", shape)
      check_sparse_nd_zeros("csr", shape)
      check_sparse_nd_zeros("default", 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 24 for calling a global function with example usage: test_sparse_nd_zeros() without return types