code: def test_sparse_nd_binary_iop():
      N = 3
  
      def check_binary(fn, stype):
          for _ in range(N):
              ndim = 2
              oshape = np.random.randint(1, 6, size=(ndim,))
              lshape = list(oshape)
              rshape = list(oshape)
              lhs = np.random.uniform(0, 1, size=lshape)
              rhs = np.random.uniform(0, 1, size=rshape)
              lhs_nd = mx.nd.array(lhs).tostype(stype)
              rhs_nd = mx.nd.array(rhs).tostype(stype)
              assert_allclose(
                  fn(lhs, rhs),
                  fn(lhs_nd, rhs_nd).asnumpy(),
                  rtol=1e-4,
                  atol=1e-4,
              )
  
      def inplace_add(x, y):
          x += y
          return x
  
      def inplace_mul(x, y):
          x *= y
          return x
  
      stypes = ["csr", "row_sparse"]
      fns = [inplace_add, inplace_mul]
      for stype in stypes:
          for fn in fns:
              check_binary(fn, stype)
  
imports: import pickle
  from mxnet.ndarray import NDArray
  import mxnet
  from mxnet.test_utils import *
  from common import random_seed
  from mxnet.base import mx_real_t
  from numpy.testing import assert_allclose
  import numpy.random
  import numpy
  import scipy.sparse
  from common import assertRaises, xfail_when_nonstandard_decimal_separator
  from mxnet.ndarray.sparse import RowSparseNDArray, CSRNDArray
  import pytest
label_desc: Use image node_id 16 for calling a global function with example usage: test_sparse_nd_binary_iop() and returns: x, x