code: def test_matmul_various_ops(self, config, mode):
      config = MatMulConfig(
          config.a, combine_configs(config.b, config.b)
      )
      np_a, d_a, np_b, d_b = config.instantiate(mode)
  
      index_map_a = d_a.index_map
      index_map_a[0] = index_map_a[0] * 2
  
      np_a2 = np_a + 1
      d_a2 = d_a.reshard(index_map_a) + array.distributed_array(
          cupy.ones_like(d_a.get()), index_map_a
      )
  
      np_b2 = np_b.sum(axis=0)
      d_b2 = d_b.sum(axis=0)
  
      index_map_b = d_b2.index_map
      index_map_b[0], index_map_b[1] = index_map_b[1], index_map_b[0]
      d_b3 = d_b2.reshard(index_map_b)
  
      np_c = np_a2 @ np_b2
      d_c = d_a2 @ d_b3
      testing.assert_array_equal(d_c.get(), np_c, strict=True)
  
imports: import dataclasses
  import math
  import pytest
  import numpy
  import cupy
  from cupy import testing
  from cupyx.distributed.array import _linalg
  from cupyx.distributed import array
  from cupyx.distributed.array import REPLICA, SUM
label_desc: Use image node_id 5 for calling the TestDistributedMatMul obj's underlying member method code with example usage: obj.test_matmul_various_ops(config, mode) without return types