code: def dist_tensor_test_destroy_recreate(data_shape, name):
      dist_ten = dgl.distributed.DistTensor(
          data_shape, F.float32, name, init_func=zeros_init
      )
      del dist_ten
  
      dgl.distributed.client_barrier()
  
      new_shape = (data_shape[0], 4)
      dist_ten = dgl.distributed.DistTensor(
          new_shape, F.float32, name, init_func=zeros_init
      )
  
imports: import json
  import os
  from itertools import product
  import dgl
  import dgl.backend
  import numpy
  from dgl.distributed import edge_split, load_partition_book, node_split
label_desc: Use image node_id 14 for calling a global function with example usage: dist_tensor_test_destroy_recreate(data_shape, name) without return types