code: def world_size(self):
      gpu_num = torch.cuda.device_count()
      return gpu_num if gpu_num % 2 == 0 and gpu_num > 4 else 4
  
imports: from collections import OrderedDict
  import torch
  from torch.distributed._tensor import DeviceMesh, DTensor, Replicate, Shard
  from torch.distributed.tensor.parallel._utils import _create_1d_device_mesh
  from torch.distributed.tensor.parallel.api import parallelize_module
  from torch.distributed.tensor.parallel.style import ColwiseParallel, PrepareModuleInput, PrepareModuleOutput, RowwiseParallel
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, MLPModule, with_comms
label_desc: Use image node_id 1 for calling the TensorParallelAPITests obj's underlying member method code with example usage: obj.world_size() and returns: unknown