code: def _input():
      x = torch.rand(128, 8, device="cuda")
      y = torch.zeros(128, 1, device="cuda")
  
      y[torch.sum(x, dim=1) >= 4] = 1.0
  
      return x, y
  
imports: import os
  import shutil
  import traceback
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  from torch.distributed._tensor.device_mesh import init_device_mesh
  from torch.distributed.checkpoint.filesystem import _FileSystemCheckpointer
  from torch.distributed.checkpoint.state_dict import _patch_model_state_dict, _patch_optimizer_state_dict
  from torch.distributed.fsdp import FullyShardedDataParallel
label_desc: Use image node_id 3 for calling a global function with example usage: _input() and returns: x,  y