code: def linear_with_async_comm(
      input_, weight, bias, process_group, async_grad_allreduce
  ):
      return LinearWithAsyncCommunication.apply(
          input_, weight, bias, process_group, async_grad_allreduce
      )
  
imports: import torch
  import torch.distributed
  import torch.nn.functional
label_desc: Use image node_id 7 for calling a global function with example usage: linear_with_async_comm(input_, weight, bias, process_group, async_grad_allreduce) and returns: LinearWithAsyncCommunication