code: def send_recv(cls, comm, in_array, out_array, peer, stream=None):
      comm._check_contiguous(in_array)
      comm._check_contiguous(out_array)
      stream = comm._get_stream(stream)
      idtype, icount = _get_nccl_dtype_and_count(in_array)
      odtype, ocount = _get_nccl_dtype_and_count(out_array)
      nccl.groupStart()
      cls._send(comm, in_array, peer, idtype, icount, stream)
      cls._recv(comm, out_array, peer, odtype, ocount, stream)
      nccl.groupEnd()
  
imports: import numpy
  import warnings
  import cupy
  from cupy.cuda import nccl
  from cupyx.distributed import _store
  from cupyx.distributed._comm import _Backend
  from cupyx.scipy import sparse
label_desc: Use image node_id 10 for calling the _DenseNCCLCommunicator obj's underlying member method code with example usage: obj.send_recv(cls, comm, in_array, out_array, peer, stream) without return types