code: def send(cls, comm, array, peer, stream=None):
      arrays = cls._get_internal_arrays(array)
      shape_and_sizes = cls._get_shape_and_sizes(arrays, array.shape)
      cls._exchange_shape_and_sizes(
          comm, peer, shape_and_sizes, "send", stream
      )
      # Naive approach, we send each of the subarrays one by one
      nccl.groupStart()
      for a in arrays:
          cls._send(comm, a, peer, a.dtype, a.size, 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 _SparseNCCLCommunicator obj's underlying member method code with example usage: obj.send(cls, comm, array, peer, stream) without return types