code: def _recv(cls, comm, out_array, peer, dtype, count, stream=None):
      dtype = dtype.char
      if dtype not in _nccl_dtypes:
          raise TypeError(f"Unknown dtype {out_array.dtype} for NCCL")
      dtype, count = _get_nccl_dtype_and_count(out_array)
      stream = comm._get_stream(stream)
      comm._comm.recv(out_array.data.ptr, count, dtype, peer, stream)
  
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 13 for calling the _SparseNCCLCommunicator obj's underlying member method code with example usage: obj._recv(cls, comm, out_array, peer, dtype, count, stream) without return types