code: def __recv_rb(args, variables=None, wait=False, jit=False):
      x, target_rank, y = args[:3]
      dist.OOB.recv(target_rank)
      if RawHIPBuffer and x.__class__ is RawHIPBuffer:
          x._transfer(y)
      elif isinstance(x, RawBuffer):
          x._copyin(y.toCPU())
      else:
          x.fromCPU(y.toCPU())
      if DEBUG >= 2:
          print(
              f"{colored('****', 'magenta' if jit else None)}  rank {getenv('RANK')} recv {x} from rank {target_rank}"
          )
  
imports: import ctypes
  from extra import dist
  from multiprocessing import shared_memory
  from tinygrad.helpers import DEBUG, colored, getenv
  from tinygrad.lazy import LazyBuffer
  from tinygrad.runtime.lib import RawBuffer, RawBufferCopyInOut
  from tinygrad.runtime.ops_disk import RawDiskBuffer
  from tinygrad.jit import CacheCollector
  from tinygrad.tensor import Tensor, Function
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: __recv_rb(args, variables, wait, jit) without return types