code: def recv(x: Tensor, target_rank: int) -> Tensor:
      return Recv.apply(
          x.contiguous().realize(), target_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 8 for calling a global function with example usage: recv(x, target_rank) and returns: Recv