code: def _allocate_peer_tensor(self, halo):
      # Compute size in bytes
      # Note: Pad buffer so each CUDA block gets required buffer size
      size = 4 * halo.numel() * halo.element_size()
      size_per_block = (
          128 * 2 * 16
      )  # 128 threads each require two 128b buffers
      size = (
          (size + size_per_block - 1) // size_per_block * size_per_block
      )
  
      # Construct dtype peer buffer with desired size
      shape = [1, 1, 1, size // halo.element_size()]
      return self.peer_pool.allocate_peer_tensors(
          shape, halo.dtype, False, True
      )
  
imports: import torch
  from apex.contrib.peer_memory import PeerMemoryPool
  import peer_memory_cuda
label_desc: Use image node_id 2 for calling the PeerHaloExchanger1d obj's underlying member method code with example usage: obj._allocate_peer_tensor(halo) and returns: self