code: def init_tensors(self):
      with cp.cuda.Device(0):
          self.buffer0 = cp.ones((10,), dtype=cp.float32)
          self.list_buffer0 = [
              cp.ones((10,), dtype=cp.float32) for _ in range(4)
          ]
      with cp.cuda.Device(1):
          self.buffer1 = cp.ones((10,), dtype=cp.float32)
          self.list_buffer1 = [
              cp.ones((10,), dtype=cp.float32) for _ in range(4)
          ]
      cp.cuda.Stream.null.synchronize()
      return True
  
imports: import cupy
  import logging
  import ray
  import ray.util.collective
  from ray.util.collective.types import Backend, ReduceOp
  from ray.util.collective.collective_group.nccl_util import get_num_gpus
  import torch
label_desc: Use image node_id 3 for calling the MultiGPUWorker obj's underlying member method code with example usage: obj.init_tensors() and returns: True