code: def __init__(self, pool_size, buffer_size, emb_dim):
      super().__init__()
  
      self.pool_size = pool_size
      self.buffer_size = buffer_size
      self.emb_dim = emb_dim
  
      self._push_streams = [None] * pool_size
      self._pull_streams = [None] * pool_size
      self._cpu_buffers = [None] * pool_size
      self._gpu_buffers = [None] * pool_size
      self._push_cache = [None] * pool_size
      self._pull_queue = []
      self._pull_index = -1
      self._push_index = -1
  
imports: import numpy
  import paddle
  from paddle.framework import core
  from paddle.device import cuda
  from pgl.utils.logger import log
label_desc: Use image node_id 1 to create a new StreamPool object from inherited base classes: paddle.nn with example: obj = StreamPool(pool_size, buffer_size, emb_dim)