code: def __init__(
      self,
      start_size=4,
      recent_size=512,
      k_seq_dim=2,
      v_seq_dim=2,
  ):
      print(f"StartRecentKVCache: {start_size}, {recent_size}")
      self.start_size = start_size
      self.recent_size = recent_size
      self.cache_size = start_size + recent_size
      self.k_seq_dim = k_seq_dim
      self.v_seq_dim = v_seq_dim
      self.k_slice = DIM_TO_SLICE[k_seq_dim]
      self.v_slice = DIM_TO_SLICE[v_seq_dim]
  
file_path: BigDL/python/llm/example/CPU/Applications/streaming-llm/streaming_llm/kv_cache.py
imports: import torch
label_desc: Use image node_id 1 to create a new StartRecentKVCache object  with example: obj = StartRecentKVCache(start_size, recent_size, k_seq_dim, v_seq_dim)