docstr: This function sets the needed values and parameters to perform streaming. The configuration (CacheAwareStreamingConfig) need to be stored in self.streaming_cfg.
  The streaming configuration is needed to simulate streaming inference. It would set the following
docstr_tok: ["This","function","sets","the","needed","values","and","parameters","to","perform","streaming",".","The","configuration","(","CacheAwareStreamingConfig",")","need","to","be","stored","in","self.streaming_cfg",".","The","streaming","configuration","is","needed","to","simulate","streaming","inference",".","It","would","set","the","following"]
code: def setup_streaming_params(
      self,
      max_look_ahead: int = 10000,
  ):
      """
      This function sets the needed values and parameters to perform streaming. The configuration (CacheAwareStreamingConfig) need to be stored in self.streaming_cfg.
      The streaming configuration is needed to simulate streaming inference. It would set the following
      """
      pass
  
imports: from abc import ABC, abstractmethod
  import torch
label_desc: Use image node_id 1 for calling the StreamingEncoder obj's underlying member method code with example usage: obj.setup_streaming_params(max_look_ahead) without return types