class_docstr: Replay Memory for saving data.
  Args:
      max_size (int): size of replay memory
      obs_dim (int): dimension of the observation
class_docstr_tok: ["Replay","Memory","for","saving","data",".","Args",":","max_size","(","int",")",":","size","of","replay","memory","obs_dim","(","int",")",":","dimension","of","the","observation"]
code: def size(self):
      return self._curr_size
  
file_path: PARL/examples/Baselines/Halite_competition/torch/rl_trainer/replay_memory.py
imports: import numpy
label_desc: Use image node_id 6 for calling the ReplayMemory obj's underlying member method code with example usage: obj.size() and returns: self