docstr: state: N + state_shape + history
docstr_tok: ["state",":","N","+","state_shape","+","history"]
code: def _get_DQN_prediction(self, state):
      """
      state: N + state_shape + history
      """
      pass
  
file_path: tensorpack/examples/DeepQNetwork/DQNModel.py
imports: import abc
  from tensorpack import ModelDesc
  from tensorpack.compat import tfv1
  from tensorpack.tfutils import gradproc, optimizer, summary, varreplace
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.utils import logger
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj._get_DQN_prediction(state) without return types