class_docstr: Trivial model that just returns the obs flattened.
  
  This is the model used if use_state_preprocessor=False.
class_docstr_tok: ["Trivial","model","that","just","returns","the","obs","flattened",".","This","is","the","model","used","if","use_state_preprocessor=False","."]
code: def forward(self, input_dict, state, seq_lens):
      return input_dict["obs_flat"].float(), state
  
file_path: ray/rllib_contrib/ddpg/src/rllib_ddpg/ddpg/noop_model.py
imports: from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 1 for calling the TorchNoopModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: input_dict,  state