class_docstr: Torch version of FastModel (tf).
class_docstr_tok: ["Torch","version","of","FastModel","(","tf",")","."]
code: def forward(self, input_dict, state, seq_lens):
      self._output = self.bias + torch.zeros(
          size=(input_dict["obs"].shape[0], self.num_outputs)
      ).to(self.bias.device)
      return self._output, []
  
file_path: ray/rllib/examples/models/fast_model.py
imports: from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.torch.misc import SlimFC
  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, try_import_torch
label_desc: Use image node_id 2 for calling the TorchFastModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: self,  list