class_docstr: Dummy Policy Network.
class_docstr_tok: ["Dummy","Policy","Network","."]
docstr: Dummy action function. Always returns 1.
docstr_tok: ["Dummy","action","function",".","Always","returns","1","."]
code: def action(self, unused_observation):
      """Dummy action function. Always returns 1."""
      del unused_observation
      action = torch.Tensor([self._action], dtype=torch.float32)
      return action
  
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  import torch
  from torch.nn import functional
  from garage.envs import GymEnv, normalize
  from garage.experiment import deterministic
  from garage.replay_buffer import PathBuffer
  from garage.sampler import FragmentWorker, LocalSampler
  from garage.torch import set_gpu_mode
  from garage.torch.algos import SAC
  from garage.torch.policies import TanhGaussianMLPPolicy
  from garage.torch.q_functions import ContinuousMLPQFunction
  from garage.trainer import Trainer
  from tests.fixtures import snapshot_config
label_desc: Use image node_id 3 for calling the DummyActorPolicy obj's underlying member method code with example usage: obj.action(unused_observation) and returns: action