class_docstr: Dummy Policy Network.
class_docstr_tok: ["Dummy","Policy","Network","."]
docstr: Dummy forward operation. Returns a dummy distribution.
docstr_tok: ["Dummy","forward","operation",".","Returns","a","dummy","distribution","."]
code: def __call__(self, observation):
      """Dummy forward operation. Returns a dummy distribution."""
      action = torch.Tensor([self._action])
      return _MockDistribution(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 2 for calling the DummyActorPolicy obj's underlying member method code with example usage: obj.__call__(observation) and returns: _MockDistribution,  dict