e4b6611cb73ef7658f028831be1aa6bd85ecbed0,src/garage/torch/policies/deterministic_mlp_policy.py,DeterministicMLPPolicy,get_action,#DeterministicMLPPolicy#Any#,48

Before Change

        
        with torch.no_grad():
            x = self(torch.Tensor(observation).unsqueeze(0))
            return x.squeeze(0).numpy(), dict()

    def get_actions(self, observations):
        Get actions given observations.

After Change

            observation = self._env_spec.observation_space.flatten(observation)
        with torch.no_grad():
            observation = torch.Tensor(observation).unsqueeze(0)
            action, agent_infos = self.get_actions(observation)
            return action[0], {k: v[0] for k, v in agent_infos.items()}

    def get_actions(self, observations):
        Get actions given observations.

Instances