code: def test_as_torch_dict():
      """Test if dict whose values are tensors can be converted to np arrays."""
      dic = {"a": np.zeros(1), "b": np.ones(1)}
      as_torch_dict(dic)
      for dic_value in dic.values():
          assert isinstance(dic_value, torch.Tensor)
  
imports: import collections
  import numpy
  import pytest
  import torch
  from torch import tensor
  import torch.nn.functional
  from garage.envs import GymEnv, normalize
  from garage.experiment.deterministic import set_seed
  from garage.torch import as_torch_dict, compute_advantages, flatten_to_single_vector, global_device, pad_to_last, product_of_gaussians, set_gpu_mode, state_dict_to, torch_to_np
  import garage.torch._functions
  from garage.torch.policies import DeterministicMLPPolicy
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 4 for calling a global function with example usage: test_as_torch_dict() without return types