class_docstr: Test class for torch algo utility functions.
class_docstr_tok: ["Test","class","for","torch","algo","utility","functions","."]
docstr: Test pad_to_last function for 1d.
docstr_tok: ["Test","pad_to_last","function","for","1d","."]
code: def test_add_padding_last_1d(self):
      """Test pad_to_last function for 1d."""
      max_length = 10
  
      expected = F.pad(
          torch.Tensor(nums_1d), (0, max_length - nums_1d.shape[-1])
      )
  
      tensor_padding = pad_to_last(nums_1d, total_length=max_length)
      assert expected.eq(tensor_padding).all()
  
      tensor_padding = pad_to_last(nums_1d, total_length=10, axis=0)
      assert expected.eq(tensor_padding).all()
  
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 2 for calling the TestTorchAlgoUtils obj's underlying member method code with example usage: obj.test_add_padding_last_1d() without return types