class_docstr: Test the PipelineHelper class.
class_docstr_tok: ["Test","the","PipelineHelper","class","."]
code: def test_split_tuple(self):
      t = torch.randn(32, 5)
      tup = (t, t, t)
      for stup in PipelineHelper.split(tup, 8):
          assert isinstance(stup, tuple)
          assert len(stup) == 3
          for i in range(3):
              assert stup[i].shape == (8, 5)
  
imports: import torch
  import numpy
  import unittest
  from parlai.utils.torch import padded_tensor, argsort, PipelineHelper, neginf, IdentityLayer, trainable_parameters, total_parameters
label_desc: Use image node_id 3 for calling the TestPipelineHelper obj's underlying member method code with example usage: obj.test_split_tuple() without return types