class_docstr: Test the PipelineHelper class.
class_docstr_tok: ["Test","the","PipelineHelper","class","."]
code: def test_split_tensor(self):
      t = torch.randn(32, 5)
      for st in PipelineHelper.split(t, 8):
          assert st.shape == (8, 5)
      a, b = PipelineHelper.split(t, 17)
      assert a.shape == (17, 5)
      assert b.shape == (15, 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 2 for calling the TestPipelineHelper obj's underlying member method code with example usage: obj.test_split_tensor() without return types