class_docstr: Test the PipelineHelper class.
class_docstr_tok: ["Test","the","PipelineHelper","class","."]
code: def test_split_dict(self):
      t = torch.randn(32, 5)
      d = {"x": t, "y": t}
      for sd in PipelineHelper.split(d, 8):
          assert isinstance(sd, dict)
          assert "x" in sd
          assert "y" in sd
          assert sd["x"].shape == (8, 5)
          assert sd["y"].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 4 for calling the TestPipelineHelper obj's underlying member method code with example usage: obj.test_split_dict() without return types