code: def test_param_padding(self):
      blockwise_sparsifier = self._get_blockwise_sparsifier(2, 0.6)
      param = torch.tensor([i for i in range(25)], dtype=float).view(
          5, 5
      )
      true_padded_param = param.new_zeros(param.size(0), 6)
      true_padded_param[:, : param.size(1)] = param
      padded_param = blockwise_sparsifier._padding_into_full_blocks(
          param
      )
      self.assertTrue(
          torch.allclose(
              torch.sum(true_padded_param - padded_param),
              torch.tensor([0.0], dtype=float),
          )
      )
  
file_path: pytext/pytext/optimizer/sparsifiers/tests/sparsifier_test.py
imports: import math
  import unittest
  import torch
  from pytext.optimizer.sparsifiers.blockwise_sparsifier import BlockwiseMagnitudeSparsifier
label_desc: Use image node_id 2 for calling the TestSparsifier obj's underlying member method code with example usage: obj.test_param_padding() without return types