class_docstr: Test the orthogonaliy regularizer.
code: def _generate_update_input(
      self, requires_grad: bool = False
  ) -> Sequence[torch.FloatTensor]:  # noqa: D102
      # same size tensors
      return (
          rand(
              self.batch_size,
              12,
              generator=self.generator,
              device=self.device,
          ).requires_grad_(requires_grad),
          rand(
              self.batch_size,
              12,
              generator=self.generator,
              device=self.device,
          ).requires_grad_(requires_grad),
      )
  
imports: import unittest
  from typing import Sequence
  import pytest
  import torch
  import unittest_templates
  from torch.nn import functional
  import pykeen.regularizers
  from pykeen.utils import get_expected_norm
  from tests import cases
  from tests.utils import rand
label_desc: Use image node_id 1 for calling the OrthogonalityRegularizerTest obj's underlying member method code with example usage: obj._generate_update_input(requires_grad) and returns: rand,  rand