code: def test_block_orthogonal_can_initialize(self):
      tensor = torch.zeros([10, 6])
      block_orthogonal(tensor, [5, 3])
      tensor = tensor.data.numpy()
  
      def test_block_is_orthogonal(block):
          matrix_product = block.T @ block
          numpy.testing.assert_array_almost_equal(
              matrix_product, numpy.eye(matrix_product.shape[-1]), 6
          )
  
      test_block_is_orthogonal(tensor[:5, :3])
      test_block_is_orthogonal(tensor[:5, 3:])
      test_block_is_orthogonal(tensor[5:, 3:])
      test_block_is_orthogonal(tensor[5:, :3])
  
imports: from __future__ import division
  from __future__ import with_statement
  from __future__ import absolute_import
  import json
  import logging
  import math
  import numpy
  import pytest
  import torch
  import _jsonnet
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.nn.initializers import block_orthogonal, uniform_unit_scaling
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.params import Params
label_desc: Use image node_id 5 for calling the TestInitializers obj's underlying member method code with example usage: obj.test_block_orthogonal_can_initialize() without return types