code: def test_block_orthogonal_raises_on_mismatching_dimensions(self):
      tensor = torch.zeros([10, 6, 8])
      with pytest.raises(ConfigurationError):
          block_orthogonal(tensor, [7, 2, 1])
  
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 6 for calling the TestInitializers obj's underlying member method code with example usage: obj.test_block_orthogonal_raises_on_mismatching_dimensions() without return types