class_docstr: Tests for :mod:`pykeen.utils`.
class_docstr_tok: ["Tests","for",":","mod",":","`","pykeen.utils","`","."]
docstr: Test tensor_sum.
docstr_tok: ["Test","tensor_sum","."]
code: def test_tensor_sum(self):
      """Test tensor_sum."""
      _, generator, _ = set_random_seed(seed=42)
      for shapes in _generate_shapes(generator=generator):
          tensors = [torch.rand(*shape) for shape in shapes]
          result = tensor_sum(*tensors)
  
          # compare result to sequential addition
          assert torch.allclose(result, sum(tensors))
  
imports: import functools
  import itertools
  import operator
  import random
  import string
  import timeit
  import unittest
  from typing import Iterable, Tuple
  import numpy
  import pytest
  import torch
  from pykeen.utils import _weisfeiler_lehman_iteration, _weisfeiler_lehman_iteration_approx, calculate_broadcasted_elementwise_result_shape, clamp_norm, combine_complex, compact_mapping, compose, estimate_cost_of_sequence, flatten_dictionary, get_optimal_sequence, get_until_first_blank, iter_weisfeiler_lehman, logcumsumexp, project_entity, set_random_seed, split_complex, tensor_product, tensor_sum
label_desc: Use image node_id 9 for calling the TestUtils obj's underlying member method code with example usage: obj.test_tensor_sum() without return types