code: def test_balance_bert():
      # Parameters per layer for a transformer model with 24 transformers and hidden dim 1024
      weights = [
          52559872,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          12596224,
          0,
          52559872,
      ]
      P = 8
      parts = partition_balanced(weights, P)
      assert_valid_partition(weights, parts, P)
  
imports: import pytest
  import torch
  import deepspeed.comm
  from deepspeed.runtime.utils import partition_uniform
  from deepspeed.runtime.utils import partition_balanced
  from deepspeed.runtime.utils import prefix_sum_inc
  from deepspeed.runtime.utils import PartitionedTensor
  from deepspeed.accelerator import get_accelerator
  from unit.common import DistributedTest
label_desc: Use image node_id 13 for calling a global function with example usage: test_balance_bert() without return types