code: def test_expert_variance(experts: int) -> None:
      _cutlass_moe_testing_helper(
          tokens=876,
          in_channels=4096,
          intermediate_dim=2048,
          experts=experts,
          dtype=DtypeEnum.fp16,
          activation_type=ActivationType.IDENTITY,
          use_bias=True,
      )
  
file_path: DeepSpeed/tests/unit/inference/v2/modules/test_cutlass_moe.py
imports: from typing import Tuple
  import pytest
  import torch
  from deepspeed.accelerator import get_accelerator
  from deepspeed.inference.v2.inference_utils import ActivationType, DtypeEnum
  from deepspeed.inference.v2.modules import ConfigBundle
  from deepspeed.inference.v2.modules.configs import DSMoEConfig
  from deepspeed.inference.v2.modules.interfaces import DSMoERegistry
  from ..kernels.ragged_ops.ragged_testing_utils import build_simple_batch
  from ...v2.inference_test_utils import allclose, get_dtypes
label_desc: Use image node_id 4 for calling a global function with example usage: test_expert_variance(experts) without return types