code: def test_switch_gate(d_model, batch_size, n_expert, cap):
      _run_distributed(
          "_test_switch_gate",
          1,
          {
              "d_model": d_model,
              "batch_size": batch_size,
              "n_expert": n_expert,
              "cap": cap,
          },
          script=__file__,
      )
  
file_path: thu-pacman-faster-moe/tests/test_gates.py
imports: import pytest
  import os
  import sys
  import json
  import math
  import torch
  import torch.distributed
  import torch.nn.functional
  from fmoe.gates import GShardGate, SwitchGate, BaseLayerGate
  from test_ddp import _run_distributed
label_desc: Use image node_id 4 for calling a global function with example usage: test_switch_gate(d_model, batch_size, n_expert, cap) without return types