code: def gen_faster_gate(rank):
      def _gen(d_model, n_expert, world_size, top_k=2):
          assert top_k == 2
          return FasterGate(
              d_model, n_expert, world_size, rank // nw_per_node
          )
  
      return _gen
  
file_path: fastmoe/fmoe/gates/faster_gate.py
imports: from .naive_gate import NaiveGate
  import os
  import sys
  import torch
  import torch.nn.functional
  from .utils import limit_by_capacity
  import fmoe_cuda
  from fmoe.functions import count_by_gate
label_desc: Use image node_id 1 for calling a global function with example usage: gen_faster_gate(rank) and returns: _gen, FasterGate