code: def switch_transformer(c: Configs):
      """
      ### Initialize the switch transformer
      """
      from labml_nn.transformers.switch import (
          SwitchTransformer,
          SwitchTransformerLayer,
          SwitchFeedForward,
      )
      from labml_nn.transformers import MultiHeadAttention
      from labml_nn.transformers.feed_forward import FeedForward
  
      return SwitchTransformer(
          SwitchTransformerLayer(
              d_model=c.d_model,
              attn=MultiHeadAttention(c.heads, c.d_model, c.dropout),
              feed_forward=SwitchFeedForward(
                  capacity_factor=c.capacity_factor,
                  drop_tokens=c.drop_tokens,
                  is_scale_prob=c.is_scale_prob,
                  n_experts=c.n_experts,
                  expert=FeedForward(c.d_model, c.d_ff, c.dropout),
                  d_model=c.d_model,
              ),
              dropout_prob=c.dropout,
          ),
          c.n_layers,
      )
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/transformers/switch/experiment.py
imports: import torch
  import torch.nn
  from labml import experiment, tracker
  from labml.configs import option
  from labml_helpers.module import Module
  from labml_helpers.train_valid import BatchIndex
  from labml_nn.experiments.nlp_autoregression import NLPAutoRegressionConfigs
label_desc: Use image node_id 2 for calling a global function with example usage: switch_transformer(c) and returns: SwitchTransformer