code: def forward(self, queries, keys, values, attn_mask):
      B, L, _ = queries.shape
      _, S, _ = keys.shape
      H = self.n_head
  
      queries = self.query_projection(queries).view(B, L, H, -1)
      keys = self.key_projection(keys).view(B, S, H, -1)
      values = self.value_projection(values).view(B, S, H, -1)
  
      out, attn = self.inner_correlation(
          queries, keys, values, attn_mask
      )
      out = out.view(B, L, -1)
  
      return self.out_projection(out), attn
  
imports: import math
  import numpy
  from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from ..common._modules import DataEmbedding
  from ..common._base_windows import BaseWindows
  from ..losses.pytorch import MAE
label_desc: Use image node_id 2 for calling the AutoCorrelationLayer obj's underlying member method code with example usage: obj.forward(queries, keys, values, attn_mask) and returns: self,  attn