code: def forward(self, qk_dots):
      h, i, j, device = *qk_dots.shape[-3:], qk_dots.device
  
      if (self.bias is not None) and self.bias.shape[-1] >= j:
          return qk_dots + self.bias[..., :i, :j]
  
      bias = self.get_bias(i, j, device)
      bias = bias * self.slopes
  
      num_heads_unalibied = h - bias.shape[0]
      bias = pad_at_dim(bias, (0, num_heads_unalibied), dim=0)
      self.register_buffer("bias", bias, persistent=False)
  
      return qk_dots + self.bias
  
file_path: OpenNMT-py/onmt/modules/alibi_position_bias.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 4 for calling the AlibiPositionalBias obj's underlying member method code with example usage: obj.forward(qk_dots) and returns: unknown, unknown