code: def compute_bias(
      query_length,
      key_length,
      is_decoder,
      max_relative_positions,
      relative_positions_buckets,
      device=None,
  ):
      """Compute binned relative position bias"""
      context_position = torch.arange(
          query_length, dtype=torch.long, device=device
      )[:, None]
      memory_position = torch.arange(
          key_length, dtype=torch.long, device=device
      )[None, :]
      relative_position = (
          memory_position - context_position
      )  # shape (query_length, key_length)
      relative_position_bucket = _relative_position_bucket(
          relative_position,  # shape (query_length, key_length)
          bidirectional=(not is_decoder),
          num_buckets=relative_positions_buckets,
          max_distance=max_relative_positions,
      )
      return relative_position_bucket
  
imports: import torch
  import torch.nn
  from math import log, sqrt
  from torch import Tensor
  from typing import Optional, Tuple
  from torch.nn.functional import scaled_dot_product_attention
  from torch.utils.checkpoint import checkpoint
  from torch.nn.utils import skip_init
  from .alibi_position_bias import AlibiPositionalBias
  from torch.distributed import all_reduce
  from importlib import import_module
label_desc: Use image node_id 7 for calling a global function with example usage: compute_bias(query_length, key_length, is_decoder, max_relative_positions, relative_positions_buckets, device) and returns: relative_position_bucket