code: def unshape(x: Tensor) -> Tensor:
      """
      Compute context.
      [batchsize x heads x length x dimperhead]
      -> [batchsize x length x modeldim]
      """
      x_0, x_1, _, x_3 = x.size()
      return x.transpose(1, 2).contiguous().view(x_0, -1, x_1 * x_3)
  
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 9 for calling a global function with example usage: unshape(x) and returns: x