code: def group_std_tpu(
      x,
      groups: int = 32,
      eps: float = 1e-5,
      diff_sqm: bool = False,
      flatten: bool = False,
  ):
      # This is a workaround for some stability / odd behaviour of .var and .std
      # running on PyTorch XLA w/ TPUs. These manual var impl are producing much better results
      B, C, H, W = x.shape
      _assert(C % groups == 0, "")
      if flatten:
          x = x.reshape(
              B, groups, -1
          )  # FIXME simpler shape causing TPU / XLA issues
          var = manual_var(x, dim=-1, diff_sqm=diff_sqm)
      else:
          x = x.reshape(B, groups, C // groups, H, W)
          var = manual_var(x, dim=(2, 3, 4), diff_sqm=diff_sqm)
      return var.add(eps).sqrt().expand(x.shape).reshape(B, C, H, W)
  
imports: from typing import Sequence, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from .create_act import create_act_layer
  from .trace_utils import _assert
label_desc: Use image node_id 6 for calling a global function with example usage: group_std_tpu(x, groups, eps, diff_sqm, flatten) and returns: var