code: def compute_scale_bias_one(
      nhwc, weight, bias, running_mean, running_var, w_scale, w_bias
  ):
      scale = weight * running_var.rsqrt()
      bias = bias - running_mean * scale
      w_scale.copy_(scale)
      w_bias.copy_(bias)
  
imports: import functools
  import torch
  import torch.distributed
  from torch import nn
  from apex import check_cudnn_version_and_warn
  import fast_bottleneck
  import nccl_p2p_cuda
label_desc: Use image node_id 2 for calling a global function with example usage: compute_scale_bias_one(nhwc, weight, bias, running_mean, running_var, w_scale, w_bias) without return types