code: def inv_instance_rms(x, eps: float = 1e-5):
      rms = (
          x.square()
          .float()
          .mean(dim=(2, 3), keepdim=True)
          .add(eps)
          .rsqrt()
          .to(x.dtype)
      )
      return rms.expand(x.shape)
  
file_path: pytorch-image-models/timm/layers/filter_response_norm.py
imports: import torch
  import torch.nn
  from .create_act import create_act_layer
  from .trace_utils import _assert
label_desc: Use image node_id 1 for calling a global function with example usage: inv_instance_rms(x, eps) and returns: rms