code: def forward(self, x):
      _assert(x.dim() == 4, "expected 4D input")
      x_dtype = x.dtype
      v_shape = (1, -1, 1, 1)
      x = x * inv_instance_rms(x, self.eps)
      x = x * self.weight.view(v_shape).to(
          dtype=x_dtype
      ) + self.bias.view(v_shape).to(dtype=x_dtype)
      return (
          torch.maximum(x, self.tau.reshape(v_shape).to(dtype=x_dtype))
          if self.tau is not None
          else x
      )
  
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 3 for calling the FilterResponseNormTlu2d obj's underlying member method code with example usage: obj.forward(x) and returns: unknown