code: def forward(self, x):
      _assert(x.dim() == 4, "expected 4D input")
      x_dtype = x.dtype
      v_shape = (1, -1, 1, 1)
      x = self.act(x) / group_rms(x, self.groups, self.eps)
      return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(
          v_shape
      ).to(x_dtype)
  
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 2 for calling the EvoNorm2dS2a obj's underlying member method code with example usage: obj.forward(x) and returns: unknown