code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      for op in self.op_list:
          x = op(x)
      return x
  
imports: from __future__ import annotations
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.cuda.amp import autocast
  from kornia.contrib.models.efficient_vit.nn.act import build_act
  from kornia.contrib.models.efficient_vit.nn.norm import build_norm
  from kornia.contrib.models.efficient_vit.utils import get_same_padding, val2tuple
label_desc: Use image node_id 2 for calling the OpSequential obj's underlying member method code with example usage: obj.forward(x) and returns: x