code: def forward(self, x):
      h = self.ff1(x)
      h = self.act(h)
      if self.use_glu:
          h = h * self.linear(x)
      h = self.drop(h)
      y = self.ff2(h)
      if self.clamp_to_dtype:
          y = sockeye.layers.clamp_to_dtype_min_max(y)
      return y
  
imports: from dataclasses import dataclass
  from typing import Optional, Tuple
  import torch
  import sockeye.layers
  from sockeye import constants
  from .None import config
label_desc: Use image node_id 2 for calling the TransformerFeedForward obj's underlying member method code with example usage: obj.forward(x) and returns: y