code: def forward(self, x):
      h = self.reduce(x)
      h = self.conv3x3(h)
      h = self.increase(h)
      if self.downsample:
          h += self.proj(x)
      else:
          h += x
      return F.relu(h)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .None import seg_resnet
  from .None import seg_resnext
label_desc: Use image node_id 2 for calling the _Bottleneck obj's underlying member method code with example usage: obj.forward(x) and returns: F