code: def forward(self, x):
      h, w = x.shape[-2:]
  
      extra_h = (
          (math.ceil(w / self.stride[1]) - 1) * self.stride[1]
          - w
          + self.kernel_size[1]
      )
      extra_v = (
          (math.ceil(h / self.stride[0]) - 1) * self.stride[0]
          - h
          + self.kernel_size[0]
      )
  
      left = extra_h // 2
      right = extra_h - left
      top = extra_v // 2
      bottom = extra_v - top
  
      x = F.pad(x, [left, right, top, bottom])
      x = self.pool(x)
  
      return x
  
imports: import math
  from typing import Tuple, Union
  import torch
  import torch.nn
  from mmcv.cnn.bricks import Swish, build_norm_layer
  from torch.nn import functional
  from torch.nn.init import _calculate_fan_in_and_fan_out, trunc_normal_
  from mmdet.registry import MODELS
  from mmdet.utils import OptConfigType
label_desc: Use image node_id 2 for calling the MaxPool2dSamePadding obj's underlying member method code with example usage: obj.forward(x) and returns: x