code: def forward(self, input_):
      return conv2d_same_myF(input_, self.weight, self.groups)
  
imports: import torch.nn
  import torch
  import torch.nn.functional
  from torch.nn.modules.conv import _ConvNd
  from torch.nn.modules.utils import _pair
  import numpy
  import math
  from ..mynn import Norm2d
  from .custom_functional import conv2d_same
label_desc: Use image node_id 1 for calling the Conv2dPad obj's underlying member method code with example usage: obj.forward(input_) and returns: conv2d_same_myF