class_docstr: Tensorflow like 'SAME' convolution wrapper for 2D convolutions
      
code: def forward(self, x):
      return conv2d_same(
          x,
          self.weight,
          self.bias,
          self.stride,
          self.padding,
          self.dilation,
          self.groups,
      )
  
imports: import collections.abc
  import math
  from functools import partial
  from itertools import repeat
  from typing import Tuple, Optional
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from .config import *
label_desc: Use image node_id 2 for calling the Conv2dSame obj's underlying member method code with example usage: obj.forward(x) and returns: conv2d_same