code: def test_conv2d_same(self):
      in_channels = 32
      out_channels = 64
      kernel_size = 3
      stride = 1
      padding = 0
      module = Conv2dSame(
          in_channels, out_channels, kernel_size, stride, padding
      )
      x = torch.FloatTensor(1, 32, 224, 224)
      output = module(x)
      gt_output_shape = torch.Size((1, 64, 224, 224))
      self.assertTrue(output.shape == gt_output_shape)
  
imports: import unittest
  import torch
  from towhee.models.layers.conv2d_same import Conv2dSame
label_desc: Use image node_id 1 for calling the Conv2dSameTest obj's underlying member method code with example usage: obj.test_conv2d_same() without return types