parameters: (in_planes, out_planes, stride=1)
return_statement: return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
                       padding=1, bias=False)
docstring: 3x3 convolution with padding
docstring_summary: 3x3 convolution with padding
docstring_tokens: 3x3 convolution with padding
function: def conv3x3(in_planes, out_planes, stride=1):
      "3x3 convolution with padding"
      return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
                       padding=1, bias=False)
function_tokens: def conv3x3 ( in_planes , out_planes , stride = 1 ) : return nn . Conv2d ( in_planes , out_planes , kernel_size = 3 , stride = stride , padding = 1 , bias = False )