code: def test_conv2d(self):
      def f(x, y):
          return torch.nn.functional.conv2d(x, y, padding=1)
  
      inp = (T(8, 4, 3, 3), T(1, 4, 5, 5))
      self.assertNotZero(calculate_runtime(f, *inp))
  
imports: import torch
  from torch._inductor import metrics
  from torch._inductor.compile_fx import compile_fx, count_bytes_inner
  from torch.testing._internal.common_utils import TestCase
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 2 for calling the ComputeBoundedTests obj's underlying member method code with example usage: obj.test_conv2d() and returns: torch