code: def test_pad():
      """Pad unit test."""
  
      def verify_pad():
          dshape = (4, 10, 7, 7)
          x = relay.var("x", shape=dshape, dtype="int32")
          y = relay.nn.pad(x, ((1, 1), (2, 2), (3, 3), (4, 4)))
          func = relay.Function([x], y)
          func = run_infer_type(func)
          x_data = np.random.randint(
              low=-255, high=255, size=dshape
          ).astype(np.int32)
          verify_results(
              func, [x_data], "test_pad", rtol=1e-5, atol=1e-5
          )
  
      verify_pad()
  
imports: import pytest
  import numpy
  import onnxruntime
  import tvm
  from tvm import relay
  from tvm.contrib.target.onnx import to_onnx
  from tvm.relay.testing import run_infer_type
label_desc: Use image node_id 15 for calling a global function with example usage: test_pad() without return types