code: def test_dynamic_to_static_pad():
      def verify_pad(data_shape, pad_width_val, pad_val, dtype):
          x = relay.var("x", relay.TensorType(data_shape, dtype))
          pad_width = relay.var(
              "pad_width",
              relay.TensorType(
                  (len(pad_width_val), len(pad_width_val[0])), "int32"
              ),
          )
          z = relay.nn.pad(x, pad_width, pad_val)
          func = run_infer_type(relay.Function([x, pad_width], z))
          params = {"pad_width": np.array(pad_width_val)}
          func2 = run_opt_pass(
              run_opt_pass(func, transform.DynamicToStatic(), params),
              transform.InferType(),
          )
          zz = func2.body
          assert isinstance(zz, relay.Call)
          assert zz.op == relay.op.get("nn.pad")
  
          x_data = np.random.uniform(size=data_shape).astype(dtype)
          ref_res = np.pad(
              x_data,
              pad_width_val,
              "constant",
              constant_values=(((pad_val,) * 2),) * len(data_shape),
          )
          verify_func(func2, [x_data], ref_res)
  
      verify_pad(
          (4, 10, 7, 7), ((1, 1), (2, 2), (3, 3), (4, 4)), 2.0, "int32"
      )
      verify_pad((2, 7), ((1, 4), (2, 2)), 4.0, "float64")
  
imports: import numpy
  import pytest
  import tvm
  from tvm import te
  from tvm import relay
  from tvm.relay import transform
  from tvm.relay.build_module import bind_params_by_name
  from tvm.relay.testing import run_infer_type, create_workload
  import tvm.topi.testing
  import tvm.testing
label_desc: Use image node_id 16 for calling a global function with example usage: test_dynamic_to_static_pad() without return types