code: def test_dynamic_shape(self):
      dN = te.VarHandle(torch.int32)
      A = te.BufHandle([dN], torch.float64)
      B = te.BufHandle([dN], torch.float64)
  
      def compute(i):
          return A.load(i) - B.load(i)
  
      C = te.Compute("C", [dN], compute)
  
      loopnest = te.LoopNest([C])
      loopnest.prepare_for_codegen()
  
      cg = te.construct_codegen(
          "ir_eval", loopnest.simplify(), [A, B, C, dN]
      )
  
      def test_with_shape(n):
          tA = torch.randn(n, dtype=torch.double)
          tB = torch.randn(n, dtype=torch.double)
          tC = torch.empty(n, dtype=torch.double)
          cg.call([tA, tB, tC, n])
          torch.testing.assert_close(tA - tB, tC)
  
      test_with_shape(8)
      test_with_shape(31)
  
imports: import torch
  import numpy
  import torch._C._te
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.jit_utils import JitTestCase
  import unittest
label_desc: Use image node_id 4 for calling the TestTensorExprPyBind obj's underlying member method code with example usage: obj.test_dynamic_shape() and returns: unknown