code: def test_conv_dim_folding(self):
      modules = [nn.Conv1d, nn.Conv2d, nn.Conv3d]
      for mod in modules:
  
          class ConvDim(torch.nn.Module):
              def __init__(self):
                  super().__init__()
                  self.conv = mod(
                      3, 32, kernel_size=3, stride=2, bias=False
                  )
  
              def forward(self, x):
                  x = self.conv(x)
                  return x.dim()
  
          conv_dim = torch.jit.script(ConvDim())
          self.run_pass("inline", conv_dim.graph)
          self.run_pass("peephole", conv_dim.graph)
          FileCheck().check_not("conv").check_not("dim").run(
              conv_dim.graph
          )
  
          class ConvDimMutate(torch.nn.Module):
              def __init__(self):
                  super().__init__()
                  self.conv = mod(
                      3, 32, kernel_size=3, stride=2, bias=False
                  )
  
              def forward(self, x):
                  x = self.conv(x)
                  x.resize_([4, 4])
                  return x.dim()
  
          conv_dim = torch.jit.script(ConvDimMutate())
          self.run_pass("inline", conv_dim.graph)
          self.run_pass("peephole", conv_dim.graph)
          FileCheck().check("conv").check("dim").run(conv_dim.graph)
  
imports: import torch
  from torch.testing._internal.jit_utils import JitTestCase, RUN_CUDA, _inline_everything
  from torch import nn
  from torch.testing import FileCheck
  from typing import Callable, List
  import unittest
label_desc: Use image node_id 10 for calling the TestPeephole obj's underlying member method code with example usage: obj.test_conv_dim_folding() and returns: x, x