code: def testConvolutionBackward(self):
      test_device = get_test_device()
      inp = torch.rand(
          1, 3, 128, 128, device=test_device, requires_grad=True
      )
      inp_copy = clone_move(inp)
      grad = torch.rand(
          1, 32, 121, 121, device=test_device
      )  # no requires_grad
      grad_copy = clone_move(grad)
      weight = torch.rand(
          32, 3, 8, 8, device=test_device, requires_grad=True
      )
      weight_copy = clone_move(weight)
      bias = torch.rand(32, device=test_device, requires_grad=True)
      bias_copy = clone_move(bias)
  
      # run eager
      conv_out = torch.nn.functional.conv2d(inp, weight, bias)
      (inp_grad, weight_grad, bias_grad) = torch.autograd.grad(
          [conv_out], [inp, weight, bias], [grad]
      )
  
      # run lazy
      conv_copy_out = torch.nn.functional.conv2d(
          inp_copy, weight_copy, bias_copy
      )
      (
          inp_copy_grad,
          weight_copy_grad,
          bias_copy_grad,
      ) = torch.autograd.grad(
          [conv_copy_out],
          [inp_copy, weight_copy, bias_copy],
          [grad_copy],
      )
  
      # check numerics
      torch.testing.assert_close(bias_copy_grad.cpu(), bias_grad.cpu())
  
      torch.testing.assert_close(
          weight_copy_grad.cpu(), weight_grad.cpu()
      )
      torch.testing.assert_close(inp_copy_grad.cpu(), inp_grad.cpu())
  
imports: from typing import Sequence
  import torch
  import functools
  from torch.testing._internal.common_utils import run_tests, TestCase
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing._internal.common_methods_invocations import op_db
  from torch.testing._internal.common_device_type import ops, instantiate_device_type_tests
  import torch._lazy
  import torch._lazy.config
  import torch._lazy.metrics
  import torch._lazy.ir_cache
  import torch._lazy.ts_backend
  import itertools
  import yaml
  import os
  import pathlib
  from unittest import skip
label_desc: Use image node_id 1 for calling the TestLazyTensor obj's underlying member method code with example usage: obj.testConvolutionBackward() without return types