code: def test_conv():
      # test F.conv_1d
      data_1d = torch.rand(3, 16, 10)
      weight_1d = torch.rand(3, 16, 3)
      out_1d = F.conv1d(data_1d, weight_1d)
      patched_out_1d = patched_function.torch_nn_functional_conv1d(
          data_1d, weight_1d
      )
      assert out_1d.shape == patched_out_1d.shape
  
      # test F.conv_transpose1d
      weight_1d = torch.transpose(weight_1d, 0, 1)
      out_transpose_1d = F.conv_transpose1d(data_1d, weight_1d)
      patched_out_transpose_1d = (
          patched_function.torch_nn_functional_convtranspose1d(
              data_1d, weight_1d
          )
      )
      assert out_transpose_1d.shape == patched_out_transpose_1d.shape
  
      # test F.conv2d
      data_2d = torch.rand(3, 16, 10, 10)
      weight_2d = torch.rand(3, 16, 3, 3)
      out_2d = F.conv2d(data_2d, weight_2d)
      patched_out_2d = patched_function.torch_nn_functional_conv2d(
          data_2d, weight_2d
      )
      assert out_2d.shape == patched_out_2d.shape
  
      # test F.conv_transpose2d
      weight_2d = torch.transpose(weight_2d, 0, 1)
      out_transpose_2d = F.conv_transpose2d(data_2d, weight_2d)
      patched_out_transpose_2d = (
          patched_function.torch_nn_functional_convtranspose2d(
              data_2d, weight_2d
          )
      )
      assert out_transpose_2d.shape == patched_out_transpose_2d.shape
  
      # test F.conv3d
      data_3d = torch.rand(3, 16, 10, 10, 10)
      weight_3d = torch.rand(3, 16, 3, 3, 3)
      out_3d = F.conv3d(data_3d, weight_3d)
      patched_out_3d = patched_function.torch_nn_functional_conv3d(
          data_3d, weight_3d
      )
      assert out_3d.shape == patched_out_3d.shape
  
      # test F.conv_transpose3d
      weight_3d = torch.transpose(weight_3d, 0, 1)
      out_transpose_3d = F.conv_transpose3d(data_3d, weight_3d)
      patched_out_transpose_3d = (
          patched_function.torch_nn_functional_convtranspose3d(
              data_3d, weight_3d
          )
      )
      assert out_transpose_3d.shape == patched_out_transpose_3d.shape
  
imports: import torch
  from torch.nn import functional
  from colossalai.fx.tracer.meta_patch import patched_function
  from colossalai.testing import clear_cache_before_run
label_desc: Use image node_id 1 for calling a global function with example usage: test_conv() without return types