code: def test_conv2d():
      """Conv2d"""
  
      class Conv2dModel(flow.nn.Module):
          def __init__(self):
              super().__init__()
              self.conv = flow.nn.Conv2d(
                  3, 64, kernel_size=3, stride=1, padding=1
              )
  
          def forward(self, x):
              x = self.conv(x)
              return x
  
      if os.path.exists(MODEL_HOME):
          rmdir(MODEL_HOME)
  
      model = Conv2dModel()
      model.eval()
  
      for device in ["llvm"]:
          verify_conv(model, device=device)
  
imports: import os
  import numpy
  import oneflow
  from packaging import version
  import tvm
  import tvm.testing
  import tvm.topi.testing
  from tvm import relay
label_desc: Use image node_id 19 for calling a global function with example usage: test_conv2d() and returns: x