code: def test_expand():
      class Expand(flow.nn.Module):
          def forward(self, x):
              return x.expand(2, -1, -1)
  
      model1 = Expand().eval()
  
      for device in ["llvm"]:
          verify_math(
              model1,
              device=device,
              inputs=flow.tensor(
                  np.random.randn(1, 6, 9).astype(np.float32)
              ),
          )
  
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 30 for calling a global function with example usage: test_expand() and returns: x