code: def test_logical():
      class LogicalGreater(flow.nn.Module):
          def forward(self, x):
              return x > 1.0
  
      model1 = LogicalGreater().eval()
  
      for device in ["llvm"]:
          verify_math(
              model1,
              device=device,
              inputs=flow.tensor(
                  np.random.randn(3, 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 29 for calling a global function with example usage: test_logical() and returns: unknown