code: def forward(self, x, y, z) -> torch.Tensor:
      if x > 1:
          out = self.layer(y, z)[0]
      else:
          out = torch.ones([1280, 2464, 1])
      return out
  
file_path: tvm/apps/pt_tvmdsoop/tests/test_torch_script.py
imports: import os
  import torch
  import time
  import numpy
  import tvm
  import tvm.testing
  import tempfile
  from tvm.contrib.torch import PyTorchTVMModule, compile
label_desc: Use image node_id 2 for calling the EnsembleModel obj's underlying member method code with example usage: obj.forward(x, y, z) and returns: out