ConvolutedDog commented on issue #18136:
URL: https://github.com/apache/tvm/issues/18136#issuecomment-3067172263

   With the changes in PR https://github.com/apache/tvm/pull/18143, the 
following script works as expected.
   
   <details>
   <summary>Click here for code</summary>
   
   ```py
   import sys
   
   import numpy as np
   import onnx
   import onnxruntime
   
   import tvm
   from tvm import relax
   from tvm.relax.frontend.onnx import from_onnx
   
   import pickle
   
   
   def main():
       onnx_model = onnx.load("111.onnx")
   
       with open(
           "inputs.pkl",
           "rb",
       ) as fp:
           inputs = pickle.load(fp)
   
       try:
           ort_session = onnxruntime.InferenceSession(
               onnx_model.SerializeToString(), 
providers=["CPUExecutionProvider"]
           )
           ort_output = ort_session.run([], inputs)
       except Exception as e:
           print(e)
           sys.exit(1)
   
       print("inputs:\n", inputs)
   
       # Convert the onnx model into relax through the onnx importer.
       tvm_model = from_onnx(onnx_model, keep_params_in_input=True)
       tvm_model.show()
   
       tvm_model, params = relax.frontend.detach_params(tvm_model)
   
       input_list = [
           tvm.nd.array(inputs[key.name_hint])
           for key in tvm_model["main"].params
           if key.name_hint in inputs
       ]
       if params:
           input_list += params["main"]
   
       ex = relax.build(tvm_model, target="llvm")
       vm = relax.VirtualMachine(ex, tvm.cpu())
   
       nd_res = vm["main"](*input_list)
   
       print("ONNX output:\n", ort_output)
       print("TVM output:\n", nd_res)
   
   
   if __name__ == "__main__":
       main()
   ```
   </details>


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