[GitHub] [tvm] lucagrementieri edited a comment on issue #9237: [Bug] [PYTORCH] [FRONTEND] Torch and tvm output different

[GitBox <gi...@apache.org>]

lucagrementieri edited a comment on issue #9237:
URL: https://github.com/apache/tvm/issues/9237#issuecomment-943090057


   I am facing a similar problem running the script `from_torch.py` published with the tutorial https://tvm.apache.org/docs/how_to/compile_models/from_pytorch.html.
   
   When I run the script, I get a `TracerWarning` while tracing the pretrained ResNet18 model and the final output of the Relay is very different from the PyTorch output.
   
   The `TracerWarning` happens when `tvm` is imported before `torch` even if it not used. If `tvm` is imported after `torch`, then everything works fine.
   
   The following script works, but if `import tvm` is uncommented, the `TracerWarning` appears.
   ```
   # import tvm
   import torch
   import torchvision
   
   model = torchvision.models.resnet18(pretrained=True).eval()
   input_shape = [1, 3, 224, 224]
   input_data = torch.randn(input_shape)
   scripted_model = torch.jit.trace(model, input_data).eval() 
   ```
   
   I'm using the latest version of tvm and I have tested PyTorch 1.7.1, 1.8.2 and 1.9.1.


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