bad code show case

[wenlei03]

Try export onnx file

[wenlei03]

PR Analysis

• 🎯 Main theme: The main theme of this PR is to add a new functionality to export a PyTorch model to ONNX format.
• 📝 PR summary: This PR introduces a new class SubTreeExtractor and a function ddd(). The SubTreeExtractor class is a simple PyTorch model that adds two inputs. The function ddd() currently only contains a print statement. The PR also includes an example of exporting the SubTreeExtractor model to ONNX format.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: No
• ⏱️ Estimated effort to review [1-5]: 2, because the PR is relatively small and straightforward. However, it lacks proper implementation and testing.
• 🔒 Security concerns: No

PR Feedback

• 💡 General suggestions: The code added in this PR lacks proper implementation and testing. The function ddd() only contains a print statement and doesn't seem to serve any purpose. The SubTreeExtractor class is not properly integrated into the existing codebase. It would be better to provide a more complete implementation and add relevant tests.

[wenlei03]

The torch.onnx.export() function is used incorrectly. The second argument should be a tuple of tensors, but currently it includes an integer. [important]