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bad code show case #5

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wenlei03
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Try export onnx file

Try export onnx file

Signed-off-by: John <[email protected]>
@wenlei03
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PR Analysis

  • 🎯 Main theme: The main theme of this PR is to add a new class SubTreeExtractor and an ONNX export function call.
  • 📝 PR summary: This PR introduces a new class SubTreeExtractor and a function call to export this model to ONNX format. It also includes a function ddd with an incomplete print statement.
  • 📌 Type of PR: Enhancement
  • 🧪 Relevant tests added: No
  • ⏱️ Estimated effort to review [1-5]: 2, because the PR is small and the changes are straightforward, but there are some issues that need to be addressed.
  • 🔒 Security concerns: No

PR Feedback

  • 💡 General suggestions: It's recommended to provide meaningful function and class names. The function ddd does not convey its purpose. Also, ensure to complete all statements, the print statement in ddd is incomplete. Lastly, it's good practice to add relevant tests for the new functionality.

def forward(self, x, y):
return x + y

torch.onnx.export(SubTreeExtractor(), (torch.Tensor(1,2,3,4), 1), "1.onnx")
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The torch.onnx.export function call should be inside a function, not in the global scope. [important]

@@ -47,6 +47,20 @@ def _get_cutlass_path():
raise AssertionError(f"The CUTLASS root directory not found in: {invalid_paths}")


def ddd():
print
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The print statement in function ddd is incomplete. [important]

def forward(self, x, y):
return x + y

torch.onnx.export(SubTreeExtractor(), (torch.Tensor(1,2,3,4), 1), "1.onnx")
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The torch.onnx.export function call should have a tuple of tensors as the second argument. [important]

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