Hello everyone,
I am encountering issues while using the X-Cube-AI tool to analyze two models that I recently resized and reduced. Despite thorough testing and troubleshooting, I cannot resolve the errors, and I hope someone here might provide insight.
Issue Details:
Model Behavior in Python:
- Both models run perfectly in Python.
- They work well when tested as .onnx models using other tools.
Troubleshooting Steps Taken:
- Analyzed the .onnx models manually using Netron.app — no issues were identified.
- Attempted analysis using both my local IDE and the ST Developer Cloud Tool — both returned the same errors.
- Enabled maximum verbosity (level 3) during analysis, but the error messages provided no actionable information.
Error Messages:
anchornet.onnx:
INTERNAL ERROR: 'NoneType' object is not subscriptable
pointnet.onnx:
INTERNAL ERROR: Mismatch in input shape of gemm: (BATCH: 1, CH: 512, H: 3) x (BATCH: 1, CH: 3, H: 3)
While the second error provides slightly more detail, it remains unclear where or how this mismatch occurs in the model.
Additional Notes:
- I have access to the original Python code and Torch models from which the .onnx files were exported. I can modify the models if necessary to resolve compatibility issues.
I feel like I’ve tried everything I can think of. Is there a chance someone could help me identify what’s going wrong or suggest next steps to debug this further?
Thanks in advance for any help or guidance!
