conversion-issues

# Agent Skill: Investigate and Fix Frontend Conversion Issues ## Goal Diagnose and fix issues where models fail to convert to OpenVINO IR or produce incorrect inference results through an OpenVINO frontend. ## Framework-Specific Workflows Each frontend has its own detailed investigation workflow. Read the one matching the target framework: | Frontend | Skill file | What it covers | |---|---|---| | **ONNX** | [onnx.md](onnx.md) | Triage (unsupported op / conversion bug / shape-type / opset gap), ORT baseline comparison, translator debugging, `.prototxt` test models, C++ GTest, pre-submission checklist | | **PyTorch** | [pytorch.md](pytorch.md) | Triage (unsupported op / tracing mode / inplace / normalize-step), TorchScript vs torch.export identification, layer test debugging, pre-submission checklist | ## Related Skills (adding new ops) | Frontend | Skill file | When to use | |---|---|---| | ONNX | [add-fe-op/onnx.md](../add-fe-op/onnx.md) | Implementing a new ONNX op translator from scratch | | PyTorch | [add-fe-op/pytorch.md](../add-fe-op/pytorch.md) | Implementing a new PyTorch op translator from scratch | ## Notes - Always verify the model works with the framework's reference runtime (ONNX Runtime / PyTorch) before investigating OpenVINO code. - Prefer minimal, root-cause fixes over broad refactors. - Every fix needs a test and must pass the full frontend test suite.