Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Cannot create Swish layer Mul_43 id:38
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- Dominant language
- Python
- Stars
- 10.6k
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- 2.5k
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Description
I try to use openvino examples to delpoy YoloX. When I run the program in Visual Studio 2019, it prompt "Cannot create Swish layer Mul_43 id:38, openvino\inference-engine\src\readers\ir_reader\ie_ir_parser.cpp", How can I fix that?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the OpenVINO example in Visual Studio 2019 and inspect the failure path named in openvino/inference-engine/src/readers/ir_reader/ie_ir_parser.cpp. The issue does not identify a model version, conversion step, or expected fix, so done would require isolating the Swish-layer creation failure and documenting a verified resolution.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100