Comments (2)
wenbingl
commented on August 17, 2024
onnx_op defines a function kernel to run the onnx node on inference. Without this onnx_op function body, the ORT inference session cannot find this Python function for running the custom op node. Alternatively, you can create a C++ function for running the node and register it in ORT-extensions DLL/shared library, It also works but you need to build ort-extensions by yourself.
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JTunis
commented on August 17, 2024
Makes sense to me, thanks
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Related Issues (20)
- Update of onnuxruntime-extensions in the PyPi repository HOT 2
- Onnxruntime JAR for darwin aarch64 HOT 2
- poor c# documentation, need help on implementing some py examples HOT 1
- Performance issue on basic string operations HOT 3
- DecodeImage: Failed to decode image when using direct ByteBuffer (Android) HOT 2
- Is it possible to create a custom Step for PrePostProcessor pipeline? HOT 3
- Using Whisper for Chinese ASR in iOS may occasionally output illegal UTF-8 strings.
- How to add preprocessing steps for quantized yolov8n (float 16 or int8) in onnx format? HOT 2
- git tag typo?
- ONNX Runtime Extensions fails to load on Linux due to missing libssl.so.1.1 HOT 1
- com.microsoft.onnxruntime:onnxruntime-extensions:0.11.0: missing RegisterCustomOps in onnxruntime_extensions4j_jni.dll HOT 3
- String operations leaking in 0.11.0
- Missing --cpp-gen for cmd.py HOT 2
- [Feature Request] Add dupport to DLPack in the same fashion as ONNX Runtime has support HOT 1
- the result is not right when add yolo8 pre-post process
- how to register custom operator with attributes of a list? HOT 1
- How to register a custom python operation with variadic input/output and homogeneity?
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