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* Update PyOp.md
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Faith Xu 2019-07-07 21:56:18 -07:00 committed by jywu-msft
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docs/PyOp.md
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The Python Operator provides the capability to easily invoke any custom Python code within a single node of an ONNX graph using ONNX Runtime. This can be useful for quicker experimentation when a model requires operators that are not officially supported in ONNX and ONNX Runtime, particularly if there is already a Python implementation for the required functionality. This should be used with discretion in production scenarios, and all security or other risks should be considered.
## Design Overview
The feature can be found under [onnxruntime/core/language_interop_ops](onnxruntime/core/language_interop_ops).
The feature can be found under [onnxruntime/core/language_interop_ops](../onnxruntime/core/language_interop_ops).
All Python C API dependent code are compiled into a dynamic linked library named pywrapper.
Before calling into Python script, pywrapper will convert onnxruntime tensor(s) to numpy(s), which is converted back when completed.
<p>Here is a chart illustrating the calling sequence: