Comments (2)
What is your intended use-case? Is this to debug/understand what's happening (where performance does not matter), or is it for production use? For debugging/understanding, IIRC @xadupre has written utilities that will execute models node by node. He might be able to point you to it and answer your question about reference evaluator also.
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Hi @gramalingam, yes my use case is to use the models with a feature extraction as research to understand its behaviour. Any information would help.
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Related Issues (20)
- Reference implementation of ONNX Reduce sum square is mismatch with ONNX Spec when noop_with_empty_axes == 1 HOT 5
- Clarification of Reshape semantics for attribute 'allowzero' NOT set, zero volume HOT 3
- Change dynamic shape in fixed shape using C++ HOT 1
- The weekly model zoo CI has been failing HOT 12
- Incorrect input names for quantize/dequantize ONNX backend node tests HOT 1
- Fix and test numpy_helper to_array
- How to read onnx and obtain names, imgsz HOT 3
- Model zoo test failures HOT 1
- DequantizeLinear spec clarification: What happens if the subtraction overflows/underflows? HOT 1
- the model for UniqueOp in backend test is not always correct for different input
- A conflict doc abount compatibility between Onnx Version & ML Opset Version HOT 2
- [Shape Inference] Robustness of `ConstantOfShape` operator HOT 2
- Numpy 2.0.0rc2 causes `pytest` on ONNX to fail HOT 2
- How to modify Slice attribute HOT 4
- Error While Installing ONNX HOT 3
- Export onnx model from pytorch with dynamic input size, output tensor doesn't match. HOT 9
- Discussion on the Correct Approach for Converting ONNX Models to Other Frameworks HOT 2
- Way to swap parameters inside .onnx graph (LoRA functionality) HOT 6
- docs/Operators.md missing input type description at Constant HOT 1
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