Comments (2)
Hmmm ... I think eventually, we could switch to using ONNX's reference evaluator, but that's also fairly new and probably needs some more testing and stabilization.
But, realistically, the eventual use is most likely going to be via ORT, and if it is not supported by ORT, it is going to be an issue for production deployment anyway.
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IIRC ort dislikes float64 to control binary size. Maybe default to onnx reference and switch to ort by option? Or the other way around is ok too, but for testing purposes I would like to use the reference runtime.
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Related Issues (20)
- Coverage not showing up for IR e2e tests
- [optimizer/rewriter] Create documentation for the optimizer and rewriter HOT 3
- [Feature request] Implement logging to improve pattern mismatching debug HOT 1
- Graph replayer HOT 1
- Reference: Table-driven Declarative Rewrite Rule (DRR)
- Clean up `generic_pattern.py`
- [IR] Rename `def_node` HOT 3
- Naming convention for common objects in rewritter/ir
- Pattern builder UI
- [IR] Integrate symbolic shape inference HOT 2
- IR Integration plan HOT 1
- Optional node-input in rewriter pattern HOT 1
- Repeated variables in a rewriter pattern
- MatchResult dictionary for pattern rewrite
- Support proto message input to rewriter (after the IR migration)
- Graph/Function/IR mutation, onnxscript, and rewriter HOT 1
- Ensure rewrite rule does not have to trigger constant-propagation
- Use IR in ONNX Script converter
- Use IR in function rewriter
- [IR] Support empty outputs
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