Comments (3)
On a different note, even the use of the nested decorator @atenop
is not supported. And may need some investigation as to what's needed there
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Do you mean if the function is wrapped it's unsupported, or simply having an additional decorator is unsupported?
from onnxscript.
Discussed elsewhere. In general, a decorator will have some non-trivial effect, so ignoring (during translation/conversion) may not be a good idea. But we could expose a way for users to indicate which decorators should be treated as "no effect" and ignored.
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Related Issues (20)
- Transformations that impact graph outputs
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- [IR] `copy_from` method for transferring metadata
- Pass to convert a model with bfloat16 inputs to float16 HOT 4
- Optimizer produces a wrong model if run after it is optimized and inlined HOT 1
- [torchlib] native_layer_norm_float32 is failing on MacOS CI with significant absolute difference HOT 5
- ConstantFolder fails shape inference on second iteration HOT 3
- [IR] Common passes
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- [rewriter/optimizer] Port ORT-model-conversion tools and integrate Optimizer and Rewriter Tools
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- [IR] Allow values as outputs to ir.Node initializer HOT 3
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