Comments (2)
I don't think this is necessary - since NIR is just an intermediate representation, we don't need to define the most convenient API for use cases that will likely be rare (typically one already has access to the full weight matrix when converting to a NIR graph).
Can we close this @Jegp?
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Sure, that makes sense. I do think we should care about usability. But not for now :)
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Related Issues (20)
- Pull request checks failling because of failing lint of existing code in main HOT 2
- Comparison of two nodes fails HOT 8
- black and docformatter conflict.
- Discrepancy between Readme and docs on supported projects HOT 4
- Misleading method name `from_list` HOT 8
- Unify version tag and automate release
- IR for SumPool2d
- Poor code design pattern for serializing/deserializing HOT 2
- Disambiguation input/output shapes HOT 5
- Conv2D misleading default input_type and output_type HOT 1
- Remove input_shape from Conv1d/2d
- Flatten input_type is not necessary HOT 2
- Suggestion: add input_type argument to nir.from_list
- infer_type fails with Tuple index out of range error. HOT 9
- meta-data in NIR nodes HOT 3
- LICENSE mismatch HOT 3
- Add AvgPool2D
- Backwards-compatibility of imports broken after refactoring HOT 1
- 'int' object has no attribute 'item' on conv shapes calculation HOT 5
- Remove notebooks and paper data from pypi release HOT 1
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