Comments (3)
stevenabreu7
commented on July 24, 2024
Same comment as #12 - I'm not sure this is necessary for an intermediate representation. Do you still think we should implement this? @Jegp
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matjobst
commented on July 24, 2024
I would agree with @stevenabreu7 and think it is unnecessary as NIR is not meant as end-user product.
In most cases, these would anyways have to be changed from the default (even if only to adapt to the correct shapes).
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Jegp
commented on July 24, 2024
Agree with you both. I recall this was a conversation at Telluride at some point to make NIR more usable, but that's definitely not the top priority now.
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Related Issues (20)
- Notebook docs run with wrong dependencies
- 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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