Related Issues (20)
- Doc: Insert links to Jupyter Notebooks at the top level page
- Custom layer operations HOT 1
- Add PyTorch QuantAnalyzer notebook
- Add in Adaround diagnostics in Keras AutoQuant
- Getting error - OSError: image file is truncated (13 bytes not processed) HOT 2
- AIMET throws error when type constraint is not satisfied i.e. when any layers have int32/int64 output type
- Disable quantizers of BatchNorms that can be folded to scale
- Feature requirement HOT 1
- accuracy of pruned model collapses in an in-dependent scripts HOT 1
- For AISW-52469: Keras BatchNorm Folding Failure for Unet Model
- GM: AutoQuant does not accept quantsim export arguments
- How to create .whl packages after build from scratch? HOT 2
- compute encodings seems to make quantized model worse? HOT 3
- Alignment of default settings from config file for Keras (Adaround/Quantsim)
- Support caching feature in Keras AutoQuant
- Refactor CLE PyTorch implementation
- Recursion overflow will be caused by get_downstream_nodes while exporting to ONNX
- update default quantsim config to latest
- update scipy from 1.3.2 to 1.8.1 for torch-gpu variant
- AutoQuant Inference
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