Related Issues (20)
- Modify quantizer type based on encoding provided when strict=False
- aimet common didn't release? HOT 5
- Missing save_as_external_data in OnnxSaver.save_initializer_restored_onnx_graph
- Torch batchnorm issue with Aimet 1.32.2
- AIMET 1.32 support for diffusers 1.28
- AIMET-TF-GPU Installation Issue
- CUDA ARCH 9.0 unsupported? HOT 7
- Memory Corruption Error: free(): invalid next size (fast) in bias_fold Method
- ImportError libpymo in AIMET 1.32 Pytorch 2.1.2+cu118 HOT 7
- CUDA ARCH 9.0 unsupported?
- RNN can not be quantized by aimet
- Fix device mismatch with blockwise api
- Added support for GridSample Op and made ScatterND op Jit tracable
- Unable to initialize class AimetTensorQuantizer: Cannot import AimetTensorQuantizer. Please build AimetTensorQuantizer and add artifact path to PYTHONPATH to resolve this issue HOT 2
- cache dataset is improperly built with inspect.param filed as defaults.
- Enable param renaming for export to onnx direct
- RmsNorm Op support
- I cannot install aimet-tf-cpu on ubuntu 20.04! HOT 2
- Register RmsNorm for quantization
- what's the quantization logic of LSTM
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