e-said

Hi @escorciav I'm using aimet_torch, and there you have a [method](https://github.com/quic/aimet/blob/d81e59bcdbcf900d2847c6c7a7f498188f9ad745/TrainingExtensions/torch/src/python/aimet_torch/quantsim.py#L1807) to convert aimet custom nodes to torch native QDQ nodes. When I use native QDQ torch nodes and export...

Hi @escorciav I don't have a simple script showing this (my pipeline is quite complexe) but I can share some hints to help you create a script to test this:...

Same question here, any updates on this please ? (Thanks to google translate :-) the question is => "The network I tested was ConvTranspose+ BatchNormalization. But the BN layer did...

Hello @CangHaiQingYue model preparer is highly recommended in aimet, you can find [here ](https://quic.github.io/aimet-pages/releases/latest/api_docs/torch_model_preparer.html) some more info on this API. Didn't get the issue you are facing, but probably partial...

Hi @superpigforever, There are two points I would recommend checking: 1/ BN folding during QAT (using the method fold_all_batch_norms) => this is recommended to ensure consistency between QAT and hardware...

Hi @JiliangNi I'm not aware of Qoperator support in AIMET. However, you can obtain QDQ format in your ONNX using _use_embedded_encodings=true_ with AIMET's ONNX export feature. If you're unfamiliar with...

Hi @Eman-Su Didn't get this issue with aimet 1.30.0 Try to install networkx giving this specific version networkx==3.1 before installing aimet, that will probably fix your issue

Hello @tuanbos, In aimet onnx export method, you need to set use_embedded_encodings to true to get the onnx with QDQ nodes. Please note that this feature is support currently for...

yes, your understanding is correct. My bad I didn't see you are using aimet_onnx TBH, I don't use aimet_onnx, but in the code it seems there is no option at...

yes they are not native QDQ nodes, you can try to do something similar to what they implemented in aimet_torch [here](https://github.com/quic/aimet/blob/develop/TrainingExtensions/torch/src/python/aimet_torch/quantsim.py#L1830)