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Implement quantization-aware training (QAT) and quantized inference for Jetson.
**References**
- [Pytorch QAT Blog Post](https://pytorch.org/blog/quantization-aware-training/)
- [Lil'Log Blog Post](…
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Is it possible to perform `Quantization Aware Training` on Sentence Transformers, beyond [fp16 and bf16](https://github.com/huggingface/transformers/blob/main/src/transformers/training_args.py#L404-L4…
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Could you please provide the code for training quantization aware accuracy predictor or creating dataset for quantization aware accuracy predictor?
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It can train the ViT model from the Hugging Face transformer,
but when converting to tflite model it appear an error message that I can't solve it.
The following are the tinynn setting and the error…
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**Describe the bug**
I cannot quantize Mobilenetv3 from keras2 because the hard-swish activation fuction is implemented as a TFOpLambda.
**System information**
tensorflow version: 2.17
tf_ke…
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### 💡 Your Question
I have followed exactly same steps for model training followed by PTQ and QAT mentioned in the offcial super-gradient notebook :
https://github.com/Deci-AI/super-gradients/blob…
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We aim to implement a system that leverages distillation and quantization to create a "child" neural network by combining parameters from two "parent" neural networks. The child network should inherit…
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Hi all,
We've recently open-sourced a new quantization method. VPTQ (Vector Post-Training Quantization) is a novel Post-Training Quantization method that leverages Vector Quantization to achieve hi…
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## 🚀 Feature
A clear and concise description of the feature proposal.
## Motivation & Examples
can we add Quantization-aware Training for mask_rcnn_fbnetv3a_C4.yaml ?
Tell us why the feat…
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Great to see the Tensorflow 2 Object Detect API has been released. One feature I'm very interested in is quantization aware training (as is supported in the Tensorflow 1 version). I'm assuming it's …