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pp-picodet量化训练和量化校准后,rk3399上安卓示例的Detector predict costs 时间变化不大,才降10-20ms左右,这是正常的吗?如何能将Detector predict costs时间大幅降低?为什么rk3399上picodet_s_320_coco模型的Detector predict costs时间需要100多ms,怎么才能降低时间?
python too…
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I am trying to use multi-gpu QAT training using Imagenet example code. It runs into issue after first iteration training update.
RuntimeError: grad.numel() == bucket_view.numel() INTERNAL ASSERT F…
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## Description
Hi there, recently I was using `pytorch_quantization` to quantize my detection model, and I found out that there is a different processing step between **native** TensorRT INT8 PTQ…
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## Description
Error occurred parsing fake quantization ONNX model using TensorRT7.2.1.6 following the guidance of [`pytorch-quantization` toolbox](https://docs.nvidia.com/deeplearning/tensorrt/pyt…
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### Before Asking
- [X] I have read the [README](https://github.com/meituan/YOLOv6/blob/main/README.md) carefully. 我已经仔细阅读了README上的操作指引。
- [X] I want to train my custom dataset, and I have read the …
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Is there a method to run partial quantization via Int8 calibrators ?
ref: https://arxiv.org/pdf/2004.09602.pdf
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I have a saved_model want to use NIC's PTQ, When I use `examples/tensorflow/image_recognition/SavedModel/quantization/ptq` to test it, The error occur:
```
2022-03-23 17:08:39 [INFO] Generate a fake…
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## Description
Using the `pytorch-quantization` toolkit of TensorRT to do PTQ on a pytorch model, gives 0 scale values for some nodes, which causes ONNX parse error when trying to loading into Tens…
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## Description
I have a FP32 model.
To optimise transfer speed of my image to GPU, I want to transfer my image as Int8 instead of FP32.
I modified my ONNX model to receive image in int8, and c…
joihn updated
2 years ago
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## 🚀 Feature
Update the weights of all pre-trained models to improve their accuracy.
## Motivation
New Recipe + FixRes mitigations
```
torchrun --nproc_per_node=8 train.py --model $MODEL_NA…