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Hii,
Thanks for the great work. I want to convert bevfusion swinT+voxelnet model to onnx and evaluate the performance.
I trained my bevfusion model with bevfusion/configs/nuscenes/det/transfusion/se…
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# TensorRT Model Optimizer - Product Roadmap
[TensorRT Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer) (ModelOpt)’s north star is to be the best-in-class model optimization toolki…
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Are there any runnable demos of using Sparse-QAT/PTQ (2:4) to accelerate inference, such as applying PTQ to a 2:4 sparse LLaMA for inference acceleration? I am curious about the potential speedup rati…
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Thanks for your nice work!
I've reproduced BEVFusion PTQ performace with the model（Resnet50） you provided and the script **tools/test-mAP-for-cuda.py** following [https://github.com/NVIDIA-AI-IOT…
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### Describe the bug
https://github.com/openvinotoolkit/anomalib/blob/3fe55842cf7bf1024ed43022d5859600052a4ed0/src/anomalib/models/components/base/export_mixin.py#L251
**as the [nncf api documen…
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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 …
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```
root@597e1d20794c:~/EOD# python -u -m up train --ng=1 --launch=pytorch --config=/root/EOD/configs/quant/det/faster_rcnn/faster_rcnn_r18_FPN_2x_quant_qdrop.yaml --display=10
NOTE! Installing ujs…
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I see the example regarding centerpoint scn 3D backbone which includes fusion and QAT.
Does this library support the use of PTQ instead - and in case where can I look for an example?
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
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**请将下面信息填写完整，便于我们快速解决问题，谢谢！**
**问题描述**
PaddleOCR rec_ppocr_v3 模型进行PTQ量化，导出inference.pdiparams .pdmodel 进行测试是正确的
推理命令
python tools/infer/predict_rec.py --use_gpu=False --use_onnx=True --rec_model…
CtSTS updated
7 months ago