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CUDA and Pytorch version for p6 models #709

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Alam45 opened this issue Sep 4, 2022 · 1 comment
Open

CUDA and Pytorch version for p6 models #709

Alam45 opened this issue Sep 4, 2022 · 1 comment

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@Alam45
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Alam45 commented Sep 4, 2022

@AlexeyAB @WongKinYiu I would like to know which cuda version and pytorch version are used to produce output for YOLOv7-E6E model as reported in the paper? And specifically with --batch-size 128 using the following command:

train p6 models

python -m torch.distributed.launch --nproc_per_node 8 --master_port 9527 train_aux.py --workers 8 --device 0,1,2,3,4,5,6,7 --sync-bn --batch-size 128 --data data/coco.yaml --img 1280 1280 --cfg cfg/training/yolov7-e6e.yaml--weights '' --name yolov7-e6e --hyp data/hyp.scratch.p6.yaml

I am trying to reproduce the results for YOLOv7-E6E model reported in the paper.

@Alam45
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Alam45 commented Sep 5, 2022

Cuda == 11.4 (NVIDIA Driver => 470.57, cudnn == 8.2.2, nccl == 2.10.3)
*python == 3.8.10
opencv-python == 3.4.11
numpy == 1.21.2
torch == 1.10
torchvision == 0.11
tensorboard == 2.6.0
matplotlib == 3.4.3
pandas == 1.4.4
Pillow == 8.2.0
protobuf == 3.17.3
psutil == 5.8.0
PyYAML == 5.4.1
pycocotools == 2.0
requests == 2.26.0
scipy ==1.6.3
tqdm == 4.62.1
Cython == 0.29.24
seaborn == 0.11.2
ipython == 7.26.0
thop == 0.1.1.post2207130030
onnx == 1.8.204

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