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RepVGG: Making VGG-style ConvNets Great Again

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Congratulations you guys make a big progress in deep learning nerual nets. I found an interesting thing in the model initialization, the diff is so large when BN module initialized...

Nice work. Could you share your pre-trained model for segmentation, .e.g RepVGG-B1g2-fast. Looking forward to your replay~

Hi Thank you for sharing your amazing work. I have a few questions and concerns: 1. Is it true that the accuracy of the training model and the re-parameterized model...

请问如果多分支内部有激活函数、门控等非线性操作的话也可以合并吗?提前感谢解答!

‘config.py’ line178 config.DATA.TRAIN_DATA_SIZE = args.train_data_path I think it should be 'config.DATA.TRAIN_DATA_PATH = args.train_data_path'

I want to do "jit.trace " to scripting repvggplus. But there is a error in "class SEBlock": ``` x = F.avg_pool2d(inputs, kernel_size=inputs.size(3)) TypeError: avg_pool2d(): argument 'kernel_size' must be tuple of...

对代码进行了修改以训练自己数据,发现多卡训练总是不能进行下去,单卡是没问题。调试发现是卡在了下面这一步。 `msg = model.load_state_dict(checkpoint, strict=False)` ![image](https://user-images.githubusercontent.com/73874553/222131421-29783075-76d7-4fa0-bd15-0badda282c63.png) 请问是为什么呢? 训练命令为: `CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.run --nproc_per_node 2 --master_port 12345 main.py`