Comments (3)
Could you please specify your training situation? Could you let me know if you have already installed the faster implementation of the large-kernel ConvNet in our repository?
https://github.com/AILab-CVC/UniRepLKNet#use-an-efficient-large-kernel-convolution-with-pytorch
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The UniRepLKNet backbone is used in an segmentation task. The the faster implementation of large-kernel ConvNet is not used. This may be the cause of the my problem and I'll have a try.
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Exactly, the faster implementation may be important to semantic segmentation tasks while a big batch size is utilized.
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Related Issues (17)
- 作者您好,在Time-series子项目中,张量的格式似乎出错 HOT 7
- cp: 无法获取'ModelNet40' 的文件状态(stat): 没有那个文件或目录 HOT 1
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- 图像分割
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- 关于UniRepLKNetBlock中的self.gamma的作用
- Why UniRepLKNet does not using drop path.
- Install install 19_large_depthwise_conv2d_torch_extension but ”bash: ./setup.py: Permission denied“ HOT 1
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- The parameter loading is incomplete HOT 2
- 论文里面的一个问题 HOT 4
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- error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.4\\bin\\nvcc.exe' HOT 1
- depthwise conv 似乎没加速 HOT 1
- A small bug in reparameterize() HOT 2
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