Comments (6)
Eric-mingjie
commented on June 1, 2024
我不太懂简直后重新调整结构具体指一个什么样的步骤?
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TerryLoveMl
commented on June 1, 2024
非常感谢你的回复，我的疑惑是剪枝之后，是否可以调整卷积的方式，使其计算更加有效率？
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Eric-mingjie
commented on June 1, 2024
什么叫卷积的方式?我不太懂，能给具体的例子吗?比如你说的卷积有哪些方式
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TerryLoveMl
commented on June 1, 2024
我复现的是对resnet剪枝的代码，剪枝之后，我想参考人工设计轻量化的网络，比如mobilenetv2，将剪枝之后的网络的普通卷积替换成深度卷积，不知道这样是否可行？
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Eric-mingjie
commented on June 1, 2024
理论上应该不行吧，slimming剪枝的是filter,剪枝完了之后仍然是全卷积，并不是group convolution。
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TerryLoveMl
commented on June 1, 2024
谢谢你对我问题的回答，非常友好的博主，祝以后天天开心。
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Related Issues (20)
- resnet50 HOT 1
- 为什么定义的resnet网络训练时gpu显存占用这么大啊？
- 为什么我裁剪完成后，模型运行占用的显存比没裁剪的还要高？ HOT 1
- 预测单张照片时，准确率只有0.0几 HOT 2
- Minor Bugs caused by old version
- Sparse Confusion HOT 1
- channel_selection layer intraining process HOT 2
- 剪枝后保存的权重文件和newmodel加载不上 HOT 3
- RuntimeError: Given groups=1, weight of size [15, 14, 1, 1], expected input[64, 16, 32, 32] to have 14 channels, but got 16 channels instead HOT 1
- If the remaining channel for a layer is zero, it reports zero division error HOT 2
- 原论文中的memory是指 HOT 6
- TypeError: item() takes no arguments (1 given) HOT 1
- mnn加载剪枝模型错误 HOT 1
- 经稀疏训练剪枝后模型变小，但是refine微调后模型又变大了
- 关于L1 regular HOT 1
- m.weight.grad.data.add_的问题
- 问题咨询：剪枝后通道数为0 HOT 7
- RuntimeError: CUDA error: device-side assert triggered HOT 1
- About other visions
- 题外话：模型压缩如何入门？对于自己的网络架构该如何着手去写剪枝代码？
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