Comments (1)
三种剪枝是slimming的不同实现
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Related Issues (20)
- yolov5量化实验 HOT 1
- weight量化问题
- 关于后训练量化的疑惑,真真诚诚希望得到解答 HOT 1
- 关于反卷积和BN层融合的疑惑 HOT 1
- WQ的max_val为什么是 (1 << self.bits) - 2)?
- 关于是否有必要添加输出量化的问题? HOT 1
- 修改成自己模型后遇到的问题
- Can you add an English version please?
- 模型压缩数据对比,没有指出是wbwtab 还是wqaq训练的?
- wbwtab下的bn_fuse 设置问题
- zero_point 求法
- 请求帮助,模型量化时是一定要重新手动创建一个量化的模型类脚本吗。
- modify weight/activation
- nin_gc网络,在add_quant_op()函数中为什么没有通道拆分并transpose,再reshape? HOT 1
- 请问压缩之后的网络可以直接拿来在pytorch上做inference嘛? HOT 1
- 量化导入自己pth模型时候出现 KeyError: 'state_dict' HOT 1
- Dorefa训练的反向传播 HOT 1
- nin_gc训练一段step后,loss变很大很大 HOT 2
- 采用迁移的dorefa方法的量化训练问题
- 模型·大小对比 HOT 8
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