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shape '[512, 256, 3, 3]' is invalid for input of size 357392 #11
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蠢了,,, 刚刚发现还生成了配置文件,没用上=_= |
嗯嗯剪枝后模型结构发生了改变,所以会生成新的cfg,加上权重你还可以移植到其他框架。剪通道的话试试slim prune效果可能更好哦 |
恩恩, 感谢你的回复, 我想问下,你有没有尝试过 将导出的onnx 转换成tensorrt, 这一步我遇到了困难,一直转不成功。 |
@noobliang 感谢推荐 哈哈 从别的项目过来的,看了一遍issues又看到了你的评论,可否留个联系方式,我后面也要做onnx tensorrt,可以一起讨论 |
微信,xlm992496359
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…------------------ Original ------------------
From: Gaondong <notifications@github.com>
Date: Wed,Dec 4,2019 3:58 PM
To: tanluren/yolov3-channel-and-layer-pruning <yolov3-channel-and-layer-pruning@noreply.github.com>
Cc: liangming <992496359@qq.com>, Mention <mention@noreply.github.com>
Subject: Re: [tanluren/yolov3-channel-and-layer-pruning] shape '[512, 256, 3, 3]' is invalid for input of size 357392 (#11)
@noobliang 感谢推荐 哈哈 从别的项目过来的,看了一遍issues又看到了你的评论,可否留个联系方式,我后面也要做onnx tensorrt,可以一起讨论
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@noobliang 我的微信gjdfighting,你的账号搜索不到 |
你好, 我训练自己的数据,经过基础训练,稀疏训练, 和shortcut_prune剪枝, tensorboard 和 剪枝结果都是正常的, 但是最后我用剪枝后的权重跑detect.py 时候报错了,shape '[512, 256, 3, 3]' is invalid for input of size 357392.. 请问经过shortcut_prune剪枝之后得到的权重是否还要处理?...
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