Comments (1)
呃没测过训练,单纯用torchpruner是可以发现并剪的。
from torch-model-compression.
Related Issues (20)
- Does there any params and speed comparasion on common models? HOT 2
- examples中prune.py运行报错 HOT 7
- self.index_mapping 代表什么意思?它是用来作什么的? HOT 1
- torchslim中在cifar10上的示例代码输出为64维,而不是10维 HOT 3
- 是否有相关的文章支持 HOT 2
- 有没有实验yolo系列QAT感知量化训练模型? HOT 1
- About how to import self-built models for compression HOT 1
- 关于resnet和自建模型prune时遇到的相同报错 HOT 1
- 剪枝时前面的层数正常,最后几层在对齐masks same size时报错
- Can the QAT-quantized model calculate inference speed? HOT 1
- 关于ResRep模型性能对比 HOT 4
- About parameter Settings during training HOT 4
- yolov5 resrep剪枝 HOT 5
- qat量化能够导出onnx,能够在tensorrt上进行部署吗? HOT 3
- resnet50剪枝报错 HOT 1
- How to quantize and compress the trained model??? HOT 1
- TypeError: cannot assign 'torch.cuda.FloatTensor' as parameter 'weight' (torch.nn.Parameter or None expected) HOT 6
- 剪枝分割网络报错-bisenetv2 HOT 17
- demo中剪枝后预测结果差距很大? HOT 15
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from torch-model-compression.