talenz
talenz
下面这样编译过不了呢？有什么办法可以插算法环境吗？ \usepackage{algorithm} \usepackage{algorithmic} \begin{document} \begin{algorithm} \caption{Calculate $y = x^n$} \label{alg1} \begin{algorithmic} \REQUIRE $n \geq 0 \vee x \neq 0$ \ENSURE $y = x^n$ \STATE $y \gets 1$ \IF{$n < 0$}...
when running train_ofa_net.py torch 1.11.0 torchvision 0.12.0
Extracting... Done! > Preloading all the models for efficiency > Loading pose model in model3D_aug_-00_00_01.mat Traceback (most recent call last): File "demo.py", line 117, in demo() File "demo.py", line 48,...
The command I ran is "python -m src.train_resnet --config ../config/train_resnet18.yaml", I got the accuracy is 0.0 after finetune! Any idea of what's causing it? > Training Epoch #9: loss: 7.25,...
I've used the pytorch official resnet50 (https://pytorch.org/docs/stable/torchvision/models.html) in your ZeroQ, and it only gives 75.85 (full precision is 76.13) All I do is change the model loading line in uniform_test.py...
What if NetAug is applied to the tiny models searched from once-for-all, since once-for-all is trained in a similar way? Will NetAug boost the tiny ofa models?
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The score is 51.9 on hard set by your code while it's 51.2 by the official MATLAB code.
The command I run: `python3 inference/inference_sim.py -a resnet18 -b 256 -pcq_w -pcq_a -sh --qtype int4 -qw int4 -c laplace -baa -baw -bcw` And it gives: Prec@1 64.622 Prec@5 85.802 But...
Hi, Great implementation! Since per-channel weight quantization is implemented in you code, I'm wondering if there is any improvement compared to per-tensor weight quantization.