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HI @satyanshu404 ,
I really liked what you've tried to accomplish by pruning your model at various sparsities -
> **The Lottery Ticket Hypothesis** - A randomly-initialized, dense neural netw…
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Hi,
thanks for your nice repo!
Have you tested whether the CNNs are able to find winning tickets on Cifar10 and Cifar100?
I ran multiple experiments with most of the convolutional architecture…
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https://xkcd.com/2370/
https://www.explainxkcd.com/wiki/index.php/2370:_Prediction
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Related to the _The Lottery Ticket Hypothesis_, pruning allows to discard a large amount of parameters within a network [1, 2, 3, 4] without sacrificing model accuracy (depending on the amount of cour…
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With the release of EfficientNet, it is interesting great to see the partial release of checkpoints:
> We have provided a list of EfficientNet checkpoints for EfficientNet-B0, EfficientNet-B1, Effi…
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Hi, i'm interest in your work, but i can't run your code. Is this the latest?
I meet some problems, such as: file "csr_attack.py", line 298, why use CrossEntorpyLoss?
And line 308, there is an obvio…
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### Discussed in https://github.com/PyTorchLightning/pytorch-lightning/discussions/8363
Originally posted by **MohammedAljahdali** July 10, 2021
Hi, I have a script that does the following log…
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## 🚀 Feature
support mainstream pruning techniques.
## Motivation
Recently, lots of new pruning algorithms are proposed, but the [current implementation](https://github.com/pytorch/pytorch/blob/4…
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[The format of the issue]
Paper name/title:
Project link:
Paper link:
Code link:
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执行的命令为
```
python chat_paper.py --pdf_path "/home/nvidia/Desktop/papers/"
```
报错部分截取如下
```
prompt_token_used: 1217 completion_token_used: 323 total_token_used: 1540
response_time: 11.701 s
s…