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Hello,I try to add Parallel in train.py (cus train_dist.py can't really work fine on my cluster)
by add DataParallel function and move the optim under net
```
net.to(device)
net = torch.nn…
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**Can not convert the file xxxx
The unsupported packages or operators are:**
```
[torch.as_tensor, torch.optim.AdamW].
[torch.float].
[torch.nn.utils.clip_grad_norm_].
[torch.nn.parameter.Param…
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Key issues:
- freq for diff PEQ are too close to each other: solution is to manipulate the constraint; it is complicated since the support is bad for complicated constraints. The linear constraint is…
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Traceback (most recent call last):
File "train.py", line 513, in
train(hyp, opt, device, tb_writer, wandb)
File "train.py", line 299, in train
scaler.step(optimizer) # optimizer.step…
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Hi @kxz18 , I am trying to run your repo locally. I have the same package versions of the libraries you are using and I am getting `File ".../lib/python3.9/site-packages/pytorch_lightning/trainer/opti…
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Hi All,
I get NAN in gradParameters when training with multiple GPU.
I have tried on both cuda 7.5 (two K80) and cuda 8.0 (two 1080P), and got similar error.
Any suggetion will be great appreciat…
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(base) C:\YCRS_DATA\YCR_Code\pytorch-saltnet-master>python train.py --vtf --pretrained imagenet --loss-on-center --batch-size 32 --optim adamw --learning-rate 5e-4 --lr-scheduler noam --basenet senet1…
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Can your code be used to compute the KFAC (Fisher) matrix using a different loss than the loss we take the gradient of?
If so, how?
thanks
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I tried to use the streaming_convnets from recipes: i used two different lexicon and token(character based model vs wordpiece based model):
I used for that a small dataset for training (train-clean…
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Dear LMMM Team,
I want to express my sincere appreciation for the hard work you've dedicated to creating this remarkable model. It's truly impressive and has proven to be user-friendly and easy to …