davidtvs pytorch-lr-finder issues

davidtvs / pytorch-lr-finder

A learning rate range test implementation in PyTorch

MIT License

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issues

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Prevent unexpected unpacking error when calling `lr_finder.plot()` with `suggest_lr=True`

#98 NaleRaphael closed 1 week ago
0
New release for pip?

#97 carbocation opened 1 month ago
2
How is this supposed to work?

#96 qudabear closed 1 month ago
1
Update CI to python 3.6 and torch 1.0.0

#95 davidtvs closed 2 months ago
0
ISSUE #93: Allowing to use custom activation before computing the los…

#94 FMGS666 closed 3 months ago
0
Allowing to use custom activation before computing the loss values

#93 FMGS666 opened 7 months ago
3
Update CI

#92 davidtvs closed 7 months ago
0
Make both `torch.amp` and `apex.amp` available as backend for mixed precision training

#91 NaleRaphael closed 7 months ago
4
Request: Allow not using AMP even if it's available

#90 carbocation closed 7 months ago
5
Request: return best LR without plotting

#89 BagelOrb opened 1 year ago
1
TypeError: cannot unpack non-iterable AxesSubplot object

#88 laiyuzhi closed 1 week ago
1
ModuleDict.update should be called with an iterable of key/value pairs, but got ResNet

#87 manza-ari opened 2 years ago
6
Understanding suggested LR

#86 sivannavis closed 2 years ago
5
conda forge package?

#85 rabernat opened 2 years ago
0
how to get the best LR

#84 ardeal opened 2 years ago
2
'<' not supported between instances of 'MSELoss' and 'int'

#83 RowanG1 closed 7 months ago
2
TypeError: forward() missing 1 required positional argument: 'labels'

#82 adnan119 closed 2 years ago
6
'dict' object has no attribute 'param_groups'

#81 manza-ari closed 7 months ago
6
LR finder for optimizing a single input tensor?

#80 ProGamerGov closed 7 months ago
2
device issue says its bool not torch.deivce but i have printed the device as well it is torch.device("cuda:0")

#79 msverma101 closed 7 months ago
2
Lr-finder with multiple inputs, outputs and losses

#78 YashRunwal closed 7 months ago
22
How to get the best learning without inspect plot ?

#77 tks1998 closed 3 years ago
0
ValueError ValDataLoaderIter next() call missing

#76 paulhager closed 7 months ago
2
TrainDataLoadIter post-process network prediction

#75 sevagh closed 7 months ago
2
How to use in the command, not notebook?

#74 NeighborhoodCoding closed 3 years ago
2
Obtaining ValueError on m-BERT even after using TrainDataLoaderIter

#73 ishandutta0098 closed 7 months ago
4
Plot not showing up

#72 sciadopitys closed 3 years ago
6
Issue with DataLoader with lr_finder.range_test

#71 phongvu009 closed 7 months ago
11
Steepest gradiant value

#70 msverma101 closed 7 months ago
4
Make this work for TripletMarginLoss

#69 vinod1234567890 closed 3 years ago
4
Question: Number of iterations

#68 swigicat closed 7 months ago
6
Support pytorch's native amp

#67 daniel-j-h closed 7 months ago
6
Explicitly check whether `min_grad_idx` is `None` or not before returning in `lr_finder.plot()`

#66 NaleRaphael closed 3 years ago
4
Suggested LR not returned when min_grad_idx is 0 in plot()

#65 manuel-munoz-aguirre closed 3 years ago
2
Distributed training with ddp

#64 milliema closed 3 years ago
3
Can we plot the learning rate vs accuracy and get LR at max accuracy using your library - need for SuperConvergence

#63 nagapavan525 closed 3 years ago
2
AttributeError: 'tuple' object has no attribute 'log_softmax'

#62 Zacchaeus00 closed 3 years ago
0
Multiple Input Support

#61 moritzwilksch closed 3 years ago
2
Make `ValDataLoaderIter` able to be reset only when it is acquired by the syntax of normal `iterator`

#60 NaleRaphael closed 4 years ago
4
Validation loader flat loss

#59 Dewald928 closed 4 years ago
5
Determine batch size from `labels` instead of `inputs`

#58 NaleRaphael closed 4 years ago
2
Cannot determine `batch_size` from a list of string while running `range_test()` with `val_loader`

#57 NaleRaphael closed 4 years ago
7
How to find the best lr?

#56 fermat97 closed 3 years ago
2
Help with lr-finder working with transformers?

#55 afogarty85 closed 7 months ago
15
How do I get the lr_finder to run multiple batches for each "iteration", as defined by `num_iter` in `lr_finder.range_test()`?

#54 Shreeyak closed 4 years ago
3
Feature Req: Option to disable showing graph and enable saving graph to disk, for purposes of running on headless server

#53 Shreeyak closed 4 years ago
5
I'm getting a blank graph

#52 Shreeyak closed 4 years ago
9
How to use w/ LSTM

#51 phiweger closed 4 years ago
2
how to define num_iter?

#50 jorie-peng closed 4 years ago
5
Support torchtext dataloaders

#49 phiweger closed 4 years ago
4