Neda Azarmehr

@Catosine and @HaiPhan1991 could you please explain how you reconstruct the model and visualized the learned cell? I am using DARTS for a customize dataset. If I run the `visualize.py...

Hi @HaiPhan1991, Thanks a lot. It does make sense. Do you visualize only cells? Could you please use my attached searched model and give me an example of how you...

thank you @Catosine and @HaiPhan1991 for explanation. one more question, I am not sure about understanding of topk accuracy precision. what is k here, is it classes? Is top1 accuracy...

I found the answer to this question here: https://openreview.net/forum?id=S1eYHoC5FX For convolutional cells: Our setup of #cells (8->20), #epochs (600) and weight for the auxiliary head (0.4) in the final evaluation...

Hi @YANGWAGN, When you ran the train_search.py, the [model.genotype()](https://github.com/quark0/darts/blob/f276dd346a09ae3160f8e3aca5c7b193fda1da37/cnn/train_search.py#L113) will give you the best-learned cell. So, you need to train it for a few numbers of epochs and get the...

It's giving me a different error which is `File "main.py", line 30, in main trnr = trainer.Trainer(args, dataset) File "D:\Neda\Pytorch\NAS\trainer.py", line 160, in __init__ self.build_model() File "D:\Neda\Pytorch\NAS\trainer.py", line 182, in...

@CesurMurka and @zhjmcjk I didn't reach this stage, and I got this error. How did you resolve this? If you didn't get an error could you please mention your Pytorch...

@HankKung Thank you for providing the clarification about the network. I am wondering what does each number mean in the output of cell structure? or how we can print(genotype) instead...

@Jayant1234 Thanks a lot. Did you try to do the best search? I am wondering how was the timing? I did set the parameters for epochs same as paper so...

My dataset is 595 images. I cannot go smaller than 256 * 256 this. Yes--for each epoch after epoch 20 takes about 36 hours while from epoch one to 19...