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Ground truth file missing

Open cocoaaa opened this issue 2 years ago • 1 comments

Hi, thank you for sharing your code and data. I'm trying to run the reverse_eng_train.py and reverse_eng_test.py scripts, but both are failing due to missing files required in the following lines:

ground_truth_net_all=torch.from_numpy(np.load(opt.ground_truth_dir+ "ground_truth_net_arch_100_15dim.npy"))
ground_truth_loss_all=torch.from_numpy(np.load(opt.ground_truth_dir+ "ground_truth_loss_100_3dim.npy"))
ground_truth_loss_9_all=torch.from_numpy(np.load(opt.ground_truth_dir+ "ground_truth_loss_100_9dim.npy"))

I downloaded the dataset of trained models from the google drive link in the Readme, but couldn't find any information about where we can access those ground-truth data.

Also, could you verify that the file in the google drive 11_model_set_1.pickle contains the 100 trained models? When I load the file (e.g. data = torch.load('11_model_set_1.pickle), I am getting a checkpoint of a single model (and optimizers). I'd appreciate if you could verify that this is the right file to download the trained models.

Thank you!

cocoaaa avatar Feb 05 '22 01:02 cocoaaa