Reverse_Engineering_GMs
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Ground truth file missing
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!