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Browse files- alpha_res.npy +0 -0
- alpha_res_old.npy +0 -0
- alpha_z.npy +0 -0
- alpha_z_old.npy +0 -0
- app.py +0 -3
alpha_res.npy
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Binary files a/alpha_res.npy and b/alpha_res.npy differ
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alpha_res_old.npy
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Binary file (473 kB). View file
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alpha_z.npy
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Binary files a/alpha_z.npy and b/alpha_z.npy differ
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alpha_z_old.npy
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Binary file (7.16 kB). View file
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app.py
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@@ -31,9 +31,6 @@ results = np.load('alpha_res.npy',allow_pickle=True)
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alphabet_test = np.load('alphabet.npy')
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zs_ = np.load('alpha_z.npy',allow_pickle=True)
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for i in range(zs_.shape[0]):
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zs_[i] = zs_[i] - zs_[i].min()
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curves__ = torch.tensor(alphabet_test).float()
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curves__ = curves__ - curves__.mean(1).unsqueeze(1)
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max_idx = torch.square(curves__).sum(-1).argmax(dim=1)
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alphabet_test = np.load('alphabet.npy')
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zs_ = np.load('alpha_z.npy',allow_pickle=True)
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curves__ = torch.tensor(alphabet_test).float()
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curves__ = curves__ - curves__.mean(1).unsqueeze(1)
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max_idx = torch.square(curves__).sum(-1).argmax(dim=1)
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