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January 1, 2018 21:49
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to_categorical_labels
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| def to_var(x): | |
| if torch.cuda.is_available(): | |
| x = x.cuda() | |
| return torch.autograd.Variable(x) | |
| def to_categorical(ys, n_classes): | |
| # 1-hot encodes tensors | |
| if len(ys) == 0: | |
| return ys | |
| d = [to_var(torch.from_numpy(np.eye(n_classes, dtype='uint8')[y])) for y in ys] | |
| return torch.stack(d, 0) |
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