C:\w\1\s\windows\pytorch\aten\src\ATen/native/IndexingUtils.h:20: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead.

[shazhongcheng]

I have try ：

features = preprocess_features(features) # [49216, 2], [49216], [2708, 1433]
supports = preprocess_adj(adj)

device = torch.device('cuda')
train_label = torch.from_numpy(y_train).long().to(device)
num_classes = train_label.shape[1]
train_label = train_label.argmax(dim=1)
train_mask = torch.from_numpy(train_mask.astype(np.bool)).bool().to(device)
val_label = torch.from_numpy(y_val).long().to(device)
val_label = val_label.argmax(dim=1)
val_mask = torch.from_numpy(val_mask.astype(np.bool)).bool().to(device)
test_label = torch.from_numpy(y_test).long().to(device)
test_label = test_label.argmax(dim=1)
test_mask = torch.from_numpy(test_mask.astype(np.bool)).bool().to(device)

[danboardxu]

I have the same question. I ignore the warnings to address it. Do u find the solution?

[Cat-Lover-Yes]

I haven't find the solution.Anyone konw it?

[TLJParadox]

In utils.py , change
dropout_mask = torch.floor(random_tensor).byte()
to
dropout_mask = torch.floor(random_tensor).byte().bool()