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Hello,
I am trying to create my own heterogeneous graph.
I successfully replicate the OGG_MAG example. but have trouble running my own datasets
train_loader = HGTLoader(data, num_samples=[1024] * 4, shuffle=False,
input_nodes=train_input_nodes, **kwargs)
Whenever I tried to run the HGTLoader, "the kernel appears to have died. It will restart automatically"
m
My torch version, cuda, torchvision, torchaudio,
1.11.0+cu113
11.3
0.12.0+cu113
0.11.0+cu113
I used pip to install packages:
!pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113
!pip install torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+cu113.html
!pip install torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+cu113.html
!pip install torch-geometric
!pip install torch-cluster -f https://data.pyg.org/whl/torch-1.11.0+cu113.html
!pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.11.0+cu113.html
Also, the terminal just showed:"[IPKernelApp] WARNING | Unknown error in handling startup files:" so I opened
ipython
terminal to check the error, but nothing is shown there.Please let me know how I can fix my issue.
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