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Expect argument "nodes["_N"]" to have data type torch.int32. But got torch.int64.

See original GitHub issue

🐛 Bug

To Reproduce

Steps to reproduce the behavior:

when i use SAGPool(200,ratio=0.8)(g,feats), error occurs.

DGLError: Expect argument “nodes[”_N"]" to have data type torch.int32. But got torch.int64.

And I think bug is in dgl/subgraph.py/node_subgraph().

Line 140:

        nodes = {graph.ntypes[0]: nodes}

I change that:

        nodes=torch.tensor(nodes,dtype=torch.int32)
        nodes = {graph.ntypes[0]: nodes}

and then it work

Expected behavior

Environment

DGL Version (e.g., 1.0): 0.82
Backend Library & Version (e.g., PyTorch 0.4.1, MXNet/Gluon 1.3): pytorch
OS (e.g., Linux): windows
How you installed DGL (conda, pip, source): conda
Build command you used (if compiling from source):
Python version: 3.9
CUDA/cuDNN version (if applicable): 11
GPU models and configuration (e.g. V100):
Any other relevant information:

Additional context

Issue Analytics

State:
Created a year ago
Comments:6 (2 by maintainers)

Top GitHub Comments

1reaction

wkmywscommented, Jun 16, 2022

I will do it after I finish my current work. 😃

0reactions

github-actions[bot]commented, Jul 24, 2022

This issue is closed due to lack of activity. Feel free to reopen it if you still have questions.

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