Comments (4)
LiSu
commented on September 26, 2024
Currently only Linux distribution of GLTorch is provided via Pypi, Windows is not supported yet. You can try it in a Linux container.
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phamthanhtu310702
commented on September 26, 2024
I have successfully installed GLTorch on Amazon SageMaker Notebook Instance. and How can i switch to CPU mode after installing GLTorch via Pypi ?
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LiSu
commented on September 26, 2024
This example uses GPU training by default, CPU mode can be configured by:
- line 98:
graph_mode='CPU', - remove line 103 ~ 105, add
with_gpu=Falseas the input parameter forinit_node_features - line 109: device = torch.device('cpu')
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husimplicity
commented on September 26, 2024
This issue is closed due to 30 days with no activity. You can reopen it if not resolved.
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Related Issues (20)
- Error handling in distributed training
- Cannot build from source for C++ operations HOT 5
- Examples have fixed default number of processes HOT 4
- RPC Failure after 1st epoch of training on IGBH-tiny and IGBH-small HOT 4
- AttributeError: module 'graphlearn_torch.py_graphlearn_torch' has no attribute 'SampleQueue' HOT 1
- Crashed when running distributed CPU training using 2 nodes HOT 3
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- [Bug] CUDA failure: 'invalid configuration argument' when batch_size is 1 or 2 HOT 1
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- Add supports for weighted edge sampling HOT 1
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