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[dev] update minimum torch version to 2.1.0 #7401
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To trigger regression tests:
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We're updating the minimum pytorch version from On the web page: https://hub.docker.com/r/rapidsai/cugraph_stable_torch-cuda, I cannot find any newer ones. So do you have ideas about how to handle this? |
@chang-l Hi, do you have any suggestion on this? Should we bypass the test on cugraph or upgrade docker image? |
@Rhett-Ying, can you please try switch to NVIDIA's public NGC DGL container for your CI/CD?(https://catalog.ngc.nvidia.com/orgs/nvidia/containers/dgl) It includes latest PyTorch and latest RAPIDS (e.g., cugraph/wholegraph) for graph analysis. |
@Rhett-Ying We can pause (bypass) the cugraph test for now. cugraph is in the process of refactoring. We can add the test back once its ready. Or as @chang-l suggested to use NVIDIA DGL container. |
Sure. Let's pause the cugraph test for now. And is there any ticket link to track the status of cugraph refactoring? we could link it here. |
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