[GraphBolt] high memory consumption when building GPU version
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- Python
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Description
## 🔨Work Item
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Project tracker: https://github.com/orgs/dmlc/projects/2
## Description
We're finding high memory consumption happens when building GPU version of DGL. This issue is firstly introduced when GPU sampling is added. Widely using `AT_DISPATCH_xxx` macros could be one of the culprit. And I think there's more culprits.
This issue make `conda-forge` struggling a bit. See details [here](https://github.com/conda-forge/dgl-feedstock/pull/28).
So we need to look into it.
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