[GraphBolt] Add gb.numpy_save_aligned.

[mfbalin]

Description

If we store our features in the numpy format using this new function, our io_uring and mmap disk read operations will speedup significantly (2.1 GiB/s vs 1.7 GiB/s) for nice close to power of 2 embedding sizes such as 768 floats or 512 int8s

It is risk free to do this change because the files that we handle are a lot larger than 4K.

Checklist

Please feel free to remove inapplicable items for your PR.

• The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
• I've leverage the tools to beautify the python and c++ code.
• The PR is complete and small, read the Google eng practice (CL equals to PR) to understand more about small PR. In DGL, we consider PRs with less than 200 lines of core code change are small (example, test and documentation could be exempted).
• All changes have test coverage
• Code is well-documented
• To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
• Related issue is referred in this PR
• If the PR is for a new model/paper, I've updated the example index here.

Changes

[dgl-bot]

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[mfbalin]

Finished working on the PR.

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Commit ID: 872b7a2d5a9b5a9e4d851f697135399d848ceedf

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Commit ID: 7f19f91c22b20f2a0d54c69aa5f93bc6efa8b61e

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