[GraphBolt][CUDA] Optimize CopyTo performance.

[mfbalin]

Description

https://pytorch.org/tutorials/intermediate/pinmem_nonblock.html

According to this tutorial, pinning before copying is not a requirement for non_blocking copies. However, when the data is pinned, it is possible to run the copies in a separate stream, this optimization can be enabled later. This should bring down the regression test runtimes for cpu-cuda.

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]

To trigger regression tests:

• @dgl-bot run [instance-type] [which tests] [compare-with-branch];
  For example: @dgl-bot run g4dn.4xlarge all dmlc/master or @dgl-bot run c5.9xlarge kernel,api dmlc/master

[dgl-bot]

Commit ID: e701fd1

Build ID: 1

Status: ✅ CI test succeeded.

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