Use cpu-only torch for faster installation

[harupy]

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Use cpu-only torch to speed up package installation. pip install torch installs torch and dependencies for CUDA and takes long, but pip install torch --extra-index-url=https://download.pytorch.org/whl/cpu doesn't.

How is this patch tested?

• Existing unit/integration tests
• New unit/integration tests
• Manual tests (describe details, including test results, below)

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Release Notes

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What component(s), interfaces, languages, and integrations does this PR affect?

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[WeichenXu123]

LGTM

[harupy]

CPU-only torch is installed:

https://github.com/mlflow/mlflow/actions/runs/5875329411/job/15931448114?pr=9340#step:6:701

  Downloading https://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp38-cp38-linux_x86_64.whl (195.4 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 195.4/195.4 MB 6.9 MB/s eta 0:00:00
Collecting torchvision>=0.12.0 (from -r requirements/extra-ml-requirements.txt (line 15))

[harupy]

Test: https://github.com/mlflow/mlflow/actions/runs/5875455302