Add tutorial about inductor caching #2952
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2952
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit 985d438 with merge base f2b8a1b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
svekars
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Jun 20, 2024
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Approved from the publishing perspective but someone with technical expertise should approve as well. |
masnesral
reviewed
Jun 20, 2024
| Introduction | ||
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| PyTorch Inductor implements several caches to reduce compilation latency. These caches are transparent to the user. |
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nit: Is "These caches are transparent to the user" relevant here? I'd just remove it.
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You could say something like: These caching mechanisms operate seamlessly, requiring no user intervention.
masnesral
reviewed
Jun 20, 2024
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| TORCHINDUCTOR_FX_GRAPH_CACHE | ||
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | ||
| This setting enables the local FX graph cache feature, i.e., by storing artifacts on the host’s temp directory. ``1`` enables, and any other value disables it. By default, the disk location is per username, but users can enable sharing across usernames by specifying ``TORCHINDUCTOR_CACHE_DIR`` (below). |
masnesral
reviewed
Jun 20, 2024
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| TORCHINDUCTOR_FX_GRAPH_REMOTE_CACHE | ||
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | ||
| This setting enables the remote FX graph cache feature. The current implementation uses Redis. ``1`` enables caching, and any other value disables. The following environment variables configure the host and port of the Redis server: |
masnesral
approved these changes
Jun 20, 2024
ghstack-source-id: 2c70215fd150e2a16abc55fe1ff8b1e7639e50c9 Pull Request resolved: #2951
masnesral
approved these changes
Jun 20, 2024
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