Update aoti tutorial #3224
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Update aoti tutorial #3224
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3224
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit cf0aca5 with merge base d4c1e74 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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desertfire
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| # | ||
| # - ``torch._inductor.aot_compile`` generates a shared library. This is useful for model | ||
| # versioning for deployments and tracking model performance over time. | ||
| # - With :func:`torch.compile` being a JIT compiler, there is a warmup |
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This is particularly true if a user wants to apply max-autotune, so it's worth to mention here.
| # Once this requirement is met, the primary use case for using AOTInductor Python Runtime is for | ||
| # model deployment using Python. | ||
| # There are mainly two reasons why you would use AOTInductor Python Runtime: | ||
| # There are mainly two reasons why one would use AOTInductor with a Python Runtime: |
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Duplicate of the last section?
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agunapal
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svekars
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LGTM! Let's wait until 2.6 is available in main and merge into main not into 2.6-RC-TEST - I will follow up on that. |
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Fixes #ISSUE_NUMBER
Description
Updated AOTI tutorial with new packaging APIs
Checklist