[quant][pt2e] Add documentation for pt2 export static quant #2504
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Summary: att Test Plan: visual inspection Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2504
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9e3850d: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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A few editorial suggestions. Can you please also add pt2e_quant_ptq_static to https://github.com/pytorch/tutorials/blob/main/prototype_source/prototype_index.rst
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svekars
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Jul 27, 2023
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@pytorchbot rebase |
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svekars
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Jul 27, 2023
fix the html
svekars
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Jul 27, 2023
fix the html
jerryzh168
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Jul 27, 2023
| **Author**: `Jerry Zhang <https://github.com/jerryzh168>`_ | ||
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| This tutorial introduces the steps to do post training static quantization in graph mode based on | ||
| `torch._export.export <https://pytorch.org/docs/main/export.html>`_. Compared to `FX Graph Mode Quantization <https://pytorch.org/tutorials/prototype/fx_graph_mode_ptq_static.html>`, this flow is expected to have significantly higher model coverage (`88% on 14K models <https://github.com/pytorch/pytorch/issues/93667#issuecomment-1601171596>`), better programmability, and a simplified UX. |
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@svekars looks like you are making some final updates, could you add _ to "FX Graph Mode Quantization <https://pytorch.org/tutorials/prototype/fx_graph_mode_ptq_static.html>" as well?
svekars
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Jul 28, 2023
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