[docs] torch.compile blog post #11837
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sayakpaul
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Jul 1, 2025
| @@ -174,11 +174,18 @@ Feel free to open an issue if dynamic compilation doesn't work as expected for a | |||
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| ### Regional compilation | |||
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| [Regional compilation](https://docs.pytorch.org/tutorials/recipes/regional_compilation.html) trims cold-start latency by only compiling the *small and frequently-repeated block(s)* of a model - typically a transformer layer - and enables reusing compiled artifacts for every subsequent occurrence. | |||
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Actually regional compilation is preferred this way (with compile_repeated_blocks()). So, I would keep it as is.
| @@ -296,3 +307,7 @@ An input is projected into three subspaces, represented by the projection matric | |||
| ```py | |||
| pipeline.fuse_qkv_projections() | |||
| ``` | |||
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| ## Resources | |||
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Will support huggingface/flux-fast#10 and Kontext is already supported.
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Light refactor of the regional compilation docs and adds the https://pytorch.org/blog/presenting-flux-fast-making-flux-go-brrr-on-h100s/ blog post.