[llama4] add apply_compile for moe, where fullgraph=False for moe layers#1519
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danielvegamyhre merged 1 commit intopytorch:mainfrom Aug 4, 2025
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xmfan
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@tianyu-l i think fullgraph=False is better than compile just not working on main, so good with landing this |
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should do this to dsv3 too
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…ers (pytorch#1519) We should add an `apply_compile` function for llama4 that uses fullgraph=False for MoE layers and fullgraph=True for dense layers. I keep manually applying this hack during development to test compile composability, but IMO we should have this merged and update to use fullgraph=True everywhere once that is supported. cc @xmfan @tianyu-l any thoughts?
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…ers (pytorch#1519) We should add an `apply_compile` function for llama4 that uses fullgraph=False for MoE layers and fullgraph=True for dense layers. I keep manually applying this hack during development to test compile composability, but IMO we should have this merged and update to use fullgraph=True everywhere once that is supported. cc @xmfan @tianyu-l any thoughts?
joellidin
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Aug 8, 2025
…ers (pytorch#1519) We should add an `apply_compile` function for llama4 that uses fullgraph=False for MoE layers and fullgraph=True for dense layers. I keep manually applying this hack during development to test compile composability, but IMO we should have this merged and update to use fullgraph=True everywhere once that is supported. cc @xmfan @tianyu-l any thoughts?
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We should add an
apply_compilefunction for llama4 that uses fullgraph=False for MoE layers and fullgraph=True for dense layers.I keep manually applying this hack during development to test compile composability, but IMO we should have this merged and update to use fullgraph=True everywhere once that is supported.
cc @xmfan @tianyu-l any thoughts?