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Fuse LayerNorm modulation into Triton kernel and remove RoPE dtype casts - #133
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Jordanyang wants to merge 1 commit into
Open
Fuse LayerNorm modulation into Triton kernel and remove RoPE dtype casts #133Jordanyang wants to merge 1 commit into
Jordanyang wants to merge 1 commit into
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Summary
FastLayerNorm.modulate.Motivation
This reduces extra dtype conversion overhead around RoPE and moves the modulation step into the fused LayerNorm kernel path, avoiding separate scale/shift operations after normalization.
Changes
turbodiffusion/ops/core.pyto support fused LayerNorm modulation.turbodiffusion/rcm/networks/wan2pt1.pyto use the fused modulation path and remove RoPE dtype casts.turbodiffusion/rcm/networks/wan2pt2.pyto use the same fused modulation path and remove RoPE dtype casts.Validation