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perf(cuda): fuse RMSNorm and RoPE in Sol-H3-VAE - #2323
Sol now passes the Q/K views of the QKV projection directly to RMSNorm instead of copying them first, and the CUDA backend fuses the non-affine RMSNorm with the following partial RoPE. The kernel preserves the reduction order and rounding of the separate ops.
Tested on an RTX 5070 Ti Laptop GPU (sm_120) with CUDA 13.4. Decoding an 864×480, 56-frame clip took 13% less time on average than master. CUDA output is byte-for-byte identical to master with fusion on or off, and CPU and Vulkan outputs also match master.
The CUDA backend adds a non-affine RMSNorm-to-RoPE fusion for eligible F32 inputs with 64 channels. The SOL attention path now uses a QKV projection method that applies RMS normalization and RoPE to Q and K.
Changes: CUDA RoPE fusion and SOL projection
Layer / File(s)
Summary
Non-affine CUDA RMSNorm–RoPE fusion src/core/cuda/rope.cu, docs/ggml_extensions.md
The CUDA kernel and graph handling support an eligible two-node non-affine RMSNorm-to-RoPE fusion. The documentation describes its input requirements and distinguishes it from affine fusion.
SOL attention projection src/model/vae/minimax_h3_vae.hpp
DecoderAttention adds project_sol to apply RMS normalization and RoPE to Q and K. The SOL callback uses it; the non-SOL path still uses project.
leejet/stable-diffusion.cpp#2253 — Moves CUDA RoPE kernels and fusion rules into the backend extension implementation continued here.
Suggested reviewers:leejet
Merge Risk: Minimal · up to e8671
No actionable merge-blocking issue was established; the change is ready for normal merge checks.
Pre-merge checks: 4 · 1
Failed checks: 1 warning
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Docstring Coverage
Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentat…
Write docstrings for the functions missing them to satisfy the coverage threshold.
Passed checks: 4 passed
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Title check
The title clearly identifies the CUDA RMSNorm-and-RoPE fusion and its performance focus for Sol-H3-VAE.
Description check
The description includes all required template sections, explains the change, links related work, reports testing and performance results, and completes the checklist.
Linked Issues check
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Out of Scope Changes check
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Full details: Docstring Coverage
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Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentation-only edits and deletions within surviving functions are included; unchanged diff context and fully deleted functions are excluded. Analyzed 6 functions across 2 files. (1 skipped: 1 unsupported.)
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Write docstrings for the functions missing them to satisfy the coverage threshold.
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Files selected for processing: 3
docs/ggml_extensions.md
src/core/cuda/rope.cu
src/model/vae/minimax_h3_vae.hpp
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Summary
Sol now passes the Q/K views of the QKV projection directly to RMSNorm instead of copying them first, and the CUDA backend fuses the non-affine RMSNorm with the following partial RoPE. The kernel preserves the reduction order and rounding of the separate ops.
Related Issue / Discussion
Follow-up to #2317.
Additional Information
Tested on an RTX 5070 Ti Laptop GPU (sm_120) with CUDA 13.4. Decoding an 864×480, 56-frame clip took 13% less time on average than master. CUDA output is byte-for-byte identical to master with fusion on or off, and CPU and Vulkan outputs also match master.
Checklist
Summary by CodeRabbit