add rocm-7.2.1-pr21344 toolbox (gfx1151 MMQ/MMVQ tile + nwarp tuning)

Adds a new toolbox variant based on PR #21344 (pedapudi/llama.cpp@gfx1151-opt)
which tunes MMQ tile sizes (x_max=48, y=64) and warp counts (nwarps=4) for
RDNA3_5 gfx1151, yielding up to +100% prefill throughput at small batch sizes.

Also adds BMI2/FMA/F16C CPU SIMD flags and GGML_CUDA_FA_ALL_QUANTS=ON to match
the benchmark build used in the PR. Wire up CI (build matrix + prune), the
refresh script, and run_benchmarks.sh so results land alongside rocm-7.2.1.
This commit is contained in:
Donato Capitella
2026-04-15 09:23:58 +01:00
parent 14fae26ad0
commit 2c2c36d3da
6 changed files with 154 additions and 2 deletions
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@@ -28,7 +28,7 @@ jobs:
IN='${{ inputs.backends }}'
if [[ "$IN" == "all" || -z "$IN" ]]; then
JSON='["rocm-6.4.4","rocm-7.2.1","rocm7-nightlies","vulkan-amdvlk","vulkan-radv"]'
JSON='["rocm-6.4.4","rocm-7.2.1","rocm-7.2.1-pr21344","rocm7-nightlies","vulkan-amdvlk","vulkan-radv"]'
else
# Remove spaces and build JSON array from comma list
IN_CLEAN=$(echo "$IN" | tr -d '[:space:]')
+1 -1
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@@ -44,7 +44,7 @@ jobs:
run: |
IN='${{ github.event.inputs.backends }}'
if [[ "$IN" == "all" || -z "$IN" ]]; then
JSON='["rocm-6.4.2","rocm-6.4.3","rocm-6.4.4","rocm-7.1.1","rocm-7.2","rocm-7.2.1","rocm-7beta","rocm7-nightlies","vulkan-amdvlk","vulkan-radv"]'
JSON='["rocm-6.4.2","rocm-6.4.3","rocm-6.4.4","rocm-7.1.1","rocm-7.2","rocm-7.2.1","rocm-7.2.1-pr21344","rocm-7beta","rocm7-nightlies","vulkan-amdvlk","vulkan-radv"]'
else
IN_CLEAN=$(echo "$IN" | tr -d '[:space:]')
JSON='["'${IN_CLEAN//,/\",\"}'"]'
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@@ -0,0 +1,26 @@
# AI Agent Context: AMD Strix Halo Llama.cpp Toolboxes
**Primary Goal:** This project provides pre-built containers ("toolboxes") for running `llama.cpp` optimally on AMD Ryzen AI Max "Strix Halo" APUs. It simplifies environment setup for ROCm and Vulkan backends, allowing users to leverage up to 124 GiB of unified system memory for LLM inference.
## Core Technologies
* **Containerization**: [Toolbx](https://containertoolbx.org/) (Fedora) or Distrobox (Ubuntu). Underneath, Docker/Podman is used to build base images.
* **Inference Engine**: [Llama.cpp](https://github.com/ggerganov/llama.cpp)
* **Hardware / Drivers**: AMD "Strix Halo" APUs (Gfx1151). Implementations depend on ROCm (v6.4.4, v7.x) and Vulkan (Mesa RADV, AMDVLK).
## Repository Structure Overview
* `/toolboxes/`: Dockerfiles used to build the container images (e.g., `rocm-6.4.4`, `rocm-7.2.1`, `vulkan-radv`). These often use multi-stage builds to compile Llama.cpp and extract standalone binaries.
* `/benchmark/`: Shell scripts and Python utilities (like `generate_results_json.py`) to systematically test Llama.cpp throughput, latency, and RPC performance.
* `/docs/`: Markdown documents, along with HTML/CSS/JS (e.g., `index.html`, `assets/`) for the GitHub Pages website (`strix-halo-toolboxes.com`), plus interactive benchmark viewers and documentation on VRAM estimation.
* `/scripts/`: Python utilities, including `run_distributed_llama.py` for distributed inference across nodes.
* `.github/workflows/`: GitHub Actions that automatically rebuild containers whenever the upstream `llama.cpp` master branch updates or when triggered manually.
## Critical Technical Quirks (Important for Development)
* **Flash Attention & no-mmap**: Running `llama-server` or `llama-cli` on Strix Halo *requires* `-fa 1` (flash attention) and `--no-mmap` to avoid memory fragmentation and crashes.
* **Kernel memory params**: The optimal Strix Halo host configuration relies on custom boot parameters (`iommu=pt amdgpu.gttsize=126976 ttm.pages_limit=32505856`) to allocate unified RAM to the iGPU.
* **ROCm 7+ Workaround**: Due to LLVM compiler regressions, ROCm 7 builds currently use a workaround flag (`-mllvm --amdgpu-unroll-threshold-local=600`) to restore Llama.cpp performance.
* **Kernel Bugs**: Avoid kernels older than 6.18.4, and the specifically broken `linux-firmware-20251125`.
## General Instructions for Coding Agents
1. **Container Builds**: When modifying `Dockerfile.*` files inside `/toolboxes`, ensure the build output remains lean and only necessary runtime dependencies and Llama.cpp binaries are carried over.
2. **Documentation Synchronization**: If adding a new backend or feature, ensure `README.md` is updated simultaneously.
3. **Scripts**: Benchmarking and utility scripts are expected to integrate with standard `toolbox` execution. Use `/dev/dri` and `/dev/kfd` mounts for device access.
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@@ -63,6 +63,7 @@ echo
declare -A CMDS=(
[rocm6_4_4]="toolbox run -c llama-rocm-6.4.4 -- /usr/local/bin/llama-bench"
[rocm-7_2_1]="toolbox run -c llama-rocm-7.2.1 -- /usr/local/bin/llama-bench"
[rocm-7_2_1-pr21344]="toolbox run -c llama-rocm-7.2.1-pr21344 -- /usr/local/bin/llama-bench"
[rocm7-nightlies]="toolbox run -c llama-rocm7-nightlies -- /usr/local/bin/llama-bench"
[vulkan_amdvlk]="toolbox run -c llama-vulkan-amdvlk -- /usr/sbin/llama-bench"
[vulkan_radv]="toolbox run -c llama-vulkan-radv -- /usr/sbin/llama-bench"
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@@ -9,6 +9,7 @@ TOOLBOXES["llama-vulkan-amdvlk"]="docker.io/kyuz0/amd-strix-halo-toolboxes:vulka
TOOLBOXES["llama-vulkan-radv"]="docker.io/kyuz0/amd-strix-halo-toolboxes:vulkan-radv --device /dev/dri --group-add video --security-opt seccomp=unconfined"
TOOLBOXES["llama-rocm-6.4.4"]="docker.io/kyuz0/amd-strix-halo-toolboxes:rocm-6.4.4 --device /dev/dri --device /dev/kfd --group-add video --group-add render --group-add sudo --security-opt seccomp=unconfined"
TOOLBOXES["llama-rocm-7.2.1"]="docker.io/kyuz0/amd-strix-halo-toolboxes:rocm-7.2.1 --device /dev/dri --device /dev/kfd --group-add video --group-add render --group-add sudo --security-opt seccomp=unconfined"
TOOLBOXES["llama-rocm-7.2.1-pr21344"]="docker.io/kyuz0/amd-strix-halo-toolboxes:rocm-7.2.1-pr21344 --device /dev/dri --device /dev/kfd --group-add video --group-add render --group-add sudo --security-opt seccomp=unconfined"
TOOLBOXES["llama-rocm7-nightlies"]="docker.io/kyuz0/amd-strix-halo-toolboxes:rocm7-nightlies --device /dev/dri --device /dev/kfd --group-add video --group-add render --group-add sudo --security-opt seccomp=unconfined"
function usage() {
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# build stage
# Based on Dockerfile.rocm-7.2.1, but clones pedapudi/llama.cpp@gfx1151-opt
# (PR #21344: gfx1151 nwarps, tile sizing to curb VGPR pressure)
FROM registry.fedoraproject.org/fedora:43 AS builder
# rocm 7.2.1 repo
RUN <<'EOF'
tee /etc/yum.repos.d/rocm.repo <<REPO
[ROCm-7.2.1]
name=ROCm7.2.1
baseurl=https://repo.radeon.com/rocm/rhel10/7.2.1/main
enabled=1
priority=50
gpgcheck=1
gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key
REPO
EOF
# deps
RUN dnf -y --nodocs --setopt=install_weak_deps=False \
--exclude='*sdk*' --exclude='*samples*' --exclude='*-doc*' --exclude='*-docs*' \
install \
make gcc cmake lld clang clang-devel compiler-rt libcurl-devel ninja-build \
rocm-llvm rocm-device-libs hip-runtime-amd hip-devel \
rocblas rocblas-devel hipblas hipblas-devel rocm-cmake libomp-devel libomp \
rocminfo radeontop \
git-core vim sudo rsync patch \
&& dnf clean all && rm -rf /var/cache/dnf/*
# rocm env
ENV ROCM_PATH=/opt/rocm \
HIP_PATH=/opt/rocm \
HIP_CLANG_PATH=/opt/rocm/llvm/bin \
HIP_DEVICE_LIB_PATH=/opt/rocm/amdgcn/bitcode \
PATH=/opt/rocm/bin:/opt/rocm/llvm/bin:$PATH
# llama.cpp — PR #21344 fork (gfx1151 MMQ/MMVQ tile + nwarp tuning)
WORKDIR /opt/llama.cpp
ARG REPO=https://github.com/pedapudi/llama.cpp.git
ARG BRANCH=gfx1151-opt
RUN git clone -b ${BRANCH} --single-branch --recursive ${REPO} .
COPY llama-grammar.patch /tmp/llama-grammar.patch
# build
RUN git clean -xdf \
&& git submodule update --recursive \
&& patch -p1 < /tmp/llama-grammar.patch \
&& cmake -S . -B build \
-DGGML_HIP=ON \
-DCMAKE_HIP_COMPILER=${HIP_CLANG_PATH}/clang \
-DCMAKE_HIP_FLAGS="--rocm-path=/opt/rocm -mllvm --amdgpu-unroll-threshold-local=600" \
-DAMDGPU_TARGETS=gfx1151 \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_RPC=ON \
-DLLAMA_HIP_UMA=ON \
-DGGML_CUDA_ENABLE_UNIFIED_MEMORY=ON \
-DGGML_BMI2=ON \
-DGGML_FMA=ON \
-DGGML_F16C=ON \
-DGGML_CUDA_FA_ALL_QUANTS=ON \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DROCM_PATH=/opt/rocm \
-DHIP_PATH=/opt/rocm \
-DHIP_PLATFORM=amd \
&& cmake --build build --config Release -- -j$(nproc) \
&& cmake --install build --config Release
# libs
RUN find /opt/llama.cpp/build -type f -name 'lib*.so*' -exec cp {} /usr/lib64/ \; \
&& ldconfig
# helper
COPY gguf-vram-estimator.py /usr/local/bin/gguf-vram-estimator.py
RUN chmod +x /usr/local/bin/gguf-vram-estimator.py
# runtime stage
FROM registry.fedoraproject.org/fedora-minimal:43
# rocm 7.2.1 repo
RUN <<'EOF'
tee /etc/yum.repos.d/rocm.repo <<REPO
[ROCm-7.2.1]
name=ROCm7.2.1
baseurl=https://repo.radeon.com/rocm/rhel10/7.2.1/main
enabled=1
priority=50
gpgcheck=1
gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key
REPO
EOF
# runtime deps
RUN microdnf -y --nodocs --setopt=install_weak_deps=0 \
--exclude='*sdk*' --exclude='*samples*' --exclude='*-doc*' --exclude='*-docs*' \
install \
bash ca-certificates libatomic libstdc++ libgcc libgomp sudo \
hip-runtime-amd rocblas hipblas \
rocminfo radeontop procps-ng \
&& microdnf clean all && rm -rf /var/cache/dnf/*
# copy
COPY --from=builder /usr/local/ /usr/local/
COPY --from=builder /opt/llama.cpp/build/bin/rpc-* /usr/local/bin/
# ld
RUN echo "/usr/local/lib" > /etc/ld.so.conf.d/local.conf \
&& echo "/usr/local/lib64" >> /etc/ld.so.conf.d/local.conf \
&& ldconfig \
&& cp -n /usr/local/lib/libllama*.so* /usr/lib64/ 2>/dev/null || true \
&& ldconfig
# helper
COPY gguf-vram-estimator.py /usr/local/bin/gguf-vram-estimator.py
RUN chmod +x /usr/local/bin/gguf-vram-estimator.py
# profile
RUN printf '%s\n' \
> /etc/profile.d/rocm.sh && chmod +x /etc/profile.d/rocm.sh \
&& echo 'source /etc/profile.d/rocm.sh' >> /etc/bashrc
# shell
CMD ["/bin/bash"]