build: split CUDA Docker images into cuda12 (12.9.x) / cuda13 (13.3.x), fix Blackwell Ultra arch gate (#23)

The CMakeLists.txt >=12.8 CUDA-architecture branch claimed 121a-real
(Blackwell Ultra) alongside 120a-real, but nvcc from CUDA 12.8.1
rejects compute_121 ("nvcc fatal: Unsupported gpu architecture
'compute_121'"). Confirmed against a real build: 12.8.1 compiles
cleanly with 120a-real but not 121a-real; 12.9.2 compiles both. Split
the >=12.8 branch into >=12.9 (full Blackwell + Ultra) and >=12.8
(Blackwell only, no Ultra).

Since no single CUDA toolkit spans the full arch range -- 12.9.x is
the newest 12.x that still emits Pascal (61-real) SASS, 13.x drops
Pascal entirely but is otherwise more current -- the single :cuda
image can no longer serve both audiences. Split it into two CI
variants, :cuda12 (12.9.2, Pascal through Blackwell Ultra) and
:cuda13 (13.3.1, Turing and newer). The Dockerfile's own --target
cuda stage is unchanged; the CUDA_BUILD_IMAGE/CUDA_RUNTIME_IMAGE ARGs
now default to 12.9.2 (was 12.4.1) and the CI matrix overrides them
per variant.

Both variants were build-tested against nvidia/cuda:12.8.1 and 12.9.2
locally and exercised with real end-to-end synthesis requests on an
actual sm_61 card (GTX 1070 Max-Q) -- RTF ~0.4 on both, no kernel
image / arch mismatch errors.

Co-authored-by: Gary <gitea@gerasch.dev>
This commit is contained in:
Stefan Gerasch
2026-08-07 11:26:45 +02:00
committed by GitHub
co-authored by Gary
parent 37d62e42a0
commit a8a7716b53
4 changed files with 83 additions and 19 deletions
+47 -4
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@@ -22,7 +22,21 @@ jobs:
strategy:
fail-fast: false
matrix:
variant: [cpu, cuda, vulkan]
include:
- variant: cpu
target: cpu
# Two CUDA variants: no single toolkit covers both Pascal and
# the newest archs (see CMakeLists.txt).
- variant: cuda12
target: cuda
cuda_build_image: nvidia/cuda:12.9.2-devel-ubuntu22.04
cuda_runtime_image: nvidia/cuda:12.9.2-runtime-ubuntu22.04
- variant: cuda13
target: cuda
cuda_build_image: nvidia/cuda:13.3.1-devel-ubuntu22.04
cuda_runtime_image: nvidia/cuda:13.3.1-runtime-ubuntu22.04
- variant: vulkan
target: vulkan
steps:
- uses: actions/checkout@v7
with:
@@ -54,12 +68,41 @@ jobs:
fi
echo "tags=${tags}" >> "$GITHUB_OUTPUT"
# Only set these for the cuda variants, an empty value breaks cpu/vulkan.
build_args=""
if [ -n "${{ matrix.cuda_build_image }}" ]; then
build_args=$'CUDA_BUILD_IMAGE=${{ matrix.cuda_build_image }}\nCUDA_RUNTIME_IMAGE=${{ matrix.cuda_runtime_image }}'
fi
{
echo "build_args<<BUILD_ARGS_EOF"
echo "$build_args"
echo "BUILD_ARGS_EOF"
} >> "$GITHUB_OUTPUT"
# GHCR cache tag, read on every run; only pushed to when we're
# logged in (not on PR builds).
cache_ref="${image}:buildcache-${variant}"
cache_from=$'type=gha,scope='"$variant"$'\ntype=registry,ref='"$cache_ref"
cache_to="type=gha,mode=max,scope=${variant}"
if [ "${{ github.event_name }}" != "pull_request" ]; then
cache_to="${cache_to}"$'\n'"type=registry,ref=${cache_ref},mode=max"
fi
{
echo "cache_from<<CACHE_FROM_EOF"
echo "$cache_from"
echo "CACHE_FROM_EOF"
echo "cache_to<<CACHE_TO_EOF"
echo "$cache_to"
echo "CACHE_TO_EOF"
} >> "$GITHUB_OUTPUT"
- name: Build and push
uses: docker/build-push-action@v7
with:
context: .
target: ${{ matrix.variant }}
target: ${{ matrix.target }}
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.tags.outputs.tags }}
cache-from: type=gha,scope=${{ matrix.variant }}
cache-to: type=gha,mode=max,scope=${{ matrix.variant }}
build-args: ${{ steps.tags.outputs.build_args }}
cache-from: ${{ steps.tags.outputs.cache_from }}
cache-to: ${{ steps.tags.outputs.cache_to }}
+5 -2
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@@ -51,14 +51,17 @@ endif()
# supported card and doesn't need to seed forward JIT compat for anything
# older, unlike the 75-virtual baseline which does that for 7.5+. CUDA 13
# removed offline compilation for pre-Turing architectures, so 61-real is
# only emitted on 12.x toolkits; Blackwell (120a/121a) needs 12.8+.
# only emitted on 12.x toolkits. Blackwell (120a) needs 12.8+; Blackwell
# Ultra (121a) needs 12.9+ (nvcc 12.8 rejects compute_121).
# Users can override with -DCMAKE_CUDA_ARCHITECTURES=native for local builds.
if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
find_package(CUDAToolkit QUIET)
if(CUDAToolkit_FOUND AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "13.0")
set(CMAKE_CUDA_ARCHITECTURES "75-virtual;80-virtual;86-real;89-real;120a-real;121a-real")
elseif(CUDAToolkit_FOUND AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.8")
elseif(CUDAToolkit_FOUND AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.9")
set(CMAKE_CUDA_ARCHITECTURES "61-real;75-virtual;80-virtual;86-real;89-real;120a-real;121a-real")
elseif(CUDAToolkit_FOUND AND CUDAToolkit_VERSION VERSION_GREATER_EQUAL "12.8")
set(CMAKE_CUDA_ARCHITECTURES "61-real;75-virtual;80-virtual;86-real;89-real;120a-real")
else()
set(CMAKE_CUDA_ARCHITECTURES "61-real;75-virtual;80-virtual;86-real;89-real")
endif()
+8 -2
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@@ -15,9 +15,15 @@
# docker build --target cuda -t qwentts.cpp:cuda \
# --build-arg CMAKE_CUDA_ARCHITECTURES=50 . # Maxwell
# See docs/DOCKER.md for details.
#
# Defaults to the newest CUDA 12.x (widest arch range, see CMakeLists.txt);
# override both ARGs for CUDA 13.x instead, as the cuda13 CI variant does:
# docker build --target cuda -t qwentts.cpp:cuda13 \
# --build-arg CUDA_BUILD_IMAGE=nvidia/cuda:13.3.1-devel-ubuntu22.04 \
# --build-arg CUDA_RUNTIME_IMAGE=nvidia/cuda:13.3.1-runtime-ubuntu22.04 .
ARG CUDA_BUILD_IMAGE=nvidia/cuda:12.4.1-devel-ubuntu22.04
ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:12.4.1-runtime-ubuntu22.04
ARG CUDA_BUILD_IMAGE=nvidia/cuda:12.9.2-devel-ubuntu22.04
ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:12.9.2-runtime-ubuntu22.04
# ---------------------------------------------------------------- CPU build
FROM ubuntu:22.04 AS build-cpu
+23 -11
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@@ -1,9 +1,16 @@
# Docker
Pre-built images: `ghcr.io/serveurpersocom/qwentts.cpp:cpu`,
`:cuda` and `:vulkan` (also tagged per release, e.g. `:cuda-v1.2.3`).
All three run `tts-server`; `qwen-tts` and `qwen-codec` are included in
the same image at `/app/`.
`:cuda12`, `:cuda13` and `:vulkan` (also tagged per release, e.g.
`:cuda12-v1.2.3`). All four run `tts-server`; `qwen-tts` and
`qwen-codec` are included in the same image at `/app/`.
`:cuda12` (CUDA 12.9.x) is built against the widest arch range,
Pascal (sm_61) through Blackwell Ultra (120a/121a); `:cuda13`
(CUDA 13.3.x) covers Turing and newer only -- upstream dropped
offline compilation for pre-Turing architectures in CUDA 13, so a
Pascal/Maxwell card needs `:cuda12`. See `CMakeLists.txt` for the
full per-toolkit-version arch table.
```
docker run --rm -p 8080:8080 \
@@ -22,9 +29,12 @@ docker run --rm --gpus all -p 8080:8080 \
-v /path/to/voices:/voices:ro \
-e MODEL_PATH=/models/qwen-talker-1.7b-base-Q8_0.gguf \
-e CODEC_PATH=/models/qwen-tokenizer-12hz-Q8_0.gguf \
ghcr.io/serveurpersocom/qwentts.cpp:cuda
ghcr.io/serveurpersocom/qwentts.cpp:cuda12
```
Use `:cuda13` instead of `:cuda12` for a newer CUDA toolkit if your
card is Turing (sm_75) or newer -- see the note above.
Vulkan image (AMD/Intel GPUs), passing through the DRI device node:
```
@@ -36,9 +46,9 @@ docker run --rm --device /dev/dri -p 8080:8080 \
```
The `:vulkan` image bundles Mesa's Vulkan drivers (AMD/Intel). On an
NVIDIA GPU, prefer `:cuda`; running `:vulkan` there would additionally
need the host's proprietary NVIDIA Vulkan ICD mounted in, which the
image does not provide.
NVIDIA GPU, prefer `:cuda12` / `:cuda13`; running `:vulkan` there would
additionally need the host's proprietary NVIDIA Vulkan ICD mounted in,
which the image does not provide.
## Entrypoint environment variables
@@ -103,10 +113,12 @@ uses the last stage in the `Dockerfile` (`cuda`).
detect against. This project's own `CMakeLists.txt` already handles
that by defaulting `CMAKE_CUDA_ARCHITECTURES` to a fixed Pascal-and-newer
list (`61-real;75-virtual;80-virtual;86-real;89-real`, plus Blackwell
with CUDA 12.8+) when the variable isn't set, so Pascal cards (sm_61,
e.g. the GTX 10-series) work out of the box with no override. GPUs
older than Pascal (Maxwell and earlier) still need the architecture
passed explicitly:
`120a-real` with CUDA 12.8+ and Blackwell Ultra `121a-real` with CUDA
12.9+) when the variable isn't set, so Pascal cards (sm_61, e.g. the
GTX 10-series) work out of the box with no override -- as long as the
toolkit is 12.x (CUDA 13 dropped Pascal offline compilation entirely,
see `:cuda13` above). GPUs older than Pascal (Maxwell and earlier)
still need the architecture passed explicitly:
```
docker build --target cuda -t qwentts.cpp:cuda \