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