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implement VRAM usage warning, enable Linux CUDA backend support, and optimize flash attention flags.

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howwonder committed 2026-06-14 12:00:32 +05:30
1 parent 74b0c3ba46
commit 54f4809990
6 files changed
+343 -142
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app/frontend/package-lock.json
Generated
+115 -115
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"resolved": "https://registry.npmjs.org/@rollup/rollup-win32-x64-msvc/-/rollup-win32-x64-msvc-4.62.0.tgz",
"integrity": "sha512-5L+T1fMX4RIEBoZzT0+sQ0PhTS36NULFmMXtl1TZo44TMAROIMHbZufSOjVWt/Y622BtxgxtaNOokbTDvfsrZA==",
"cpu": [
"x64"
],
@@ -1461,9 +1461,9 @@
}
},
"node_modules/baseline-browser-mapping": {
"version": "2.10.34",
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.34.tgz",
"integrity": "sha512-IMDedajPifLnHNY0X9n8hKxRTQ6/eTHwr5bDo04WnuqxyKw6LYtQywCuuqPZwhl3aBXMvQpJov42GLCwRRdQzw==",
"version": "2.10.37",
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.37.tgz",
"integrity": "sha512-girxaJ7WZssDOFhzCGZTDKoTa1gk6A1TbflaYTpykLJ4UU9Fz9kx1aREM8JCuoVHbL8X8T/mJg7w2oYSq72Oig==",
"dev": true,
"license": "Apache-2.0",
"bin": {
@@ -1508,9 +1508,9 @@
}
},
"node_modules/caniuse-lite": {
"version": "1.0.30001797",
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001797.tgz",
"integrity": "sha512-l8xKG+gwAIExZGl9FrF7KUwuOmk6wbEPC9Xoy/RtnWv1XG0Q4LFlagaLpUv3Kiza3W/wm27zy0yWJEieYKAP6w==",
"version": "1.0.30001799",
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001799.tgz",
"integrity": "sha512-hG1bReV+OUU+MOqK4t/ZWI0tZOyz3rqS9XuhOUz1cIcbwBKjOyJEJuw9ER5JuNyqxNk8u/JUVbGibBOL1yrjFw==",
"dev": true,
"funding": [
{
@@ -1554,9 +1554,9 @@
}
},
"node_modules/electron-to-chromium": {
"version": "1.5.370",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.370.tgz",
"integrity": "sha512-D5tSHJReAb/Kf3Hu9F/GO4lJuSWzEWHwvQ/kKSUP7pimNgvxkSKj+gUQhHpKKACwrin7rS3byU7IxreF56rl5g==",
"version": "1.5.372",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.372.tgz",
"integrity": "sha512-M3yhbAlilnwqC8D21t28UCDGHyitShTmmLRU/H+b74P6Ski16Nb9HONYEaVpMj/pwC7BEo5B95FpjODLCWbtfA==",
"dev": true,
"license": "ISC"
},
@@ -1699,9 +1699,9 @@
}
},
"node_modules/lucide-react": {
"version": "1.17.0",
"resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-1.17.0.tgz",
"integrity": "sha512-9FA9evdox/JQL5PT57fdA1x/yg8T7knJ98+zjTL3UfKza6pflQUUh3XtaQIHKvnsJw1lmsEyHVlt5jchYxOQ5w==",
"version": "1.18.0",
"resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-1.18.0.tgz",
"integrity": "sha512-LZDb7H/0YfM+RJncD0hDQRCAu+vSGODqpe35TuVI8EuXaRjkczbsx7p8dY4J87F/MUSj6bpYqeI8nw8qXaAdmA==",
"license": "ISC",
"peerDependencies": {
"react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0"
@@ -1824,9 +1824,9 @@
}
},
"node_modules/rollup": {
"version": "4.61.1",
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.61.1.tgz",
"integrity": "sha512-I4KW6iuRpuu2uHBLraZ1wNZe0DP7lnRha+VJ9tNaYVaVgKhW0aI3h4RYnoRPeql0flHm/Co55b7snEDcOfOJrA==",
"version": "4.62.0",
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.62.0.tgz",
"integrity": "sha512-nc72Wgq62I7rtDV4izT5/aaS0zxy3kttkinf9586ApknY3jZO9NYsmtc24fUckA0X7Q2v+ML4a15pdUlV5V/jA==",
"dev": true,
"license": "MIT",
"dependencies": {
@@ -1840,31 +1840,31 @@
"npm": ">=8.0.0"
},
"optionalDependencies": {
"@rollup/rollup-android-arm-eabi": "4.61.1",
"@rollup/rollup-android-arm64": "4.61.1",
"@rollup/rollup-darwin-arm64": "4.61.1",
"@rollup/rollup-darwin-x64": "4.61.1",
"@rollup/rollup-freebsd-arm64": "4.61.1",
"@rollup/rollup-freebsd-x64": "4.61.1",
"@rollup/rollup-linux-arm-gnueabihf": "4.61.1",
"@rollup/rollup-linux-arm-musleabihf": "4.61.1",
"@rollup/rollup-linux-arm64-gnu": "4.61.1",
"@rollup/rollup-linux-arm64-musl": "4.61.1",
"@rollup/rollup-linux-loong64-gnu": "4.61.1",
"@rollup/rollup-linux-loong64-musl": "4.61.1",
"@rollup/rollup-linux-ppc64-gnu": "4.61.1",
"@rollup/rollup-linux-ppc64-musl": "4.61.1",
"@rollup/rollup-linux-riscv64-gnu": "4.61.1",
"@rollup/rollup-linux-riscv64-musl": "4.61.1",
"@rollup/rollup-linux-s390x-gnu": "4.61.1",
"@rollup/rollup-linux-x64-gnu": "4.61.1",
"@rollup/rollup-linux-x64-musl": "4.61.1",
"@rollup/rollup-openbsd-x64": "4.61.1",
"@rollup/rollup-openharmony-arm64": "4.61.1",
"@rollup/rollup-win32-arm64-msvc": "4.61.1",
"@rollup/rollup-win32-ia32-msvc": "4.61.1",
"@rollup/rollup-win32-x64-gnu": "4.61.1",
"@rollup/rollup-win32-x64-msvc": "4.61.1",
"@rollup/rollup-android-arm-eabi": "4.62.0",
"@rollup/rollup-android-arm64": "4.62.0",
"@rollup/rollup-darwin-arm64": "4.62.0",
"@rollup/rollup-darwin-x64": "4.62.0",
"@rollup/rollup-freebsd-arm64": "4.62.0",
"@rollup/rollup-freebsd-x64": "4.62.0",
"@rollup/rollup-linux-arm-gnueabihf": "4.62.0",
"@rollup/rollup-linux-arm-musleabihf": "4.62.0",
"@rollup/rollup-linux-arm64-gnu": "4.62.0",
"@rollup/rollup-linux-arm64-musl": "4.62.0",
"@rollup/rollup-linux-loong64-gnu": "4.62.0",
"@rollup/rollup-linux-loong64-musl": "4.62.0",
"@rollup/rollup-linux-ppc64-gnu": "4.62.0",
"@rollup/rollup-linux-ppc64-musl": "4.62.0",
"@rollup/rollup-linux-riscv64-gnu": "4.62.0",
"@rollup/rollup-linux-riscv64-musl": "4.62.0",
"@rollup/rollup-linux-s390x-gnu": "4.62.0",
"@rollup/rollup-linux-x64-gnu": "4.62.0",
"@rollup/rollup-linux-x64-musl": "4.62.0",
"@rollup/rollup-openbsd-x64": "4.62.0",
"@rollup/rollup-openharmony-arm64": "4.62.0",
"@rollup/rollup-win32-arm64-msvc": "4.62.0",
"@rollup/rollup-win32-ia32-msvc": "4.62.0",
"@rollup/rollup-win32-x64-gnu": "4.62.0",
"@rollup/rollup-win32-x64-msvc": "4.62.0",
"fsevents": "~2.3.2"
}
},
app/frontend/src/App.jsx
+2
View File
@@ -467,6 +467,8 @@ function App() {
serverRunning={serverRunning}
setServerRunning={setServerRunning}
constraints={constraints}
setConstraints={setConstraints}
telemetry={telemetry}
backendOptions={backendOptions}
showAlert={showAlert}
showConfirm={showConfirm}
app/frontend/src/components/ModelManager.jsx
+95 -13
View File
@@ -96,7 +96,7 @@ const COREML_MODEL_LIBRARY = [
},
];
function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message), activeTab }) {
function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, setConstraints, telemetry, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message), activeTab }) {
const [localModels, setLocalModels] = useState([]);
const [isLoadingModels, setIsLoadingModels] = useState(true);
const [downloadingModelId, setDownloadingModelId] = useState(null);
@@ -111,6 +111,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
const [isUnloading, setIsUnloading] = useState(false);
const [unloadProgress, setUnloadProgress] = useState({ progress: 0, phase: "" });
const [pendingLoadModel, setPendingLoadModel] = useState(null);
const [vramWarning, setVramWarning] = useState(null);
const [backendInfo, setBackendInfo] = useState({ backendMode: "", backendBinary: "", backendDevice: "" });
const cancelLoadRef = React.useRef(false);
@@ -320,16 +321,39 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
await fetchModels();
};
// Check VRAM and trigger warning or load directly
const checkVramAndLoad = async (modelId) => {
const modelInfo = getLocalModelInfo(modelId);
if (modelInfo && telemetry && telemetry.vram_total_gb > 0) {
const isCpuMode = constraints.backendType === "cpu" || !constraints.useGpu;
const isOpenVino = modelInfo.backendType === "openvino-npu";
if (!isCpuMode && !isOpenVino) {
const freeVramGb = telemetry.vram_total_gb - telemetry.vram_used_gb;
const modelSizeGb = (modelInfo.sizeBytes || 0) / (1024 * 1024 * 1024);
if (modelSizeGb > freeVramGb) {
setVramWarning({
modelId,
modelSizeGb,
freeVramGb,
totalVramGb: telemetry.vram_total_gb,
});
return;
}
}
}
await performLoadModel(modelId);
};
// Start the model server backend
const handleLoadModel = async (modelId) => {
if (activeModel && activeModel !== modelId && serverRunning) {
setPendingLoadModel(modelId);
return;
}
await performLoadModel(modelId);
await checkVramAndLoad(modelId);
};
const performLoadModel = async (modelId) => {
const performLoadModel = async (modelId, forcedConstraints = null) => {
const isTauriDesktop = typeof window !== "undefined" && window.__TAURI_INTERNALS__ !== undefined;
const isLocalServerMode = typeof window !== "undefined" && (window.location.hostname === "localhost" || window.location.hostname === "127.0.0.1");
const backendStatus = await getBackendStatus();
@@ -373,27 +397,28 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
try {
const modelInfo = getLocalModelInfo(modelId);
const isCoreMLModel = modelInfo?.format === "CoreML" || modelInfo?.backendType === "apple-npu";
const activeConstraints = forcedConstraints || constraints;
const loadConstraints = isCoreMLModel
? {
...constraints,
...activeConstraints,
backendType: "apple-npu",
useGpu: true,
width: 512,
height: 512,
steps: constraints.steps || 20,
cfgScale: constraints.cfgScale || 7,
steps: activeConstraints.steps || 20,
cfgScale: activeConstraints.cfgScale || 7,
}
: modelInfo?.backendType === "openvino-npu"
? {
...constraints,
...activeConstraints,
backendType: "openvino-npu",
useGpu: true,
width: constraints.width >= 1024 ? 1024 : 512,
height: constraints.height >= 1024 ? 1024 : 512,
steps: Math.max(1, Math.min(8, constraints.steps || 4)),
cfgScale: constraints.cfgScale || 1,
width: activeConstraints.width >= 1024 ? 1024 : 512,
height: activeConstraints.height >= 1024 ? 1024 : 512,
steps: Math.max(1, Math.min(8, activeConstraints.steps || 4)),
cfgScale: activeConstraints.cfgScale || 1,
}
: constraints;
: activeConstraints;
const response = await startServer(modelId, loadConstraints);
console.log(response);
@@ -466,7 +491,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
setPendingLoadModel(null);
await handleUnloadModel();
if (nextModel) {
await performLoadModel(nextModel);
await checkVramAndLoad(nextModel);
}
};
@@ -989,6 +1014,63 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
</div>
</div>
)}
{vramWarning && (
<div style={{ position: "fixed", inset: 0, zIndex: 100, background: "rgba(0,0,0,0.65)", backdropFilter: "blur(4px)", display: "flex", alignItems: "center", justifyContent: "center", padding: "24px" }}>
<div className="m3-card" style={{ maxWidth: "480px", width: "100%", margin: 0, padding: "24px", border: "1px solid var(--md-sys-color-error)", boxShadow: "0 8px 32px rgba(0, 0, 0, 0.45)", background: "var(--md-sys-color-surface)" }}>
<div style={{ display: "flex", alignItems: "center", gap: "12px", marginBottom: "16px" }}>
<AlertTriangle size={28} style={{ color: "var(--md-sys-color-error)" }} />
<h3 style={{ fontSize: "1.2rem", fontWeight: 700, margin: 0, color: "var(--md-sys-color-on-surface)" }}>VRAM Limit Exceeded</h3>
</div>
<p style={{ fontSize: "0.92rem", color: "var(--md-sys-color-on-surface-variant)", lineHeight: 1.5, marginBottom: "20px", margin: 0 }}>
The model <strong style={{ color: "var(--md-sys-color-on-surface)" }}>{vramWarning.modelId}</strong> is approximately <strong>{vramWarning.modelSizeGb.toFixed(1)} GB</strong>, which exceeds your currently available GPU VRAM of <strong>{vramWarning.freeVramGb.toFixed(1)} GB free</strong> (out of {vramWarning.totalVramGb.toFixed(1)} GB total).
<br /><br />
Loading this model on your GPU may fail, crash the backend, or cause extremely slow generation due to memory spilling.
</p>
<div style={{ display: "flex", justifyContent: "flex-end", gap: "10px", flexWrap: "wrap" }}>
<button
className="m3-btn m3-btn-outlined"
onClick={() => setVramWarning(null)}
>
Cancel
</button>
<button
className="m3-btn m3-btn-tonal"
style={{ borderColor: "var(--md-sys-color-primary)", color: "var(--md-sys-color-primary)" }}
onClick={async () => {
const targetModel = vramWarning.modelId;
setVramWarning(null);
if (setConstraints) {
setConstraints((prev) => ({
...prev,
backendType: "cpu",
useGpu: false,
}));
}
const cpuConstraints = {
...constraints,
backendType: "cpu",
useGpu: false,
};
await performLoadModel(targetModel, cpuConstraints);
}}
>
Load on CPU
</button>
<button
className="m3-btn m3-btn-error"
onClick={async () => {
const targetModel = vramWarning.modelId;
setVramWarning(null);
await performLoadModel(targetModel);
}}
>
Proceed anyway (GPU)
</button>
</div>
</div>
</div>
)}
</div>
);
}
scripts/build_from_source.sh
+1 -1
View File
@@ -139,7 +139,7 @@ cd "$BUILD_DIR"
echo ""
echo "=== Building CUDA Backend ==="
rm -rf build-cuda && mkdir build-cuda && cd build-cuda
cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA_FORCE_MMQ=ON
cmake --build . --config Release -j"$JOBS"
echo "Copying CUDA binaries..."
scripts/serve.cjs
+5 -1
View File
@@ -1484,7 +1484,11 @@ async function startBackend(settings = {}) {
args.push("--vae-on-cpu");
}
if (currentSettings.flashAttn) {
args.push("--fa");
if (requestedBackend === "cuda") {
args.push("--diffusion-fa");
} else {
args.push("--fa");
}
}
}
scripts/setup.sh
+125 -12
View File
@@ -363,16 +363,125 @@ if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "amd" || "$VENDOR" == "" ]]; then
chmod +x "$ROCM_BACKEND_DIR/sd-rocm" "$ROCM_BACKEND_DIR/sd-server-rocm" 2>/dev/null || true
fi
# CUDA backend on Linux is intentionally disabled.
# upstream leejet/stable-diffusion.cpp does not publish official Linux CUDA binaries
# (see https://github.com/leejet/stable-diffusion.cpp/issues/1291), and the only
# third-party build we evaluated (leaxer-ai/leaxer-stable-diffusion v0.1.0) loads
# models but segfaults during generation. Until a reliable Linux CUDA binary is
# available, Linux NVIDIA systems fall back to the Vulkan backend, which uses the
# same GPU via the vendor's Vulkan driver.
if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "nvidia" ]]; then
print_info "Linux CUDA backend is disabled pending a reliable upstream binary."
print_info "NVIDIA GPUs on Linux will use the Vulkan backend instead."
# CUDA backend on Linux: ask user, download prebuilt first, and compile from source as a fallback.
CUDA_BACKEND_DIR="$BACKEND_DIR/cuda"
if [[ "$VENDOR" == "nvidia" ]]; then
if [[ ! -f "$CUDA_BACKEND_DIR/sd-cuda" || ! -f "$CUDA_BACKEND_DIR/sd-server-cuda" ]]; then
echo ""
echo " ============================================================"
echo " NVIDIA GPU Detected"
echo " ============================================================"
echo " To get the best performance, you can use the CUDA backend."
echo " Setting this up can download a prebuilt binary or compile from"
echo " source (which takes 10-15 minutes)."
echo ""
echo " Alternatively, you can use the Vulkan backend which is already"
echo " installed and runs immediately (recommended for GTX cards)."
echo " ============================================================"
echo ""
CHOOSE_CUDA="n"
if [[ -t 0 ]]; then
read -t 30 -rp " Do you want to proceed with CUDA setup? [y/N]: " CHOOSE_CUDA || CHOOSE_CUDA="n"
else
print_info "Non-interactive environment detected; defaulting to Vulkan."
fi
if [[ "$CHOOSE_CUDA" =~ ^[Yy]$ ]]; then
TRY_DOWNLOAD=1
PREBUILT_URL="https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-server-x86_64-unknown-linux-gnu-cuda"
PREBUILT_CLI_URL="https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-x86_64-unknown-linux-gnu-cuda"
mkdir -p "$CUDA_BACKEND_DIR"
print_info "Attempting to download prebuilt CUDA binary..."
if download_file "$PREBUILT_URL" "$CUDA_BACKEND_DIR/sd-server-cuda" "Prebuilt Linux CUDA Server" && \
download_file "$PREBUILT_CLI_URL" "$CUDA_BACKEND_DIR/sd-cuda" "Prebuilt Linux CUDA CLI"; then
chmod +x "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda" 2>/dev/null || true
print_info "Testing downloaded prebuilt CUDA binary..."
if "$CUDA_BACKEND_DIR/sd-server-cuda" --help >/dev/null 2>&1; then
print_ok "Prebuilt CUDA binary verified and works! Skipping compilation."
TRY_DOWNLOAD=0
else
print_warn "Prebuilt CUDA binary failed verification test (missing libraries or library mismatch)."
rm -f "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda"
fi
else
print_warn "Failed to download prebuilt CUDA binary."
rm -f "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda"
fi
if [[ $TRY_DOWNLOAD -eq 1 ]]; then
if command -v nvcc >/dev/null 2>&1 && command -v cmake >/dev/null 2>&1 && command -v git >/dev/null 2>&1; then
print_info "NVIDIA GPU and CUDA compilation tools (nvcc, cmake, git) detected."
print_info "Building CUDA backend from source..."
BUILD_DIR="$TOOLS_DIR/build-sd"
JOBS="$(getconf _NPROCESSORS_ONLN 2>/dev/null || echo 4)"
if [[ ! -d "$BUILD_DIR" ]]; then
print_info "Cloning stable-diffusion.cpp..."
git clone https://github.com/leejet/stable-diffusion.cpp.git "$BUILD_DIR"
fi
PUSHED_DIR="$(pwd)"
cd "$BUILD_DIR"
print_info "Checking out pinned tag $SD_RELEASE..."
git fetch origin
git checkout -f "$SD_RELEASE"
git submodule update --init --recursive
rm -rf build-cuda && mkdir build-cuda && cd build-cuda
print_info "Running cmake for CUDA backend..."
if cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA_FORCE_MMQ=ON && \
cmake --build . --config Release -j"$JOBS"; then
mkdir -p "$CUDA_BACKEND_DIR"
if [[ -f bin/sd-server ]]; then
cp bin/sd-server "$CUDA_BACKEND_DIR/sd-cuda"
cp bin/sd-server "$CUDA_BACKEND_DIR/sd-server-cuda"
else
print_fail "CUDA build succeeded but bin/sd-server was not found."
cd "$PUSHED_DIR"
exit 1
fi
if [[ -f bin/sd ]]; then
cp bin/sd "$CUDA_BACKEND_DIR/sd-cli-cuda"
elif [[ -f bin/sd-cli ]]; then
cp bin/sd-cli "$CUDA_BACKEND_DIR/sd-cli-cuda"
fi
SO_PATH_CUDA=$(find . -name "libstable-diffusion.so" | head -n 1)
if [[ -n "$SO_PATH_CUDA" ]]; then
cp "$SO_PATH_CUDA" "$CUDA_BACKEND_DIR/"
fi
chmod +x "$CUDA_BACKEND_DIR/sd-cuda" "$CUDA_BACKEND_DIR/sd-server-cuda" 2>/dev/null || true
if [[ -f "$CUDA_BACKEND_DIR/sd-cli-cuda" ]]; then
chmod +x "$CUDA_BACKEND_DIR/sd-cli-cuda" 2>/dev/null || true
fi
print_ok "CUDA backend compiled and installed successfully from source."
else
print_warn "CUDA backend build from source failed. Falling back to Vulkan."
fi
cd "$PUSHED_DIR"
else
print_warn "CUDA compilation tools (nvcc, cmake, and/or git) are missing."
print_info "To compile the CUDA backend, install the NVIDIA CUDA Toolkit, cmake, and git."
print_info "Falling back to Vulkan."
fi
fi
else
print_info "Declined CUDA setup. Using Vulkan GPU backend instead."
fi
else
print_ok "CUDA backend already ready."
fi
fi
fi
@@ -396,10 +505,14 @@ fi
if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then
print_info "Migrating existing node_modules to $OS_LABEL..."
mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES"
if [[ -d "$OS_NODE_MODULES" ]]; then
rm -rf "$FRONTEND_NODE_MODULES"
else
mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES"
fi
fi
rm -f "$FRONTEND_NODE_MODULES"
rm -rf "$FRONTEND_NODE_MODULES"
mkdir -p "$OS_NODE_MODULES"
ln -sf "$OS_LABEL" "$FRONTEND_NODE_MODULES"