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chore(deps): bump node from c601a46 to a25c993 in /docker (#506)

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dependabot[bot]
2026-07-13 19:52:46 +08:00
committed by GitHub
parent 30d36d7949
commit a39b3fe47f
2 changed files with 5 additions and 5 deletions
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docker/Dockerfile
+3 -3
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@@ -27,7 +27,7 @@ RUN CGO_ENABLED=0 GOOS=$TARGETOS GOARCH=$TARGETARCH \
# Run on the native build platform to avoid QEMU crashes with esbuild on
# Apple Silicon. The output (HTML/CSS/JS) is architecture-agnostic so it
# is safe to build on arm64 and copy into the amd64 production layer.
FROM --platform=$BUILDPLATFORM node:22-bookworm@sha256:c601a46abb4d2ab80a9dc3da208d50d1122642d53f17a101926ace71e5a9bf1c AS builder
FROM --platform=$BUILDPLATFORM node:22-bookworm@sha256:a25c9934ff6382cd4f08b6bc26c82bf4ea69b1e6f8dabfb2ead457374127c365 AS builder
RUN corepack enable && corepack prepare pnpm@9.15.4 --activate
@@ -189,7 +189,7 @@ RUN curl -fsSL --retry 3 --retry-delay 5 "https://github.com/strukturag/libheif/
# Stage 3: Platform-specific base images
# Pin tags to specific major.minor for reproducible builds.
# ============================================
FROM node:22-bookworm@sha256:c601a46abb4d2ab80a9dc3da208d50d1122642d53f17a101926ace71e5a9bf1c AS base-linux-arm64
FROM node:22-bookworm@sha256:a25c9934ff6382cd4f08b6bc26c82bf4ea69b1e6f8dabfb2ead457374127c365 AS base-linux-arm64
# CUDA base must match the AI bundles' wheels (torch/paddle/onnxruntime-gpu are all
# cu126) and the libcublas-12-6 install below. It also sets the NVIDIA_REQUIRE_CUDA
# driver gate enforced by nvidia-container-toolkit at container start: a 12.6 base
@@ -199,7 +199,7 @@ FROM nvidia/cuda:12.6.3-cudnn-runtime-ubuntu24.04@sha256:8aef630a54bc5c5146ae5ce
# Node.js donor: provides Node binaries for the CUDA amd64 image without
# relying on NodeSource apt repos or Ubuntu mirrors (which are flaky on CI).
FROM node:22-bookworm@sha256:c601a46abb4d2ab80a9dc3da208d50d1122642d53f17a101926ace71e5a9bf1c AS node-bins
FROM node:22-bookworm@sha256:a25c9934ff6382cd4f08b6bc26c82bf4ea69b1e6f8dabfb2ead457374127c365 AS node-bins
# ============================================
# Stage 4: Production runtime