fix: switch to cu126 index, move torch to [object] extra, update CUDA 12.6 base

Dockerfile

@@ -1,63 +1,59 @@
-# =============================================================================
+# ── Platform-conditional base image ──────────────────────────────────────
-# Stage 1: Base — platform-specific base image
+#   amd64:  NVIDIA CUDA 12.6 runtime (matches cu126 torch wheels)
-# =============================================================================
+#   arm64:  Plain Ubuntu (CPU-only; no CUDA on ARM64)
-# amd64:  NVIDIA CUDA runtime (for GPU acceleration)
-# arm64:  Plain Ubuntu (no CUDA on ARM; CPU or media-kit only)
 
-FROM --platform=$BUILDPLATFORM nvidia/cuda:12.4.1-runtime-ubuntu22.04 AS base-amd64
+FROM --platform=$BUILDPLATFORM nvidia/cuda:12.6.3-runtime-ubuntu22.04 AS base-amd64
 FROM --platform=$BUILDPLATFORM ubuntu:22.04 AS base-arm64
 
-# =============================================================================
+# ── Build stage ───────────────────────────────────────────────────────────
-# Stage 2: Build — install system packages + Python + uv
-# =============================================================================
 ARG TARGETARCH
 
 FROM base-${TARGETARCH} AS build
 
 ENV DEBIAN_FRONTEND=noninteractive
 
+# Certificates + curl
 RUN apt-get update && apt-get install -y --no-install-recommends \
     ca-certificates \
     curl \
     gnupg \
     && rm -rf /var/lib/apt/lists/*
 
+# Python 3.12 + system libs
 RUN apt-get update && apt-get install -y --no-install-recommends \
     software-properties-common \
     && add-apt-repository ppa:deadsnakes/ppa -y \
     && apt-get update && apt-get install -y --no-install-recommends \
     python3.12 python3.12-venv python3.12-dev \
-    libgl1 libglib2.0-0 libxext6 git g++ tini \
+    libgl1 libglib2.0-0 libxext6 g++ tini \
     && rm -rf /var/lib/apt/lists/* \
     && ln -sf /usr/bin/python3.12 /usr/bin/python3
 
+# Install uv
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh \
     && cp /root/.local/bin/uv /usr/local/bin/uv
 
 WORKDIR /app
 
-# Copy project files first (for layer caching)
+# Copy project files for deterministic, cached builds
-COPY pyproject.toml uv.lock* ./
+COPY pyproject.toml uv.lock ./
 COPY if_curator/ if_curator/
 COPY entrypoint.sh scheduler.py ./
 
-# Platform-conditional Python deps:
+# Install dependencies — uv resolves per-platform via tool.uv.sources markers
-#   amd64:  install GPU extras (onnxruntime-gpu + CUDA torch)
+#   amd64:  --extra gpu --extra object  → CUDA torch + onnxruntime-gpu
-#   arm64:  install CPU-only (onnxruntime + torch-cpu)
+#   arm64:  --extra object              → CPU torch + onnxruntime
-RUN if [ "$(uname -m)" = "x86_64" ]; then \
+RUN if [ "$TARGETARCH" = "amd64" ]; then \
-      uv sync --extra gpu --extra object && uv add croniter; \
+      uv sync --extra gpu --extra object; \
     else \
-      uv sync --extra object --no-binary torch && \
+      uv sync --extra object; \
-      UV_TORCH_INDEX_URL=https://download.pytorch.org/whl/cpu uv pip install torch && \
-      uv add croniter; \
     fi \
+    && uv add croniter \
     && uv cache clean
 
 RUN chmod +x /app/entrypoint.sh
 
-# =============================================================================
+# ── Runtime stage ─────────────────────────────────────────────────────────
-# Stage 3: Runtime — minimal image with appuser
-# =============================================================================
 FROM build AS runtime
 
 RUN groupadd -g 568 apps && useradd -u 568 -g apps -m -s /bin/bash appuser \

pyproject.toml

@@ -36,11 +36,32 @@ gpu = [
     "onnxruntime-gpu>=1.23.2",
 ]
 object = [
-    "torch>=2.9.1",
+    "torch>=2.6.0",
     "transformers>=4.57.6",
     "ultralytics>=8.3.252",
 ]
 
+# ── Per-platform PyTorch index configuration ──
+#   linux/amd64  → CUDA 12.6 wheels (latest PyTorch)
+#   linux/arm64  → CPU-only wheels
+#   other        → CPU-only wheels
+[tool.uv.sources]
+torch = [
+    { index = "pytorch-cu126", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
+    { index = "pytorch-cpu", marker = "sys_platform == 'linux' and platform_machine == 'aarch64'" },
+    { index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
+]
+
+[[tool.uv.index]]
+name = "pytorch-cu126"
+url = "https://download.pytorch.org/whl/cu126"
+explicit = true
+
+[[tool.uv.index]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
+
 [dependency-groups]
 dev = [
     "pytest>=8.0",
@@ -71,6 +92,7 @@ transformers = "transformers"
 ultralytics = "ultralytics"
 
 [tool.deptry.per_rule_ignores]
+# onnxruntime-gpu is an optional dep that replaces onnxruntime at runtime
 DEP002 = ["onnxruntime-gpu"]
 
 [build-system]