chore: vendor sglang v0.5.10 snapshot

third_party/sglang/scripts/ci/cuda/cache_nvidia_wheels.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+# Cache and pre-install nvidia wheels that torch pins.
+#
+# pypi.nvidia.com returns Cache-Control: no-store, so pip re-downloads
+# cudnn (~707 MB) and nvshmem (~125 MB) on every CI run. This script
+# caches the wheels locally and installs them so that the subsequent
+# `pip install -e "python[dev]"` sees "Requirement already satisfied".
+#
+# Integrity: uses `unzip -t` to detect partial/corrupt downloads.
+#
+# Usage: source scripts/ci/cuda/cache_nvidia_wheels.sh
+
+NVIDIA_WHEEL_CACHE="/root/.cache/nvidia-wheels"
+mkdir -p "$NVIDIA_WHEEL_CACHE"
+
+for url in \
+    "https://pypi.nvidia.com/nvidia-cudnn-cu12/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl" \
+    "https://pypi.nvidia.com/nvidia-nvshmem-cu12/nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl"; do
+    whl="$NVIDIA_WHEEL_CACHE/$(basename "$url")"
+    [ -f "$whl" ] && unzip -tq "$whl" &>/dev/null || curl -fL -o "$whl" "$url"
+done
+
+pip install --no-deps "$NVIDIA_WHEEL_CACHE"/nvidia_cudnn_cu12-*.whl \
+    "$NVIDIA_WHEEL_CACHE"/nvidia_nvshmem_cu12-*.whl 2>/dev/null || true