Use CMake 3.31.10 with nsync patch (matching working PR #1718)

Author: alexnorell

docker/dockerfiles/Dockerfile.onnx.jetson.6.2.0

@@ -3,7 +3,7 @@
 FROM nvcr.io/nvidia/l4t-jetpack:r36.4.0 AS builder
 
 ARG DEBIAN_FRONTEND=noninteractive
-ARG CMAKE_VERSION=3.28.6
+ARG CMAKE_VERSION=3.31.10
 ARG PYTORCH_VERSION=2.8.0
 ARG TORCHVISION_VERSION=0.23.0
 ARG OPENCV_VERSION=4.10.0
@@ -140,10 +140,11 @@ RUN uv pip install --system --break-system-packages --index-strategy unsafe-best
     packaging \
     && rm -rf ~/.cache/uv
 
-# Build onnxruntime with numpy 2.x
+# Build onnxruntime-gpu from source with TensorRT support
 WORKDIR /build/onnxruntime
 RUN git clone --recursive --branch v${ONNXRUNTIME_VERSION} https://github.com/microsoft/onnxruntime.git && \
     cd onnxruntime && \
+    sed -i 's/be8be39fdbc6e60e94fa7870b280707069b5b81a/32b145f525a8308d7ab1c09388b2e288312d8eba/g' cmake/deps.txt && \
     ./build.sh \
         --config Release \
         --build_dir build/cuda12 \
@@ -162,7 +163,7 @@ RUN git clone --recursive --branch v${ONNXRUNTIME_VERSION} https://github.com/mi
         --allow_running_as_root \
         --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES="87" \
         --cmake_extra_defines onnxruntime_BUILD_UNIT_TESTS=OFF && \
-    python3 -m pip install build/cuda12/Release/dist/onnxruntime_gpu-*.whl
+    python3 -m pip install --break-system-packages build/cuda12/Release/dist/onnxruntime_gpu-*.whl
 
 # Build inference packages
 WORKDIR /build/inference