Docker/Accelerated Python: Ensure the correct nsys and ncu are on the path.

Author: brycelelbach

tutorials/accelerated-python/brev/dockerfile

@@ -36,7 +36,7 @@ RUN curl -L -O https://developer.nvidia.com/downloads/assets/tools/secure/nsight
  && curl -L -O https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
  && dpkg -i nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
  && rm -f nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
- && update-alternatives --install /usr/bin/ncu ncu /opt/nvidia/nsight-compute/2025.2.1/ncu 20250201
+ && echo "export PATH=\"/opt/nsight-systems-cli/2025.3.1/bin:/opt/nvidia/nsight-compute/2025.2.1:${PATH}\"" >> ~/.bashrc
 
 # Install PyTorch with CUDA 12.8 support.
 RUN pip install --no-cache-dir --root-user-action=ignore \