Upgrade Python to 3.12 and NodeJS to 24 - example-notebook-servers/

Signed-off-by: Liav Weiss (EXT-Nokia) <[email protected]>

Author: Liav Weiss (EXT-Nokia)

components/example-notebook-servers/codeserver-python/Dockerfile

@@ -18,7 +18,7 @@ ARG CODESERVER_JUPYTER_VERSION=2024.11.0
 ARG IPYKERNEL_VERSION=6.29.5
 ARG MINIFORGE_VERSION=24.11.3-0
 ARG PIP_VERSION=24.3.1
-ARG PYTHON_VERSION=3.11.11
+ARG PYTHON_VERSION=3.12.6
 
 # setup environment for conda
 ENV CONDA_DIR /opt/conda

components/example-notebook-servers/jupyter-tensorflow-cuda/Dockerfile

@@ -14,9 +14,9 @@ ARG TARGETARCH
 #          when updating past that version, either remove all TensorRT related packages,
 #          or investigate if there is a way to keep TensorRT support
 ARG TENSORFLOW_VERSION=2.17.1
-ARG TENSORRT_VERSION=8.6.1.post1
-ARG TENSORRT_LIBS_VERSION=8.6.1
-ARG TENSORRT_BINDINGS_VERSION=8.6.1
+ARG TENSORRT_VERSION=10.2.0
+ARG TENSORRT_LIBS_VERSION=10.2.0
+ARG TENSORRT_BINDINGS_VERSION=10.2.0
 
 # nvidia container toolkit
 # https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html
@@ -26,26 +26,24 @@ ENV NVIDIA_REQUIRE_CUDA "cuda>=12.3"
 
 # install - tensorflow
 #  - About '[and-cuda]' option: https://github.com/tensorflow/tensorflow/blob/v2.17.1/tensorflow/tools/pip_package/setup.py#L153-L164
-#  - TODO: when updating TensorRT, you might need to change `tensorrt`, `tensorrt-libs`, and `tensorrt-bindings`
-#          to `tensorrt-cu12`, `tensorrt-cu12-libs`, and `tensorrt-cu12-bindings` respectively
 RUN python3 -m pip install --quiet --no-cache-dir --extra-index-url https://pypi.nvidia.com \
     tensorflow[and-cuda]==${TENSORFLOW_VERSION} \
-    tensorrt==${TENSORRT_VERSION} \
-    tensorrt-libs==${TENSORRT_LIBS_VERSION} \
-    tensorrt-bindings==${TENSORRT_BINDINGS_VERSION}
+    tensorrt-cu12==${TENSORRT_VERSION} \
+    tensorrt-cu12-libs==${TENSORRT_LIBS_VERSION} \
+    tensorrt-cu12-bindings==${TENSORRT_BINDINGS_VERSION}
 
 # create symlinks for TensorRT libs
 #  - https://github.com/tensorflow/tensorflow/issues/61986#issuecomment-1880489731
 #  - We are creating symlinks for the following libs, as this is where TF looks for them:
-#     - libnvinfer.so.8.6.1 -> libnvinfer.so.8
-#     - libnvinfer_plugin.so.8.6.1 -> libnvinfer_plugin.so.8
-ENV PYTHON_SITE_PACKAGES /opt/conda/lib/python3.11/site-packages
+#     - libnvinfer.so.10.2.0 -> libnvinfer.so.10
+#     - libnvinfer_plugin.so.10.2.0 -> libnvinfer_plugin.so.10
+ENV PYTHON_SITE_PACKAGES /opt/conda/lib/python3.12/site-packages
 ENV TENSORRT_LIBS ${PYTHON_SITE_PACKAGES}/tensorrt_libs
 RUN ln -s ${TENSORRT_LIBS}/libnvinfer.so.${TENSORRT_LIBS_VERSION%%.*} ${TENSORRT_LIBS}/libnvinfer.so.${TENSORRT_LIBS_VERSION} \
  && ln -s ${TENSORRT_LIBS}/libnvinfer_plugin.so.${TENSORRT_LIBS_VERSION%%.*} ${TENSORRT_LIBS}/libnvinfer_plugin.so.${TENSORRT_LIBS_VERSION}
 
 # envs - cudnn, tensorrt
-ENV LD_LIBRARY_PATH ${LD_LIBRARY_PATH}/nvidia/cudnn/lib:${TENSORRT_LIBS}
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}${TENSORRT_LIBS}
 
 # install - requirements.txt
 COPY --chown=${NB_USER}:${NB_GID} requirements.txt /tmp

components/example-notebook-servers/jupyter/Dockerfile

@@ -15,9 +15,9 @@ USER root
 ARG JUPYTERLAB_VERSION=4.3.5
 ARG JUPYTER_VERSION=7.3.2
 ARG MINIFORGE_VERSION=24.11.3-0
-ARG NODE_MAJOR_VERSION=20
+ARG NODE_MAJOR_VERSION=24
 ARG PIP_VERSION=24.3.1
-ARG PYTHON_VERSION=3.11.11
+ARG PYTHON_VERSION=3.12.6
 
 # install -- node.js
 RUN export DEBIAN_FRONTEND=noninteractive \

components/example-notebook-servers/rstudio/Dockerfile

@@ -10,7 +10,7 @@ ARG TARGETARCH
 # args - software versions (python)
 ARG MINIFORGE_VERSION=24.11.3-0
 ARG PIP_VERSION=24.3.1
-ARG PYTHON_VERSION=3.11.11
+ARG PYTHON_VERSION=3.12.6
 
 # args - software versions (R)
 # - rstudio: https://dailies.rstudio.com/release/