global base image update (#39)

* update to new cuda version and new code-server * update to new cuda version and new code-server * fix typos * fix rt version * update deepl * fix typo * flair messes with pytorch? * cleanup and potential fix for deepl deps * update base image for all labs images * update swi prolog version * revert to old image
fhswf · Aug 30, 2024 · c130e48 · c130e48
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commit c130e48
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diff --git a/base-images/vscode/Dockerfile b/base-images/vscode/Dockerfile
@@ -25,21 +25,22 @@ FROM nocuda as cuda
 USER root
 
 ENV NVARCH x86_64
-ENV CUDA_VERSION 11.7.1
-ENV NVIDIA_REQUIRE_CUDA "cuda>=12.1 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526"
-ENV NV_CUDA_COMPAT_PACKAGE cuda-compat-12-1
+ENV CUDA_VERSION 12.5
+
+ENV NVIDIA_REQUIRE_CUDA "cuda>=12.5 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551"
+ENV NV_CUDA_CUDART_VERSION 12.5.82-1
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
     gnupg2 curl ca-certificates && \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && \
-    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && \
+    curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && \
+    dpkg -i cuda-keyring_1.1-1_all.deb && \
     apt-get purge --autoremove -y curl \
     && rm -rf /var/lib/apt/lists/*
 
-# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
+## For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    cuda-cudart-11-7 \
-    ${NV_CUDA_COMPAT_PACKAGE} \
+    cuda-cudart-12-5=${NV_CUDA_CUDART_VERSION} \
+    cuda-compat-12-5 \
     && rm -rf /var/lib/apt/lists/*
 
 # Required for nvidia-docker v1
@@ -78,27 +79,27 @@ FROM cuda as cuda-runtime
 
 USER root
 
-ENV NV_CUDA_LIB_VERSION 11.7.1-1
+ENV NV_CUDA_LIB_VERSION 12.5.1-1
 
-ENV NV_NVTX_VERSION 11.7.91-1
-ENV NV_LIBNPP_VERSION 11.7.4.75-1
-ENV NV_LIBNPP_PACKAGE libnpp-11-7=${NV_LIBNPP_VERSION}
-ENV NV_LIBCUSPARSE_VERSION 11.7.4.91-1
+ENV NV_NVTX_VERSION 12.5.82-1
+ENV NV_LIBNPP_VERSION 12.3.0.159-1
+ENV NV_LIBNPP_PACKAGE libnpp-12-5=${NV_LIBNPP_VERSION}
+ENV NV_LIBCUSPARSE_VERSION 12.5.1.3-1
 
-ENV NV_LIBCUBLAS_PACKAGE_NAME libcublas-11-7
-ENV NV_LIBCUBLAS_VERSION 11.10.3.66-1
+ENV NV_LIBCUBLAS_PACKAGE_NAME libcublas-12-5
+ENV NV_LIBCUBLAS_VERSION 12.5.3.2-1
 ENV NV_LIBCUBLAS_PACKAGE ${NV_LIBCUBLAS_PACKAGE_NAME}=${NV_LIBCUBLAS_VERSION}
 
 ENV NV_LIBNCCL_PACKAGE_NAME libnccl2
-ENV NV_LIBNCCL_PACKAGE_VERSION 2.13.4-1
-ENV NCCL_VERSION 2.13.4-1
-ENV NV_LIBNCCL_PACKAGE ${NV_LIBNCCL_PACKAGE_NAME}=${NV_LIBNCCL_PACKAGE_VERSION}+cuda11.7
+ENV NV_LIBNCCL_PACKAGE_VERSION 2.22.3-1
+ENV NCCL_VERSION 2.22.3-1
+ENV NV_LIBNCCL_PACKAGE ${NV_LIBNCCL_PACKAGE_NAME}=${NV_LIBNCCL_PACKAGE_VERSION}+cuda12.5
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    cuda-libraries-11-7=${NV_CUDA_LIB_VERSION} \
+    cuda-libraries-12-5=${NV_CUDA_LIB_VERSION} \
     ${NV_LIBNPP_PACKAGE} \
-    cuda-nvtx-11-7=${NV_NVTX_VERSION} \
-    libcusparse-11-7=${NV_LIBCUSPARSE_VERSION} \
+    cuda-nvtx-12-5=${NV_NVTX_VERSION} \
+    libcusparse-12-5=${NV_LIBCUSPARSE_VERSION} \
     ${NV_LIBCUBLAS_PACKAGE} \
     ${NV_LIBNCCL_PACKAGE} \
     && rm -rf /var/lib/apt/lists/*
@@ -120,9 +121,9 @@ FROM cuda-runtime as cuda-cudnn
 
 USER root
 
-ENV NV_CUDNN_VERSION 8.5.0.96
-ENV NV_CUDNN_PACKAGE_NAME "libcudnn8"
-ENV NV_CUDNN_PACKAGE "libcudnn8=$NV_CUDNN_VERSION-1+cuda11.7"
+ENV NV_CUDNN_VERSION 9.2.1.18-1
+ENV NV_CUDNN_PACKAGE_NAME libcudnn9-cuda-12
+ENV NV_CUDNN_PACKAGE libcudnn9-cuda-12=${NV_CUDNN_VERSION}
 
 LABEL com.nvidia.cudnn.version="${NV_CUDNN_VERSION}"
 
@@ -131,6 +132,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} \
     && rm -rf /var/lib/apt/lists/*
 
+
 # conda LD_LIBRARY_PATH contains conflicting packages 
 #ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CONDA_DIR}/lib/
 RUN echo LD_LIBRARY_PATH="${LD_LIBRARY_PATH}" >> /etc/environment 
@@ -159,79 +161,109 @@ FROM cuda-cudnn as cuda-devel
 
 USER root
 
-ENV NV_CUDA_LIB_VERSION "11.7.1-1"
+ENV NV_CUDA_LIB_VERSION "12.5.1-1"
 
-ENV NV_CUDA_CUDART_DEV_VERSION 11.7.99-1
-ENV NV_NVML_DEV_VERSION 11.7.91-1
-ENV NV_LIBCUSPARSE_DEV_VERSION 11.7.4.91-1
-ENV NV_LIBNPP_DEV_VERSION 11.7.4.75-1
-ENV NV_LIBNPP_DEV_PACKAGE libnpp-dev-11-7=${NV_LIBNPP_DEV_VERSION}
+ENV NV_CUDA_CUDART_DEV_VERSION 12.5.82-1
+ENV NV_NVML_DEV_VERSION 12.5.82-1
+ENV NV_LIBCUSPARSE_DEV_VERSION 12.5.1.3-1
+ENV NV_LIBNPP_DEV_VERSION 12.3.0.159-1
+ENV NV_LIBNPP_DEV_PACKAGE libnpp-dev-12-5=${NV_LIBNPP_DEV_VERSION}
 
-ENV NV_LIBCUBLAS_DEV_VERSION 11.10.3.66-1
-ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME libcublas-dev-11-7
+ENV NV_LIBCUBLAS_DEV_VERSION 12.5.3.2-1
+ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME libcublas-dev-12-5
 ENV NV_LIBCUBLAS_DEV_PACKAGE ${NV_LIBCUBLAS_DEV_PACKAGE_NAME}=${NV_LIBCUBLAS_DEV_VERSION}
 
-ENV NV_NVPROF_VERSION 11.7.101-1
-ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-11-7=${NV_NVPROF_VERSION}
+ENV NV_CUDA_NSIGHT_COMPUTE_VERSION 12.5.1-1
+ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE cuda-nsight-compute-12-5=${NV_CUDA_NSIGHT_COMPUTE_VERSION}
+
+ENV NV_NVPROF_VERSION 12.5.82-1
+ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-12-5=${NV_NVPROF_VERSION}
 
 ENV NV_LIBNCCL_DEV_PACKAGE_NAME libnccl-dev
-ENV NV_LIBNCCL_DEV_PACKAGE_VERSION 2.13.4-1
-ENV NCCL_VERSION 2.13.4-1
-ENV NV_LIBNCCL_DEV_PACKAGE ${NV_LIBNCCL_DEV_PACKAGE_NAME}=${NV_LIBNCCL_DEV_PACKAGE_VERSION}+cuda11.7
+ENV NV_LIBNCCL_DEV_PACKAGE_VERSION 2.22.3-1
+ENV NCCL_VERSION 2.22.3-1
+ENV NV_LIBNCCL_DEV_PACKAGE ${NV_LIBNCCL_DEV_PACKAGE_NAME}=${NV_LIBNCCL_DEV_PACKAGE_VERSION}+cuda12.5
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    libtinfo5 libncursesw5 \
-    cuda-cudart-dev-11-7=${NV_CUDA_CUDART_DEV_VERSION} \
-    cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION} \
-    cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION} \
-    cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION} \
-    cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION} \
+    cuda-cudart-dev-12-5=${NV_CUDA_CUDART_DEV_VERSION} \
+    cuda-command-line-tools-12-5=${NV_CUDA_LIB_VERSION} \
+    cuda-minimal-build-12-5=${NV_CUDA_LIB_VERSION} \
+    cuda-libraries-dev-12-5=${NV_CUDA_LIB_VERSION} \
+    cuda-nvml-dev-12-5=${NV_NVML_DEV_VERSION} \
     ${NV_NVPROF_DEV_PACKAGE} \
     ${NV_LIBNPP_DEV_PACKAGE} \
-    libcusparse-dev-11-7=${NV_LIBCUSPARSE_DEV_VERSION} \
+    libcusparse-dev-12-5=${NV_LIBCUSPARSE_DEV_VERSION} \
     ${NV_LIBCUBLAS_DEV_PACKAGE} \
     ${NV_LIBNCCL_DEV_PACKAGE} \
+    ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} \
     && rm -rf /var/lib/apt/lists/*
 
+# cudnn devel
+ENV NV_CUDNN_VERSION 9.2.1.18-1
+ENV NV_CUDNN_PACKAGE_NAME libcudnn9-cuda-12
+ENV NV_CUDNN_PACKAGE libcudnn9-cuda-12=${NV_CUDNN_VERSION}
+ENV NV_CUDNN_PACKAGE_DEV libcudnn9-dev-cuda-12=${NV_CUDNN_VERSION}
 
-# Install TensorRT
-ENV NV_TRT_VERSION 8.5.3
-ENV NV_TENSOR_RT_TAG 8.5.3-1+cuda11.8 
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ${NV_CUDNN_PACKAGE} \
+    ${NV_CUDNN_PACKAGE_DEV} \
+    && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} \
+    && rm -rf /var/lib/apt/lists/*
+
+# extra Install TensorRT
+ENV NV_TRT_VERSION 10.3.0
+# version="10.x.x.x-1+cudax.x"
+ENV NV_TENSOR_RT_TAG 10.3.0.26-1+cuda12.5 
 ENV OS_RELEASE ubuntu2204
 
 # easy repo add
 RUN apt-get update && apt-get install -y software-properties-common 
 
 ## Theese might change unexpectedly
+# developer nvidia repo: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/
 RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
 RUN mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/7fa2af80.pub
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
 RUN apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates
 RUN curl -sSL 'http://keyserver.ubuntu.com/pks/lookup?op=get&search=0x536F8F1DE80F6A35' | gpg --import
 RUN curl -sSL 'http://keyserver.ubuntu.com/pks/lookup?op=get&search=0xA4B469963BF863CC' | gpg --import
-RUN add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"
-RUN apt-get update
 RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
 RUN add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"
 RUN apt-get update
 
-RUN apt-get install -y libcudnn8-dev=8.5.0.96-1+cuda11.7
-RUN apt-get install -y libnvinfer8=${NV_TENSOR_RT_TAG} \
-    libnvinfer-plugin8=${NV_TENSOR_RT_TAG} \
+RUN apt-get install -y \
+    libnvinfer-bin=${NV_TENSOR_RT_TAG} \
     libnvinfer-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-dispatch-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-dispatch10=${NV_TENSOR_RT_TAG} \
+    libnvinfer-headers-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-headers-plugin-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-lean-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-lean10=${NV_TENSOR_RT_TAG} \
     libnvinfer-plugin-dev=${NV_TENSOR_RT_TAG} \
-    libnvonnxparsers8=${NV_TENSOR_RT_TAG} \
+    libnvinfer-plugin10=${NV_TENSOR_RT_TAG} \
+    libnvinfer-samples=${NV_TENSOR_RT_TAG} \
+    libnvinfer-vc-plugin-dev=${NV_TENSOR_RT_TAG} \
+    libnvinfer-vc-plugin10=${NV_TENSOR_RT_TAG} \
+    libnvinfer10=${NV_TENSOR_RT_TAG} \
     libnvonnxparsers-dev=${NV_TENSOR_RT_TAG} \
-    libnvparsers8=${NV_TENSOR_RT_TAG} \
-    libnvparsers-dev=${NV_TENSOR_RT_TAG} \
+    libnvonnxparsers10=${NV_TENSOR_RT_TAG} \
+    python3-libnvinfer-dev=${NV_TENSOR_RT_TAG} \
+    python3-libnvinfer-dispatch=${NV_TENSOR_RT_TAG} \
+    python3-libnvinfer-lean=${NV_TENSOR_RT_TAG} \
+    python3-libnvinfer=${NV_TENSOR_RT_TAG} \
+    tensorrt-dev=${NV_TENSOR_RT_TAG} \
+    tensorrt-libs=${NV_TENSOR_RT_TAG} \
+    tensorrt=${NV_TENSOR_RT_TAG} \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
 # trick tf to use newer rt version
-RUN ln -s /usr/lib/x86_64-linux-gnu/libnvinfer.so.8 /usr/lib/x86_64-linux-gnu/libnvinfer.so.7 \
-    && ln -s /usr/lib/x86_64-linux-gnu/libnvinfer_plugin.so.8 /usr/lib/x86_64-linux-gnu/libnvinfer_plugin.so.7 \
-    && ln -s /usr/lib/x86_64-linux-gnu/libnvonnxparser.so.8 /usr/lib/x86_64-linux-gnu/libnvonnxparser.so.7 \
-    && ln -s /usr/lib/x86_64-linux-gnu/libnvparsers.so.8 /usr/lib/x86_64-linux-gnu/libnvparsers.so.7
+#RUN ln -s /usr/lib/x86_64-linux-gnu/libnvinfer.so.8 /usr/lib/x86_64-linux-gnu/libnvinfer.so.7 \
+#    && ln -s /usr/lib/x86_64-linux-gnu/libnvinfer_plugin.so.8 /usr/lib/x86_64-linux-gnu/libnvinfer_plugin.so.7 \
+#    && ln -s /usr/lib/x86_64-linux-gnu/libnvonnxparser.so.8 /usr/lib/x86_64-linux-gnu/libnvonnxparser.so.7 \
+#    && ln -s /usr/lib/x86_64-linux-gnu/libnvparsers.so.8 /usr/lib/x86_64-linux-gnu/libnvparsers.so.7
+#not sure if still required
 
 # Keep apt from auto upgrading the cublas and nccl packages. See https://gitlab.com/nvidia/container-images/cuda/-/issues/88
 RUN apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME}
@@ -259,7 +291,7 @@ RUN apt-get update && \
     rm -rf /var/lib/apt/lists/*
 
 #  Code Server server-proxy/vscode-proxy from https://coder.com/docs/code-server/latest
-ENV CODE_VERSION=4.13.0
+ENV CODE_VERSION=4.92.2 
 
 ENV CODE_BUILTIN_EXTENSIONS_DIR=/usr/lib/code-server/lib/vscode/extensions/
 ENV PATH=/opt/code-server/bin:$PATH \

diff --git a/images/PKI/Dockerfile b/images/PKI/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME pki

diff --git a/images/compilerbau/Dockerfile b/images/compilerbau/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME compilerbau

diff --git a/images/deepml/Dockerfile b/images/deepml/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-cuda-devel:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-cuda-devel:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME deepml
@@ -55,19 +55,21 @@ USER $NB_UID
 # prevent TF from allocating all VRAM
 ENV TF_FORCE_GPU_ALLOW_GROWTH true
 
-# Install PyTorch
-RUN pip install \
-    torch==2.0.0+cu117 torchvision==0.15.1+cu117 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu117 \
-    && rm -rf /tmp/* $HOME/.cache
+#RUN pip install flair && rm -rf /tmp/* $HOME/.cache
 
 # Install Huggingface tensorflow and other libraries
 RUN pip install \
-    nvidia-cudnn-cu11==8.5.0.96 tensorflow==2.11.* mysql-connector-python keras-tuner pymysql \
-    librosa gradio wandb Cython==0.29.36 flair \ 
+    nvidia-cudnn-cu12==9.2.1.18 tensorflow==2.17.* mysql-connector-python keras-tuner pymysql \
+    librosa gradio wandb Cython==0.29.36 \ 
     transformers datasets tokenizers evaluate adapter-transformers diffusers[torch] accelerate \
-    nltk gensim jiwer audiofile opencv-python tiktoken \
+    nltk gensim flair jiwer audiofile opencv-python tiktoken \
     && rm -rf /tmp/* $HOME/.cache
 
+# Install PyTorch
+RUN pip install \
+    torch==2.4.0+cu124 torchvision==0.19.0+cu124 torchaudio==2.4.0+cu124 --index-url https://download.pytorch.org/whl/cu124
+    #torch==2.0.0+cu117 torchvision==0.15.1+cu117 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu117 \
+
 # spacy needs Cython==0.29.36 for now to compile
 # see https://github.com/explosion/spaCy/discussions/12941
 RUN pip install \
@@ -78,7 +80,7 @@ RUN pip install \
     && rm -rf /tmp/* $HOME/.cache
 
 RUN pip install \
-    spacy==3.0.6 \
+    spacy==3.7.6 \
     --no-build-isolation \
     && rm -rf /tmp/* $HOME/.cache
 

diff --git a/images/eml/Dockerfile b/images/eml/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME eml

diff --git a/images/fulp/Dockerfile b/images/fulp/Dockerfile
@@ -230,8 +230,8 @@ RUN mkdir -p /tmp/hls && cd /tmp/hls \
 
 ENV LANG C.UTF-8
 RUN set -eux \
-    && SWIPL_VER=9.1.10 \
-    && SWIPL_CHECKSUM=16c0d014510f5e0c3b427d2842cac89fea0d4c136caabbeb698d578ee8126870 \
+    && SWIPL_VER=9.1.22 \
+    #&& SWIPL_CHECKSUM=16c0d014510f5e0c3b427d2842cac89fea0d4c136caabbeb698d578ee8126870 \
     && BUILD_DEPS='make cmake ninja-build gcc g++ wget git autoconf libarchive-dev libgmp-dev libossp-uuid-dev libxext-dev libice-dev libjpeg-dev libxinerama-dev libxft-dev libxpm-dev libxt-dev libpcre2-dev ncurses-dev  libreadline-dev libedit-dev libssl-dev zlib1g-dev libdb-dev unixodbc-dev libgoogle-perftools-dev libyaml-dev' \
     && apt-get update \
     && apt-get install -y --no-install-recommends $BUILD_DEPS \
@@ -240,8 +240,8 @@ RUN set -eux \
     && mkdir /tmp/src \
     && cd /tmp/src \
     && wget -q https://www.swi-prolog.org/download/devel/src/swipl-$SWIPL_VER.tar.gz \
-    && echo "$SWIPL_CHECKSUM  swipl-$SWIPL_VER.tar.gz" >> swipl-$SWIPL_VER.tar.gz-CHECKSUM \
-    && sha256sum -c swipl-$SWIPL_VER.tar.gz-CHECKSUM \
+    #&& echo "$SWIPL_CHECKSUM  swipl-$SWIPL_VER.tar.gz" >> swipl-$SWIPL_VER.tar.gz-CHECKSUM \
+    #&& sha256sum -c swipl-$SWIPL_VER.tar.gz-CHECKSUM \
     && tar -xzf swipl-$SWIPL_VER.tar.gz \
     && mkdir swipl-$SWIPL_VER/build \
     && cd swipl-$SWIPL_VER/build \

diff --git a/images/grader/Dockerfile b/images/grader/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME grader

diff --git a/images/java/Dockerfile b/images/java/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-minimal-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-minimal-nocuda:sha-f7a5a4b
 
 FROM $BASE_CONTAINER
 

diff --git a/images/skriptsprachen/Dockerfile b/images/skriptsprachen/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-4dd0f7a
+ARG BASE_CONTAINER=ghcr.io/fhswf/jupyterhub-k8s/vscode-scipy-nocuda:sha-f7a5a4b
 FROM $BASE_CONTAINER
 ARG BASE_CONTAINER
 ENV BUILD_IMAGE_NAME skriptsprachen