V1.6 cuda 12.0 ubuntu 22.04

.build/Dockerfile

@@ -434,6 +434,13 @@ RUN pip install --no-cache-dir nvidia-pyindex && \
 
 # reinstall nvcc with cuda-nvcc to install ptax
 USER $NB_UID
+# These need to be two separate pip install commands, otherwise it will throw an error
+# attempting to resolve the nvidia-cuda-nvcc package at the same time as nvidia-pyindex
+RUN pip install --no-cache-dir nvidia-pyindex && \
+    pip install --no-cache-dir nvidia-cuda-nvcc && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+
 RUN mamba install -c nvidia cuda-nvcc=12.0.140 -y && \
     mamba clean --all -f -y && \
     fix-permissions $CONDA_DIR && \

README.md

@@ -85,40 +85,42 @@ for creating and maintaining a robust Python, R, and Julia toolstack for Data Sc
    You can optionally set a password in [http://localhost:8848/login](http://localhost:8848/login) or as described [below](#change-the-password) (former default password `gpu-jupyter`).
 Additionally, data within the host's `data` directory is shared with the container.
 
-    Note that the following images of GPU-Jupyter are available on [Dockerhub](https://hub.docker.com/r/cschranz/gpu-jupyter):
+    The following images of GPU-Jupyter are available on [Dockerhub](https://hub.docker.com/r/cschranz/gpu-jupyter):
      - `v1.6_cuda-12.0_ubuntu-22.04` (full image)
      - `v1.6_cuda-12.0_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
      - `v1.6_cuda-12.0_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
      - `v1.6_cuda-11.8_ubuntu-22.04` (full image)
      - `v1.6_cuda-11.8_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
      - `v1.6_cuda-11.8_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.6_cuda-11.6_ubuntu-20.04` (full image)
-     - `v1.6_cuda-11.6_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.6_cuda-11.6_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.5_cuda-12.0_ubuntu-22.04` (full image)
-     - `v1.5_cuda-12.0_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.5_cuda-12.0_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.5_cuda-11.8_ubuntu-22.04` (full image)
-     - `v1.5_cuda-11.8_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.5_cuda-11.8_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.5_cuda-11.6_ubuntu-20.04` (full image)
-     - `v1.5_cuda-11.6_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.5_cuda-11.6_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.4_cuda-11.6_ubuntu-20.04` (full image)
-     - `v1.4_cuda-11.6_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.4_cuda-11.6_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.4_cuda-11.2_ubuntu-20.04` (full image)
-     - `v1.4_cuda-11.2_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.4_cuda-11.2_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.4_cuda-11.0_ubuntu-20.04` (full image)
-     - `v1.4_cuda-11.0_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.4_cuda-11.0_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.4_cuda-11.0_ubuntu-18.04` (full image)
-     - `v1.4_cuda-11.0_ubuntu-18.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.4_cuda-11.0_ubuntu-18.04_slim` (only with a python interpreter and without additional packages)
-     - `v1.4_cuda-10.1_ubuntu-18.04` (full image)
-     - `v1.4_cuda-10.1_ubuntu-18.04_python-only` (only with a python interpreter and without Julia and R)
-     - `v1.4_cuda-10.1_ubuntu-18.04_slim` (only with a python interpreter and without additional packages)
+
+    <details>
+    <summary><font color=blue> Older images</font></summary>
+
+    - `v1.5_cuda-12.0_ubuntu-22.04` (full image)
+    - `v1.5_cuda-12.0_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.5_cuda-12.0_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.5_cuda-11.8_ubuntu-22.04` (full image)
+    - `v1.5_cuda-11.8_ubuntu-22.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.5_cuda-11.8_ubuntu-22.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.5_cuda-11.6_ubuntu-20.04` (full image)
+    - `v1.5_cuda-11.6_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.5_cuda-11.6_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.4_cuda-11.6_ubuntu-20.04` (full image)
+    - `v1.4_cuda-11.6_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.4_cuda-11.6_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.4_cuda-11.2_ubuntu-20.04` (full image)
+    - `v1.4_cuda-11.2_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.4_cuda-11.2_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.4_cuda-11.0_ubuntu-20.04` (full image)
+    - `v1.4_cuda-11.0_ubuntu-20.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.4_cuda-11.0_ubuntu-20.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.4_cuda-11.0_ubuntu-18.04` (full image)
+    - `v1.4_cuda-11.0_ubuntu-18.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.4_cuda-11.0_ubuntu-18.04_slim` (only with a python interpreter and without additional packages)
+    - `v1.4_cuda-10.1_ubuntu-18.04` (full image)
+    - `v1.4_cuda-10.1_ubuntu-18.04_python-only` (only with a python interpreter and without Julia and R)
+    - `v1.4_cuda-10.1_ubuntu-18.04_slim` (only with a python interpreter and without additional packages)
+    </details>
 
    The version, e.g. `v1.6`, declares the version of the generator setup.
    The Cuda version, e.g. `cuda-12.0`, must match the CUDA driver version and be supported by the GPU libraries.
@@ -144,7 +146,7 @@ The following commands will start *GPU-Jupyter* on [localhost:8848](http://local
 git clone https://github.com/iot-salzburg/gpu-jupyter.git
 cd gpu-jupyter
 git branch  # Check for extisting branches
-git checkout v1.6_cuda-12.0_ubuntu-22.04  # select or create a new version
+git checkout v1.6_cuda-11.8_ubuntu-22.04  # select or create a new version
 # generate the Dockerfile with python and without Julia and R (see options: --help)
 ./generate-Dockerfile.sh --python-only
 docker build -t gpu-jupyter .build/  # will take a while
@@ -232,9 +234,9 @@ Some useful packages are suggested in the [Extension docs](https://jupyterlab.re
 If you notice that an important package is missing in the default stack, please let us know so we can update it.
 
 
-### Authentification
+### Authorization
 
-### Set a Static Token
+#### Set a Static Token
 
 Jupyter by default regenerates a new token on each new start.
 GPU-Jupyter provides the environment variable `JUPYTER_TOKEN` to set a customized static token.
@@ -243,6 +245,7 @@ It is suggested to use a long token such as a UUID:
 
 ```bash
 export JUPYTER_TOKEN=$(uuidgen)
+echo $JUPYTER_TOKEN
 ```
 
  - For Docker add the parameter `-e JUPYTER_TOKEN=${JUPYTER_TOKEN}`, e.g.:
@@ -254,7 +257,9 @@ export JUPYTER_TOKEN=$(uuidgen)
 - In `docker-compose.yml`, the environment variable can be set under
  `ENVIRONMENT`:
 
-    `NB_GID: ${JUPYTER_GID:-1000}`
+    `JUPYTER_TOKEN: ${JUPYTER_TOKEN}`
+
+    Please note that environment variables might not be accessable for all docker-compose versions. Consider to setting `JUPYTER_TOKEN` in a separate `.env`-file and using `env_file` in docker-compose or a hard-coded token.
 
 The static token can be requested using `docker exec`:
 ```bash

custom/gpulibs.Dockerfile

@@ -51,6 +51,13 @@ RUN pip install --no-cache-dir nvidia-pyindex && \
 
 # reinstall nvcc with cuda-nvcc to install ptax
 USER $NB_UID
+# These need to be two separate pip install commands, otherwise it will throw an error
+# attempting to resolve the nvidia-cuda-nvcc package at the same time as nvidia-pyindex
+RUN pip install --no-cache-dir nvidia-pyindex && \
+    pip install --no-cache-dir nvidia-cuda-nvcc && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+
 RUN mamba install -c nvidia cuda-nvcc=12.0.140 -y && \
     mamba clean --all -f -y && \
     fix-permissions $CONDA_DIR && \

generate-Dockerfile.sh

@@ -175,7 +175,7 @@ fi
 cp -r extra/Getting_Started data
 chmod -R 755 data/
 
-# set static token
+# set static token (optional if set)
 # copy jupyter server config token addendum to .build
 cp custom/jupyter_server_config_token_addendum.py .build/
 # append token config into the jupyter server config