Merge pull request #119 from NVIDIA/dev2.9

Dev2.9

README.md

@@ -51,7 +51,7 @@ cd data-science-stack
 ```
 
 On Windows Subsystem for Linux (WSL):
-_Note: This functionality is alpha only until WSL v2 becomes production ready_
+_Note: This functionality is alpha only (and containers only) until WSL v2 becomes production ready_
 Follow the [install instructions](https://docs.nvidia.com/cuda/wsl-user-guide/index.html) to install WSL v2 with CUDA support.
 Then, create a a Ubuntu or RHEL VM, open a terminal, and follow OS-specific instructions above.
 
@@ -69,7 +69,7 @@ This creates and runs Jupyter in the container. Users can then connect
 with the Jupyter notebook running at <http://localhost:8888/>
 Control-C to exit.
 
-To mount data or code into your contianer, see
+To mount data or code into your container, see
 [How do I mount data into containers?](#How-do-i-mount-data-into-containers)
 below.
 
@@ -195,10 +195,12 @@ Customer Portal using Red Hat Subscription-Manager for further information -
 <https://access.redhat.com/solutions/253273>
 
 ### Windows Subsystem for Linux (WSL v2)
-_Note: This functionality is alpha only until WSL v2 becomes production ready_
+_Note: This functionality is alpha only (and containers only) until WSL v2 becomes production ready_
 
 Follow the [install instructions](https://docs.nvidia.com/cuda/wsl-user-guide/index.html) for WSL v2 with CUDA support.
-Then, create a a Ubuntu or RHEL VM, open a terminal, and follow OS-specific instructions above.
+Then, create a Ubuntu or RHEL VM, open a terminal, and follow OS-specific instructions above.
+
+_Note: WSL v2 currently requires CUDA 11.0, while data science stack 2.9.0 is based on CUDA 11.2. Therefore, WSL v2 is supported via containers only.
 
 ## Installing the NVIDIA GPU Driver
 

data-science-stack

@@ -3,11 +3,11 @@
 # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
 
 # Global Paramaters
-STACK_VERSION=2.8.0
-NOTEBOOKS_VERSION=0.18
+STACK_VERSION=2.9.0
+NOTEBOOKS_VERSION=21.06
 
-MIN_DRIVER=460.39
-MIN_CUDA=11.0.228
+MIN_DRIVER=465.27
+MIN_CUDA=11.2.152
 MIN_DOCKER=20.10.3
 MIN_CONDA=4.8.3
 
@@ -216,13 +216,13 @@ EOF
     sudo add-apt-repository -y ppa:graphics-drivers/ppa
     sudo apt-get -y update
     sudo apt-get -y upgrade
-    sudo apt-get -y install nvidia-driver-460
+    sudo apt-get -y install nvidia-driver-465
     sudo apt-get -y autoremove
     REBOOT=1
   elif [ $OS_FLAVOR$OS_RELEASE_MAJOR = "rhel8" ]; then
     sudo dnf config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo
     sudo dnf install -y kernel-devel-$(uname -r) kernel-headers-$(uname -r)
-    sudo dnf -y module install nvidia-driver:460-dkms
+    sudo dnf -y module install nvidia-driver:465-dkms
     # REBOOT not necessary
   else
     nvlog "Automated NVIDIA driver install on $OS_FLAVOR $OS_RELEASE_FULL is not supported."
@@ -285,7 +285,9 @@ EOF
 
 
 detect_cuda () {
-  if [ -f /usr/local/cuda/version.txt ]; then
+  if [ -f /usr/local/cuda/version.json ]; then
+    CUDA_VER=$(jq -r ".cuda.version" /usr/local/cuda/version.json 2>/dev/null)
+  elif [ -f /usr/local/cuda/version.txt ]; then
     CUDA_VER=$(cat /usr/local/cuda/version.txt | awk '{ print $3 }' 2> /dev/null)
     if [ $? -ne 0 ]; then
       CUDA_VER=0
@@ -315,31 +317,31 @@ install_cuda () {
       sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
       sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
       sudo apt-get update
-      sudo apt-get -y install cuda-toolkit-11-0
+      sudo apt-get -y install cuda-toolkit-11-2
     else
       curl https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin \
         -o cuda.pin
       sudo mv cuda.pin /etc/apt/preferences.d/cuda-repository-pin-600
       sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
       sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
       sudo apt-get update
-      sudo apt-get -y install cuda-toolkit-11-0
+      sudo apt-get -y install cuda-toolkit-11-2
     fi
   else
     if [ $OS_FLAVOR$OS_RELEASE_MAJOR = "rhel7" ]; then
       sudo yum-config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
       sudo yum clean all
-      sudo yum install -y cuda-toolkit-11-0
+      sudo yum install -y cuda-toolkit-11-2
     else
       sudo dnf config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo
       sudo dnf clean all
-      sudo dnf -y install cuda-toolkit-11-0
+      sudo dnf -y install cuda-toolkit-11-2
     fi
   fi
   set +e
 
   echo "export PATH=/usr/local/cuda/bin/:\$PATH # DATA-SCIENCE-STACK-ADDED" >> ${HOME}/.bashrc
-  echo "export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64:/lib:\$LD_LIBRARY_PATH # DATA-SCIENCE-STACK-ADDED" >> ${HOME}/.bashrc
+  echo "export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64:/lib:\$LD_LIBRARY_PATH # DATA-SCIENCE-STACK-ADDED" >> ${HOME}/.bashrc
   source ${HOME}/.bashrc
 
   nvlog "END Installing CUDA"
@@ -464,7 +466,8 @@ install_docker () {
 
     sudo yum install -y \
       docker-ce \
-      nvidia-container-toolkit
+      nvidia-container-toolkit \
+      iptables
     sudo systemctl enable docker
     if [ "$WSL" = true ] 
     then
@@ -633,8 +636,7 @@ create_conda_env () {
     jupyter labextension install -y --clean \
       @jupyter-widgets/jupyterlab-manager \
       jupyter-threejs \
-      dask-labextension \
-      jupyterlab-nvdashboard
+      dask-labextension
 
   nvlog "END Setup Conda Env"
   nvlog "Next you can run: ${SCRIPT_NAME} run-jupyter"
@@ -1370,8 +1372,17 @@ case "$1" in
   run-notebook)
     if [ $# -ne 2 ]; then
       nvlog "Usage: ${SCRIPT_NAME} run-notebook <notebook-file>"
+    else
+      if [ ! -f "$2" ]; then
+        nvlog "Notebook $2 not found"
+      else
+       if [ $CONDA_VER != "0" ];then
+         run_notebook $2
+       else
+         nvlog "Conda not detected. Please run create-conda-env first"
+       fi
+      fi
     fi;
-    run_notebook $2
     ;;
 
   run-notebook-dir)

data-science-stack.Dockerfile

@@ -1,7 +1,7 @@
 # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
 
 ARG DOCKER_REPO=nvcr.io/nvidia/cuda
-ARG CUDA_VERSION=11.0
+ARG CUDA_VERSION=11.2.2
 ARG OS_FLAVOR=devel-ubuntu20.04
 FROM ${DOCKER_REPO}:${CUDA_VERSION}-${OS_FLAVOR}
 
@@ -32,9 +32,9 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get update -y --fix-missing \
 
 # Create Base environment
 
-ARG STACK_VERSION=2.8.0
+ARG STACK_VERSION=2.9.0
 ARG CONDA_VERSION=4.8.3
-ARG NOTEBOOKS_VERSION=0.18
+ARG NOTEBOOKS_VERSION=21.06
 
 ENV CONDA_ROOT=/conda
 ENV NOTEBOOKS_DIR=/notebooks
@@ -68,8 +68,7 @@ RUN ${CONDA_ROOT}/bin/conda env create -n data-science-stack-${STACK_VERSION} \
       jupyter labextension install -y --clean \
         @jupyter-widgets/jupyterlab-manager \
         jupyter-threejs \
-        dask-labextension \
-        jupyterlab-nvdashboard' \
+        dask-labextension' \
     && ${CONDA_ROOT}/bin/conda clean -afy \
     && find ${CONDA_ROOT} -follow -type f -name '*.pyc' -delete \
     && find ${CONDA_ROOT} -follow -type f -name '*.js.map' -delete

environments/README.md

@@ -18,7 +18,7 @@ that library versions will change over time.
 
 ## Problems while pinning
 
-Satisfying the constraings in your .env file may not be possible, in which
+Satisfying the constraints in your .env file may not be possible, in which
 case the pin command will fail.
 
 To make this (very common) problem easier to solve, the command to generate
@@ -31,7 +31,7 @@ including what constraints cannot be satisfied.
 The file is part of the command used by the `data-science-stack` script to
 generate pinned configurations.
 The file should contain only the channels and packages, one per line.
-Packages with version restictions should have double quotes around them.
+Packages with version restrictions should have double quotes around them.
 
     -c channel-1
     -c channel-2