update batch scripts and slide deck 4

Author: mariojmdavid

docs/udocker/udocker-04.md

@@ -55,24 +55,24 @@ Mario David <david@lip.pt>, Jorge Gomes <jorge@lip.pt>
 Access the ACNCA (former INCD) advanced computing facility at Lisbon using ssh:
 
 ```bash
-ssh -l <username> cirrus.a.incd.pt
+ssh -l <username> cirrus.a.acnca.pt
 module load python
 ```
 
 * The end user can download and execute `udocker` without system administrator intervention.
 * Install from a released version: <https://github.com/indigo-dc/udocker/releases>:
 
 ```bash
-wget https://github.com/indigo-dc/udocker/releases/download/1.3.10/udocker-1.3.10.tar.gz
-tar zxvf udocker-1.3.10.tar.gz
-export PATH=$HOME/udocker-1.3.10/udocker:$PATH
+wget https://github.com/indigo-dc/udocker/releases/download/1.3.17/udocker-1.3.17.tar.gz
+tar zxvf udocker-1.3.17.tar.gz
+export PATH=$HOME/udocker-1.3.17/udocker:$PATH
 ```
 
 ---
 
 ## In the beginning - I
 
-Make a directory for the tutorial and set en variable of `udocker` to that dir:
+Make a directory for the tutorial and set the environment variable of `udocker` to that dir:
 
 ```bash
 mkdir udocker-tutorial
@@ -111,7 +111,7 @@ cp -r tutorials/udocker-files .
 ## Pull a nice image
 
 ```bash
-udocker pull tensorflow/tensorflow:2.11.0-gpu
+udocker pull tensorflow/tensorflow:2.20.0-gpu
 ```
 
 First we create and prepare the container, later we run the actual job, the creation of the container
@@ -139,7 +139,7 @@ Check job status with `squeue`
 Creating a container:
 
 ```bash
-udocker create --name=tf_gpu tensorflow/tensorflow:2.11.0-gpu
+udocker create --name=tf_gpu tensorflow/tensorflow:2.20.0-gpu
 ```
 
 Set the nvidia mode:

udocker-files/prep-keras.sh

@@ -6,7 +6,7 @@
 #SBATCH --gres=gpu
 
 export TUT_DIR=$HOME/udocker-tutorial
-export PATH=$HOME/udocker-1.3.10/udocker:$PATH
+export PATH=$HOME/udocker-1.3.17/udocker:$PATH
 cd $TUT_DIR
 export UDOCKER_DIR=$TUT_DIR/.udocker
 module load python
@@ -20,7 +20,7 @@ echo ">> List images"
 udocker images
 echo
 echo ">> Create container"
-udocker create --name=tf_gpu tensorflow/tensorflow:2.11.0-gpu
+udocker create --name=tf_gpu tensorflow/tensorflow:2.20.0-gpu
 echo
 echo ">> Set nvidia mode"
 udocker setup --nvidia --force tf_gpu

udocker-files/run-keras.sh

@@ -8,7 +8,7 @@
 #SBATCH --error=keras-%j.err
 
 export TUT_DIR=$HOME/udocker-tutorial
-export PATH=$HOME/udocker-1.3.10/udocker:$PATH
+export PATH=$HOME/udocker-1.3.17/udocker:$PATH
 export UDOCKER_DIR=$TUT_DIR/.udocker
 module load python
 cd $TUT_DIR