Fix workspace spaces

doc.zih.tu-dresden.de/docs/software/cfd.md

@@ -41,7 +41,7 @@ marie@login$ # source $FOAM_CSH
     OUTFILE="Output"
     module load OpenFOAM
     source $FOAM_BASH
-    cd /horse/ws/1/marie-example-workspace  # work directory using workspace
+    cd /horse/ws/marie-example-workspace  # work directory using workspace
     srun pimpleFoam -parallel > "$OUTFILE"
     ```
 
@@ -61,7 +61,7 @@ geometry and mesh generator cfx5pre, and the post-processor cfx5post.
     #SBATCH --mail-type=ALL
 
     module load ANSYS
-    cd /horse/ws/1/marie-example-workspace                   # work directory using workspace
+    cd /horse/ws/marie-example-workspace                       # work directory using workspace
     cfx-parallel.sh -double -def StaticMixer.def
     ```
 

doc.zih.tu-dresden.de/docs/software/custom_easy_build_environment.md

@@ -54,7 +54,7 @@ once:
 ```console
 marie@login$ ws_allocate EasyBuild 50
 marie@login$ ws_list | grep 'directory.*EasyBuild'
-     workspace directory  : /data/horse/ws/1/marie-EasyBuild
+     workspace directory  : /data/horse/ws/marie-EasyBuild
 ```
 
 **Step 2:** Allocate nodes. You can do this with interactive jobs (see the example below) and/or

doc.zih.tu-dresden.de/docs/software/mpi_usage_error_detection.md

@@ -211,7 +211,7 @@ from the [MUST documentation v1.7.2](https://hpc.rwth-aachen.de/must/files/Docum
     html files. Copy the files to your local host, e.g.
 
     ```console
-    marie@local$ scp -r dataport1.hpc.tu-dresden.de:/data/horse/ws/0/marie-must/{MUST_Output-files,MUST_Output.html}
+    marie@local$ scp -r dataport1.hpc.tu-dresden.de:/data/horse/ws/marie-must/{MUST_Output-files,MUST_Output.html}
     ```
 
     and open the file `MUST_Output.html` using a webbrowser. Alternativly, you can open the html file with a

doc.zih.tu-dresden.de/docs/software/nanoscale_simulations.md

@@ -93,7 +93,7 @@ For runs with [Slurm](../jobs_and_resources/slurm.md), please use a script like
 
 module load modenv/classic
 module load gamess
-rungms.slurm cTT_M_025.inp /data/horse/ws/0/marie-gamess
+rungms.slurm cTT_M_025.inp /data/horse/ws/marie-gamess
 #                          the third parameter is the location of your horse directory
 ```
 

doc.zih.tu-dresden.de/docs/software/ngc_containers.md

@@ -54,9 +54,9 @@ Create a container from the image from the NGC catalog.
 
 ```console
 marie@login.alpha$ srun --nodes=1 --ntasks-per-node=1 --ntasks=1 --gres=gpu:1 --time=08:00:00 --pty --mem=50000 bash
-
+[...]
 marie@alpha$ cd /data/horse/ws/<name_of_your_workspace>/containers   #please create a Workspace
-
+[...]
 marie@alpha$ singularity pull pytorch:21.08-py3.sif docker://nvcr.io/nvidia/pytorch:21.08-py3
 ```
 
@@ -113,7 +113,7 @@ on the ImageNet dataset inside the PyTorch container:
 
 ```console
 marie@login.alpha$ srun --nodes=1 --ntasks-per-node=1 --ntasks=1 --gres=gpu:1 --time=08:00:00 --pty --mem=50000 \
-                singularity exec --nv -B /data/horse/ws/0/anpo879a-ImgNet/imagenet:/data/imagenet pytorch:21.06-py3 \
+                singularity exec --nv -B /data/horse/ws/anpo879a-ImgNet/imagenet:/data/imagenet pytorch:21.06-py3 \
                 python /workspace/examples/resnet50v1.5/multiproc.py --nnodes=1 --nproc_per_node 1 \
                 --node_rank=0 /workspace/examples/resnet50v1.5/main.py --data-backend dali-cpu --raport-file raport.json \
                 -j16 -p 100 --lr 2.048 --optimizer-batch-size 2048 --warmup 8 --arch resnet50 -c fanin --label-smoothing 0.1 \
@@ -140,7 +140,7 @@ marie@login.alpha$ srun --nodes=1 --ntasks-per-node=8 --ntasks=8 --gres=gpu:8 --
 ```
 
 ```console
-marie@alpha$ singularity exec --nv -B /data/horse/ws/0/marie-ImgNet/imagenet:/data/imagenet pytorch:21.06-py3 \
+marie@alpha$ singularity exec --nv -B /data/horse/ws/marie-ImgNet/imagenet:/data/imagenet pytorch:21.06-py3 \
                 python /workspace/examples/resnet50v1.5/multiproc.py --nnodes=1 --nproc_per_node 8 \
                 --node_rank=0 /workspace/examples/resnet50v1.5/main.py --data-backend dali-cpu \
                 --raport-file raport.json -j16 -p 100 --lr 2.048 --optimizer-batch-size 2048 --warmup 8 \

doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md

@@ -50,11 +50,11 @@ Then create the virtual environment and activate it.
 ```console
 marie@compute$ ws_allocate python_virtual_environment 1
 Info: creating workspace.
-/horse/ws/1/marie-python_virtual_environment
+/horse/ws/marie-python_virtual_environment
 [...]
-marie@compute$ virtualenv --system-site-packages /horse/ws/1/marie-python_virtual_environment/env  #Create virtual environment
+marie@compute$ virtualenv --system-site-packages /horse/ws/marie-python_virtual_environment/env  #Create virtual environment
 [...]
-marie@compute$ source /horse/ws/1/marie-python_virtual_environment/env/bin/activate    #Activate virtual environment. Example output: (env) bash-4.2$
+marie@compute$ source /horse/ws/marie-python_virtual_environment/env/bin/activate    #Activate virtual environment. Example output: (env) bash-4.2$
 ```
 
 Now you can work in this isolated environment, without interfering with other
@@ -73,7 +73,7 @@ the environment as follows:
     ```console
     marie@login.alpha$ srun --nodes=1 --gres=gpu:1 --time=01:00:00 --pty bash
     marie@alpha$ ws_allocate my_python_virtualenv 100    # use a workspace for the environment
-    marie@alpha$ cd /horse/ws/1/marie-my_python_virtualenv
+    marie@alpha$ cd /horse/ws/marie-my_python_virtualenv
     marie@alpha$ module load modenv/hiera GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5 PyTorch/1.9.0
     Module GCC/10.2.0, CUDA/11.1.1, OpenMPI/4.0.5, PyTorch/1.9.0 and 54 dependencies loaded.
     marie@alpha$ which python
@@ -113,9 +113,9 @@ packages from the file:
 ```console
 marie@compute$ module load Python    #Load default Python
 [...]
-marie@compute$ virtualenv --system-site-packages /horse/ws/1/marie-python_virtual_environment/env_post  #Create virtual environment
+marie@compute$ virtualenv --system-site-packages /horse/ws/marie-python_virtual_environment/env_post  #Create virtual environment
 [...]
-marie@compute$ source /horse/ws/1/marie-python_virtual_environment/env/bin/activate    #Activate virtual environment. Example output: (env_post) bash-4.2$
+marie@compute$ source /horse/ws/marie-python_virtual_environment/env/bin/activate    #Activate virtual environment. Example output: (env_post) bash-4.2$
 (env_post) marie@compute$ pip install -r requirements.txt    #Install packages from the created requirements.txt file
 ```
 
@@ -147,7 +147,7 @@ directory for the conda virtual environment:
 ```console
 marie@compute$ ws_allocate conda_virtual_environment 1
 Info: creating workspace.
-/horse/ws/1/marie-conda_virtual_environment
+/horse/ws/marie-conda_virtual_environment
 [...]
 ```
 
@@ -156,8 +156,8 @@ environment:
 
 ```console
 marie@compute$ module load Anaconda3    #load Anaconda module
-marie@compute$ conda create --prefix /horse/ws/1/marie-conda_virtual_environment/conda-env python=3.6    #create virtual environment with Python version 3.6
-marie@compute$ conda activate /horse/ws/1/marie-conda_virtual_environment/conda-env    #activate conda-env virtual environment
+marie@compute$ conda create --prefix /horse/ws/marie-conda_virtual_environment/conda-env python=3.6    #create virtual environment with Python version 3.6
+marie@compute$ conda activate /horse/ws/marie-conda_virtual_environment/conda-env    #activate conda-env virtual environment
 ```
 
 Now you can work in this isolated environment, without interfering with other
@@ -185,7 +185,7 @@ can deactivate the conda environment as follows:
     ```console
     marie@login.alpha$ srun --nodes=1 --gres=gpu:1 --time=01:00:00 --pty bash
     marie@alpha$ ws_allocate my_conda_virtualenv 100    # use a workspace for the environment
-    marie@alpha$ cd /horse/ws/1/marie-my_conda_virtualenv
+    marie@alpha$ cd /horse/ws/marie-my_conda_virtualenv
     marie@alpha$ module load Anaconda3
     Module Anaconda3/2021.11 loaded.
     marie@alpha$ conda create --prefix my-torch-env python=3.8
@@ -250,8 +250,8 @@ Recreate the conda virtual environment with the packages from the created
 `environment.yml` file:
 
 ```console
-marie@compute$ mkdir /horse/ws/1/marie-conda_virtual_environment/conda-env    #Create directory for environment
+marie@compute$ mkdir /horse/ws/marie-conda_virtual_environment/conda-env    #Create directory for environment
 marie@compute$ module load Anaconda3    #Load Anaconda
 marie@compute$ conda config --set channel_priority strict
-marie@compute$ conda env create --prefix /horse/ws/1/marie-conda_virtual_environment/conda-env --file environment.yml    #Create conda env in directory with packages from environment.yml file
+marie@compute$ conda env create --prefix /horse/ws/marie-conda_virtual_environment/conda-env --file environment.yml    #Create conda env in directory with packages from environment.yml file
 ```

doc.zih.tu-dresden.de/docs/software/tensorboard.md

@@ -63,7 +63,7 @@ already have an event data directory, you can skip that step.
 ```console
 marie@compute$ ws_allocate -F /data/horse tensorboard_logdata 1
 Info: creating workspace.
-/data/horse/ws/1/marie-tensorboard_logdata
+/data/horse/ws/marie-tensorboard_logdata
 [...]
 ```
 
@@ -72,7 +72,7 @@ accessible for TensorBoard. Please find further information on the official [Ten
 Then, you can start TensorBoard and pass the directory of the event data:
 
 ```console
-marie@compute$ tensorboard --logdir /data/horse/ws/1/marie-tensorboard_logdata --bind_all
+marie@compute$ tensorboard --logdir /data/horse/ws/marie-tensorboard_logdata --bind_all
 [...]
 TensorBoard 2.3.0 at http://taurusi8034.taurus.hrsk.tu-dresden.de:6006/
 [...]

doc.zih.tu-dresden.de/docs/software/tensorflow.md

@@ -72,13 +72,13 @@ import TensorFlow:
 !!! example
 
     ```console
-    marie@power$ ws_allocate -F /data/horse python_virtual_environment 1
+    marie@power$ ws_allocate -F horse python_virtual_environment 1
     Info: creating workspace.
-    /data/horse/ws/1/python_virtual_environment
+    /data/horse/ws/python_virtual_environment
     [...]
     marie@power$ which python    #check which python are you using
     /sw/installed/Python/3.7.2-GCCcore-8.2.0
-    marie@power$ virtualenv --system-site-packages /data/horse/ws/1/marie-python_virtual_environment/env
+    marie@power$ virtualenv --system-site-packages /data/horse/ws/marie-python_virtual_environment/env
     [...]
     marie@power$ source /data/horse/ws/marie-python_virtual_environment/env/bin/activate
     marie@power$ python -c "import tensorflow as tf; print(tf.__version__)"