From ce8c86f19db25de589257ddf31a04ebb9f37b481 Mon Sep 17 00:00:00 2001
From: Alexander Grund <alexander.grund@tu-dresden.de>
Date: Tue, 5 Mar 2024 17:16:18 +0100
Subject: [PATCH] Fix commands and update expected output in changed code
---
.../docs/software/distributed_training.md | 2 +-
.../docs/software/hyperparameter_optimization.md | 5 ++---
doc.zih.tu-dresden.de/docs/software/modules.md | 15 ++++++++++-----
doc.zih.tu-dresden.de/docs/software/pytorch.md | 4 ++--
4 files changed, 15 insertions(+), 11 deletions(-)
diff --git a/doc.zih.tu-dresden.de/docs/software/distributed_training.md b/doc.zih.tu-dresden.de/docs/software/distributed_training.md
index 445c326f3..df7652493 100644
--- a/doc.zih.tu-dresden.de/docs/software/distributed_training.md
+++ b/doc.zih.tu-dresden.de/docs/software/distributed_training.md
@@ -259,7 +259,7 @@ Or if you want to use Horovod on the cluster `alpha`, you can load it with the d
```console
marie@alpha$ module spider Horovod #Check available modules
-marie@alpha$ module load release/23.04 GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5 Horovod/0.21.1-TensorFlow-2.4.1
+marie@alpha$ module load release/23.04 release/23.04 GCC/11.3.0 OpenMPI/4.1.4 Horovod/0.28.1-CUDA-11.7.0-TensorFlow-2.11.0
```
#### Horovod Installation
diff --git a/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md b/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
index 1af996cb5..4288eb08a 100644
--- a/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
+++ b/doc.zih.tu-dresden.de/docs/software/hyperparameter_optimization.md
@@ -202,7 +202,7 @@ There are the following script preparation steps for OmniOpt:
[workspace](../data_lifecycle/workspaces.md).
```console
- marie@login$ module load release/23.04 GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5 PyTorch/1.9.0
+ marie@login$ module load release/23.04 GCC/11.3.0 OpenMPI/4.1.4 PyTorch/1.12.1
marie@login$ mkdir </path/to/workspace/python-environments> #create folder
marie@login$ virtualenv --system-site-packages </path/to/workspace/python-environments/torchvision_env>
marie@login$ source </path/to/workspace/python-environments/torchvision_env>/bin/activate #activate virtual environment
@@ -212,11 +212,10 @@ There are the following script preparation steps for OmniOpt:
```console
# Job submission on alpha nodes with 1 GPU on 1 node with 800 MB per CPU
marie@login$ srun --gres=gpu:1 -n 1 -c 7 --pty --mem-per-cpu=800 bash
- marie@alpha$ module load release/23.04 GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5 PyTorch/1.9.0
+ marie@alpha$ module load release/23.04 GCC/11.3.0 OpenMPI/4.1.4 PyTorch/1.12.1
# Activate virtual environment
marie@alpha$ source </path/to/workspace/python-environments/torchvision_env>/bin/activate
- Module GCC/10.2.0, CUDA/11.1.1, OpenMPI/4.0.5, PyTorch/1.9.0 and 54 dependencies loaded.
marie@alpha$ python </path/to/your/script/mnistFashion.py> --out-layer1=200 --batchsize=10 --epochs=3
[...]
Epoch 3
diff --git a/doc.zih.tu-dresden.de/docs/software/modules.md b/doc.zih.tu-dresden.de/docs/software/modules.md
index fc16562f1..88379b8cd 100644
--- a/doc.zih.tu-dresden.de/docs/software/modules.md
+++ b/doc.zih.tu-dresden.de/docs/software/modules.md
@@ -257,13 +257,18 @@ In some cases a desired software is available as an extension of a module.
Finaly, you can load the dependencies and `tensorboard/2.4.1` and check the version.
```console
- marie@login$ module load release/23.04 GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5
+ marie@login$ module load release/23.04 GCC/11.3.0 OpenMPI/4.1.4
+
+ Modules GCC/10.2.0, CUDA/11.1.1, OpenMPI/4.0.5 and 15 dependencies loaded.
+ marie@login$ module load TensorFlow/2.11.0-CUDA-11.7.0
+
+ Aktiviere Module:
+ 1) CUDA/11.7.0 2) GDRCopy/2.3
+
+ Module TensorFlow/2.11.0-CUDA-11.7.0 and 39 dependencies loaded.
- Module GCC/10.2.0, CUDA/11.1.1, OpenMPI/4.0.5 and 15 dependencies loaded.
- marie@login$ module load TensorFlow/2.4.1
- Module TensorFlow/2.4.1 and 34 dependencies loaded.
marie@login$ tensorboard --version
- 2.4.1
+ 2.11.1
```
## Toolchains
diff --git a/doc.zih.tu-dresden.de/docs/software/pytorch.md b/doc.zih.tu-dresden.de/docs/software/pytorch.md
index 4f6d0d78b..efbce5ac4 100644
--- a/doc.zih.tu-dresden.de/docs/software/pytorch.md
+++ b/doc.zih.tu-dresden.de/docs/software/pytorch.md
@@ -65,8 +65,8 @@ marie@login.power$ module spider pytorch
we know that we can load PyTorch (including torchvision) with
```console
-marie@power$ module load torchvision/0.7.0-fossCUDA-2019b-Python-3.7.4-PyTorch-1.6.0
-Module torchvision/0.7.0-fossCUDA-2019b-Python-3.7.4-PyTorch-1.6.0 and 55 dependencies loaded.
+marie@power$ module load release/23.04 GCC/11.3.0 OpenMPI/4.1.4 torchvision/0.13.1
+Modules GCC/11.3.0, OpenMPI/4.1.4, torchvision/0.13.1 and 62 dependencies loaded.
```
Now, we check that we can access PyTorch:
--
GitLab