From 42ca7c28f615f383a670d71aa1cebb86e65fca30 Mon Sep 17 00:00:00 2001 From: Martin Schroschk <martin.schroschk@tu-dresden.de> Date: Wed, 14 Jul 2021 12:40:13 +0200 Subject: [PATCH] Fix links to virtual_machines section --- doc.zih.tu-dresden.de/docs/software/containers.md | 2 +- doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md | 2 +- .../docs/software/tensor_flow_container_on_hpcda.md | 2 +- doc.zih.tu-dresden.de/docs/software/vm_tools.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc.zih.tu-dresden.de/docs/software/containers.md b/doc.zih.tu-dresden.de/docs/software/containers.md index 34a5af441..d0c723629 100644 --- a/doc.zih.tu-dresden.de/docs/software/containers.md +++ b/doc.zih.tu-dresden.de/docs/software/containers.md @@ -89,7 +89,7 @@ Creating a container is done by writing a definition file and passing it to singularity build myContainer.sif myDefinition.def ``` -NOTE: This must be done on a machine (or [VM](cloud.md) with root rights. +NOTE: This must be done on a machine (or [VM](virtual_machines.md) with root rights. A definition file contains a bootstrap [header](https://sylabs.io/guides/3.2/user-guide/definition_files.html#header) diff --git a/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md b/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md index f662ce564..1851cbf6d 100644 --- a/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md +++ b/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md @@ -331,7 +331,7 @@ you have to use the definition file to create the container from our wiki. Bootstrapping **has required root privileges** and Virtual Machine (VM) should be used! There are two main options on how to work with VM on Taurus: [VM tools](vm_tools.md) - automotive algorithms -for using virtual machines; [Manual method](cloud.md) - it requires more +for using virtual machines; [Manual method](virtual_machines.md) - it requires more operations but gives you more flexibility and reliability. - [machine_learning_example.py] **todo** %ATTACHURL%/machine_learning_example.py: diff --git a/doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md b/doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md index 6fb63ba25..7b77f7da3 100644 --- a/doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md +++ b/doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md @@ -47,7 +47,7 @@ on how to work with VM on Taurus: 1\. [VM tools](vm_tools.md). Automative algorithms for using virtual machines; -2\. [Manual method](cloud.md). It required more operations but gives you +2\. [Manual method](virtual_machines.md). It required more operations but gives you more flexibility and reliability. Short algorithm to run the virtual machine manually: diff --git a/doc.zih.tu-dresden.de/docs/software/vm_tools.md b/doc.zih.tu-dresden.de/docs/software/vm_tools.md index 751821b6b..5a4d58a7e 100644 --- a/doc.zih.tu-dresden.de/docs/software/vm_tools.md +++ b/doc.zih.tu-dresden.de/docs/software/vm_tools.md @@ -17,7 +17,7 @@ likely doesn't. For this we provide a Virtual Machine (VM) on the ml partition which allows users to gain root permissions in an isolated environment. The workflow to use this manually is described at -[another page](cloud.md) but is quite cumbersome. +[another page](virtual_machines.md) but is quite cumbersome. To make this easier two programs are provided: `buildSingularityImage` and `startInVM` which do what they say. The latter is for more advanced use cases so you should be fine using -- GitLab