From 07e73105346251641cae6e8dde112bbfd928da19 Mon Sep 17 00:00:00 2001
From: Natasha Pavlovikj <npavlovikj2@unl.edu>
Date: Sun, 24 May 2020 01:37:22 -0500
Subject: [PATCH] Update conda page and fix broken link
---
.../user_software/using_anaconda_package_manager.md | 9 ++++++++-
content/applications/user_software/using_singularity.md | 2 +-
2 files changed, 9 insertions(+), 2 deletions(-)
diff --git a/content/applications/user_software/using_anaconda_package_manager.md b/content/applications/user_software/using_anaconda_package_manager.md
index 6790fd9e..6d67198d 100644
--- a/content/applications/user_software/using_anaconda_package_manager.md
+++ b/content/applications/user_software/using_anaconda_package_manager.md
@@ -122,6 +122,13 @@ Our new environment is now active, and we can use it. The shell prompt will cha
### Adding and Removing Packages from an Existing Environment
+{{% notice note %}}
+**NOTE:** By default, conda packages are installed in the user's `home` directory.
+Since Crane's `home` directories are not writeable from the worker nodes,
+the commands for installing, adding and removing conda packages shown here
+should be performed on the **login node**, and not as part of an interactive or SLURM job.
+{{% /notice %}}
+
To install additional packages in an environment, use the `install`
subcommand. Suppose we want to install iPython in our 'mynumpy'
environment. While the environment is active, use `install `with no
@@ -230,7 +237,7 @@ Jupyter Notebook. To do so, follow the steps below, replacing
server.
3. Click the logout button in the top right corner.
-2. Using the command-line environment, load the target conda
+2. Using the command-line environment of the **login node**, load the target conda
environment:
{{< highlight bash >}}conda activate myenv{{< /highlight >}}
diff --git a/content/applications/user_software/using_singularity.md b/content/applications/user_software/using_singularity.md
index b5bb3f4e..d99505a9 100644
--- a/content/applications/user_software/using_singularity.md
+++ b/content/applications/user_software/using_singularity.md
@@ -153,7 +153,7 @@ srun --pty --mem=4gb --qos=short --gres=gpu --partition=gpu $SHELL
{{% notice info %}}
The `--gres=gpu --partition=gpu` options are used here as the `tensorflow-gpu` image is
GPU enabled. If you are using a non-GPU image, you may omit those options. See the page
-on [submitting GPU jobs]({{< relref "/guides/submitting_jobs/submitting_cuda_or_openacc_jobs/_index.md" >}})
+on [submitting GPU jobs]({{< relref "../../submitting_jobs/submitting_gpu_jobs/" >}})
for more information.
{{% /notice %}}
--
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