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Holland Computing Center
HCC docs
Commits
07e73105
Commit
07e73105
authored
May 24, 2020
by
Natasha Pavlovikj
Browse files
Update conda page and fix broken link
parent
f1857029
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2
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content/applications/user_software/using_anaconda_package_manager.md
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07e73105
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@@ -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
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@@ -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
>
}}
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content/applications/user_software/using_singularity.md
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07e73105
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@@ -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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