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Update README.rst #113

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harrisonritz Feb 22, 2024
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20 changes: 19 additions & 1 deletion README.rst
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Expand Up @@ -200,8 +200,10 @@ Then install **hddm** via **github**.
To make use of the LAN fuctionalities, you need to install `pytorch`_.

::

pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1
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@AlexanderFengler I reinstated the repeat of the torch install instruction on line 198/204. you should probably remove one of these (I think torch==1.13.1 is outdated relative to your docker file ).



A common issue on new machines is that the installation of the **pymc** package (a necessary dependency),
is hampered by problems with compiling its fortran code. Try downgrading the version of your
**gcc** compiler. This can be done on a MAC (not the new M1/M2 versions tragically), via
Expand All @@ -214,7 +216,23 @@ In case you do not have the **brew** command, install `Homebrew <https://brew.sh

You usually do not run into problems with **linux** machines, however downgrading **gcc** can still be necessary.

(Previous instructions for **HDDM <= 0.8.0**, DISCOURAGED)
**Recipe for Installing HDDM 1.0.1 on Brown's OSCAR cluster**

::

module load gcc/6.5.0-lwshmxc
conda create -n hddm python=3.7
conda activate hddm
pip install numpy==1.21
pip install --no-cache-dir pymc==2.3.8
conda install hdf5 netcdf4
pip install kabuki
pip install hddm==1.0.1
pip install torch torchvision torchaudio


**Previous instructions for HDDM <= 0.8.0, DISCOURAGED**

As of release 0.6.0, HDDM is compatible with Python 3 which we encourage.

The easiest way to install HDDM is through Anaconda (available for
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