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@@ -22,10 +22,10 @@ pip install -r requirements.txt
 ```
 
 ### Miscellaneous installation considerations
-- In python >= 3.6, make sure to add the root directory to thePYTHONPATH`, e.g. `export PYTHONPATH=path/to/video_prediction_savp`.
+- In python >= 3.6, make sure to add the root directory to the PYTHONPATH`, e.g. `export PYTHONPATH=path/to/video_prediction_savp`.
 - For the best speed and experimental results, we recommend using cudnn version 7.3.0.29 and any tensorflow version >= 1.9 and <= 1.12. The final training loss is worse when using cudnn versions 7.3.1.20 or 7.4.1.5, compared to when using versions 7.3.0.29 and below.
 - Add the directories lpips-tensorflow and hickle (get from [Workflow project](https://gitlab.version.fz-juelich.de/gong1/workflow_parallel_frame_prediction) to the  `PATHONPATH `, e.g export PYTHONPATH=path/to/lpips-tensorflow
-
+- You may need install packages by pip on JUWELS/JURECA, followed the installation instruction from [Workflow project](https://gitlab.version.fz-juelich.de/gong1/workflow_parallel_frame_prediction) 
 ### Download data
 
 - Download the ERA5 data (.hkl) from the output of DataPreprocess in the [Workflow project](https://gitlab.version.fz-juelich.de/gong1/workflow_parallel_frame_prediction)