From 959ab9326f214557e58d747d98d2b1c2d0b108c5 Mon Sep 17 00:00:00 2001
From: stadtler1 <s.stadtler@fz-juelich.de>
Date: Mon, 28 Sep 2020 15:57:01 +0200
Subject: [PATCH] Modifications to the path instead of scratch, it is now
project. Also I had to adjust the paths in the srun command. Further a
variable for the experiment name is needed.
---
.../visualize_postprocess_era5_template.sh | 13 ++++++-------
1 file changed, 6 insertions(+), 7 deletions(-)
diff --git a/video_prediction_tools/HPC_scripts/visualize_postprocess_era5_template.sh b/video_prediction_tools/HPC_scripts/visualize_postprocess_era5_template.sh
index 4702ec5b..b2531f56 100644
--- a/video_prediction_tools/HPC_scripts/visualize_postprocess_era5_template.sh
+++ b/video_prediction_tools/HPC_scripts/visualize_postprocess_era5_template.sh
@@ -35,16 +35,15 @@ if [ -z ${VIRTUAL_ENV} ]; then
fi
# declare directory-variables which will be modified appropriately during Preprocessing (invoked by mpi_split_data_multi_years.py)
-source_dir=/p/scratch/deepacf/video_prediction_shared_folder/preprocessedData/
-checkpoint_dir=/p/scratch/deepacf/video_prediction_shared_folder/models/
-results_dir=/p/scratch/deepacf/video_prediction_shared_folder/results/
+source_dir=/p/project/deepacf/deeprain/video_prediction_shared_folder/preprocessedData/
+checkpoint_dir=/p/project/deepacf/deeprain/video_prediction_shared_folder/models/
+results_dir=/p/project/deepacf/deeprain/video_prediction_shared_folder/results/
# name of model
model=convLSTM
-
+exp=[specify experiment name]
# run postprocessing/generation of model results including evaluation metrics
srun python -u ../main_scripts/main_visualize_postprocess.py \
---input_dir ${source_dir}/tfrecords --dataset_hparams sequence_length=20 --checkpoint ${checkpoint_dir}/ \
---mode test --model ${model} --results_dir ${results_dir}/ --batch_size 2 --dataset era5 > generate_era5-out.out
+--input_dir ${source_dir} --dataset_hparams sequence_length=20 --checkpoint ${checkpoint_dir}/${model}/${exp} \
+--mode test --model ${model} --results_dir ${results_dir}/${model}/${exp}/ --batch_size 2 --dataset era5 > generate_era5-out.out
-#srun python scripts/train.py --input_dir data/era5 --dataset era5 --model savp --model_hparams_dict hparams/kth/ours_savp/model_hparams.json --output_dir logs/era5/ours_savp
--
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