make train_movingmnist.sh

video_prediction_savp/HPC_scripts/train_movingmnist.sh

@@ -4,18 +4,13 @@
 #SBATCH --ntasks=1
 ##SBATCH --ntasks-per-node=1
 #SBATCH --cpus-per-task=1
-<<<<<<< Updated upstream
 #SBATCH --output=train_moving_mnist-out.%j
 #SBATCH --error=train_moving_mnist-err.%j
-=======
-#SBATCH --output=train_era5-out.%j
-#SBATCH --error=train_era5-err.%j
->>>>>>> Stashed changes
-#SBATCH --time=00:20:00
+#SBATCH --time=23:20:00
 #SBATCH --gres=gpu:1
-#SBATCH --partition=develgpus
+#SBATCH --partition=gpus
 #SBATCH --mail-type=ALL
-#SBATCH --mail-user=s.stadtler@fz-juelich.de
+#SBATCH --mail-user=b.gong@fz-juelich.de
 ##jutil env activate -p cjjsc42
 
 
@@ -48,5 +43,5 @@ model_hparams=../hparams/${dataset}/${model}/model_hparams.json
 
 # rund training
 
-srun python ../scripts/train_dummy.py --input_dir  ${source_dir}/tfrecords/ --dataset moving_mnist  --model ${model} --model_hparams_dict ${model_hparams} --output_dir ${destination_dir}/${model}_bing_20200902/ 
+srun python ../scripts/train_dummy.py --input_dir  ${source_dir}/tfrecords/ --dataset moving_mnist  --model ${model} --model_hparams_dict ${model_hparams} --output_dir ${destination_dir}/${model}