diff --git a/Zam347_scripts/generate_era5.sh b/Zam347_scripts/generate_era5.sh
new file mode 100755
index 0000000000000000000000000000000000000000..3ee897b0cf9cc6232575d370e85624496684e66e
--- /dev/null
+++ b/Zam347_scripts/generate_era5.sh
@@ -0,0 +1,10 @@
+#!/bin/bash -x
+
+
+python -u ../scripts/generate_transfer_learning_finetune.py \
+--input_dir /home/${USER}/preprocessedData/era5-Y2015toY2017M01to12-128x160-74d00N71d00E-T_MSL_gph500/tfrecords/  \
+--dataset_hparams sequence_length=20 --checkpoint  /home/${USER}/models/era5-Y2015toY2017M01to12-128x160-74d00N71d00E-T_MSL_gph500/ours_savp \
+--mode test --results_dir /home/${USER}/results/era5-Y2017M01to12-64x64-50d00N11d50E-T_T_T \
+--batch_size 4 --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
diff --git a/video_prediction/datasets/era5_dataset_v2.py b/video_prediction/datasets/era5_dataset_v2.py
index ecee4eaadfa298fc373958d5ad7673249d075d28..9ff970517c18155daea43c4646d8c750a3c5a509 100644
--- a/video_prediction/datasets/era5_dataset_v2.py
+++ b/video_prediction/datasets/era5_dataset_v2.py
@@ -85,7 +85,7 @@ class ERA5Dataset_v2(VarLenFeatureVideoDataset):
             # images = tf.decode_raw(parsed_features["images/encoded"],tf.int32)
 
             # images = seq
-            images = tf.reshape(seq, [20, 64, 64, 3], name = "reshape_new")
+            images = tf.reshape(seq, [20, 128, 160, 3], name = "reshape_new")
             print("IMAGES", images)
             seqs["images"] = images
             return seqs