rename to dzgcoop

scripts/dzgcoop/xda_test.sh

@@ -0,0 +1,46 @@
+#!/bin/bash
+
+
+# custom config
+DATA=" ~/Datasets/CoOp"
+TRAINER=DZGCoOp
+
+
+SRC_DATASETS=imagenet 
+SHOTS=16
+CFG=vit_b16_c2_ep20_batch4_4+4ctx_cross_datasets
+LOADEP=20
+
+
+DATASETS=(dtd eurosat fgvc_aircraft food101 oxford_flowers oxford_pets stanford_cars ucf101 caltech101 sun397)
+SEEDS=(1 2 3)
+
+
+for DATASET in "${DATASETS[@]}"
+do
+    for SEED in "${SEEDS[@]}"
+    do
+        MODEL_DIR=output_xd/base2new/train_base/${SRC_DATASETS}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
+        
+        DIR=output_xd/base2new/test_new/${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
+
+        if [ -d "$DIR" ]; then
+            echo "Results are available in ${DIR}. Skip this job"
+        else
+            echo "Run this job and save the output to ${DIR}"
+            echo "Loading model from ${MODEL_DIR}"
+
+            CUDA_VISIBLE_DEVICES=0 python train.py \
+            --root ${DATA} \
+            --seed ${SEED} \
+            --trainer ${TRAINER} \
+            --dataset-config-file configs/datasets/${DATASET}.yaml \
+            --config-file configs/trainers/${TRAINER}/${CFG}.yaml \
+            --output-dir ${DIR} \
+            --model-dir ${MODEL_DIR} \
+            --load-epoch ${LOADEP} \
+            --eval-only
+        fi
+    done
+done
+