Release of PromptSRC with pretrained models.

scripts/independent-vlp/base2new_train_ivlp.sh

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+#!/bin/bash
+
+#cd ../..
+
+# custom config
+DATA="/path/to/dataset/folder"
+TRAINER=IVLP
+
+DATASET=$1
+SEED=$2
+
+CFG=vit_b16_c2_ep20_batch4_4+4ctx
+SHOTS=16
+
+
+DIR=output/base2new/train_base/${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
+if [ -d "$DIR" ]; then
+    echo "Results are available in ${DIR}. Resuming..."
+    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} \
+    DATASET.NUM_SHOTS ${SHOTS} \
+    DATASET.SUBSAMPLE_CLASSES base
+else
+    echo "Run this job and save the output to ${DIR}"
+    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} \
+    DATASET.NUM_SHOTS ${SHOTS} \
+    DATASET.SUBSAMPLE_CLASSES base
+fi