/
task_2_script.sh
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/
task_2_script.sh
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#!/bin/bash
#eval "$(conda shell.bash hook)"
#conda activate tf-gpu
#conda activate tensorflow2
#conda activate beetl
computer_dir="/home/vernon/software/NeurIPS_competition/EEG_Lightning/"
#computer_dir="../"
DIR="${computer_dir}/submission/common_func_script"
source "${DIR}/common_script.sh"
prefix_path="${computer_dir}"
train_script="${computer_dir}"
ROOT="${computer_dir}/da_dataset/task_2"
predict_script="${computer_dir}"
MAIN_EXP_TYPE="submission/task_2"
TRAINER_MODEL_PREFIXS=("$mcdV1_prefix")
DATASETS=("$Dataset_A_0_dataset" "$Dataset_A_1_dataset" "$Dataset_A_2_dataset")
TEST_DATASET_CASE="final_MI_test_A_1"
for TRAINER_MODEL_PREFIX in "${TRAINER_MODEL_PREFIXS[@]}";
do
for DATASET in "${DATASETS[@]}";
do
EXP_TYPE="${MAIN_EXP_TYPE}"
MAIN_DIR="${prefix_path}/${EXP_TYPE}/${TRAINER_MODEL_PREFIX}/${DATASET}"
test_path="${ROOT}/${TEST_DATASET_CASE}/${DATASET}/NeurIPS_TL.mat"
echo $MAIN_DIR
run_simple_train $gpu_device_0 $test_path $MAIN_DIR
done
done
DATASETS=("$Dataset_B_0_dataset" "$Dataset_B_1_dataset")
TEST_DATASET_CASE="final_MI_test_B_1"
for TRAINER_MODEL_PREFIX in "${TRAINER_MODEL_PREFIXS[@]}";
do
for DATASET in "${DATASETS[@]}";
do
EXP_TYPE="${MAIN_EXP_TYPE}"
MAIN_DIR="${prefix_path}/${EXP_TYPE}/${TRAINER_MODEL_PREFIX}/${DATASET}"
test_path="${ROOT}/${TEST_DATASET_CASE}/${DATASET}/NeurIPS_TL.mat"
echo $MAIN_DIR
run_simple_train $gpu_device_0 $test_path $MAIN_DIR
done
done