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random_exec.sh
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random_exec.sh
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#!/bin/bash
############
# settings #
############
CATHEGORY="random"
N_POSTERIOR_SAMPLES=1000
SVI_GP_VARIATIONAL_DISTRIBUTION="cholesky"
SVI_GP_VARIATIONAL_STRATEGY="default"
SVI_GP_BATCH_SIZE=100
SVI_GP_N_EPOCHS=2000
SVI_GP_LR=0.001
SVI_BNN_ARCHITECTURE="3L"
SVI_BNN_BATCH_SIZE=100
SVI_BNN_N_EPOCHS=2000
SVI_BNN_LR=0.001
SVI_BNN_N_HIDDEN=30
#######
# run #
#######
source venv/bin/activate
DATE=$(date +%Y-%m-%d)
TIME=$(date +%H:%M:%S)
LOGS="out/logs/"
mkdir -p $LOGS
OUT="${LOGS}${DATE}_${TIME}_out.txt"
python EP_GPs/train.py --cathegory=$CATHEGORY >> $OUT 2>&1
python SVI_BNNs/train.py --cathegory=$CATHEGORY --architecture=$SVI_BNN_ARCHITECTURE --batch_size=$SVI_BNN_BATCH_SIZE \
--n_epochs=$SVI_BNN_N_EPOCHS --lr=$SVI_BNN_LR --n_hidden=$SVI_BNN_N_HIDDEN \
--device="cpu">> $OUT 2>&1
python SVI_GPs/train.py --cathegory=$CATHEGORY --variational_distribution=$SVI_GP_VARIATIONAL_DISTRIBUTION \
--variational_strategy=$SVI_GP_VARIATIONAL_STRATEGY --batch_size=$SVI_GP_BATCH_SIZE \
--n_epochs=$SVI_GP_N_EPOCHS --lr=$SVI_GP_LR --device="cuda" >> $OUT 2>&1