TTS/tests/test_tacotron_train.sh

#!/usr/bin/env bash
set -xe
BASEDIR=$(dirname "$0")
echo "$BASEDIR"

# run training
CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron_config.json
# find the training folder
LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1)
echo $LATEST_FOLDER
# continue the previous training
CUDA_VISIBLE_DEVICES=""  python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER
# remove all the outputs
rm -rf $BASEDIR/train_outputs/

# run Tacotron bi-directional decoder
CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron_bd_config.json
# find the training folder
LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1)
echo $LATEST_FOLDER
# continue the previous training
CUDA_VISIBLE_DEVICES=""  python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER
# remove all the outputs
rm -rf $BASEDIR/train_outputs/

# Tacotron2
# run training
CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_tacotron2_config.json
# find the training folder
LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1)
echo $LATEST_FOLDER
# continue the previous training
CUDA_VISIBLE_DEVICES=""  python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER
# remove all the outputs
rm -rf $BASEDIR/train_outputs/