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train_dm3.sh
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train_dm3.sh
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#!/bin/bash
# Check if a port argument is provided
if [ $# -lt 2 ]; then
echo "Usage: $0 <carla_port> <gpu_device> [additional_training_parameters]"
exit 1
fi
# Configuration
CARLA_PORT=$1
GPU_DEVICE=$2
LOG_FILE="log_${CARLA_PORT}.log"
CARLA_SERVER_COMMAND="$CARLA_ROOT/CarlaUE4.sh -RenderOffScreen -carla-port=$CARLA_PORT -benchmark -fps=10"
TRAINING_SCRIPT="dreamerv3/train.py"
COMMON_PARAMS="--env.world.carla_port $CARLA_PORT --dreamerv3.jax.policy_devices $GPU_DEVICE --dreamerv3.jax.train_devices $GPU_DEVICE"
ADDITIONAL_PARAMS="${@:3}" # Capture all additional parameters passed to the script
TRAINING_COMMAND="python -u $TRAINING_SCRIPT $COMMON_PARAMS $ADDITIONAL_PARAMS"
# Clear log file before starting
> $LOG_FILE
# Function to log messages with timestamp
log_with_timestamp() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" >> $LOG_FILE
}
# Function to start or restart CARLA
launch_carla() {
# Check if CARLA is running
if ! pgrep -f "CarlaUE4.sh -RenderOffScreen -carla-port=$CARLA_PORT -benchmark -fps=10" > /dev/null; then
log_with_timestamp "CARLA server is not running on port $CARLA_PORT. Starting or restarting..."
# Kill any existing CARLA processes on the same port
fuser -k ${CARLA_PORT}/tcp
# Start CARLA
CUDA_VISIBLE_DEVICES=$GPU_DEVICE $CARLA_SERVER_COMMAND &
# Wait for CARLA to fully start
while ! nc -z localhost $CARLA_PORT; do
log_with_timestamp "Waiting for CARLA server to start on port $CARLA_PORT..."
sleep 1 # delay to prevent excessive resource usage
done
log_with_timestamp "CARLA server is up and running on port $CARLA_PORT."
fi
}
# Function to start the training script
start_training() {
launch_carla
# Start the training script
$TRAINING_COMMAND >> $LOG_FILE 2>&1 &
TRAINING_PID=$!
# Log the information about the log file
log_with_timestamp "Training session started successfully. Logs are being written to: $LOG_FILE"
echo -e "\033[1;32mTraining session started successfully. Logs are being written to: $LOG_FILE\033[0m"
}
# Function to clean up processes on exit
cleanup() {
log_with_timestamp "Cleaning up and exiting..."
# Kill CARLA process
fuser -k ${CARLA_PORT}/tcp
# Kill the specific training process using its PID
kill -TERM $TRAINING_PID >/dev/null 2>&1
wait $TRAINING_PID >/dev/null 2>&1
exit
}
# Trap EXIT signal to call the cleanup function
trap cleanup SIGINT
# Initial start
log_with_timestamp "Starting training on port $CARLA_PORT..."
log_with_timestamp "Training command: $TRAINING_COMMAND"
start_training
while true; do
# Check if the training script is still running
if ! pgrep -f "$TRAINING_SCRIPT" > /dev/null; then
log_with_timestamp "Training script crashed on port $CARLA_PORT. Restarting..."
start_training
fi
# Check if CARLA server needs to be restarted
launch_carla
# Check every minute
sleep 60
done