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#!/bin/bash
###############################################################################
# Training Pipeline Script
#
# This script demonstrates the standard training pipeline execution pattern.
# It handles environment setup, configuration, and execution with proper
# error handling and logging.
#
# Usage:
# ./run/pipeline/training/train.sh --config-name=config_example
###############################################################################
set -e # Exit on error
set -o pipefail # Exit on pipe failure
# Script configuration
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
EXPERIMENT_NAME="baseline_experiment"
TIMESTAMP=$(date +"%Y%m%d_%H%M%S")
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
###############################################################################
# Helper Functions
###############################################################################
log_info() {
echo -e "${GREEN}[INFO]${NC} $1"
}
log_warn() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
cleanup() {
log_info "Cleaning up..."
# Add cleanup logic here (e.g., kill background processes)
}
trap cleanup EXIT
###############################################################################
# Environment Setup
###############################################################################
setup_environment() {
log_info "Setting up environment..."
# Activate virtual environment if it exists
if [ -f "${PROJECT_ROOT}/.venv/bin/activate" ]; then
source "${PROJECT_ROOT}/.venv/bin/activate"
log_info "Activated virtual environment"
fi
# Check required commands
command -v python >/dev/null 2>&1 || { log_error "Python not found"; exit 1; }
# Set Python path
export PYTHONPATH="${PROJECT_ROOT}/src:${PYTHONPATH}"
log_info "PYTHONPATH set to: ${PYTHONPATH}"
}
###############################################################################
# Configuration
###############################################################################
parse_arguments() {
# Default values
CONFIG="default"
GPUS=0
SEED=42
# Parse arguments
while [[ $# -gt 0 ]]; do
case $1 in
--config-name|-c)
CONFIG="$2"
shift 2
;;
--gpus|-g)
GPUS="$2"
shift 2
;;
--seed|-s)
SEED="$2"
shift 2
;;
*)
log_warn "Unknown argument: $1"
shift
;;
esac
done
log_info "Configuration: ${CONFIG}"
log_info "GPUs: ${GPUS}"
log_info "Seed: ${SEED}"
}
###############################################################################
# Main Training Function
###############################################################################
run_training() {
log_info "Starting training..."
# Output directory for this run
OUTPUT_DIR="${PROJECT_ROOT}/outputs/${EXPERIMENT_NAME}/${TIMESTAMP}"
mkdir -p "${OUTPUT_DIR}"
log_info "Output directory: ${OUTPUT_DIR}"
# Training command with Hydra
python "${PROJECT_ROOT}/train.py" \
--config-name="${CONFIG}" \
seed=${SEED} \
dir.output_dir="${OUTPUT_DIR}" \
training.device=cuda \
hydra.output_dir="${OUTPUT_DIR}/hydra" \
hydra.run.dir="${OUTPUT_DIR}/hydra" || {
log_error "Training failed!"
exit 1
}
log_info "Training completed successfully!"
}
###############################################################################
# Post-Processing
###############################################################################
post_process() {
log_info "Post-processing results..."
# Copy logs to output directory
if [ -f "${OUTPUT_DIR}/hydra/*.log" ]; then
cp "${OUTPUT_DIR}/hydra/"*.log "${OUTPUT_DIR}/"
fi
# Generate summary
log_info "Run summary:"
log_info " Config: ${CONFIG}"
log_info " Seed: ${SEED}"
log_info " Output: ${OUTPUT_DIR}"
# Print path to best checkpoint
BEST_CHECKPOINT=$(find "${OUTPUT_DIR}" -name "best*.pt" | head -n 1)
if [ -n "${BEST_CHECKPOINT}" ]; then
log_info " Best checkpoint: ${BEST_CHECKPOINT}"
fi
}
###############################################################################
# Main Execution
###############################################################################
main() {
log_info "=========================================="
log_info "Training Pipeline"
log_info "=========================================="
# Setup
setup_environment
# Parse arguments
parse_arguments "$@"
# Run training
run_training
# Post-process
post_process
log_info "=========================================="
log_info "Pipeline completed successfully!"
log_info "=========================================="
}
# Run main function
main "$@"
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