#!/bin/bash # Exit on error set -e # Function to check if CUDA is available check_cuda() { if command -v nvidia-smi &> /dev/null; then echo "CUDA GPU detected" return 0 else echo "No CUDA GPU detected" return 1 fi } # Function to check if conda is available check_conda() { if command -v conda &> /dev/null; then echo "Conda is available" return 0 else echo "Conda is not installed. Please install Conda first." return 1 fi } # Colors for output GREEN='\033[0;32m' BLUE='\033[0;34m' NC='\033[0m' # No Color # Print step with color print_step() { echo -e "${BLUE}[Step] ${1}${NC}" } # Main installation process main() { # Check prerequisites check_conda || exit 1 # Create and activate conda environment # if not exists, create it if ! conda env list | grep -q "ragen"; then print_step "Creating conda environment 'ragen' with Python 3.12..." conda create -n ragen python=3.12 -y else print_step "Conda environment 'ragen' already exists" fi # Need to source conda for script environment eval "$(conda shell.bash hook)" conda activate ragen pip install -U pip "setuptools<70.0.0" wheel pip install numpy ninja packaging psutil # Install package in editable mode print_step "setting up verl..." git submodule sync git submodule init git submodule update cd verl pip install -e . --no-dependencies # we put dependencies in requirements.txt cd .. # Install package in editable mode print_step "Installing ragen package..." pip install -e . # Install spatial environment dependencies print_step "Installing spatial environment dependencies..." pip install -e ragen/env/spatial/Base # Install PyTorch with CUDA if available if check_cuda; then print_step "CUDA detected, checking CUDA version..." if command -v nvcc &> /dev/null; then nvcc_version=$(nvcc --version | grep "release" | awk '{print $6}' | cut -c2-) nvcc_major=$(echo $nvcc_version | cut -d. -f1) nvcc_minor=$(echo $nvcc_version | cut -d. -f2) print_step "Found NVCC version: $nvcc_version" if [[ "$nvcc_major" -gt 12 || ("$nvcc_major" -eq 12 && "$nvcc_minor" -ge 1) ]]; then print_step "CUDA $nvcc_version is already installed and meets requirements (>=12.4)" export CUDA_HOME=${CUDA_HOME:-$(dirname $(dirname $(which nvcc)))} else print_step "CUDA version < 12.4, installing CUDA toolkit 12.4..." conda install -c "nvidia/label/cuda-12.4.0" cuda-toolkit -y export CUDA_HOME=$CONDA_PREFIX fi else print_step "NVCC not found, installing CUDA toolkit 12.4..." conda install -c "nvidia/label/cuda-12.4.0" cuda-toolkit -y export CUDA_HOME=$CONDA_PREFIX fi print_step "Installing PyTorch with CUDA support..." pip install torch==2.5.0 --index-url https://download.pytorch.org/whl/cu124 print_step "Installing flash-attention..." pip3 install flash-attn==2.7.4.post1 --no-build-isolation else print_step "Installing PyTorch without CUDA support..." pip install torch==2.5.0 fi # Install remaining requirements print_step "Installing additional requirements..." pip install -r requirements.txt pip install transformers==4.48.2 # Reinstall setuptools<70 after requirements.txt (vllm may upgrade it, # which removes pkg_resources needed by gym_sokoban) pip install "setuptools<70.0.0" # Retrieval server dependencies (not in requirements.txt) print_step "Installing retrieval server dependencies..." pip install sentence-transformers flask print_step "Downloading data..." python scripts/download_data.py echo -e "${GREEN}Installation completed successfully!${NC}" echo "To activate the environment, run: conda activate ragen" echo "To install WebShop separately, run: bash scripts/setup_webshop.sh" # export CMAKE_POLICY_VERSION_MINIMUM=3.5 && pip install alfworld[full] # alfworld-download } # Run main installation main