RAGEN / scripts /setup_ragen_old.sh
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#!/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