3cf999c32e
- Simplify experiment plan with clear phases and current status - Add complete MuJoCo setup instructions for fine-tuning - Update install script to include all dependencies - Document current validation progress and next steps
55 lines
1.5 KiB
Bash
Executable File
55 lines
1.5 KiB
Bash
Executable File
#!/bin/bash
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#SBATCH --job-name=dppo_install
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#SBATCH --account=hk-project-p0022232
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#SBATCH --partition=dev_accelerated
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#SBATCH --gres=gpu:1
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#SBATCH --nodes=1
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#SBATCH --ntasks-per-node=1
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#SBATCH --cpus-per-task=4
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#SBATCH --time=00:30:00
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#SBATCH --mem=16G
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#SBATCH --output=logs/dppo_install_%j.out
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#SBATCH --error=logs/dppo_install_%j.err
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# Load CUDA module (required for PyTorch)
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module load devel/cuda/12.4
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# Print job info
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echo "Starting DPPO installation..."
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echo "Job ID: $SLURM_JOB_ID"
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echo "Node: $SLURM_NODELIST"
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echo "GPU: $CUDA_VISIBLE_DEVICES"
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# Navigate to dppo directory (uses current directory)
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cd $SLURM_SUBMIT_DIR
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# Create and activate virtual environment with Python 3.10
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python3.10 -m venv .venv
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source .venv/bin/activate
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# Upgrade pip
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pip install --upgrade pip
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# Install base package
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pip install -e .
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# Install ALL optional dependencies (except Kitchen which has conflicts)
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pip install -e .[all]
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echo "Installation completed!"
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echo "Python version: $(python --version)"
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echo "Pip version: $(pip --version)"
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echo ""
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echo "=== IMPORTANT: MuJoCo Setup for Fine-tuning ==="
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echo "1. Install MuJoCo 2.1.0: https://github.com/openai/mujoco-py#install-mujoco"
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echo "2. Add these environment variables to your SLURM scripts:"
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echo "export MUJOCO_PY_MUJOCO_PATH=\$HOME/.mujoco/mujoco210"
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echo "export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:\$HOME/.mujoco/mujoco210/bin:/usr/lib/nvidia"
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echo "export MUJOCO_GL=egl"
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echo ""
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echo "Pre-training works without MuJoCo setup."
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echo ""
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echo "Installed packages:"
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pip list |