setup_ubuntu_kaira.sh

#!/usr/bin/env bash
set -euo pipefail

# 1) Sistem
sudo apt-get update
sudo apt-get -y install python3 python3-venv python3-dev build-essential git wget curl tmux htop nvtop

# 2) CUDA 12.1 (Ubuntu 22.04)
wget -q https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda-toolkit-12-1

if ! grep -q "/usr/local/cuda/bin" ~/.bashrc; then
  echo 'export PATH=/usr/local/cuda/bin:$PATH' >> ~/.bashrc
  echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
fi

# 3) Python venv + PyTorch cu121
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

# 4) Proje bağımlılıkları
cat > requirements.txt <<'REQ'
transformers>=4.41
sentencepiece>=0.2.0
tqdm>=4.66
accelerate>=0.30
huggingface-hub>=0.23
bitsandbytes>=0.43
hf_transfer>=0.1.6
datasets>=2.19
gpustat>=1.1
nvitop>=1.3
REQ
pip install -r requirements.txt

# 5) Doğrulama
python - << 'PY'
import torch
print("cuda?", torch.cuda.is_available(), "gpus=", torch.cuda.device_count())
for i in range(torch.cuda.device_count()):
    print(i, torch.cuda.get_device_name(i))
PY

echo "OK - Kurulum bitti. 'source venv/bin/activate' ve eğitim komutuna hazırsın."