zenn
7101fdcd65
FastAPI backend, web UI, CosyVoice3/F5-TTS setup scripts, and handoff docs for GPU PC continuation. Co-authored-by: Cursor <cursoragent@cursor.com>
78 lines
1.7 KiB
Bash
Executable File
78 lines
1.7 KiB
Bash
Executable File
#!/usr/bin/env bash
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# NVIDIA GPU + CUDA 환경 점검
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set -euo pipefail
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ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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cd "$ROOT"
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echo "=== TTS 환경 점검 ==="
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echo "프로젝트: $ROOT"
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echo
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echo "--- OS / CPU ---"
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uname -a
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echo
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echo "--- Python ---"
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if command -v python3 &>/dev/null; then
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python3 --version
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which python3
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else
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echo "python3: 없음"
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fi
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echo
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echo "--- NVIDIA GPU ---"
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if command -v nvidia-smi &>/dev/null; then
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nvidia-smi
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echo
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nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv
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else
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echo "nvidia-smi: 사용 불가 (NVIDIA GPU 서버에서 실행하세요)"
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fi
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echo
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echo "--- CUDA (nvcc) ---"
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if command -v nvcc &>/dev/null; then
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nvcc --version | head -4
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else
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echo "nvcc: 없음 (PyTorch CUDA 빌드로도 동작 가능)"
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fi
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echo
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echo "--- PyTorch (API venv) ---"
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API_VENV="$ROOT/.venvs/api"
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if [[ -x "$API_VENV/bin/python" ]]; then
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"$API_VENV/bin/python" -c "
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import sys
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try:
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import torch
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print('torch:', torch.__version__)
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print('cuda available:', torch.cuda.is_available())
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if torch.cuda.is_available():
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print('device:', torch.cuda.get_device_name(0))
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except ImportError:
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print('torch: 미설치 (API만 사용 시 정상)')
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" 2>/dev/null || true
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else
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echo "API venv 없음 → ./scripts/setup_api.sh 실행"
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fi
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echo
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echo "--- 모델 venv ---"
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for name in f5tts cosyvoice; do
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V="$ROOT/.venvs/$name"
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if [[ -x "$V/bin/python" ]]; then
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echo "[$name] OK: $V"
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else
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echo "[$name] 없음 → setup_${name}.sh (f5tts는 setup_f5tts.sh)"
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fi
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done
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echo
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echo "--- 디렉터리 ---"
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for d in samples outputs models config backend web; do
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[[ -d "$ROOT/$d" ]] && echo " $d: OK" || echo " $d: MISSING"
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done
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echo "점검 완료."
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