#!/bin/bash # ============================================================= # UIPress: 环境搭建脚本 (双环境) # # DeepSeek-OCR 需要 transformers==4.46.3 # Qwen VL 需要 transformers>=4.51 # 两者不兼容,因此需要两个独立的 conda 环境。 # # 用法: # bash scripts/setup_env.sh # 搭建两个环境 # bash scripts/setup_env.sh deepseek # 只搭建 DeepSeek 环境 # bash scripts/setup_env.sh qwen # 只搭建 Qwen 环境 # ============================================================= set -e PROJ_DIR="$(cd "$(dirname "$0")/.." && pwd)" cd "$PROJ_DIR" # 国内镜像 export HF_ENDPOINT=${HF_ENDPOINT:-https://hf-mirror.com} export HF_HOME=${HF_HOME:-/root/rivermind-data/huggingface} mkdir -p "$HF_HOME" TARGET=${1:-all} # --- 检测 CUDA 版本 --- detect_cuda() { if command -v nvcc &>/dev/null; then CUDA_VER=$(nvcc --version | grep -oP 'release \K[0-9]+\.[0-9]+') elif [ -f /usr/local/cuda/version.txt ]; then CUDA_VER=$(cat /usr/local/cuda/version.txt | grep -oP '[0-9]+\.[0-9]+') else CUDA_VER="11.8" fi if [[ "$CUDA_VER" == 12.* ]]; then TORCH_INDEX="https://download.pytorch.org/whl/cu121" else TORCH_INDEX="https://download.pytorch.org/whl/cu118" fi echo " Detected CUDA $CUDA_VER -> PyTorch index: $TORCH_INDEX" } setup_deepseek() { echo "" echo "==========================================" echo "[ENV 1] uipress-deepseek" echo " transformers==4.46.3 (required by DeepSeek-OCR)" echo "==========================================" detect_cuda conda create -n uipress-deepseek python=3.11 -y 2>/dev/null || true # 使用 conda run 避免 conda activate 在脚本中的问题 conda run -n uipress-deepseek pip install \ torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 \ --index-url "$TORCH_INDEX" conda run -n uipress-deepseek pip install \ -r "$PROJ_DIR/requirements_deepseek.txt" # Flash Attention (optional but recommended) conda run -n uipress-deepseek pip install \ flash-attn==2.7.3 --no-build-isolation 2>/dev/null || \ echo " [WARN] flash-attn install failed. Will use eager attention." echo "[OK] uipress-deepseek ready!" } setup_qwen() { echo "" echo "==========================================" echo "[ENV 2] uipress-qwen" echo " transformers>=4.51 (for Qwen2.5-VL)" echo "==========================================" detect_cuda conda create -n uipress-qwen python=3.11 -y 2>/dev/null || true conda run -n uipress-qwen pip install \ torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 \ --index-url "$TORCH_INDEX" conda run -n uipress-qwen pip install \ -r "$PROJ_DIR/requirements_qwen.txt" echo "[OK] uipress-qwen ready!" echo "" echo " [Optional] For Qwen3-VL support, also run:" echo " conda activate uipress-qwen" echo " pip install git+https://github.com/huggingface/transformers" } case $TARGET in deepseek) setup_deepseek ;; qwen) setup_qwen ;; all) setup_deepseek; setup_qwen ;; *) echo "Usage: $0 [deepseek|qwen|all]"; exit 1 ;; esac echo "" echo "==========================================" echo "Environment setup complete!" echo "" echo "Next: download data (either env works):" echo " conda activate uipress-qwen" echo " python scripts/download_data.py" echo "=========================================="