File size: 3,599 Bytes
bb01096 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | #!/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 "=========================================="
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