GPT-SoVITS/install.sh
XXXXRT666 6c468583c5
Fix dependency-related issues via requirements update (#2236)
* Update requirements.txt

* Create constraints.txt

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* pyopenjtalk and onnx fix

* Update requirements.txt

* Update requirements.txt

* Update install.sh

* update shell install.sh

* update docs

* Update Install.sh

* fix bugs

* Update .gitignore

* Update .gitignore

* Update install.sh

* Update install.sh

* Update extra-req.txt

* Update requirements.txt
2025-03-31 11:27:12 +08:00

110 lines
2.9 KiB
Bash

#!/bin/bash
set -e
# 安装构建工具
# Install build tools
echo "Installing GCC..."
conda install -c conda-forge gcc=14 -y
echo "Installing G++..."
conda install -c conda-forge gxx -y
echo "Installing ffmpeg and cmake..."
conda install ffmpeg cmake -y
# 设置编译环境
# Set up build environment
export CMAKE_MAKE_PROGRAM="$CONDA_PREFIX/bin/cmake"
export CC="$CONDA_PREFIX/bin/gcc"
export CXX="$CONDA_PREFIX/bin/g++"
echo "Checking for CUDA installation..."
if command -v nvidia-smi &>/dev/null; then
USE_CUDA=true
echo "CUDA found."
else
echo "CUDA not found."
USE_CUDA=false
fi
if [ "$USE_CUDA" = false ]; then
echo "Checking for ROCm installation..."
if [ -d "/opt/rocm" ]; then
USE_ROCM=true
echo "ROCm found."
if grep -qi "microsoft" /proc/version; then
echo "You are running WSL."
IS_WSL=true
else
echo "You are NOT running WSL."
IS_WSL=false
fi
else
echo "ROCm not found."
USE_ROCM=false
fi
fi
if [ "$USE_CUDA" = true ]; then
echo "Installing PyTorch with CUDA support..."
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
elif [ "$USE_ROCM" = true ]; then
echo "Installing PyTorch with ROCm support..."
pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.2
else
echo "Installing PyTorch for CPU..."
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 cpuonly -c pytorch
fi
echo "Installing Python dependencies from requirements.txt..."
# 刷新环境
# Refresh environment
hash -r
# pyopenjtalk Installation
conda install jq -y
OS_TYPE=$(uname)
PACKAGE_NAME="pyopenjtalk"
VERSION=$(curl -s https://pypi.org/pypi/$PACKAGE_NAME/json | jq -r .info.version)
wget "https://files.pythonhosted.org/packages/source/${PACKAGE_NAME:0:1}/$PACKAGE_NAME/$PACKAGE_NAME-$VERSION.tar.gz"
TAR_FILE=$(ls ${PACKAGE_NAME}-*.tar.gz)
DIR_NAME="${TAR_FILE%.tar.gz}"
tar -xzf "$TAR_FILE"
rm "$TAR_FILE"
CMAKE_FILE="$DIR_NAME/lib/open_jtalk/src/CMakeLists.txt"
if [[ "$OS_TYPE" == "darwin"* ]]; then
sed -i '' -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
else
sed -i -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
fi
tar -czf "$TAR_FILE" "$DIR_NAME"
pip install "$TAR_FILE"
rm -rf "$TAR_FILE" "$DIR_NAME"
pip install -r extra-req.txt --no-deps
pip install -r requirements.txt
if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
echo "Update to WSL compatible runtime lib..."
location=$(pip show torch | grep Location | awk -F ": " '{print $2}')
cd "${location}"/torch/lib/ || exit
rm libhsa-runtime64.so*
cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
fi
echo "Installation completed successfully!"