mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-08-31 03:05:40 +08:00
add both
This commit is contained in:
samiabat
parent
ab57a042bb
commit
602357e55f
2
api.py
2
api.py
@ -1177,7 +1177,7 @@ def version_4_cli(
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elif character_name == "Baacharu" or character_name == "baacharu":
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path = "idols/baacharu/baacharu.wav"
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GPT_model_path = "GPT_SoVITS/pretrained_models/baacharu-e40.ckpt"
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SoVITS_model_path = "GPT_SoVITS/pretrained_models/s2Gv2ProPlus.pth"
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SoVITS_model_path = "GPT_SoVITS/pretrained_models/baacharu_e15_s1320_l32.pth"
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ref_language = "日文"
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elif character_name in ["Ikko", "ikko", "Ikka", "ikka"]:
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if loudness_boost:
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408
install.sh
408
install.sh
@ -1,21 +1,403 @@
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# #!/bin/bash
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# # 安装构建工具
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# # Install build tools
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# conda install -c conda-forge gcc=14
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# conda install -c conda-forge gxx
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# conda install ffmpeg cmake
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# # 设置编译环境
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# # Set up build environment
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# export CMAKE_MAKE_PROGRAM="$CONDA_PREFIX/bin/cmake"
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# export CC="$CONDA_PREFIX/bin/gcc"
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# export CXX="$CONDA_PREFIX/bin/g++"
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# conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
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# # 刷新环境
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# # Refresh environment
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# hash -r
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# pip install -r requirements.txt
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#!/bin/bash
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# 安装构建工具
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# cd into GPT-SoVITS Base Path
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)"
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cd "$SCRIPT_DIR" || exit 1
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RESET="\033[0m"
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BOLD="\033[1m"
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ERROR="\033[1;31m[ERROR]: $RESET"
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WARNING="\033[1;33m[WARNING]: $RESET"
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INFO="\033[1;32m[INFO]: $RESET"
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SUCCESS="\033[1;34m[SUCCESS]: $RESET"
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set -eE
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set -o errtrace
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trap 'on_error $LINENO "$BASH_COMMAND" $?' ERR
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# shellcheck disable=SC2317
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on_error() {
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local lineno="$1"
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local cmd="$2"
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local code="$3"
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echo -e "${ERROR}${BOLD}Command \"${cmd}\" Failed${RESET} at ${BOLD}Line ${lineno}${RESET} with Exit Code ${BOLD}${code}${RESET}"
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echo -e "${ERROR}${BOLD}Call Stack:${RESET}"
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for ((i = ${#FUNCNAME[@]} - 1; i >= 1; i--)); do
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echo -e " in ${BOLD}${FUNCNAME[i]}()${RESET} at ${BASH_SOURCE[i]}:${BOLD}${BASH_LINENO[i - 1]}${RESET}"
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done
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exit "$code"
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}
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run_conda_quiet() {
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local output
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output=$(conda install --yes --quiet -c conda-forge "$@" 2>&1) || {
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echo -e "${ERROR} Conda install failed:\n$output"
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exit 1
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}
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}
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run_pip_quiet() {
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local output
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output=$(pip install "$@" 2>&1) || {
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echo -e "${ERROR} Pip install failed:\n$output"
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exit 1
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}
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}
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run_wget_quiet() {
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if wget --tries=25 --wait=5 --read-timeout=40 -q --show-progress "$@" 2>&1; then
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tput cuu1 && tput el
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else
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echo -e "${ERROR} Wget failed"
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exit 1
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fi
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}
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if ! command -v conda &>/dev/null; then
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echo -e "${ERROR}Conda Not Found"
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exit 1
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fi
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USE_CUDA=false
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USE_ROCM=false
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USE_CPU=false
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WORKFLOW=${WORKFLOW:-"false"}
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USE_HF=false
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USE_HF_MIRROR=false
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USE_MODELSCOPE=false
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DOWNLOAD_UVR5=false
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print_help() {
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echo "Usage: bash install.sh [OPTIONS]"
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echo ""
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echo "Options:"
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echo " --device CU126|CU128|ROCM|MPS|CPU Specify the Device (REQUIRED)"
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echo " --source HF|HF-Mirror|ModelScope Specify the model source (REQUIRED)"
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echo " --download-uvr5 Enable downloading the UVR5 model"
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echo " -h, --help Show this help message and exit"
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echo ""
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echo "Examples:"
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echo " bash install.sh --device CU128 --source HF --download-uvr5"
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echo " bash install.sh --device MPS --source ModelScope"
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}
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# Show help if no arguments provided
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if [[ $# -eq 0 ]]; then
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print_help
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exit 0
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fi
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# Parse arguments
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--source)
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case "$2" in
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HF)
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USE_HF=true
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;;
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HF-Mirror)
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USE_HF_MIRROR=true
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;;
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ModelScope)
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USE_MODELSCOPE=true
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;;
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*)
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echo -e "${ERROR}Error: Invalid Download Source: $2"
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echo -e "${ERROR}Choose From: [HF, HF-Mirror, ModelScope]"
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exit 1
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;;
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esac
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shift 2
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;;
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--device)
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case "$2" in
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CU126)
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CUDA=126
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USE_CUDA=true
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;;
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CU128)
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CUDA=128
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USE_CUDA=true
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;;
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ROCM)
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USE_ROCM=true
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;;
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MPS)
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USE_CPU=true
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;;
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CPU)
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USE_CPU=true
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;;
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*)
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echo -e "${ERROR}Error: Invalid Device: $2"
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echo -e "${ERROR}Choose From: [CU126, CU128, ROCM, MPS, CPU]"
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exit 1
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;;
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esac
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shift 2
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;;
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--download-uvr5)
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DOWNLOAD_UVR5=true
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shift
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;;
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-h | --help)
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print_help
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exit 0
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;;
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*)
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echo -e "${ERROR}Unknown Argument: $1"
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echo ""
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print_help
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exit 1
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;;
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esac
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done
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if ! $USE_CUDA && ! $USE_ROCM && ! $USE_CPU; then
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echo -e "${ERROR}Error: Device is REQUIRED"
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echo ""
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print_help
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exit 1
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fi
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if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
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echo -e "${ERROR}Error: Download Source is REQUIRED"
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echo ""
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print_help
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exit 1
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fi
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case "$(uname -m)" in
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x86_64 | amd64) SYSROOT_PKG="sysroot_linux-64>=2.28" ;;
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aarch64 | arm64) SYSROOT_PKG="sysroot_linux-aarch64>=2.28" ;;
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ppc64le) SYSROOT_PKG="sysroot_linux-ppc64le>=2.28" ;;
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*)
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echo "Unsupported architecture: $(uname -m)"
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exit 1
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;;
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esac
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# Install build tools
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conda install -c conda-forge gcc=14
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conda install -c conda-forge gxx
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conda install ffmpeg cmake
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echo -e "${INFO}Detected system: $(uname -s) $(uname -r) $(uname -m)"
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if [ "$(uname)" != "Darwin" ]; then
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gcc_major_version=$(command -v gcc >/dev/null 2>&1 && gcc -dumpversion | cut -d. -f1 || echo 0)
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if [ "$gcc_major_version" -lt 11 ]; then
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echo -e "${INFO}Installing GCC & G++..."
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run_conda_quiet gcc=11 gxx=11
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run_conda_quiet "$SYSROOT_PKG"
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echo -e "${SUCCESS}GCC & G++ Installed..."
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else
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echo -e "${INFO}Detected GCC Version: $gcc_major_version"
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echo -e "${INFO}Skip Installing GCC & G++ From Conda-Forge"
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echo -e "${INFO}Installing libstdcxx-ng From Conda-Forge"
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run_conda_quiet "libstdcxx-ng>=$gcc_major_version"
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echo -e "${SUCCESS}libstdcxx-ng=$gcc_major_version Installed..."
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fi
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else
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if ! xcode-select -p &>/dev/null; then
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echo -e "${INFO}Installing Xcode Command Line Tools..."
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xcode-select --install
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echo -e "${INFO}Waiting For Xcode Command Line Tools Installation Complete..."
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while true; do
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sleep 20
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# 设置编译环境
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# Set up build environment
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export CMAKE_MAKE_PROGRAM="$CONDA_PREFIX/bin/cmake"
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export CC="$CONDA_PREFIX/bin/gcc"
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export CXX="$CONDA_PREFIX/bin/g++"
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if xcode-select -p &>/dev/null; then
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echo -e "${SUCCESS}Xcode Command Line Tools Installed"
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break
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else
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echo -e "${INFO}Installing，Please Wait..."
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fi
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done
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else
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XCODE_PATH=$(xcode-select -p)
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if [[ "$XCODE_PATH" == *"Xcode.app"* ]]; then
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echo -e "${WARNING} Detected Xcode path: $XCODE_PATH"
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echo -e "${WARNING} If your Xcode version does not match your macOS version, it may cause unexpected issues during compilation or package builds."
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fi
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fi
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fi
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conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
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echo -e "${INFO}Installing FFmpeg & CMake..."
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run_conda_quiet ffmpeg cmake make
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echo -e "${SUCCESS}FFmpeg & CMake Installed"
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echo -e "${INFO}Installing unzip..."
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run_conda_quiet unzip
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echo -e "${SUCCESS}unzip Installed"
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if [ "$USE_HF" = "true" ]; then
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echo -e "${INFO}Download Model From HuggingFace"
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PRETRINED_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
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G2PW_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
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UVR5_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
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NLTK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
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PYOPENJTALK_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
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elif [ "$USE_HF_MIRROR" = "true" ]; then
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echo -e "${INFO}Download Model From HuggingFace-Mirror"
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PRETRINED_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
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G2PW_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip"
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UVR5_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/uvr5_weights.zip"
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NLTK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/nltk_data.zip"
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PYOPENJTALK_URL="https://hf-mirror.com/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/open_jtalk_dic_utf_8-1.11.tar.gz"
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elif [ "$USE_MODELSCOPE" = "true" ]; then
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echo -e "${INFO}Download Model From ModelScope"
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PRETRINED_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/pretrained_models.zip"
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G2PW_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip"
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UVR5_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/uvr5_weights.zip"
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NLTK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/nltk_data.zip"
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PYOPENJTALK_URL="https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/open_jtalk_dic_utf_8-1.11.tar.gz"
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fi
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if [ ! -d "GPT_SoVITS/pretrained_models/sv" ]; then
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echo -e "${INFO}Downloading Pretrained Models..."
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rm -rf pretrained_models.zip
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run_wget_quiet "$PRETRINED_URL"
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unzip -q -o pretrained_models.zip -d GPT_SoVITS
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rm -rf pretrained_models.zip
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echo -e "${SUCCESS}Pretrained Models Downloaded"
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else
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echo -e "${INFO}Pretrained Model Exists"
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echo -e "${INFO}Skip Downloading Pretrained Models"
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fi
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if [ ! -d "GPT_SoVITS/text/G2PWModel" ]; then
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echo -e "${INFO}Downloading G2PWModel.."
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rm -rf G2PWModel.zip
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run_wget_quiet "$G2PW_URL"
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unzip -q -o G2PWModel.zip -d GPT_SoVITS/text
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rm -rf G2PWModel.zip
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echo -e "${SUCCESS}G2PWModel Downloaded"
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else
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echo -e "${INFO}G2PWModel Exists"
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echo -e "${INFO}Skip Downloading G2PWModel"
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fi
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if [ "$DOWNLOAD_UVR5" = "true" ]; then
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if find -L "tools/uvr5/uvr5_weights" -mindepth 1 ! -name '.gitignore' | grep -q .; then
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echo -e"${INFO}UVR5 Models Exists"
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echo -e "${INFO}Skip Downloading UVR5 Models"
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else
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echo -e "${INFO}Downloading UVR5 Models..."
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rm -rf uvr5_weights.zip
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run_wget_quiet "$UVR5_URL"
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unzip -q -o uvr5_weights.zip -d tools/uvr5
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rm -rf uvr5_weights.zip
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echo -e "${SUCCESS}UVR5 Models Downloaded"
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fi
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fi
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if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
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echo -e "${INFO}Checking For Nvidia Driver Installation..."
|
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if command -v nvidia-smi &>/dev/null; then
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echo "${INFO}Nvidia Driver Founded"
|
||||
else
|
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echo -e "${WARNING}Nvidia Driver Not Found, Fallback to CPU"
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USE_CUDA=false
|
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USE_CPU=true
|
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fi
|
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fi
|
||||
|
||||
if [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
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echo -e "${INFO}Checking For ROCm Installation..."
|
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if [ -d "/opt/rocm" ]; then
|
||||
echo -e "${INFO}ROCm Founded"
|
||||
if grep -qi "microsoft" /proc/version; then
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||||
echo -e "${INFO}WSL2 Founded"
|
||||
IS_WSL=true
|
||||
else
|
||||
IS_WSL=false
|
||||
fi
|
||||
else
|
||||
echo -e "${WARNING}ROCm Not Found, Fallback to CPU"
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USE_ROCM=false
|
||||
USE_CPU=true
|
||||
fi
|
||||
fi
|
||||
|
||||
if [ "$USE_CUDA" = true ] && [ "$WORKFLOW" = false ]; then
|
||||
if [ "$CUDA" = 128 ]; then
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echo -e "${INFO}Installing PyTorch For CUDA 12.8..."
|
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run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cu128"
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elif [ "$CUDA" = 126 ]; then
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echo -e "${INFO}Installing PyTorch For CUDA 12.6..."
|
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run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cu126"
|
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fi
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elif [ "$USE_ROCM" = true ] && [ "$WORKFLOW" = false ]; then
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||||
echo -e "${INFO}Installing PyTorch For ROCm 6.2..."
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run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/rocm6.2"
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elif [ "$USE_CPU" = true ] && [ "$WORKFLOW" = false ]; then
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echo -e "${INFO}Installing PyTorch For CPU..."
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run_pip_quiet torch torchaudio --index-url "https://download.pytorch.org/whl/cpu"
|
||||
elif [ "$WORKFLOW" = false ]; then
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||||
echo -e "${ERROR}Unknown Err"
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||||
exit 1
|
||||
fi
|
||||
echo -e "${SUCCESS}PyTorch Installed"
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||||
|
||||
echo -e "${INFO}Installing Python Dependencies From requirements.txt..."
|
||||
|
||||
# 刷新环境
|
||||
# Refresh environment
|
||||
hash -r
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||||
|
||||
pip install -r requirements.txt
|
||||
run_pip_quiet -r extra-req.txt --no-deps
|
||||
|
||||
run_pip_quiet -r requirements.txt
|
||||
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||||
echo -e "${SUCCESS}Python Dependencies Installed"
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||||
|
||||
PY_PREFIX=$(python -c "import sys; print(sys.prefix)")
|
||||
PYOPENJTALK_PREFIX=$(python -c "import os, pyopenjtalk; print(os.path.dirname(pyopenjtalk.__file__))")
|
||||
|
||||
echo -e "${INFO}Downloading NLTK Data..."
|
||||
rm -rf nltk_data.zip
|
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run_wget_quiet "$NLTK_URL" -O nltk_data.zip
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unzip -q -o nltk_data -d "$PY_PREFIX"
|
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rm -rf nltk_data.zip
|
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echo -e "${SUCCESS}NLTK Data Downloaded"
|
||||
|
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echo -e "${INFO}Downloading Open JTalk Dict..."
|
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rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
|
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run_wget_quiet "$PYOPENJTALK_URL" -O open_jtalk_dic_utf_8-1.11.tar.gz
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||||
tar -xzf open_jtalk_dic_utf_8-1.11.tar.gz -C "$PYOPENJTALK_PREFIX"
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||||
rm -rf open_jtalk_dic_utf_8-1.11.tar.gz
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echo -e "${SUCCESS}Open JTalk Dic Downloaded"
|
||||
|
||||
if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
|
||||
echo -e "${INFO}Updating WSL Compatible Runtime Lib For ROCm..."
|
||||
location=$(pip show torch | grep Location | awk -F ": " '{print $2}')
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||||
cd "${location}"/torch/lib/ || exit
|
||||
rm libhsa-runtime64.so*
|
||||
cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
|
||||
echo -e "${SUCCESS}ROCm Runtime Lib Updated..."
|
||||
fi
|
||||
|
||||
echo -e "${SUCCESS}Installation Completed"
|
||||
|
||||
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Reference in New Issue
Block a user