import argparse import glob import hashlib import os import platform import re import signal import site import subprocess import sys # Remove the '# ' from the following lines as needed for your AMD GPU on Linux # os.environ["ROCM_PATH"] = '/opt/rocm' # os.environ["HSA_OVERRIDE_GFX_VERSION"] = '10.3.0' # os.environ["HCC_AMDGPU_TARGET"] = 'gfx1030' # Define the required PyTorch version TORCH_VERSION = "2.2.1" TORCHVISION_VERSION = "0.17.1" TORCHAUDIO_VERSION = "2.2.1" # Environment script_dir = os.getcwd() conda_env_path = os.path.join(script_dir, "installer_files", "env") # Command-line flags cmd_flags_path = os.path.join(script_dir, "CMD_FLAGS.txt") if os.path.exists(cmd_flags_path): with open(cmd_flags_path, 'r') as f: CMD_FLAGS = ' '.join(line.strip().rstrip('\\').strip() for line in f if line.strip().rstrip('\\').strip() and not line.strip().startswith('#')) else: CMD_FLAGS = '' flags = f"{' '.join([flag for flag in sys.argv[1:] if flag != '--update'])} {CMD_FLAGS}" def signal_handler(sig, frame): sys.exit(0) signal.signal(signal.SIGINT, signal_handler) def is_linux(): return sys.platform.startswith("linux") def is_windows(): return sys.platform.startswith("win") def is_macos(): return sys.platform.startswith("darwin") def is_x86_64(): return platform.machine() == "x86_64" def cpu_has_avx2(): try: import cpuinfo info = cpuinfo.get_cpu_info() if 'avx2' in info['flags']: return True else: return False except: return True def cpu_has_amx(): try: import cpuinfo info = cpuinfo.get_cpu_info() if 'amx' in info['flags']: return True else: return False except: return True def torch_version(): site_packages_path = None for sitedir in site.getsitepackages(): if "site-packages" in sitedir and conda_env_path in sitedir: site_packages_path = sitedir break if site_packages_path: torch_version_file = open(os.path.join(site_packages_path, 'torch', 'version.py')).read().splitlines() torver = [line for line in torch_version_file if line.startswith('__version__')][0].split('__version__ = ')[1].strip("'") else: from torch import __version__ as torver return torver def update_pytorch(): print_big_message("Checking for PyTorch updates") torver = torch_version() is_cuda = '+cu' in torver is_cuda118 = '+cu118' in torver # 2.1.0+cu118 is_rocm = '+rocm' in torver # 2.0.1+rocm5.4.2 is_intel = '+cxx11' in torver # 2.0.1a0+cxx11.abi is_cpu = '+cpu' in torver # 2.0.1+cpu install_pytorch = f"python -m pip install --upgrade torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION} " if is_cuda118: install_pytorch += "--index-url https://download.pytorch.org/whl/cu118" elif is_cuda: install_pytorch += "--index-url https://download.pytorch.org/whl/cu121" elif is_rocm: install_pytorch += "--index-url https://download.pytorch.org/whl/rocm5.6" elif is_cpu: install_pytorch += "--index-url https://download.pytorch.org/whl/cpu" elif is_intel: if is_linux(): install_pytorch = "python -m pip install --upgrade torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" else: install_pytorch = "python -m pip install --upgrade torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" run_cmd(f"{install_pytorch}", assert_success=True, environment=True) def is_installed(): site_packages_path = None for sitedir in site.getsitepackages(): if "site-packages" in sitedir and conda_env_path in sitedir: site_packages_path = sitedir break if site_packages_path: return os.path.isfile(os.path.join(site_packages_path, 'torch', '__init__.py')) else: return os.path.isdir(conda_env_path) def check_env(): # If we have access to conda, we are probably in an environment conda_exist = run_cmd("conda", environment=True, capture_output=True).returncode == 0 if not conda_exist: print("Conda is not installed. Exiting...") sys.exit(1) # Ensure this is a new environment and not the base environment if os.environ["CONDA_DEFAULT_ENV"] == "base": print("Create an environment for this project and activate it. Exiting...") sys.exit(1) def clear_cache(): run_cmd("conda clean -a -y", environment=True) run_cmd("python -m pip cache purge", environment=True) def print_big_message(message): message = message.strip() lines = message.split('\n') print("\n\n*******************************************************************") for line in lines: if line.strip() != '': print("*", line) print("*******************************************************************\n\n") def calculate_file_hash(file_path): p = os.path.join(script_dir, file_path) if os.path.isfile(p): with open(p, 'rb') as f: return hashlib.sha256(f.read()).hexdigest() else: return '' def run_cmd(cmd, assert_success=False, environment=False, capture_output=False, env=None): # Use the conda environment if environment: if is_windows(): conda_bat_path = os.path.join(script_dir, "installer_files", "conda", "condabin", "conda.bat") cmd = f'"{conda_bat_path}" activate "{conda_env_path}" >nul && {cmd}' else: conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh") cmd = f'. "{conda_sh_path}" && conda activate "{conda_env_path}" && {cmd}' # Run shell commands result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env) # Assert the command ran successfully if assert_success and result.returncode != 0: print(f"Command '{cmd}' failed with exit status code '{str(result.returncode)}'.\n\nExiting now.\nTry running the start/update script again.") sys.exit(1) return result def install_webui(): # Ask the user for the GPU vendor if "GPU_CHOICE" in os.environ: choice = os.environ["GPU_CHOICE"].upper() print_big_message(f"Selected GPU choice \"{choice}\" based on the GPU_CHOICE environment variable.") else: print() print("What is your GPU?") print() print("A) NVIDIA") print("B) AMD (Linux/MacOS only. Requires ROCm SDK 5.6 on Linux)") print("C) Apple M Series") print("D) Intel Arc (IPEX)") print("N) None (I want to run models in CPU mode)") print() choice = input("Input> ").upper() while choice not in 'ABCDN': print("Invalid choice. Please try again.") choice = input("Input> ").upper() gpu_choice_to_name = { "A": "NVIDIA", "B": "AMD", "C": "APPLE", "D": "INTEL", "N": "NONE" } selected_gpu = gpu_choice_to_name[choice] use_cuda118 = "N" # Write a flag to CMD_FLAGS.txt for CPU mode if selected_gpu == "NONE": with open(cmd_flags_path, 'r+') as cmd_flags_file: if "--cpu" not in cmd_flags_file.read(): print_big_message("Adding the --cpu flag to CMD_FLAGS.txt.") cmd_flags_file.write("\n--cpu\n") # Check if the user wants CUDA 11.8 elif any((is_windows(), is_linux())) and selected_gpu == "NVIDIA": if "USE_CUDA118" in os.environ: use_cuda118 = "Y" if os.environ.get("USE_CUDA118", "").lower() in ("yes", "y", "true", "1", "t", "on") else "N" else: print("\nDo you want to use CUDA 11.8 instead of 12.1? Only choose this option if your GPU is very old (Kepler or older).\n\nFor RTX and GTX series GPUs, say \"N\".\nIf unsure, say \"N\".\n") use_cuda118 = input("Input (Y/N)> ").upper().strip('"\'').strip() while use_cuda118 not in 'YN': print("Invalid choice. Please try again.") use_cuda118 = input("Input> ").upper().strip('"\'').strip() if use_cuda118 == 'Y': print("CUDA: 11.8") else: print("CUDA: 12.1") # No PyTorch for AMD on Windows (?) elif is_windows() and selected_gpu == "AMD": print("PyTorch setup on Windows is not implemented yet. Exiting...") sys.exit(1) # Find the Pytorch installation command install_pytorch = f"python -m pip install torch=={TORCH_VERSION} torchvision=={TORCHVISION_VERSION} torchaudio=={TORCHAUDIO_VERSION} " if selected_gpu == "NVIDIA": if use_cuda118 == 'Y': install_pytorch += "--index-url https://download.pytorch.org/whl/cu118" else: install_pytorch += "--index-url https://download.pytorch.org/whl/cu121" elif selected_gpu == "AMD": install_pytorch += "--index-url https://download.pytorch.org/whl/rocm5.6" elif selected_gpu in ["APPLE", "NONE"]: install_pytorch += "--index-url https://download.pytorch.org/whl/cpu" elif selected_gpu == "INTEL": if is_linux(): install_pytorch = "python -m pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" else: install_pytorch = "python -m pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" # Install Git and then Pytorch print_big_message("Installing PyTorch.") run_cmd(f"conda install -y -k ninja git && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True) if selected_gpu == "INTEL": # Install oneAPI dependencies via conda print_big_message("Installing Intel oneAPI runtime libraries.") run_cmd("conda install -y -c intel dpcpp-cpp-rt=2024.0 mkl-dpcpp=2024.0") # Install libuv required by Intel-patched torch run_cmd("conda install -y libuv") # Install the webui requirements update_requirements(initial_installation=True) def install_extensions_requirements(): print_big_message("Installing extensions requirements.\nSome of these may fail on Windows. Don\'t worry if you see error messages. They will not affect the main program.") extensions = [foldername for foldername in os.listdir('extensions') if os.path.isfile(os.path.join('extensions', foldername, 'requirements.txt'))] for i, extension in enumerate(extensions): print(f"\n\n--- [{i+1}/{len(extensions)}]: {extension}\n\n") extension_req_path = os.path.join("extensions", extension, "requirements.txt") run_cmd(f"python -m pip install -r {extension_req_path} --upgrade", assert_success=False, environment=True) def update_requirements(initial_installation=False): # Create .git directory if missing if not os.path.exists(os.path.join(script_dir, ".git")): git_creation_cmd = 'git init -b main && git remote add origin https://github.com/oobabooga/text-generation-webui && git fetch && git symbolic-ref refs/remotes/origin/HEAD refs/remotes/origin/main && git reset --hard origin/main && git branch --set-upstream-to=origin/main' run_cmd(git_creation_cmd, environment=True, assert_success=True) files_to_check = [ 'start_linux.sh', 'start_macos.sh', 'start_windows.bat', 'start_wsl.bat', 'update_linux.sh', 'update_macos.sh', 'update_windows.bat', 'update_wsl.bat', 'one_click.py' ] print_big_message("Updating the local copy of the repository with \"git pull\"") before_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check} run_cmd("git pull --autostash", assert_success=True, environment=True) after_pull_hashes = {file_name: calculate_file_hash(file_name) for file_name in files_to_check} # Check for differences in installation file hashes for file_name in files_to_check: if before_pull_hashes[file_name] != after_pull_hashes[file_name]: print_big_message(f"File '{file_name}' was updated during 'git pull'. Please run the script again.") exit(1) # Update PyTorch if not initial_installation: update_pytorch() # Detect the PyTorch version torver = torch_version() is_cuda = '+cu' in torver is_cuda118 = '+cu118' in torver # 2.1.0+cu118 is_rocm = '+rocm' in torver # 2.0.1+rocm5.4.2 is_intel = '+cxx11' in torver # 2.0.1a0+cxx11.abi is_cpu = '+cpu' in torver # 2.0.1+cpu if is_rocm: base_requirements = "requirements_amd" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" elif is_cpu or is_intel: base_requirements = "requirements_cpu_only" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" elif is_macos(): base_requirements = "requirements_apple_" + ("intel" if is_x86_64() else "silicon") + ".txt" else: base_requirements = "requirements" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" requirements_file = base_requirements print_big_message(f"Installing webui requirements from file: {requirements_file}") print(f"TORCH: {torver}\n") # Prepare the requirements file textgen_requirements = open(requirements_file).read().splitlines() if is_cuda118: textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements] if is_windows() and is_cuda118: # No flash-attention on Windows for CUDA 11 textgen_requirements = [req for req in textgen_requirements if 'jllllll/flash-attention' not in req] with open('temp_requirements.txt', 'w') as file: file.write('\n'.join(textgen_requirements)) # Workaround for git+ packages not updating properly. git_requirements = [req for req in textgen_requirements if req.startswith("git+")] for req in git_requirements: url = req.replace("git+", "") package_name = url.split("/")[-1].split("@")[0].rstrip(".git") run_cmd(f"python -m pip uninstall -y {package_name}", environment=True) print(f"Uninstalled {package_name}") # Install/update the project requirements run_cmd("python -m pip install -r temp_requirements.txt --upgrade", assert_success=True, environment=True) os.remove('temp_requirements.txt') # Check for '+cu' or '+rocm' in version string to determine if torch uses CUDA or ROCm. Check for pytorch-cuda as well for backwards compatibility if not any((is_cuda, is_rocm)) and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1: clear_cache() return if not os.path.exists("repositories/"): os.mkdir("repositories") clear_cache() def launch_webui(): run_cmd(f"python server.py {flags}", environment=True) if __name__ == "__main__": # Verifies we are in a conda environment check_env() parser = argparse.ArgumentParser(add_help=False) parser.add_argument('--update', action='store_true', help='Update the web UI.') parser.add_argument('--install-extensions', action='store_true', help='Install extensions requirements.') args, _ = parser.parse_known_args() if args.update: update_requirements() elif args.install_extensions: install_extensions_requirements() update_requirements() else: if not is_installed(): install_webui() os.chdir(script_dir) script_name = "extensions_reqs_windows.bat" if is_windows() else ("extensions_reqs_linux.sh" if is_linux() else "extensions_reqs_macos.sh") print_big_message(f"The installation is finished.\n\nIf you wish to install or update extensions requirements, you can\nrun the following script at any time: {script_name}.") if os.environ.get("LAUNCH_AFTER_INSTALL", "").lower() in ("no", "n", "false", "0", "f", "off"): print_big_message("Will now exit due to LAUNCH_AFTER_INSTALL.") sys.exit() # Check if a model has been downloaded yet if '--model-dir' in flags: # Splits on ' ' or '=' while maintaining spaces within quotes flags_list = re.split(' +(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)|=', flags) model_dir = [flags_list[(flags_list.index(flag) + 1)] for flag in flags_list if flag == '--model-dir'][0].strip('"\'') else: model_dir = 'models' if len([item for item in glob.glob(f'{model_dir}/*') if not item.endswith(('.txt', '.yaml'))]) == 0: print_big_message("You haven't downloaded any model yet.\nOnce the web UI launches, head over to the \"Model\" tab and download one.") # Workaround for llama-cpp-python loading paths in CUDA env vars even if they do not exist conda_path_bin = os.path.join(conda_env_path, "bin") if not os.path.exists(conda_path_bin): os.mkdir(conda_path_bin) # Launch the webui launch_webui()