mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-26 01:30:20 +01:00
308 lines
12 KiB
Python
308 lines
12 KiB
Python
import argparse
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import glob
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import os
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import platform
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import site
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import subprocess
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import sys
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script_dir = os.getcwd()
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conda_env_path = os.path.join(script_dir, "installer_files", "env")
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# Remove the '# ' from the following lines as needed for your AMD GPU on Linux
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# os.environ["ROCM_PATH"] = '/opt/rocm'
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# os.environ["HSA_OVERRIDE_GFX_VERSION"] = '10.3.0'
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# os.environ["HCC_AMDGPU_TARGET"] = 'gfx1030'
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# Command-line flags
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cmd_flags_path = os.path.join(script_dir, "CMD_FLAGS.txt")
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if os.path.exists(cmd_flags_path):
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with open(cmd_flags_path, 'r') as f:
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CMD_FLAGS = ' '.join(line.strip() for line in f if line.strip() and not line.strip().startswith('#'))
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else:
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CMD_FLAGS = ''
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def is_linux():
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return sys.platform.startswith("linux")
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def is_windows():
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return sys.platform.startswith("win")
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def is_macos():
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return sys.platform.startswith("darwin")
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def is_x86_64():
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return platform.machine() == "x86_64"
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def cpu_has_avx2():
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try:
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import cpuinfo
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info = cpuinfo.get_cpu_info()
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if 'avx2' in info['flags']:
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return True
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else:
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return False
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except:
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return True
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def torch_version():
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from torch import __version__ as torver
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return torver
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def is_installed():
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for sitedir in site.getsitepackages():
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if "site-packages" in sitedir and conda_env_path in sitedir:
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site_packages_path = sitedir
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break
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if site_packages_path:
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return os.path.isfile(os.path.join(site_packages_path, 'torch', '__init__.py'))
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else:
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return os.path.isdir(conda_env_path)
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def check_env():
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# If we have access to conda, we are probably in an environment
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conda_exist = run_cmd("conda", environment=True, capture_output=True).returncode == 0
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if not conda_exist:
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print("Conda is not installed. Exiting...")
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sys.exit()
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# Ensure this is a new environment and not the base environment
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if os.environ["CONDA_DEFAULT_ENV"] == "base":
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print("Create an environment for this project and activate it. Exiting...")
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sys.exit()
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def clear_cache():
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run_cmd("conda clean -a -y", environment=True)
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run_cmd("python -m pip cache purge", environment=True)
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def print_big_message(message):
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message = message.strip()
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lines = message.split('\n')
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print("\n\n*******************************************************************")
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for line in lines:
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if line.strip() != '':
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print("*", line)
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print("*******************************************************************\n\n")
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def run_cmd(cmd, assert_success=False, environment=False, capture_output=False, env=None):
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# Use the conda environment
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if environment:
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if is_windows():
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conda_bat_path = os.path.join(script_dir, "installer_files", "conda", "condabin", "conda.bat")
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cmd = "\"" + conda_bat_path + "\" activate \"" + conda_env_path + "\" >nul && " + cmd
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else:
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conda_sh_path = os.path.join(script_dir, "installer_files", "conda", "etc", "profile.d", "conda.sh")
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cmd = ". \"" + conda_sh_path + "\" && conda activate \"" + conda_env_path + "\" && " + cmd
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# Run shell commands
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result = subprocess.run(cmd, shell=True, capture_output=capture_output, env=env)
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# Assert the command ran successfully
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if assert_success and result.returncode != 0:
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print("Command '" + cmd + "' failed with exit status code '" + str(result.returncode) + "'. Exiting...")
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sys.exit()
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return result
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def install_webui():
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# Select your GPU, or choose to run in CPU mode
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if "GPU_CHOICE" in os.environ:
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choice = os.environ["GPU_CHOICE"].upper()
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print_big_message(f"Selected GPU choice \"{choice}\" based on the GPU_CHOICE environment variable.")
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else:
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print("What is your GPU?")
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print()
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print("A) NVIDIA")
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print("B) AMD (Linux/MacOS only. Requires ROCm SDK 5.4.2/5.4.3 on Linux)")
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print("C) Apple M Series")
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print("D) Intel Arc (IPEX)")
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print("N) None (I want to run models in CPU mode)")
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print()
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choice = input("Input> ").upper()
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while choice not in 'ABCDN':
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print("Invalid choice. Please try again.")
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choice = input("Input> ").upper()
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if choice == "N":
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print_big_message("Once the installation ends, make sure to open CMD_FLAGS.txt with\na text editor and add the --cpu flag.")
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# Find the proper Pytorch installation command
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install_git = "conda install -y -k ninja git"
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install_pytorch = "python -m pip install torch torchvision torchaudio"
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if is_windows() and choice == "A":
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install_pytorch = "python -m pip install torch==2.0.1+cu117 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117"
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elif not is_macos() and choice == "B":
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if is_linux():
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install_pytorch = "python -m pip install torch==2.0.1+rocm5.4.2 torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2"
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else:
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print("AMD GPUs are only supported on Linux. Exiting...")
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sys.exit()
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elif is_linux() and (choice == "C" or choice == "N"):
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install_pytorch = "python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu"
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elif choice == "D":
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install_pytorch = "python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu"
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# Install Git and then Pytorch
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run_cmd(f"{install_git} && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True)
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# Install the webui requirements
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update_requirements(initial_installation=True)
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def update_requirements(initial_installation=False):
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# Create .git directory if missing
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if not os.path.isdir(os.path.join(script_dir, ".git")):
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git_creation_cmd = 'git init -b main && git remote add origin https://github.com/oobabooga/text-generation-webui && git fetch && git remote set-head origin -a && git reset origin/HEAD && git branch --set-upstream-to=origin/HEAD'
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run_cmd(git_creation_cmd, environment=True, assert_success=True)
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run_cmd("git pull --autostash", assert_success=True, environment=True)
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# Initial installation only: install the extensions requirements
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if initial_installation:
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extensions = next(os.walk("extensions"))[1]
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for extension in extensions:
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if extension in ['superbooga']: # No wheels available for requirements
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continue
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extension_req_path = os.path.join("extensions", extension, "requirements.txt")
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if os.path.exists(extension_req_path):
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run_cmd("python -m pip install -r " + extension_req_path + " --upgrade", assert_success=True, environment=True)
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# Detect the PyTorch version
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torver = torch_version()
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is_cuda = '+cu' in torver # 2.0.1+cu117
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is_rocm = '+rocm' in torver # 2.0.1+rocm5.4.2
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is_intel = '+cxx11' in torver # 2.0.1a0+cxx11.abi
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is_cpu = '+cpu' in torver # 2.0.1+cpu
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if is_rocm:
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if cpu_has_avx2():
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requirements_file = "requirements_amd.txt"
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else:
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requirements_file = "requirements_amd_noavx2.txt"
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elif is_cpu:
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if cpu_has_avx2():
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requirements_file = "requirements_cpu_only.txt"
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else:
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requirements_file = "requirements_cpu_only_noavx2.txt"
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elif is_macos():
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if is_x86_64():
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requirements_file = "requirements_apple_intel.txt"
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else:
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requirements_file = "requirements_apple_silicon.txt"
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else:
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if cpu_has_avx2():
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requirements_file = "requirements.txt"
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else:
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requirements_file = "requirements_noavx2.txt"
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print(f"Using the following requirements file: {requirements_file}")
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textgen_requirements = open(requirements_file).read().splitlines()
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# Workaround for git+ packages not updating properly. Also store requirements.txt for later use
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git_requirements = [req for req in textgen_requirements if req.startswith("git+")]
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# Loop through each "git+" requirement and uninstall it
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for req in git_requirements:
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# Extract the package name from the "git+" requirement
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url = req.replace("git+", "")
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package_name = url.split("/")[-1].split("@")[0]
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# Uninstall the package using pip
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run_cmd("python -m pip uninstall -y " + package_name, environment=True)
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print(f"Uninstalled {package_name}")
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# Install/update the project requirements
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run_cmd(f"python -m pip install -r {requirements_file} --upgrade", assert_success=True, environment=True)
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# 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
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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:
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clear_cache()
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return
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if not os.path.exists("repositories/"):
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os.mkdir("repositories")
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os.chdir("repositories")
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# Install or update ExLlama as needed
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if not os.path.exists("exllama/"):
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run_cmd("git clone https://github.com/turboderp/exllama.git", environment=True)
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else:
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os.chdir("exllama")
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run_cmd("git pull", environment=True)
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os.chdir("..")
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if is_linux():
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# Fix JIT compile issue with ExLlama in Linux/WSL
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if not os.path.exists(f"{conda_env_path}/lib64"):
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run_cmd(f'ln -s "{conda_env_path}/lib" "{conda_env_path}/lib64"', environment=True)
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# On some Linux distributions, g++ may not exist or be the wrong version to compile GPTQ-for-LLaMa
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gxx_output = run_cmd("g++ -dumpfullversion -dumpversion", environment=True, capture_output=True)
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if gxx_output.returncode != 0 or int(gxx_output.stdout.strip().split(b".")[0]) > 11:
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# Install the correct version of g++
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run_cmd("conda install -y -k conda-forge::gxx_linux-64=11.2.0", environment=True)
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clear_cache()
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def download_model():
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run_cmd("python download-model.py", environment=True)
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def launch_webui():
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flags = [flag for flag in sys.argv[1:] if flag != '--update']
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run_cmd(f"python server.py {' '.join(flags)} {CMD_FLAGS}", environment=True)
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if __name__ == "__main__":
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# Verifies we are in a conda environment
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check_env()
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parser = argparse.ArgumentParser(add_help=False)
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parser.add_argument('--update', action='store_true', help='Update the web UI.')
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args, _ = parser.parse_known_args()
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if args.update:
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update_requirements()
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else:
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# If webui has already been installed, skip and run
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if not is_installed():
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install_webui()
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os.chdir(script_dir)
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if os.environ.get("LAUNCH_AFTER_INSTALL", "").lower() in ("no", "n", "false", "0", "f", "off"):
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print_big_message("Install finished successfully and will now exit due to LAUNCH_AFTER_INSTALL.")
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sys.exit()
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# Check if a model has been downloaded yet
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if len([item for item in glob.glob('models/*') if not item.endswith(('.txt', '.yaml'))]) == 0:
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print_big_message("WARNING: You haven't downloaded any model yet.\nOnce the web UI launches, head over to the \"Model\" tab and download one.")
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# Workaround for llama-cpp-python loading paths in CUDA env vars even if they do not exist
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conda_path_bin = os.path.join(conda_env_path, "bin")
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if not os.path.exists(conda_path_bin):
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os.mkdir(conda_path_bin)
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# Launch the webui
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launch_webui()
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