mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-31 14:40:15 +01:00
325 lines
16 KiB
Python
325 lines
16 KiB
Python
import argparse
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import glob
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import os
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import re
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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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# Command-line flags
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if "OOBABOOGA_FLAGS" in os.environ:
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CMD_FLAGS = os.environ["OOBABOOGA_FLAGS"]
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print("The following flags have been taken from the environment variable 'OOBABOOGA_FLAGS':")
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print(CMD_FLAGS)
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print("To use the CMD_FLAGS Inside webui.py, unset 'OOBABOOGA_FLAGS'.\n")
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else:
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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.read().splitlines() if line.strip())
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else:
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CMD_FLAGS = '--chat'
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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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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 sys.platform.startswith("win"):
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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 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 install_dependencies():
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# Select your GPU or, choose to run in CPU mode
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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) None (I want to run models in CPU mode)")
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print()
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gpuchoice = input("Input> ").lower()
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if gpuchoice == "d":
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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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# Install the version of PyTorch needed
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if gpuchoice == "a":
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run_cmd('conda install -y -k cuda ninja git -c nvidia/label/cuda-11.7.0 -c nvidia && python -m pip install torch==2.0.1+cu117 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117', assert_success=True, environment=True)
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elif gpuchoice == "b" and not sys.platform.startswith("darwin"):
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if sys.platform.startswith("linux"):
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run_cmd('conda install -y -k ninja git && python -m pip install torch==2.0.1+rocm5.4.2 torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2', assert_success=True, environment=True)
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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 (gpuchoice == "c" or gpuchoice == "b") and sys.platform.startswith("darwin"):
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run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True)
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elif gpuchoice == "d" or gpuchoice == "c":
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if sys.platform.startswith("linux"):
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run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu", assert_success=True, environment=True)
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else:
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run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True)
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else:
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print("Invalid choice. Exiting...")
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sys.exit()
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# Clone webui to our computer
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run_cmd("git clone https://github.com/oobabooga/text-generation-webui.git", assert_success=True, environment=True)
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# Install the webui dependencies
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update_dependencies(initial_installation=True)
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def update_dependencies(initial_installation=False):
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os.chdir("text-generation-webui")
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run_cmd("git pull", assert_success=True, environment=True)
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# Workaround for git+ packages not updating properly Also store requirements.txt for later use
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with open("requirements.txt") as f:
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textgen_requirements = f.read()
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git_requirements = [req for req in textgen_requirements.splitlines() 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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# Installs/Updates the project dependencies
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run_cmd("python -m pip install -r requirements.txt --upgrade", assert_success=True, environment=True)
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# Installs the extensions dependencies (only on the first install)
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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 dependencies
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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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# The following dependencies are for CUDA, not CPU
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# Parse output of 'pip show torch' to determine torch version
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torver_cmd = run_cmd("python -m pip show torch", assert_success=True, environment=True, capture_output=True)
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torver = [v.split()[1] for v in torver_cmd.stdout.decode('utf-8').splitlines() if 'Version:' in v][0]
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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 '+cu' not in torver and '+rocm' not in torver 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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# Get GPU CUDA/compute support
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if '+cu' in torver:
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nvcc_device_query = "__nvcc_device_query" if not sys.platform.startswith("win") else "__nvcc_device_query.exe"
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compute_array = run_cmd(os.path.join(conda_env_path, "bin", nvcc_device_query), environment=True, capture_output=True)
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else:
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compute_array = type('obj', (object,), {'stdout': b'', 'returncode': 1})
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# Fix a bitsandbytes compatibility issue with Linux
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# if sys.platform.startswith("linux"):
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# shutil.copy(os.path.join(site_packages_path, "bitsandbytes", "libbitsandbytes_cuda117.so"), os.path.join(site_packages_path, "bitsandbytes", "libbitsandbytes_cpu.so"))
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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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# Pre-installed exllama module does not support AMD GPU
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if '+rocm' in torver:
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run_cmd("python -m pip uninstall -y exllama", environment=True)
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# Get download URL for latest exllama ROCm wheel
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exllama_rocm = run_cmd('curl -s https://api.github.com/repos/jllllll/exllama/releases/latest | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
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if 'rocm5.4.2-cp310-cp310-linux_x86_64.whl' in exllama_rocm:
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run_cmd("python -m pip install " + exllama_rocm, environment=True)
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# Fix build issue with exllama in Linux/WSL
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if sys.platform.startswith("linux") and 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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# oobabooga fork requires min compute of 6.0
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gptq_min_compute = 60
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gptq_min_compute_check = any(int(compute) >= gptq_min_compute for compute in compute_array.stdout.decode('utf-8').split(',')) if compute_array.returncode == 0 else False
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# Install GPTQ-for-LLaMa which enables 4bit CUDA quantization
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if not os.path.exists("GPTQ-for-LLaMa/"):
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# Install oobabooga fork if min compute met or if failed to check
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if '+rocm' in torver:
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run_cmd("git clone https://github.com/WapaMario63/GPTQ-for-LLaMa-ROCm.git GPTQ-for-LLaMa -b rocm", assert_success=True, environment=True)
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elif gptq_min_compute_check or compute_array.returncode != 0:
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run_cmd("git clone https://github.com/oobabooga/GPTQ-for-LLaMa.git -b cuda", assert_success=True, environment=True)
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else:
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run_cmd("git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa.git -b cuda", assert_success=True, 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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if sys.platform.startswith("linux"):
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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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# Install/Update ROCm AutoGPTQ for AMD GPUs
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if '+rocm' in torver:
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if run_cmd("[ -d ./AutoGPTQ-rocm ] && rm -rfd ./AutoGPTQ-rocm; git clone https://github.com/jllllll/AutoGPTQ.git ./AutoGPTQ-rocm -b rocm && cp ./AutoGPTQ-rocm/setup_rocm.py ./AutoGPTQ-rocm/setup.py && python -m pip install ./AutoGPTQ-rocm --force-reinstall --no-deps", environment=True).returncode != 0:
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print_big_message("WARNING: AutoGPTQ kernel compilation failed!\n The installer will proceed to install a pre-compiled wheel.")
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if run_cmd("python -m pip install https://github.com/jllllll/GPTQ-for-LLaMa-Wheels/raw/Linux-x64/ROCm-5.4.2/auto_gptq-0.3.2%2Brocm5.4.2-cp310-cp310-linux_x86_64.whl --force-reinstall --no-deps", environment=True).returncode != 0:
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print_big_message("ERROR: AutoGPTQ wheel installation failed!\n You will not be able to use GPTQ-based models with AutoGPTQ.")
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# Install GPTQ-for-LLaMa dependencies
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os.chdir("GPTQ-for-LLaMa")
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run_cmd("git pull", environment=True)
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# Finds the path to your dependencies
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for sitedir in site.getsitepackages():
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if "site-packages" in sitedir:
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site_packages_path = sitedir
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break
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# This path is critical to installing the following dependencies
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if site_packages_path is None:
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print("Could not find the path to your Python packages. Exiting...")
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sys.exit()
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# Compile and install GPTQ-for-LLaMa
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if '+rocm' in torver:
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if os.path.exists('setup_rocm.py'):
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os.replace("setup_rocm.py", "setup.py")
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elif os.path.exists('setup_cuda.py'):
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os.rename("setup_cuda.py", "setup.py")
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build_gptq = run_cmd("python -m pip install .", environment=True).returncode == 0
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# Wheel installation can fail while in the build directory of a package with the same name
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os.chdir("..")
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# If the path does not exist or if command returncode is not 0, then the install failed or was potentially installed outside env
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quant_cuda_path_regex = os.path.join(site_packages_path, "quant_cuda*/")
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quant_cuda_path = glob.glob(quant_cuda_path_regex)
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if not build_gptq:
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# Attempt installation via alternative, Windows/Linux-specific method
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if sys.platform.startswith("win") or sys.platform.startswith("linux") and not quant_cuda_path:
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print_big_message("WARNING: GPTQ-for-LLaMa compilation failed, but this is FINE and can be ignored!\nThe installer will proceed to install a pre-compiled wheel.")
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if '+rocm' in torver:
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wheel = 'ROCm-5.4.2/quant_cuda-0.0.0-cp310-cp310-linux_x86_64.whl'
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else:
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wheel = f"{'' if gptq_min_compute_check or compute_array.returncode != 0 else '832e220d6dbf11bec5eaa8b221a52c1c854d2a25/'}quant_cuda-0.0.0-cp310-cp310-{'linux_x86_64' if sys.platform.startswith('linux') else 'win_amd64'}.whl"
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url = f"https://github.com/jllllll/GPTQ-for-LLaMa-Wheels/raw/{'Linux-x64' if sys.platform.startswith('linux') else 'main'}/" + wheel
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result = run_cmd("python -m pip install " + url, environment=True)
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if result.returncode == 0 and glob.glob(quant_cuda_path_regex):
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print("Wheel installation success!")
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else:
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print("ERROR: GPTQ wheel installation failed. You will not be able to use GPTQ-based models.")
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elif quant_cuda_path:
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print_big_message("WARNING: GPTQ-for-LLaMa compilation failed, but this is FINE and can be ignored!\nquant_cuda has already been installed.")
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else:
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print("ERROR: GPTQ CUDA kernel compilation failed.")
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print("You will not be able to use GPTQ-based models with GPTQ-for-LLaMa.")
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print("Continuing with install..")
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clear_cache()
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def download_model():
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os.chdir("text-generation-webui")
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run_cmd("python download-model.py", environment=True)
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def launch_webui():
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os.chdir("text-generation-webui")
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run_cmd(f"python server.py {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()
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parser.add_argument('--update', action='store_true', help='Update the web UI.')
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args = parser.parse_args()
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if args.update:
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update_dependencies()
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else:
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# If webui has already been installed, skip and run
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if not os.path.exists("text-generation-webui/"):
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install_dependencies()
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os.chdir(script_dir)
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# Check if a model has been downloaded yet
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if len([item for item in glob.glob('text-generation-webui/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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