mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-26 14:20:40 +01:00
Add AMD GPU support for Linux (#98)
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jllllll
GitHub
parent
52e3b91f5e
commit
1e3c950c7d
@ -28,3 +28,12 @@ CMD_FLAGS = '--chat --api'
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To run an interactive shell in the miniconda environment, run the "cmd"
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script. This is useful for installing additional requirements manually.
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# Using an AMD GPU in Linux
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Requires ROCm SDK 5.4.2 or 5.4.3 to be installed.
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Some systems may also need: sudo apt-get install libstdc++-12-dev
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Edit the "webui.py" script using a text editor and un-comment and modify the
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lines near the top of the script according to your setup. In particular, modify
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the os.environ["ROCM_PATH"] = '/opt/rocm' line to point to your ROCm installation.
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102
webui.py
102
webui.py
@ -21,6 +21,12 @@ if "OOBABOOGA_FLAGS" in os.environ:
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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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# 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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@ -73,7 +79,7 @@ def install_dependencies():
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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")
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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 in CPU mode)")
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print()
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@ -85,12 +91,15 @@ def install_dependencies():
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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":
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print("AMD GPUs are not supported. Exiting...")
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sys.exit()
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elif gpuchoice == "c":
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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":
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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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@ -142,24 +151,16 @@ def update_dependencies():
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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' in version string to determine if torch uses CUDA or not check for pytorch-cuda as well for backwards compatibility
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if '+cu' 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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# 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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return
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# Get GPU CUDA/compute support
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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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# 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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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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@ -177,6 +178,14 @@ def update_dependencies():
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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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@ -189,15 +198,13 @@ def update_dependencies():
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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 gptq_min_compute_check or compute_array.returncode != 0:
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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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# Install GPTQ-for-LLaMa dependencies
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os.chdir("GPTQ-for-LLaMa")
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run_cmd("git pull", 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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@ -205,8 +212,36 @@ def update_dependencies():
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# Install the correct version of g++
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run_cmd("conda install -y -k gxx_linux-64=11.2.0 -c conda-forge", 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 os.path.exists('setup_cuda.py'):
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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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# Skip compile for AMD GPU if wheel is successfully installed
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if rocm_gptq:
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return
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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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@ -214,18 +249,21 @@ def update_dependencies():
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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, then the install failed
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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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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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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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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:
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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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@ -233,7 +271,7 @@ def update_dependencies():
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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.")
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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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