Add AMD GPU support for Linux (#98)

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jllllll 2023-07-26 15:33:02 -05:00 committed by GitHub
parent 52e3b91f5e
commit 1e3c950c7d
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2 changed files with 79 additions and 32 deletions

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@ -28,3 +28,12 @@ CMD_FLAGS = '--chat --api'
To run an interactive shell in the miniconda environment, run the "cmd"
script. This is useful for installing additional requirements manually.
# Using an AMD GPU in Linux
Requires ROCm SDK 5.4.2 or 5.4.3 to be installed.
Some systems may also need: sudo apt-get install libstdc++-12-dev
Edit the "webui.py" script using a text editor and un-comment and modify the
lines near the top of the script according to your setup. In particular, modify
the os.environ["ROCM_PATH"] = '/opt/rocm' line to point to your ROCm installation.

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@ -23,6 +23,12 @@ if "OOBABOOGA_FLAGS" in os.environ:
print("To use the CMD_FLAGS Inside webui.py, unset 'OOBABOOGA_FLAGS'.\n")
# 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'
def print_big_message(message):
message = message.strip()
lines = message.split('\n')
@ -73,7 +79,7 @@ def install_dependencies():
print("What is your GPU")
print()
print("A) NVIDIA")
print("B) AMD")
print("B) AMD (Linux/MacOS only. Requires ROCm SDK 5.4.2/5.4.3 on Linux)")
print("C) Apple M Series")
print("D) None (I want to run in CPU mode)")
print()
@ -85,12 +91,15 @@ def install_dependencies():
# Install the version of PyTorch needed
if gpuchoice == "a":
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)
elif gpuchoice == "b":
print("AMD GPUs are not supported. Exiting...")
elif gpuchoice == "b" and not sys.platform.startswith("darwin"):
if sys.platform.startswith("linux"):
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)
else:
print("AMD GPUs are only supported on Linux. Exiting...")
sys.exit()
elif gpuchoice == "c":
elif (gpuchoice == "c" or gpuchoice == "b") and sys.platform.startswith("darwin"):
run_cmd("conda install -y -k ninja git && python -m pip install torch torchvision torchaudio", assert_success=True, environment=True)
elif gpuchoice == "d":
elif gpuchoice == "d" or gpuchoice == "c":
if sys.platform.startswith("linux"):
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)
else:
@ -142,24 +151,16 @@ def update_dependencies():
torver_cmd = run_cmd("python -m pip show torch", assert_success=True, environment=True, capture_output=True)
torver = [v.split()[1] for v in torver_cmd.stdout.decode('utf-8').splitlines() if 'Version:' in v][0]
# Check for '+cu' in version string to determine if torch uses CUDA or not check for pytorch-cuda as well for backwards compatibility
if '+cu' not in torver and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1:
# 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 '+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:
return
# Get GPU CUDA/compute support
if '+cu' in torver:
nvcc_device_query = "__nvcc_device_query" if not sys.platform.startswith("win") else "__nvcc_device_query.exe"
compute_array = run_cmd(os.path.join(conda_env_path, "bin", nvcc_device_query), environment=True, capture_output=True)
# Finds the path to your dependencies
for sitedir in site.getsitepackages():
if "site-packages" in sitedir:
site_packages_path = sitedir
break
# This path is critical to installing the following dependencies
if site_packages_path is None:
print("Could not find the path to your Python packages. Exiting...")
sys.exit()
else:
compute_array = type('obj', (object,), {'stdout': b'', 'returncode': 1})
# Fix a bitsandbytes compatibility issue with Linux
# if sys.platform.startswith("linux"):
@ -178,6 +179,14 @@ def update_dependencies():
run_cmd("git pull", environment=True)
os.chdir("..")
# Pre-installed exllama module does not support AMD GPU
if '+rocm' in torver:
run_cmd("python -m pip uninstall -y exllama", environment=True)
# Get download URL for latest exllama ROCm wheel
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')
if 'rocm5.4.2-cp310-cp310-linux_x86_64.whl' in exllama_rocm:
run_cmd("python -m pip install " + exllama_rocm, environment=True)
# Fix build issue with exllama in Linux/WSL
if sys.platform.startswith("linux") and not os.path.exists(f"{conda_env_path}/lib64"):
run_cmd(f'ln -s "{conda_env_path}/lib" "{conda_env_path}/lib64"', environment=True)
@ -189,15 +198,13 @@ def update_dependencies():
# Install GPTQ-for-LLaMa which enables 4bit CUDA quantization
if not os.path.exists("GPTQ-for-LLaMa/"):
# Install oobabooga fork if min compute met or if failed to check
if gptq_min_compute_check or compute_array.returncode != 0:
if '+rocm' in torver:
run_cmd("git clone https://github.com/WapaMario63/GPTQ-for-LLaMa-ROCm.git GPTQ-for-LLaMa -b rocm", assert_success=True, environment=True)
elif gptq_min_compute_check or compute_array.returncode != 0:
run_cmd("git clone https://github.com/oobabooga/GPTQ-for-LLaMa.git -b cuda", assert_success=True, environment=True)
else:
run_cmd("git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa.git -b cuda", assert_success=True, environment=True)
# Install GPTQ-for-LLaMa dependencies
os.chdir("GPTQ-for-LLaMa")
run_cmd("git pull", assert_success=True, environment=True)
# On some Linux distributions, g++ may not exist or be the wrong version to compile GPTQ-for-LLaMa
if sys.platform.startswith("linux"):
gxx_output = run_cmd("g++ -dumpfullversion -dumpversion", environment=True, capture_output=True)
@ -205,8 +212,36 @@ def update_dependencies():
# Install the correct version of g++
run_cmd("conda install -y -k gxx_linux-64=11.2.0 -c conda-forge", environment=True)
# Install/Update ROCm AutoGPTQ for AMD GPUs
if '+rocm' in torver:
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:
print_big_message("WARNING: AutoGPTQ kernel compilation failed!\n The installer will proceed to install a pre-compiled wheel.")
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:
print_big_message("ERROR: AutoGPTQ wheel installation failed!\n You will not be able to use GPTQ-based models with AutoGPTQ.")
# Install GPTQ-for-LLaMa dependencies
os.chdir("GPTQ-for-LLaMa")
run_cmd("git pull", environment=True)
# Finds the path to your dependencies
for sitedir in site.getsitepackages():
if "site-packages" in sitedir:
site_packages_path = sitedir
break
# This path is critical to installing the following dependencies
if site_packages_path is None:
print("Could not find the path to your Python packages. Exiting...")
sys.exit()
# Compile and install GPTQ-for-LLaMa
if os.path.exists('setup_cuda.py'):
if '+rocm' in torver:
if os.path.exists('setup_rocm.py'):
os.replace("setup_rocm.py", "setup.py")
# Skip compile for AMD GPU if wheel is successfully installed
if rocm_gptq:
return
elif os.path.exists('setup_cuda.py'):
os.rename("setup_cuda.py", "setup.py")
build_gptq = run_cmd("python -m pip install .", environment=True).returncode == 0
@ -214,18 +249,21 @@ def update_dependencies():
# Wheel installation can fail while in the build directory of a package with the same name
os.chdir("..")
# If the path does not exist, then the install failed
# If the path does not exist or if command returncode is not 0, then the install failed or was potentially installed outside env
quant_cuda_path_regex = os.path.join(site_packages_path, "quant_cuda*/")
quant_cuda_path = glob.glob(quant_cuda_path_regex)
if not build_gptq:
# Attempt installation via alternative, Windows/Linux-specific method
if (sys.platform.startswith("win") or sys.platform.startswith("linux")) and not quant_cuda_path:
if sys.platform.startswith("win") or sys.platform.startswith("linux") and not quant_cuda_path:
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.")
if '+rocm' in torver:
wheel = 'ROCm-5.4.2/quant_cuda-0.0.0-cp310-cp310-linux_x86_64.whl'
else:
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"
url = f"https://github.com/jllllll/GPTQ-for-LLaMa-Wheels/raw/{'Linux-x64' if sys.platform.startswith('linux') else 'main'}/" + wheel
result = run_cmd("python -m pip install " + url, environment=True)
if result.returncode == 0:
if result.returncode == 0 and glob.glob(quant_cuda_path_regex):
print("Wheel installation success!")
else:
print("ERROR: GPTQ wheel installation failed. You will not be able to use GPTQ-based models.")
@ -233,7 +271,7 @@ def update_dependencies():
print_big_message("WARNING: GPTQ-for-LLaMa compilation failed, but this is FINE and can be ignored!\nquant_cuda has already been installed.")
else:
print("ERROR: GPTQ CUDA kernel compilation failed.")
print("You will not be able to use GPTQ-based models.")
print("You will not be able to use GPTQ-based models with GPTQ-for-LLaMa.")
print("Continuing with install..")