diff --git a/INSTRUCTIONS.TXT b/INSTRUCTIONS.TXT index c25e4a96..c93924d6 100644 --- a/INSTRUCTIONS.TXT +++ b/INSTRUCTIONS.TXT @@ -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. diff --git a/webui.py b/webui.py index e534ab22..3833e96a 100644 --- a/webui.py +++ b/webui.py @@ -21,6 +21,12 @@ if "OOBABOOGA_FLAGS" in os.environ: print("The following flags have been taken from the environment variable 'OOBABOOGA_FLAGS':") print(CMD_FLAGS) 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): @@ -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...") - sys.exit() - elif gpuchoice == "c": + 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" 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 - 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() + 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) + else: + compute_array = type('obj', (object,), {'stdout': b'', 'returncode': 1}) # Fix a bitsandbytes compatibility issue with Linux # if sys.platform.startswith("linux"): @@ -177,6 +178,14 @@ def update_dependencies(): os.chdir("exllama") 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"): @@ -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.") - 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" + 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..")