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https://github.com/nomic-ai/gpt4all
synced 2024-11-10 01:10:35 +00:00
python: reduce size of wheels built by CI, other build tweaks (#2802)
* Read CMAKE_CUDA_ARCHITECTURES directly * Disable CUBINs for python build in CI * Search for CUDA 11 as well as CUDA 12 Signed-off-by: Jared Van Bortel <jared@nomic.ai>
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Jared Van Bortel
GitHub
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commit
de7cb36fcc
@ -881,7 +881,7 @@ jobs:
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt-get update
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sudo apt-get install -y cmake build-essential vulkan-sdk cuda-compiler-11-8 libcublas-dev-11-8 libnvidia-compute-550-server libmysqlclient21 libodbc2 libpq5
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sudo apt-get install -y cmake build-essential vulkan-sdk cuda-compiler-11-8 libcublas-dev-11-8 libnvidia-compute-550-server
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pip install setuptools wheel cmake
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- run:
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name: Build C library
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@ -889,7 +889,9 @@ jobs:
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export PATH=$PATH:/usr/local/cuda/bin
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git submodule update --init --recursive
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cd gpt4all-backend
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cmake -B build -DCMAKE_BUILD_TYPE=Release
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cmake -B build -DCMAKE_BUILD_TYPE=Release \
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-DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON \
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-DCMAKE_CUDA_ARCHITECTURES='52-virtual;61-virtual;70-virtual;75-virtual'
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cmake --build build -j$(nproc)
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- run:
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name: Build wheel
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@ -986,7 +988,9 @@ jobs:
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$Env:PATH += ";C:\VulkanSDK\1.3.261.1\bin"
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$Env:VULKAN_SDK = "C:\VulkanSDK\1.3.261.1"
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cd gpt4all-backend
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cmake -G Ninja -B build -DCMAKE_BUILD_TYPE=Release -DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON
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cmake -G Ninja -B build -DCMAKE_BUILD_TYPE=Release `
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-DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON `
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-DCMAKE_CUDA_ARCHITECTURES='52-virtual;61-virtual;70-virtual;75-virtual'
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cmake --build build --parallel
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- run:
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name: Build wheel
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@ -63,10 +63,6 @@ if (LLMODEL_VULKAN)
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list(APPEND BUILD_VARIANTS vulkan vulkan-avxonly)
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endif()
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if (LLMODEL_CUDA)
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if (DEFINED CMAKE_CUDA_ARCHITECTURES)
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set(GGML_CUDA_ARCHITECTURES "${CMAKE_CUDA_ARCHITECTURES}")
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endif()
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include(CheckLanguage)
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check_language(CUDA)
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if (NOT CMAKE_CUDA_COMPILER)
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@ -378,19 +378,19 @@ function(include_ggml SUFFIX)
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find_package(CUDAToolkit REQUIRED)
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set(CUDAToolkit_BIN_DIR ${CUDAToolkit_BIN_DIR} PARENT_SCOPE)
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if (NOT DEFINED GGML_CUDA_ARCHITECTURES)
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if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
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# 52 == lowest CUDA 12 standard
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# 60 == f16 CUDA intrinsics
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# 61 == integer CUDA intrinsics
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# 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
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if (GGML_CUDA_F16 OR GGML_CUDA_DMMV_F16)
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set(GGML_CUDA_ARCHITECTURES "60;61;70;75") # needed for f16 CUDA intrinsics
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set(CMAKE_CUDA_ARCHITECTURES "60;61;70;75") # needed for f16 CUDA intrinsics
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else()
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set(GGML_CUDA_ARCHITECTURES "52;61;70;75") # lowest CUDA 12 standard + lowest for integer intrinsics
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#set(GGML_CUDA_ARCHITECTURES "OFF") # use this to compile much faster, but only F16 models work
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set(CMAKE_CUDA_ARCHITECTURES "52;61;70;75") # lowest CUDA 12 standard + lowest for integer intrinsics
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#set(CMAKE_CUDA_ARCHITECTURES "OFF") # use this to compile much faster, but only F16 models work
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endif()
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endif()
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message(STATUS "Using CUDA architectures: ${GGML_CUDA_ARCHITECTURES}")
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message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
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set(GGML_HEADERS_CUDA ${DIRECTORY}/ggml/include/ggml-cuda.h)
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file(GLOB GGML_HEADERS_CUDA "${DIRECTORY}/ggml/src/ggml-cuda/*.cuh")
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@ -1018,9 +1018,6 @@ function(include_ggml SUFFIX)
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C_STANDARD 11
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C_STANDARD_REQUIRED true
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)
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if (GGML_CUDA_ARCHITECTURES)
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set_property(TARGET ggml${SUFFIX} llama${SUFFIX} PROPERTY CUDA_ARCHITECTURES "${GGML_CUDA_ARCHITECTURES}")
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endif()
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target_compile_options(ggml${SUFFIX} PRIVATE "${GGML_COMPILE_OPTS}")
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target_compile_options(llama${SUFFIX} PRIVATE "${GGML_COMPILE_OPTS}")
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@ -4,6 +4,12 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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## [Unreleased]
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### Changed
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- Search for pip-installed CUDA 11 as well as CUDA 12 ([#2802](https://github.com/nomic-ai/gpt4all/pull/2802))
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- Stop shipping CUBINs to reduce wheel size ([#2802](https://github.com/nomic-ai/gpt4all/pull/2802))
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## [2.8.0] - 2024-08-05
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### Added
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@ -16,6 +22,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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- Detect use of a Python interpreter under Rosetta for a clearer error message ([#2793](https://github.com/nomic-ai/gpt4all/pull/2793))
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### Changed
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- Build against CUDA 11.8 instead of CUDA 12 for better compatibility with older drivers ([#2639](https://github.com/nomic-ai/gpt4all/pull/2639))
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- Update llama.cpp to commit 87e397d00 from July 19th ([#2694](https://github.com/nomic-ai/gpt4all/pull/2694))
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### Removed
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@ -33,4 +40,5 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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- Restore leading space removal logic that was incorrectly removed in [#2694](https://github.com/nomic-ai/gpt4all/pull/2694)
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- CUDA: Cherry-pick llama.cpp DMMV cols requirement fix that caused a crash with long conversations since [#2694](https://github.com/nomic-ai/gpt4all/pull/2694)
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[Unreleased]: https://github.com/nomic-ai/gpt4all/compare/python-v2.8.0...HEAD
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[2.8.0]: https://github.com/nomic-ai/gpt4all/compare/python-v2.7.0...python-v2.8.0
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@ -39,25 +39,34 @@ if platform.system() == "Darwin" and platform.processor() == "i386":
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Please install GPT4All in an environment that uses a native ARM64 Python interpreter.
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"""))
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def _load_cuda(rtver: str, blasver: str) -> None:
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if platform.system() == "Linux":
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cudalib = f"lib/libcudart.so.{rtver}"
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cublaslib = f"lib/libcublas.so.{blasver}"
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else: # Windows
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cudalib = fr"bin\cudart64_{rtver.replace(".", "")}.dll"
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cublaslib = fr"bin\cublas64_{blasver}.dll"
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# preload the CUDA libs so the backend can find them
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ctypes.CDLL(os.path.join(cuda_runtime.__path__[0], cudalib), mode=ctypes.RTLD_GLOBAL)
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ctypes.CDLL(os.path.join(cublas.__path__[0], cublaslib), mode=ctypes.RTLD_GLOBAL)
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# Find CUDA libraries from the official packages
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cuda_found = False
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if platform.system() in ('Linux', 'Windows'):
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if platform.system() in ("Linux", "Windows"):
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try:
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from nvidia import cuda_runtime, cublas
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except ImportError:
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pass # CUDA is optional
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else:
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if platform.system() == 'Linux':
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cudalib = 'lib/libcudart.so.12'
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cublaslib = 'lib/libcublas.so.12'
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else: # Windows
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cudalib = r'bin\cudart64_12.dll'
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cublaslib = r'bin\cublas64_12.dll'
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# preload the CUDA libs so the backend can find them
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ctypes.CDLL(os.path.join(cuda_runtime.__path__[0], cudalib), mode=ctypes.RTLD_GLOBAL)
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ctypes.CDLL(os.path.join(cublas.__path__[0], cublaslib), mode=ctypes.RTLD_GLOBAL)
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cuda_found = True
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for rtver, blasver in [("12", "12"), ("11.0", "11")]:
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try:
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_load_cuda(rtver, blasver)
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cuda_found = True
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except OSError: # dlopen() does not give specific error codes
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pass # try the next one
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# TODO: provide a config file to make this more robust
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@ -68,7 +68,7 @@ def get_long_description():
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setup(
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name=package_name,
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version="2.8.0",
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version="2.8.1.dev0",
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description="Python bindings for GPT4All",
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long_description=get_long_description(),
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long_description_content_type="text/markdown",
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