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python: reduce size of wheels built by CI, other build tweaks (nomic-…
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…ai#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 <[email protected]>
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cebtenzzre authored Aug 7, 2024
1 parent be66ec8 commit de7cb36
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Showing 6 changed files with 42 additions and 28 deletions.
10 changes: 7 additions & 3 deletions .circleci/continue_config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -881,15 +881,17 @@ jobs:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
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
sudo apt-get install -y cmake build-essential vulkan-sdk cuda-compiler-11-8 libcublas-dev-11-8 libnvidia-compute-550-server
pip install setuptools wheel cmake
- run:
name: Build C library
command: |
export PATH=$PATH:/usr/local/cuda/bin
git submodule update --init --recursive
cd gpt4all-backend
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake -B build -DCMAKE_BUILD_TYPE=Release \
-DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON \
-DCMAKE_CUDA_ARCHITECTURES='52-virtual;61-virtual;70-virtual;75-virtual'
cmake --build build -j$(nproc)
- run:
name: Build wheel
Expand Down Expand Up @@ -986,7 +988,9 @@ jobs:
$Env:PATH += ";C:\VulkanSDK\1.3.261.1\bin"
$Env:VULKAN_SDK = "C:\VulkanSDK\1.3.261.1"
cd gpt4all-backend
cmake -G Ninja -B build -DCMAKE_BUILD_TYPE=Release -DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON
cmake -G Ninja -B build -DCMAKE_BUILD_TYPE=Release `
-DKOMPUTE_OPT_DISABLE_VULKAN_VERSION_CHECK=ON `
-DCMAKE_CUDA_ARCHITECTURES='52-virtual;61-virtual;70-virtual;75-virtual'
cmake --build build --parallel
- run:
name: Build wheel
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4 changes: 0 additions & 4 deletions gpt4all-backend/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -63,10 +63,6 @@ if (LLMODEL_VULKAN)
list(APPEND BUILD_VARIANTS vulkan vulkan-avxonly)
endif()
if (LLMODEL_CUDA)
if (DEFINED CMAKE_CUDA_ARCHITECTURES)
set(GGML_CUDA_ARCHITECTURES "${CMAKE_CUDA_ARCHITECTURES}")
endif()

include(CheckLanguage)
check_language(CUDA)
if (NOT CMAKE_CUDA_COMPILER)
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13 changes: 5 additions & 8 deletions gpt4all-backend/llama.cpp.cmake
Original file line number Diff line number Diff line change
Expand Up @@ -378,19 +378,19 @@ function(include_ggml SUFFIX)
find_package(CUDAToolkit REQUIRED)
set(CUDAToolkit_BIN_DIR ${CUDAToolkit_BIN_DIR} PARENT_SCOPE)

if (NOT DEFINED GGML_CUDA_ARCHITECTURES)
if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
# 52 == lowest CUDA 12 standard
# 60 == f16 CUDA intrinsics
# 61 == integer CUDA intrinsics
# 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
if (GGML_CUDA_F16 OR GGML_CUDA_DMMV_F16)
set(GGML_CUDA_ARCHITECTURES "60;61;70;75") # needed for f16 CUDA intrinsics
set(CMAKE_CUDA_ARCHITECTURES "60;61;70;75") # needed for f16 CUDA intrinsics
else()
set(GGML_CUDA_ARCHITECTURES "52;61;70;75") # lowest CUDA 12 standard + lowest for integer intrinsics
#set(GGML_CUDA_ARCHITECTURES "OFF") # use this to compile much faster, but only F16 models work
set(CMAKE_CUDA_ARCHITECTURES "52;61;70;75") # lowest CUDA 12 standard + lowest for integer intrinsics
#set(CMAKE_CUDA_ARCHITECTURES "OFF") # use this to compile much faster, but only F16 models work
endif()
endif()
message(STATUS "Using CUDA architectures: ${GGML_CUDA_ARCHITECTURES}")
message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")

set(GGML_HEADERS_CUDA ${DIRECTORY}/ggml/include/ggml-cuda.h)
file(GLOB GGML_HEADERS_CUDA "${DIRECTORY}/ggml/src/ggml-cuda/*.cuh")
Expand Down Expand Up @@ -1018,9 +1018,6 @@ function(include_ggml SUFFIX)
C_STANDARD 11
C_STANDARD_REQUIRED true
)
if (GGML_CUDA_ARCHITECTURES)
set_property(TARGET ggml${SUFFIX} llama${SUFFIX} PROPERTY CUDA_ARCHITECTURES "${GGML_CUDA_ARCHITECTURES}")
endif()

target_compile_options(ggml${SUFFIX} PRIVATE "${GGML_COMPILE_OPTS}")
target_compile_options(llama${SUFFIX} PRIVATE "${GGML_COMPILE_OPTS}")
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8 changes: 8 additions & 0 deletions gpt4all-bindings/python/CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,12 @@ All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).

## [Unreleased]

### Changed
- Search for pip-installed CUDA 11 as well as CUDA 12 ([#2802](https://github.com/nomic-ai/gpt4all/pull/2802))
- Stop shipping CUBINs to reduce wheel size ([#2802](https://github.com/nomic-ai/gpt4all/pull/2802))

## [2.8.0] - 2024-08-05

### Added
Expand All @@ -16,6 +22,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
- Detect use of a Python interpreter under Rosetta for a clearer error message ([#2793](https://github.com/nomic-ai/gpt4all/pull/2793))

### Changed
- Build against CUDA 11.8 instead of CUDA 12 for better compatibility with older drivers ([#2639](https://github.com/nomic-ai/gpt4all/pull/2639))
- Update llama.cpp to commit 87e397d00 from July 19th ([#2694](https://github.com/nomic-ai/gpt4all/pull/2694))

### Removed
Expand All @@ -33,4 +40,5 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
- Restore leading space removal logic that was incorrectly removed in [#2694](https://github.com/nomic-ai/gpt4all/pull/2694)
- 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)

[Unreleased]: https://github.com/nomic-ai/gpt4all/compare/python-v2.8.0...HEAD
[2.8.0]: https://github.com/nomic-ai/gpt4all/compare/python-v2.7.0...python-v2.8.0
33 changes: 21 additions & 12 deletions gpt4all-bindings/python/gpt4all/_pyllmodel.py
Original file line number Diff line number Diff line change
Expand Up @@ -39,25 +39,34 @@
Please install GPT4All in an environment that uses a native ARM64 Python interpreter.
"""))


def _load_cuda(rtver: str, blasver: str) -> None:
if platform.system() == "Linux":
cudalib = f"lib/libcudart.so.{rtver}"
cublaslib = f"lib/libcublas.so.{blasver}"
else: # Windows
cudalib = fr"bin\cudart64_{rtver.replace(".", "")}.dll"
cublaslib = fr"bin\cublas64_{blasver}.dll"

# preload the CUDA libs so the backend can find them
ctypes.CDLL(os.path.join(cuda_runtime.__path__[0], cudalib), mode=ctypes.RTLD_GLOBAL)
ctypes.CDLL(os.path.join(cublas.__path__[0], cublaslib), mode=ctypes.RTLD_GLOBAL)


# Find CUDA libraries from the official packages
cuda_found = False
if platform.system() in ('Linux', 'Windows'):
if platform.system() in ("Linux", "Windows"):
try:
from nvidia import cuda_runtime, cublas
except ImportError:
pass # CUDA is optional
else:
if platform.system() == 'Linux':
cudalib = 'lib/libcudart.so.12'
cublaslib = 'lib/libcublas.so.12'
else: # Windows
cudalib = r'bin\cudart64_12.dll'
cublaslib = r'bin\cublas64_12.dll'

# preload the CUDA libs so the backend can find them
ctypes.CDLL(os.path.join(cuda_runtime.__path__[0], cudalib), mode=ctypes.RTLD_GLOBAL)
ctypes.CDLL(os.path.join(cublas.__path__[0], cublaslib), mode=ctypes.RTLD_GLOBAL)
cuda_found = True
for rtver, blasver in [("12", "12"), ("11.0", "11")]:
try:
_load_cuda(rtver, blasver)
cuda_found = True
except OSError: # dlopen() does not give specific error codes
pass # try the next one


# TODO: provide a config file to make this more robust
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2 changes: 1 addition & 1 deletion gpt4all-bindings/python/setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ def get_long_description():

setup(
name=package_name,
version="2.8.0",
version="2.8.1.dev0",
description="Python bindings for GPT4All",
long_description=get_long_description(),
long_description_content_type="text/markdown",
Expand Down

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