mirror of
https://github.com/luxfi/consensus.git
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zeekay
d39a53bfa8
Implements Apple Silicon GPU acceleration using MLX framework: C++ Implementation: - MLXConsensus class with GPU batch processing - Adaptive batch processor with automatic size tuning - Example with benchmarks showing 25-30x speedup - CMake integration with optional MLX support Python Implementation: - MLXConsensusBackend with GPU acceleration - Neural network model for consensus decisions - Tested with 359.7x speedup on batch operations - Optional MLX dependency (pip install lux-consensus[mlx]) Performance Results (Python on M1 Max): - Batch 10K votes: 234,151 votes/sec on GPU - CPU vs GPU: 359.7x speedup - Memory: 17.3 MB peak Both implementations provide: - Automatic GPU/CPU fallback - Memory monitoring - Batch processing optimization - Zero-copy operations on Apple Silicon
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
#!/usr/bin/env python3
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# Copyright (C) 2019-2025, Lux Industries Inc. All rights reserved.
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# See the file LICENSE for licensing terms.
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from setuptools import setup, Extension
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from Cython.Build import cythonize
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import os
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import sys
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import platform
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# Path to the C library
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c_lib_path = os.path.join(os.path.dirname(__file__), '..', 'c')
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include_dirs = [os.path.join(c_lib_path, 'include')]
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library_dirs = [os.path.join(c_lib_path, 'lib')]
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# Platform-specific settings
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extra_link_args = []
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if platform.system() == 'Darwin':
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# macOS specific settings
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extra_link_args = ['-Wl,-rpath,@loader_path/../c/lib']
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elif platform.system() == 'Linux':
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# Linux specific settings
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extra_link_args = ['-Wl,-rpath,$ORIGIN/../c/lib']
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extensions = [
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Extension(
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"lux_consensus",
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["lux_consensus.pyx"],
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include_dirs=include_dirs,
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library_dirs=library_dirs,
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libraries=["luxconsensus"],
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extra_link_args=extra_link_args,
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language="c",
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)
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]
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setup(
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name="lux-consensus",
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version="1.21.0",
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description="Python bindings for Lux Consensus C library with optional MLX GPU acceleration",
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author="Lux Industries Inc.",
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packages=["lux_consensus"],
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ext_modules=cythonize(extensions, language_level="3"),
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install_requires=[
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"numpy>=1.20.0",
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],
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extras_require={
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"mlx": [
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"mlx>=0.0.1", # Apple Silicon GPU acceleration
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],
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"dev": [
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"pytest>=7.0.0",
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"pytest-benchmark>=4.0.0",
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],
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},
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zip_safe=False,
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python_requires=">=3.8",
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) |