gpu_nano_f1.py

import ctypes
import numpy as np
import os

class GPUNanoF1:
    def __init__(self):
        # Cherche le kernel dans le dossier local
        path = os.path.join(os.path.dirname(__file__), 'f1_kernel.so')
        if not os.path.exists(path):
            raise Exception("Le Kernel F-1 n'est pas compilé. Lancez 'sh compile.sh' d'abord.")
        
        self.lib = ctypes.CDLL(path)
        self.lib.launch_f1_kernel.argtypes = [
            ctypes.POINTER(ctypes.c_float),
            ctypes.POINTER(ctypes.c_float),
            ctypes.POINTER(ctypes.c_float),
            ctypes.c_int
        ]

    def compute(self, A, B):
        # Conversion automatique en float32 pour le Kernel
        A = A.astype(np.float32)
        B = B.astype(np.float32)
        size = A.shape[0]
        C = np.zeros((size, size), dtype=np.float32)
        
        self.lib.launch_f1_kernel(
            A.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
            B.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
            C.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
            size
        )
        return C