omardelarosa / adaptive-des Goto Github PK

    def fun(self, x, dimension):
        self.c += 1
        z = []
        for i in range(dimension):
            z.append(x[i])
        z = np.array(z)
        if self.is_new(z):
            self.cache(z)
        return ctypes.c_double(self.cached_score)

def cache(self, x):
        # unpack x and load into module
        state_dict = self.unpack_parameters(x)
        self.nn.load_state_dict(state_dict)
        # store the raw array as well
        self.cached_x = x
        # calculate the objective using x
        score = self.eval_fn()
        self.cached_score = score