adgm.py 文件源码

def log_py(self, y):
        xp = self.xp
        n_types_of_label = y.data.shape[1]
        # prior p(y) expecting that all classes are evenly distributed
        constant = math.log(1.0 / n_types_of_label)
        log_py = xp.full((y.data.shape[0],), constant, xp.float32)
        return self.to_variable(log_py)