function.py 文件源码

def backward_preprocess(self, function, in_data, out_grad):
        """Callback function invoked before backward propagation.

        Args:
            function(~chainer.Function): Function object to which
                the function hook is registered.
            in_data(tuple of numpy.ndarray or tuple of cupy.ndarray):
                Input data of forward propagation.
            out_grad(tuple of numpy.ndarray or tuple of cupy.ndarray):
                Gradient data of backward propagation.
        """
        pass