cnn_model.py 文件源码

def __init__(self, ksize, n_out, initializer):
        super(ResBlock, self).__init__()
        pad_size = ksize // 2
        links  = [('conv1', L.Convolution2D(None, n_out, ksize, pad=pad_size, initialW=initializer))]
        links += [('bn1', L.BatchNormalization(n_out))]
        links += [('_act1', F.ReLU())]
        links += [('conv2', L.Convolution2D(n_out, n_out, ksize, pad=pad_size, initialW=initializer))]
        links += [('bn2', L.BatchNormalization(n_out))]
        for link in links:
            if not link[0].startswith('_'):
                self.add_link(*link)
        self.forward = links