googlenet.py 文件源码

def inceptionD(self, input_layer, nfilt):
        # Corresponds to a modified version of figure 10 in the paper
        l1 = self.bn_conv(input_layer, num_filters=nfilt[0][0], filter_size=1)
        l1 = self.bn_conv(l1, num_filters=nfilt[0][1], filter_size=3, stride=2)

        l2 = self.bn_conv(input_layer, num_filters=nfilt[1][0], filter_size=1)
        l2 = self.bn_conv(l2, num_filters=nfilt[1][1], filter_size=(1, 7), pad=(0, 3))
        l2 = self.bn_conv(l2, num_filters=nfilt[1][2], filter_size=(7, 1), pad=(3, 0))
        l2 = self.bn_conv(l2, num_filters=nfilt[1][3], filter_size=3, stride=2)

        l3 = Pool2DLayer(input_layer, pool_size=3, stride=2)

        return ConcatLayer([l1, l2, l3])