googlenet.py 文件源码

def inceptionA(self, input_layer, nfilt):
        # Corresponds to a modified version of figure 5 in the paper
        l1 = self.bn_conv(input_layer, num_filters=nfilt[0][0], filter_size=1)

        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=5, pad=2)

        l3 = self.bn_conv(input_layer, num_filters=nfilt[2][0], filter_size=1)
        l3 = self.bn_conv(l3, num_filters=nfilt[2][1], filter_size=3, pad=1)
        l3 = self.bn_conv(l3, num_filters=nfilt[2][2], filter_size=3, pad=1)

        l4 = Pool2DLayer(
            input_layer, pool_size=3, stride=1, pad=1, mode='average_exc_pad')
        l4 = self.bn_conv(l4, num_filters=nfilt[3][0], filter_size=1)

        return ConcatLayer([l1, l2, l3, l4])