l2 normalization bug in NetFV

[linrongc]

`the process of intra normalization in NetFV

    fv2 = tf.reshape(fv2,[-1,self.cluster_size*self.feature_size])      
    fv2 = tf.nn.l2_normalize(fv2,1)
    fv2 = tf.reshape(fv2,[-1,self.cluster_size*self.feature_size])
    fv2 = tf.nn.l2_normalize(fv2,1)`

should remove the first reshape?