config.py 文件源码

def initialize_tbcnn_weights(clz):
        clz.initialize_embedding_weights()
        # Don't train We
        tf.get_collection_ref(tf.GraphKeys.TRAINABLE_VARIABLES).remove(clz.get('We'))

        clz.create_variable('Wcomb1', (hyper.word_dim, hyper.word_dim),
                            tf.constant_initializer(-.2, .2))
        clz.create_variable('Wcomb2', (hyper.word_dim, hyper.word_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('Wconvt', (hyper.word_dim, hyper.conv_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('Wconvl', (hyper.word_dim, hyper.conv_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('Wconvr', (hyper.word_dim, hyper.conv_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('Bconv', (hyper.conv_dim,),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('FC1/weight', (hyper.conv_dim, hyper.fc_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('FC1/bias', (hyper.fc_dim,),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('FC2/weight', (hyper.fc_dim, hyper.output_dim),
                            tf.random_uniform_initializer(-.2, .2))
        clz.create_variable('FC2/bias', (hyper.output_dim, ),
                            tf.random_uniform_initializer(-.2, .2))