Created by: foxgaga

paddle.init(use_gpu=False, trainer_count=3)
word_dict = paddle.dataset.imikolov.build_dict()
dict_size = len(word_dict)
# Every layer takes integer value of range [0, dict_size)
firstword = paddle.layer.data(
    name="firstw", type=paddle.data_type.integer_value(dict_size))
secondword = paddle.layer.data(
    name="secondw", type=paddle.data_type.integer_value(dict_size))
thirdword = paddle.layer.data(
    name="thirdw", type=paddle.data_type.integer_value(dict_size))
fourthword = paddle.layer.data(
    name="fourthw", type=paddle.data_type.integer_value(dict_size))
nextword = paddle.layer.data(
    name="fifthw", type=paddle.data_type.integer_value(dict_size))

Efirst = wordemb(firstword)
Esecond = wordemb(secondword)
Ethird = wordemb(thirdword)
Efourth = wordemb(fourthword)

contextemb = paddle.layer.concat(input=[Efirst, Esecond, Ethird, Efourth])

词向量book中对词进行了concat拼接（4x(32x1)->1x128x1），想问下如何拼接得到（4x32x1)来复现word2vec源码进行sum pooling。 paddle.layer.pooling(input= contextemb, pooling_type=paddle.pooling.Sum()) 谢谢。