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inner product是通过tf.reduce_sum实现的,reduce时候没有指定维度,建议默认axis=-1
当前0.3.1版本dssm模型无法构建,按如下方式修改后可以正常训练。
def inner_product(x, y, temperature=1.0, axis=-1): return Lambda(lambda x: tf.reduce_sum(tf.multiply(x[0], x[1]), axis) / temperature)([x, y])
The text was updated successfully, but these errors were encountered:
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inner product是通过tf.reduce_sum实现的,reduce时候没有指定维度,建议默认axis=-1
当前0.3.1版本dssm模型无法构建,按如下方式修改后可以正常训练。
def inner_product(x, y, temperature=1.0, axis=-1):
return Lambda(lambda x: tf.reduce_sum(tf.multiply(x[0], x[1]), axis) / temperature)([x, y])
The text was updated successfully, but these errors were encountered: