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Heyi007 avatar Heyi007 commented on August 29, 2024 2

This error means that embedding table is smaller than sparse feature length, a simplest way is to enlarge the embedding table size, modifying code/models/dsin.py:
sparse_embedding_dict = {feat.name: Embedding(feat.dimension, embedding_size,...
to
sparse_embedding_dict = {feat.name: Embedding(feat.dimension*5, embedding_size,...

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shenweichen avatar shenweichen commented on August 29, 2024 2

sorry for this mistake, we are planning to refactor our code in the future.
I think this error can be fixed by using

sparse_feature_list = [SingleFeat(feat, data[feat].max(
    ) + 1) for feat in sparse_features + ['cate_id', 'brand']]

instead of

sparse_feature_list = [SingleFeat(feat, data[feat].nunique(
) + 1) for feat in sparse_features + ['cate_id', 'brand']]

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jellchou avatar jellchou commented on August 29, 2024

I saw the same error https://github.com/shenweichen/DSIN/issues/8, you said that to clone the latest code, and my code was the latest.
My os environment : python 3.6.9, deepctr 0.4.1

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mengdagegehexiaohuya avatar mengdagegehexiaohuya commented on August 29, 2024

同样出现了以上问题,解决了一下也没有调出来,求大佬解答

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btbuwzh avatar btbuwzh commented on August 29, 2024

我用的是你的最新的代码,其中那两行已经修改过了,还是会这个错误tensorflow.python.framework.errors_impl.InvalidArgumentError

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