请问deepfm中二阶交叉是不是没对dense层进行交叉呀

[downeykking]

Please refer to the FAQ in doc and search for the related issues before you ask the question.

Describe the question(问题描述) A clear and concise description of what the question is.

Additional context code如下 ` def forward(self, X):

    sparse_embedding_list, dense_value_list = self.input_from_feature_columns(X, self.dnn_feature_columns,
                                                                              self.embedding_dict)
    logit = self.linear_model(X)

    if self.use_fm and len(sparse_embedding_list) > 0:
        fm_input = torch.cat(sparse_embedding_list, dim=1)
        logit += self.fm(fm_input)

    if self.use_dnn:
        dnn_input = combined_dnn_input(
            sparse_embedding_list, dense_value_list)
        dnn_output = self.dnn(dnn_input)
        dnn_logit = self.dnn_linear(dnn_output)
        logit += dnn_logit

    y_pred = self.out(logit)

    return y_pred`

Operating environment(运行环境):

• python version [e.g. 3.9]
• torch version [e.g. 1.7.0,]
• deepctr-torch version [e.g. 0.2.7,]

[wsh3776]

是的，只对稀疏特征的Embedding向量进行二阶交叉

[downeykking]

是的，只对稀疏特征的Embedding向量进行二阶交叉

thanks~