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				@@ -35,6 +35,7 @@ class StaticModel(): 
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				         # 第一层的输入维度是所有特征的embedding拼接 
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				         self.input_dim = self.tag_feature_num  + self.stat_features_num*3 
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				+        print(f"debug debug data input dim: {self.input_dim}") 
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				     def _init_hyper_parameters(self): 
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				@@ -95,7 +96,7 @@ class StaticModel(): 
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				             return fetch_dict 
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				         else: 
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				             label,left_features, right_features = input 
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				-            print(f"Label shape: {label.shape}") 
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				+             
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				             # 获取相似度和特征向量 
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				             sim_score, left_vec, right_vec = dssm_model(left_features, right_features) 
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