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@@ -19,7 +19,8 @@ class DSSMLayer(nn.Layer):
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self.embedding_dim = embedding_dim
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self.embedding_dim = embedding_dim
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self.output_dim = output_dim
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self.output_dim = output_dim
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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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# 第一层的输入维度是所有特征的embedding拼接
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- self.hidden_layers = [self.tag_feature_num * embedding_dim + self.stat_features_num*3*embedding_dim] + hidden_layers + [output_dim]
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+ self.input_features_num = self.tag_feature_num + self.stat_features_num*3
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+ self.hidden_layers = [self.input_features_num*embedding_dim] + hidden_layers + [output_dim]
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self.hidden_acts = hidden_acts
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self.hidden_acts = hidden_acts
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@@ -201,7 +202,7 @@ class DSSMLayer(nn.Layer):
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left_embedded = self._process_features(left_features, self.left_embeddings)
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left_embedded = self._process_features(left_features, self.left_embeddings)
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# left_vec = left_embedded
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# left_vec = left_embedded
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- left_vec = paddle.reshape(left_embedded, [-1, self.tag_feature_num * self.embedding_dim])
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+ left_vec = paddle.reshape(left_embedded, [-1, self.input_features_num * self.embedding_dim])
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for i, layer in enumerate(self._left_tower):
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for i, layer in enumerate(self._left_tower):
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left_vec = layer(left_vec)
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left_vec = layer(left_vec)
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@@ -216,7 +217,7 @@ class DSSMLayer(nn.Layer):
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# 处理右视频特征
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# 处理右视频特征
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right_embedded = self._process_features(right_features, self.right_embeddings)
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right_embedded = self._process_features(right_features, self.right_embeddings)
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# right_vec = right_embedded
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# right_vec = right_embedded
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- right_vec = paddle.reshape(right_embedded, [-1, self.tag_feature_num * self.embedding_dim])
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+ right_vec = paddle.reshape(right_embedded, [-1, self.input_features_num * self.embedding_dim])
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for layer in self._right_tower:
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for layer in self._right_tower:
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right_vec = layer(right_vec)
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right_vec = layer(right_vec)
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@@ -239,7 +240,7 @@ class DSSMLayer(nn.Layer):
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left_embedded = self._process_features(left_features, self.left_embeddings)
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left_embedded = self._process_features(left_features, self.left_embeddings)
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# left_vec = left_embedded
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# left_vec = left_embedded
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- left_vec = paddle.reshape(left_embedded, [-1, self.tag_feature_num * self.embedding_dim])
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+ left_vec = paddle.reshape(left_embedded, [-1, self.input_features_num * self.embedding_dim])
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for i, layer in enumerate(self._left_tower):
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for i, layer in enumerate(self._left_tower):
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left_vec = layer(left_vec)
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left_vec = layer(left_vec)
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@@ -248,7 +249,7 @@ class DSSMLayer(nn.Layer):
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# 处理右视频特征
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# 处理右视频特征
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right_embedded = self._process_features(right_features, self.left_embeddings)
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right_embedded = self._process_features(right_features, self.left_embeddings)
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# right_vec = right_embedded
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# right_vec = right_embedded
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- right_vec = paddle.reshape(right_embedded, [-1, self.tag_feature_num * self.embedding_dim])
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+ right_vec = paddle.reshape(right_embedded, [-1, self.input_features_num * self.embedding_dim])
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for layer in self._left_tower:
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for layer in self._left_tower:
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right_vec = layer(right_vec)
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right_vec = layer(right_vec)
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