Calculate and return a context vector with dot-product attention mechanism.
+The dimension of the context vector equals to that of the attended_sequence.
+
+\[ \begin{align}\begin{aligned}a(s_{i-1},h_{j}) & = s_{i-1}^\mathrm{T} h_{j}\\e_{i,j} & = a(s_{i-1}, h_{j})\\a_{i,j} & = \frac{exp(e_{i,j})}{\sum_{k=1}^{T_x}{exp(e_{i,k})}}\\c_{i} & = \sum_{j=1}^{T_{x}}a_{i,j}z_{j}\end{aligned}\end{align} \]
+where \(h_{j}\) is the jth element of encoded_sequence,
+\(z_{j}\) is the jth element of attended_sequence,
+\(s_{i-1}\) is transformed_state.
+The example usage is:
+context = dot_product_attention(encoded_sequence=enc_seq,
+ attended_sequence=att_seq,
+ transformed_state=state,)
+
+
+
+
+
+| Parameters: |
+- name (basestring) – A prefix attached to the name of each layer that defined inside
+the dot_product_attention.
+- softmax_param_attr (ParameterAttribute) – The parameter attribute of sequence softmax
+that is used to produce attention weight.
+- encoded_sequence (LayerOutput) – The output hidden vectors of the encoder.
+- attended_sequence (LayerOutput) – The attention weight is computed by a feed forward neural
+network which has two inputs : decoder’s transformed hidden
+state of previous time step and encoder’s output.
+attended_sequence is the sequence to be attended.
+- transformed_state (LayerOutput) – The transformed hidden state of decoder in previous time step.
+Since the dot-product operation will be performed on it and the
+encoded_sequence, their dimensions must be equal. For flexibility,
+we suppose transformations of the decoder’s hidden state have been
+done outside dot_product_attention and no more will be performed
+inside. Then users can use either the original or transformed one.
+
+ |
+
|---|
+| Returns: | The context vector.
+ |
+
|---|
+| Return type: | LayerOutput
|
|---|
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index d892d9aed5a342c42c5f382ed2e67afac618394a..6d912ff3b2f133b80db182aa14792468fa64e429 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/api/v2/config/networks.rst.txt b/develop/doc_cn/_sources/api/v2/config/networks.rst.txt
index 6e813ab1a820d068ea3e54cad6178f1cf928eadc..048379cf01f4aec5e73e2fe3ddfa728f3c17a5d1 100644
--- a/develop/doc_cn/_sources/api/v2/config/networks.rst.txt
+++ b/develop/doc_cn/_sources/api/v2/config/networks.rst.txt
@@ -125,3 +125,8 @@ simple_attention
:members: simple_attention
:noindex:
+dot_product_attention
+---------------------
+.. automodule:: paddle.v2.networks
+ :members: dot_product_attention
+ :noindex:
diff --git a/develop/doc_cn/api/v2/config/networks.html b/develop/doc_cn/api/v2/config/networks.html
index 0f9cc772eb69d67e9fc1be370415ad3c01a10a28..9f8b57096470828074952a9149f0f2f061bf7719 100644
--- a/develop/doc_cn/api/v2/config/networks.html
+++ b/develop/doc_cn/api/v2/config/networks.html
@@ -952,7 +952,62 @@ compute attention weight.
-| θΏε: | a context vector
+ |
|---|
| θΏε: | a context vector
+ |
+
|---|
+| θΏεη±»ε: | LayerOutput
+ |
+
|---|
+
+
+