paddle.v2.layer.dot_prodA layer for computing the dot product of two vectors.
+The example usage is:
+dot_prod = dot_prod(input1=vec1, input2=vec2)
+| Parameters: |
|
+
|---|---|
| Returns: | paddle.v2.config_base.Layer object. + |
+
| Return type: | paddle.v2.config_base.Layer + |
+
paddle.v2.layer.out_prodA layer for computing the outer product of two vectors +The result is a matrix of size(input1) x size(input2)
+The example usage is:
+out_prod = out_prod(input1=vec1, input2=vec2)
+| Parameters: |
|
+
|---|---|
| Returns: | paddle.v2.config_base.Layer object. + |
+
| Return type: | paddle.v2.config_base.Layer + |
+
IfElse Operator","Design Doc: InferVarType","Design Doc: Model Format","Paddle\u591a\u8bed\u8a00\u63a5\u53e3\u5b9e\u73b0","C-API \u6a21\u578b\u63a8\u65ad\u5b9e\u73b0\u6587\u6863","RNNOp design","Design: Sequence Decoder Generating LoDTensors","Optimizer Design","Averaging Parameter in PaddlePaddle","Design Doc: The C++ Class Parameters","Design Doc: PaddlePaddle Programs","Prune","Design Doc: Python API","Python Data Reader Design Doc","Design Doc: Distributed Training Architecture","Design Doc: Operation Graph Based Parameter Server","Design Doc: Session","Design Doc: Refactorization Overview","Design Doc: Gradient Operators Registration","Regularization in PaddlePaddle","PaddlePaddle\u53d1\u884c\u89c4\u8303","Design of Scope in Paddle","Design Doc: Selected Rows","Interaction between C++ and Python","Design for TensorArray","Background","Simple Linear Regression","Installing from Sources","PaddlePaddle in Docker Containers","Install and Build","GET STARTED","RNN Models","RNN Configuration","Build PaddlePaddle from Source Code and Run Unit Test","Contribute Code","Write New Layers","How to write a new operator","How to use Eigen in Paddle","HOW TO","Tune GPU Performance","PaddlePaddle Distributed Training","Argument Outline","Detail Description","Set Command-line Parameters","Use Case","Distributed PaddlePaddle Training on AWS with Kubernetes","Paddle On Kubernetes","<no title>","<no title>","PaddlePaddle Documentation","Build PaddlePaddle for Android","Build PaddlePaddle for Raspberry Pi","MOBILE","Cluster bootstrapping tool survey","<no title>","Chinese Word Embedding Model Tutorial","Generative Adversarial Networks (GAN)","Model Zoo - ImageNet","Quick 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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/api/v2/config/layer.rst.txt b/develop/doc_cn/_sources/api/v2/config/layer.rst.txt
index 203506d7ab84e5a5be2232b077eac2d433a99766..b2b55ec419d2f8453e067f202f6c1b7da6c201de 100644
--- a/develop/doc_cn/_sources/api/v2/config/layer.rst.txt
+++ b/develop/doc_cn/_sources/api/v2/config/layer.rst.txt
@@ -335,6 +335,16 @@ bilinear_interp
.. autoclass:: paddle.v2.layer.bilinear_interp
:noindex:
+dot_prod
+---------
+.. autoclass:: paddle.v2.layer.dot_prod
+ :noindex:
+
+out_prod
+--------
+.. autoclass:: paddle.v2.layer.out_prod
+ :noindex:
+
power
-----
.. autoclass:: paddle.v2.layer.power
diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html
index f78f7d18c78164e84587cef41552ef27594726d3..f22ec0719e54e01bb9437687fcaff5f39f063cc9 100644
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -2792,6 +2792,75 @@ which is used in NEURAL TURING MACHINE.
+paddle.v2.layer.dot_prodA layer for computing the dot product of two vectors.
+The example usage is:
+dot_prod = dot_prod(input1=vec1, input2=vec2)
+| 参数: |
|
+
|---|---|
| 返回: | paddle.v2.config_base.Layer object. + |
+
| 返回类型: | paddle.v2.config_base.Layer + |
+
paddle.v2.layer.out_prodA layer for computing the outer product of two vectors +The result is a matrix of size(input1) x size(input2)
+The example usage is:
+out_prod = out_prod(input1=vec1, input2=vec2)
+| 参数: |
|
+
|---|---|
| 返回: | paddle.v2.config_base.Layer object. + |
+
| 返回类型: | paddle.v2.config_base.Layer + |
+
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