diff --git a/develop/doc/_sources/api/v2/fluid/layers.rst.txt b/develop/doc/_sources/api/v2/fluid/layers.rst.txt index 986026e0b9364076e777e4ba66c990fbecfa83d8..550b0e5b82609750ccd318eee889313cb2d7925a 100644 --- a/develop/doc/_sources/api/v2/fluid/layers.rst.txt +++ b/develop/doc/_sources/api/v2/fluid/layers.rst.txt @@ -500,6 +500,16 @@ swish .. autofunction:: paddle.v2.fluid.layers.swish :noindex: +edit_distance +--------------- +.. autofunction:: paddle.v2.fluid.layers.edit_distance_error + :noindex: + +ctc_greedy_decoder +--------------- +.. autofunction:: paddle.v2.fluid.layers.ctc_greedy_decoder + :noindex: + l2_normalize ------------ .. autofunction:: paddle.v2.fluid.layers.l2_normalize diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html index 57991fe49b85ef01c7de410e4df861b8c6f6fea3..049a09991909ca05c062c3d165dd0579e9ee4ddb 100644 --- a/develop/doc/api/v2/fluid/layers.html +++ b/develop/doc/api/v2/fluid/layers.html @@ -3299,6 +3299,68 @@ Duplicable: False Optional: False + +
paddle.v2.fluid.layers.
ctc_greedy_decoder
(input, blank, name=None)This op is used to decode sequences by greedy policy by below steps: +1. Get the indexes of max value for each row in input. a.k.a. numpy.argmax(input, axis=0). +2. For each sequence in result of step1, merge repeated tokens between two blanks and delete all blanks.
+A simple example as below:
+Given:
+
+input.data = [[0.6, 0.1, 0.3, 0.1],
+ [0.3, 0.2, 0.4, 0.1],
+ [0.1, 0.5, 0.1, 0.3],
+ [0.5, 0.1, 0.3, 0.1],
+
+ [0.5, 0.1, 0.3, 0.1],
+ [0.2, 0.2, 0.2, 0.4],
+ [0.2, 0.2, 0.1, 0.5],
+ [0.5, 0.1, 0.3, 0.1]]
+
+input.lod = [[0, 4, 8]]
+
+Then:
+
+output.data = [[2],
+ [1],
+ [3]]
+
+output.lod = [[0, 2, 3]]
+
Parameters: |
|
+
---|---|
Returns: | CTC greedy decode result. + |
+
Return type: | Variable + |
+
Examples
+x = fluid.layers.data(name='x', shape=[8], dtype='float32')
+
+cost = fluid.layers.ctc_greedy_decoder(input=x, blank=0)
+
IfElse
Operator","Design Doc: InferVarType","Problem","Memory Optimization","Intel\u00ae MKL Packed on PaddlePaddle: Design Doc","Intel\u00ae MKL-DNN on PaddlePaddle: Design Doc","Design Doc: Add MKLDNN Kernel in Fluid Operator","Design Doc: Model Format","Paddle\u591a\u8bed\u8a00\u63a5\u53e3\u5b9e\u73b0","C-API \u6a21\u578b\u63a8\u65ad\u5b9e\u73b0\u6587\u6863","Design Doc: The Keys of Operator Kernel Type","RNNOp design","Design: Sequence Decoder Generating LoDTensors","Optimizer Design","Design Doc: NCCL support in Paddle Fluid","Averaging Parameter in PaddlePaddle","Design Doc: The C++ Class Parameters
","Introduction","Design Doc: PaddlePaddle Programs","Prune","Design Doc: Python API","Python Data Reader Design Doc","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 Doc: Supporting new Device/Library","Background","Design for TensorArray","Background","Build from Sources","Run in Docker Containers","Install and Build","Install Using pip","GET STARTED","RNN Models","RNN Configuration","Build using Docker","Contribute Code","Write New Layers","How to write a new operator","Add Kernels for a New Device","How to use Eigen in Paddle","Contribute Documentation","HOW TO","Profiling the Python Code","Tune GPU Performance","PaddlePaddle Fluid Source Code Overview","Distributed Training","Cluster Training Using Fabric","Fluid Distributed Training","Distributed PaddlePaddle Training on AWS with Kubernetes","PaddlePaddle On Kubernetes","Cluster Training Using OpenMPI","<no title>","<no title>","Argument Outline","Detail Description","Set Command-line Parameters","Use Case","PaddlePaddle Documentation","Build PaddlePaddle for Android","Build PaddlePaddle for iOS","Build PaddlePaddle for Raspberry Pi","MOBILE","Cluster bootstrapping tool 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\ No newline at end of file
diff --git a/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt b/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt
index 986026e0b9364076e777e4ba66c990fbecfa83d8..550b0e5b82609750ccd318eee889313cb2d7925a 100644
--- a/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt
+++ b/develop/doc_cn/_sources/api/v2/fluid/layers.rst.txt
@@ -500,6 +500,16 @@ swish
.. autofunction:: paddle.v2.fluid.layers.swish
:noindex:
+edit_distance
+---------------
+.. autofunction:: paddle.v2.fluid.layers.edit_distance_error
+ :noindex:
+
+ctc_greedy_decoder
+---------------
+.. autofunction:: paddle.v2.fluid.layers.ctc_greedy_decoder
+ :noindex:
+
l2_normalize
------------
.. autofunction:: paddle.v2.fluid.layers.l2_normalize
diff --git a/develop/doc_cn/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html
index 022532c3cb1e6798e56320744f6b05a39fbc7e80..4fb94ef3512e1deedd5d2337a559f186ec6d3788 100644
--- a/develop/doc_cn/api/v2/fluid/layers.html
+++ b/develop/doc_cn/api/v2/fluid/layers.html
@@ -3318,6 +3318,68 @@ Duplicable: False Optional: False
+paddle.v2.fluid.layers.
ctc_greedy_decoder
(input, blank, name=None)This op is used to decode sequences by greedy policy by below steps: +1. Get the indexes of max value for each row in input. a.k.a. numpy.argmax(input, axis=0). +2. For each sequence in result of step1, merge repeated tokens between two blanks and delete all blanks.
+A simple example as below:
+Given:
+
+input.data = [[0.6, 0.1, 0.3, 0.1],
+ [0.3, 0.2, 0.4, 0.1],
+ [0.1, 0.5, 0.1, 0.3],
+ [0.5, 0.1, 0.3, 0.1],
+
+ [0.5, 0.1, 0.3, 0.1],
+ [0.2, 0.2, 0.2, 0.4],
+ [0.2, 0.2, 0.1, 0.5],
+ [0.5, 0.1, 0.3, 0.1]]
+
+input.lod = [[0, 4, 8]]
+
+Then:
+
+output.data = [[2],
+ [1],
+ [3]]
+
+output.lod = [[0, 2, 3]]
+
参数: |
|
+
---|---|
返回: | CTC greedy decode result. + |
+
返回类型: | Variable + |
+
Examples
+x = fluid.layers.data(name='x', shape=[8], dtype='float32')
+
+cost = fluid.layers.ctc_greedy_decoder(input=x, blank=0)
+
IfElse
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