From c478c94bbf842be483faa1acc94d41a073f6fd63 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 2 Jan 2018 22:10:15 +0000 Subject: [PATCH] Deploy to GitHub Pages: f3812825d06c2e9fb2311ea3890f70fc2dcf0836 --- develop/doc/api/v2/fluid/layers.html | 38 ++++++++++++++++++++++++- develop/doc/searchindex.js | 2 +- develop/doc_cn/api/v2/fluid/layers.html | 38 ++++++++++++++++++++++++- develop/doc_cn/searchindex.js | 2 +- 4 files changed, 76 insertions(+), 4 deletions(-) diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html index f189538088b..3b22a779255 100644 --- a/develop/doc/api/v2/fluid/layers.html +++ b/develop/doc/api/v2/fluid/layers.html @@ -1320,7 +1320,43 @@ operator just returns the sequence length of the first tuple element.

paddle.v2.fluid.layers.topk(input, k)
-
+

topk

+

This function performs the operation that selects the k entries in the input +vector and outputs their values and indices as vectors. Thus topk_out[j] is +the j-th largest entry in input, and its index is topk_indices[j]

+ +++ + + + + + + + +
Parameters:
    +
  • input (Variable|list) – The input tensor that has all the data.
    • +
  • k (int) – The number of top elements that the function will pick.
    • +
+
Returns:

+
The variable of type array that contains the k largest entries
+

from input.

+
+
Variable: The variable of type array that contains the indices of k
+

largest entries from input.

+
+
+

+
Return type:

Variable

+
+

Examples

+
x = fluid.layers.data(name='x', shape=[10])
+k = 5
+array = fluid.layers.topk(x, k)
+
+
+
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js index 1aa77b7c751..e361f27da19 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/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html index dce44fd740b..44c8c9d948c 100644 --- a/develop/doc_cn/api/v2/fluid/layers.html +++ b/develop/doc_cn/api/v2/fluid/layers.html @@ -1333,7 +1333,43 @@ operator just returns the sequence length of the first tuple element.

paddle.v2.fluid.layers.topk(input, k)
-
+

topk

+

This function performs the operation that selects the k entries in the input +vector and outputs their values and indices as vectors. Thus topk_out[j] is +the j-th largest entry in input, and its index is topk_indices[j]

+ +++ + + + + + + + +
参数:
    +
  • input (Variable|list) – The input tensor that has all the data.
    • +
  • k (int) – The number of top elements that the function will pick.
    • +
+
返回:

+
The variable of type array that contains the k largest entries
+

from input.

+
+
Variable: The variable of type array that contains the indices of k
+

largest entries from input.

+
+
+

+
返回类型:

Variable

+
+

Examples

+
x = fluid.layers.data(name='x', shape=[10])
+k = 5
+array = fluid.layers.topk(x, k)
+
+
+
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js index 9ea643a20dc..355ed1f441f 100644 --- a/develop/doc_cn/searchindex.js +++ b/develop/doc_cn/searchindex.js @@ -1 +1 @@ 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