From e129ac6bfc060490ac0b3b3a9e787765af8aff25 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Sat, 23 Dec 2017 08:52:49 +0000 Subject: [PATCH] Deploy to GitHub Pages: 2ec130621ecbfa8464ed62c3da3b6a7b4a9ac10d --- develop/doc/api/v2/fluid/layers.html | 3 +-- develop/doc/operators.json | 4 ++-- develop/doc_cn/api/v2/fluid/layers.html | 3 +-- 3 files changed, 4 insertions(+), 6 deletions(-) diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html index e54c90c50b..3c06ea26f7 100644 --- a/develop/doc/api/v2/fluid/layers.html +++ b/develop/doc/api/v2/fluid/layers.html @@ -424,8 +424,7 @@ Duplicable: False Optional: False

Mul Operator.

This operator is used to perform matrix multiplication for input $X$ and $Y$.

The equation is:

-
-
$$Out = X * Y$$
+

$$Out = X * Y$$

Both the input $X$ and $Y$ can carry the LoD (Level of Details) information, or not. But the output only shares the LoD information with input $X$.

diff --git a/develop/doc/operators.json b/develop/doc/operators.json index 4a953b5d8a..7c4a80c937 100644 --- a/develop/doc/operators.json +++ b/develop/doc/operators.json @@ -1145,7 +1145,7 @@ } ] },{ "type" : "mul", - "comment" : "\nMul Operator.\n\nThis operator is used to perform matrix multiplication for input $X$ and $Y$.\n\nThe equation is:\n\n $$Out = X * Y$$\n\nBoth the input $X$ and $Y$ can carry the LoD (Level of Details) information,\nor not. But the output only shares the LoD information with input $X$.\n\n", + "comment" : "\nMul Operator.\n\nThis operator is used to perform matrix multiplication for input $X$ and $Y$.\n\nThe equation is:\n\n$$Out = X * Y$$\n\nBoth the input $X$ and $Y$ can carry the LoD (Level of Details) information,\nor not. But the output only shares the LoD information with input $X$.\n\n", "inputs" : [ { "name" : "X", @@ -1358,7 +1358,7 @@ } ] },{ "type" : "positive_negative_pair", - "comment" : "\n PositiveNegativePairOp can be used to evaluate Learning To Rank(LTR) \n model performance. \n Within some context, e.g. the \"query\", a LTR model generates scores\n for a list of items, which gives a partial order of the items.\n PositiveNegativePairOp takes a list of reference rank order \n (Input(\"Label\")) and the model generated scores (Input(Score)) as \n inputs and counts the pairs that ranked correctly and incorrectly.\n", + "comment" : "\nPositiveNegativePairOp can be used to evaluate Learning To Rank(LTR) model's\nperformance.\n\nWithin some context, e.g. the \"query\", a LTR model generates scores for a list\nof items, which gives a partial order of the items. PositiveNegativePairOp\ntakes a list of reference rank order (Input(\"Label\")) and the model generated\nscores (Input(Score)) as inputs and counts the pairs that ranked correctly\nand incorrectly.\n", "inputs" : [ { "name" : "Score", diff --git a/develop/doc_cn/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html index c0e158edb2..cdecea7750 100644 --- a/develop/doc_cn/api/v2/fluid/layers.html +++ b/develop/doc_cn/api/v2/fluid/layers.html @@ -437,8 +437,7 @@ Duplicable: False Optional: False

Mul Operator.

This operator is used to perform matrix multiplication for input $X$ and $Y$.

The equation is:

-
-
$$Out = X * Y$$
+

$$Out = X * Y$$

Both the input $X$ and $Y$ can carry the LoD (Level of Details) information, or not. But the output only shares the LoD information with input $X$.

-- GitLab