From 5372824ee41e4895dffdfbe3f27319c6cd500fcd Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 12 Apr 2017 12:34:50 +0000 Subject: [PATCH] Deploy to GitHub Pages: 892cc82d165ec00a210e7b9fd456579351334134 --- develop/doc/api/v2/data.html | 22 +++++++++++++++++----- develop/doc/searchindex.js | 2 +- develop/doc_cn/api/v2/data.html | 22 +++++++++++++++++----- develop/doc_cn/searchindex.js | 2 +- 4 files changed, 36 insertions(+), 12 deletions(-) diff --git a/develop/doc/api/v2/data.html b/develop/doc/api/v2/data.html index f39371efde2..be1aa635078 100644 --- a/develop/doc/api/v2/data.html +++ b/develop/doc/api/v2/data.html @@ -490,11 +490,23 @@ a list of mini-batch data entries. Each data entry in the list is one sample. Each sample is a list or a tuple with one feature or multiple features. DataFeeder converts this mini-batch data entries into Arguments in order to feed it to C++ interface.

-

The example usage:

+

The simple usage shows below

+
feeding = ['image', 'label']
+data_types = enumerate_data_types_of_data_layers(topology)
+feeder = DataFeeder(data_types=data_types, feeding=feeding)
+
+minibatch_data = [([1.0, 2.0, 3.0, ...], 5)]
+
+arg = feeder(minibatch_data)
+
+
+

If mini-batch data and data layers are not one to one mapping, we +could pass a dictionary to feeding parameter to represent the mapping +relationship.

data_types = [('image', paddle.data_type.dense_vector(784)),
               ('label', paddle.data_type.integer_value(10))]
-reader_dict = {'image':0, 'label':1}
-feeder = DataFeeder(data_types=data_types, reader_dict=reader_dict)
+feeding = {'image':0, 'label':1}
+feeder = DataFeeder(data_types=data_types, feeding=feeding)
 minibatch_data = [
                    ( [1.0,2.0,3.0,4.0], 5, [6,7,8] ),  # first sample
                    ( [1.0,2.0,3.0,4.0], 5, [6,7,8] )   # second sample
@@ -518,8 +530,8 @@ interface.

 Parameters:
    
 
  • data_types (list) – A list to specify data name and type. Each item is
 a tuple of (data_name, data_type).
    • 
-
  • reader_dict – A dictionary to specify the position of each data
-in the input data.
    • 
+
  • feeding (dict|collections.Sequence|None) – A dictionary or a sequence to specify the position of each
+data in the input data.
    • 
 

 
 
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index 6379e6ad330..1bdabbfe4f9 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
@@ -1 +1 @@
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diff --git a/develop/doc_cn/api/v2/data.html b/develop/doc_cn/api/v2/data.html
index afc41749faf..761cf7c2a73 100644
--- a/develop/doc_cn/api/v2/data.html
+++ b/develop/doc_cn/api/v2/data.html
@@ -497,11 +497,23 @@ a list of mini-batch data entries. Each data entry in the list is one sample.
 Each sample is a list or a tuple with one feature or multiple features.
 DataFeeder converts this mini-batch data entries into Arguments in order
 to feed it to C++ interface.

-
The example usage:

+
The simple usage shows below

+
feeding = ['image', 'label']
+data_types = enumerate_data_types_of_data_layers(topology)
+feeder = DataFeeder(data_types=data_types, feeding=feeding)
+
+minibatch_data = [([1.0, 2.0, 3.0, ...], 5)]
+
+arg = feeder(minibatch_data)
+

+

+
If mini-batch data and data layers are not one to one mapping, we
+could pass a dictionary to feeding parameter to represent the mapping
+relationship.

 
data_types = [('image', paddle.data_type.dense_vector(784)),
               ('label', paddle.data_type.integer_value(10))]
-reader_dict = {'image':0, 'label':1}
-feeder = DataFeeder(data_types=data_types, reader_dict=reader_dict)
+feeding = {'image':0, 'label':1}
+feeder = DataFeeder(data_types=data_types, feeding=feeding)
 minibatch_data = [
                    ( [1.0,2.0,3.0,4.0], 5, [6,7,8] ),  # first sample
                    ( [1.0,2.0,3.0,4.0], 5, [6,7,8] )   # second sample
@@ -525,8 +537,8 @@ interface.

 参数:
    
 
  • data_types (list) – A list to specify data name and type. Each item is
 a tuple of (data_name, data_type).
    • 
-
  • reader_dict – A dictionary to specify the position of each data
-in the input data.
    • 
+
  • feeding (dict|collections.Sequence|None) – A dictionary or a sequence to specify the position of each
+data in the input data.
    • 
 

 
 
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index c4604df0fa4..4358ad203cb 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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