diff --git a/develop/doc/api/v2/data.html b/develop/doc/api/v2/data.html index f39371efde254933e7faa495fbbef8bfe01c34cf..be1aa63507834b4b8b94fc8d51a4a25ce97b92bc 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 6379e6ad330e8f16c684c28e0c21f91424980141..1bdabbfe4f9dbd3b7d3b53c73745b5e941f6b25c 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/data.html b/develop/doc_cn/api/v2/data.html
index afc41749fafec033b36b00c4e10e30eb7f38dab5..761cf7c2a738c9b741fb64bbd03cfc44c9e485c2 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 c4604df0fa4b7368a483e00a1453ef1d810b46ba..4358ad203cb967c888fd50202cfc405e9fbf2abb 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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