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体验新版 GitCode,发现更多精彩内容 >>
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9f417f12
编写于
3月 27, 2017
作者:
Q
qijun
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操作
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电子邮件补丁
差异文件
add some dateset docs
上级
0690a9fb
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
66 addition
and
11 deletion
+66
-11
doc/api/v2/data.rst
doc/api/v2/data.rst
+3
-3
doc/api/v2/run_logic.rst
doc/api/v2/run_logic.rst
+7
-1
python/paddle/v2/dataset/cifar.py
python/paddle/v2/dataset/cifar.py
+46
-2
python/paddle/v2/dataset/conll05.py
python/paddle/v2/dataset/conll05.py
+6
-5
python/paddle/v2/dataset/movielens.py
python/paddle/v2/dataset/movielens.py
+4
-0
未找到文件。
doc/api/v2/data.rst
浏览文件 @
9f417f12
========
Data
sets
========
========
==========================
Data
Reader Inferface and DataSets
========
==========================
DataTypes
...
...
doc/api/v2/run_logic.rst
浏览文件 @
9f417f12
...
...
@@ -26,6 +26,12 @@ Event
Inference
=========
.. auto
function:: paddle.v2.infer
.. auto
module:: paddle.v2.inference
:members: Inference
:noindex:
.. autofunction:: paddle.v2.infer
:members:
:noindex:
python/paddle/v2/dataset/cifar.py
浏览文件 @
9f417f12
...
...
@@ -12,9 +12,17 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""
CIFAR dataset: https://www.cs.toronto.edu/~kriz/cifar.html
CIFAR dataset.
This module will download dataset from https://www.cs.toronto.edu/~kriz/cifar.html and
parse train set and test set into paddle reader creators.
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000
images per class. There are 50000 training images and 10000 test images.
The CIFAR-100 dataset is just like the CIFAR-10, except it has 100 classes containing
600 images each. There are 500 training images and 100 testing images per class.
TODO(yuyang18): Complete the comments.
"""
import
cPickle
...
...
@@ -54,20 +62,56 @@ def reader_creator(filename, sub_name):
def
train100
():
"""
CIFAR-100 train set creator.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 99].
:return: Train reader creator
:rtype: callable
"""
return
reader_creator
(
download
(
CIFAR100_URL
,
'cifar'
,
CIFAR100_MD5
),
'train'
)
def
test100
():
"""
CIFAR-100 test set cretor.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 9].
:return: Test reader creator.
:rtype: callable
"""
return
reader_creator
(
download
(
CIFAR100_URL
,
'cifar'
,
CIFAR100_MD5
),
'test'
)
def
train10
():
"""
CIFAR-10 train set creator.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 9].
:return: Train reader creator
:rtype: callable
"""
return
reader_creator
(
download
(
CIFAR10_URL
,
'cifar'
,
CIFAR10_MD5
),
'data_batch'
)
def
test10
():
"""
CIFAR-10 test set cretor.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 9].
:return: Test reader creator.
:rtype: callable
"""
return
reader_creator
(
download
(
CIFAR10_URL
,
'cifar'
,
CIFAR10_MD5
),
'test_batch'
)
...
...
python/paddle/v2/dataset/conll05.py
浏览文件 @
9f417f12
...
...
@@ -11,11 +11,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
tarfile
import
gzip
import
itertools
from
common
import
download
"""
Conll 2005 dataset. Paddle semantic role labeling Book and demo use this
dataset as an example. Because Conll 2005 is not free in public, the default
...
...
@@ -25,6 +20,12 @@ URL and MD5 to their Conll dataset.
TODO(yuyang18): Complete comments.
"""
import
tarfile
import
gzip
import
itertools
from
common
import
download
__all__
=
[
'test, get_dict'
,
'get_embedding'
]
DATA_URL
=
'http://www.cs.upc.edu/~srlconll/conll05st-tests.tar.gz'
...
...
python/paddle/v2/dataset/movielens.py
浏览文件 @
9f417f12
...
...
@@ -14,6 +14,10 @@
"""
Movielens 1-M dataset.
GroupLens Research collected and made available rating data sets from the
MovieLens web site (http://movielens.org). Movielens 1-M dataset contains 1 million
ratings from 6000 users on 4000 movies.
TODO(yuyang18): Complete comments.
"""
...
...
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