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体验新版 GitCode,发现更多精彩内容 >>
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a6e69d3c
编写于
6月 14, 2018
作者:
F
fengjiayi
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电子邮件补丁
差异文件
Add doc for 'batch'
上级
8a136d14
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1
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1 changed file
with
40 addition
and
5 deletion
+40
-5
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+40
-5
未找到文件。
python/paddle/fluid/layers/io.py
浏览文件 @
a6e69d3c
...
...
@@ -549,6 +549,41 @@ def shuffle(reader, buffer_size):
def
batch
(
reader
,
batch_size
):
"""
This layer is a reader decorator. It takes a reader and adds
'batching' decoration on it. When reading with the result
decorated reader, output data will be automatically organized
to the form of batches.
Args:
reader(Variable): The reader to be decorated with 'batching'.
batch_size(int): The batch size.
Returns:
Variable: The reader which has been decorated with 'batching'.
Examples:
.. code-block:: python
raw_reader = fluid.layers.io.open_files(filenames=['./data1.recordio',
'./data2.recordio'],
shapes=[(3,224,224), (1)],
lod_levels=[0, 0],
dtypes=['float32', 'int64'],
thread_num=2,
buffer_size=2)
batch_reader = fluid.layers.batch(reader=raw_reader, batch_size=5)
# If we read data with the raw_reader:
# data = fluid.layers.read_file(raw_reader)
# We can only get data instance by instance.
#
# However, if we read data with the batch_reader:
# data = fluid.layers.read_file(batch_reader)
# Each 5 adjacent instances will be automatically combined together
# to become a batch. So what we get('data') is a batch data instead
# of an instance.
"""
return
__create_unshared_decorated_reader__
(
'create_batch_reader'
,
reader
,
{
'batch_size'
:
int
(
batch_size
)})
...
...
@@ -571,20 +606,20 @@ def parallel(reader):
{})
def
read_file
(
file_obj
):
def
read_file
(
reader
):
"""
Read data from a file objec
t.
Execute the given reader and get data via i
t.
A
file object is also a Variable. It can be a raw file object
generated by
A
reader is also a Variable. It can be a raw reader
generated by
`fluid.layers.open_files()` or a decorated one generated by
`fluid.layers.double_buffer()` and so on.
Args:
file_obj(Variable): The file object from where to read data
.
reader(Variable): The reader to execute
.
Returns:
Tuple[Variable]: Data read
from the given file object
.
Tuple[Variable]: Data read
via the given reader
.
Examples:
.. code-block:: python
...
...
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