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未验证 提交 e32f4c4f 编写于 作者: J jiaqi 提交者： GitHub
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examples use code-block in dataset.py (#17451) 

* examples use code-block in dataset.py
test=develop
test=document_preview

* add QueueDataset example
test=develop
test=document_preview
上级 5a6ab380
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Showing with 141 addition and 71 deletion
python/paddle/fluid/dataset.py
浏览文件 @ e32f4c4f
......@@ -25,7 +25,11 @@ class DatasetFactory(object):
the default is "QueueDataset".
Example:
dataset = paddle.fluid.DatasetFactory.create_dataset("InMemoryDataset")
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
"""
def __init__(self):
......@@ -42,8 +46,11 @@ class DatasetFactory(object):
Default is QueueDataset.
Examples:
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
"""
try:
dataset = globals()[datafeed_class]()
......@@ -70,8 +77,12 @@ class DatasetBase(object):
Set pipe command of current dataset
A pipe command is a UNIX pipeline command that can be used only
Example:
>>> dataset.set_pipe_command("python my_script.py")
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_pipe_command("python my_script.py")
Args:
pipe_command(str): pipe command
......@@ -83,8 +94,12 @@ class DatasetBase(object):
"""
Set batch size. Will be effective during training
Example:
>>> dataset.set_batch_size(128)
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_batch_size(128)
Args:
batch_size(int): batch size
......@@ -96,8 +111,12 @@ class DatasetBase(object):
"""
Set thread num, it is the num of readers.
Example:
>>> dataset.set_thread(12)
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_thread(12)
Args:
thread_num(int): thread num
......@@ -109,8 +128,12 @@ class DatasetBase(object):
"""
Set file list in current worker.
Example:
>>> dataset.set_filelist(['a.txt', 'b.txt'])
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_filelist(['a.txt', 'b.txt'])
Args:
filelist(list): file list
......@@ -121,8 +144,12 @@ class DatasetBase(object):
"""
Set Variables which you will use.
Example:
>>> dataset.set_use_var([data, label])
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_use_var([data, label])
Args:
var_list(list): variable list
......@@ -148,8 +175,12 @@ class DatasetBase(object):
"""
Set hdfs config: fs name ad ugi
Example:
>>> dataset.set_hdfs_config("my_fs_name", "my_fs_ugi")
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
dataset.set_hdfs_config("my_fs_name", "my_fs_ugi")
Args:
fs_name(str): fs name
......@@ -168,8 +199,12 @@ class DatasetBase(object):
"""
Returns a protobuf message for this DataFeedDesc
Example:
>>> print(dataset.desc())
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset()
print(dataset.desc())
Returns:
A string message
......@@ -184,7 +219,7 @@ class InMemoryDataset(DatasetBase):
This class should be created by DatasetFactory
Example:
dataset = paddle.fluid.DatasetFactory.create_dataset("InMemoryDataset")
dataset = paddle.fluid.DatasetFactory().create_dataset("InMemoryDataset")
"""
def __init__(self):
......@@ -196,12 +231,14 @@ class InMemoryDataset(DatasetBase):
"""
Load data into memory
Example:
>>> import paddle.fluid as fluid
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
"""
self._prepare_to_run()
self.dataset.load_into_memory()
......@@ -210,13 +247,15 @@ class InMemoryDataset(DatasetBase):
"""
Local shuffle
Example:
>>> import paddle.fluid as fluid
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
>>> dataset.local_shuffle()
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
dataset.local_shuffle()
"""
self.dataset.local_shuffle()
......@@ -228,13 +267,15 @@ class InMemoryDataset(DatasetBase):
If you run in distributed mode, you should pass fleet instead of None.
Examples:
>>> import paddle.fluid as fluid
>>> from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
>>> dataset.global_shuffle(fleet)
.. code-block:: python
import paddle.fluid as fluid
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
dataset.global_shuffle(fleet)
Args:
fleet(Fleet): fleet singleton. Default None.
......@@ -258,18 +299,21 @@ class InMemoryDataset(DatasetBase):
"""
Release InMemoryDataset memory data, when data will not be used again.
Example:
>>> import paddle.fluid as fluid
>>> from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
>>> dataset.global_shuffle(fleet)
>>> exe = fluid.Executor(fluid.CPUPlace())
>>> exe.run(fluid.default_startup_program())
>>> exe.train_from_dataset(fluid.default_main_program(), dataset)
>>> dataset.release_memory()
Examples:
.. code-block:: python
import paddle.fluid as fluid
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
dataset.global_shuffle(fleet)
exe = fluid.Executor(fluid.CPUPlace())
exe.run(fluid.default_startup_program())
exe.train_from_dataset(fluid.default_main_program(), dataset)
dataset.release_memory()
"""
self.dataset.release_memory()
......@@ -287,14 +331,16 @@ class InMemoryDataset(DatasetBase):
Returns:
The size of memory data.
Example:
>>> import paddle.fluid as fluid
>>> from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
>>> print dataset.get_memory_data_size(fleet)
Examples:
.. code-block:: python
import paddle.fluid as fluid
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
print dataset.get_memory_data_size(fleet)
"""
import numpy as np
......@@ -322,15 +368,17 @@ class InMemoryDataset(DatasetBase):
Returns:
The size of shuffle data.
Example:
>>> import paddle.fluid as fluid
>>> from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
>>> dataset = fluid.DatasetFactory.create_dataset("InMemoryDataset")
>>> filelist = ["a.txt", "b.txt"]
>>> dataset.set_filelist(filelist)
>>> dataset.load_into_memory()
>>> dataset.global_shuffle(fleet)
>>> print dataset.get_shuffle_data_size(fleet)
Examples:
.. code-block:: python
import paddle.fluid as fluid
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
dataset = fluid.DatasetFactory().create_dataset("InMemoryDataset")
filelist = ["a.txt", "b.txt"]
dataset.set_filelist(filelist)
dataset.load_into_memory()
dataset.global_shuffle(fleet)
print dataset.get_shuffle_data_size(fleet)
"""
import numpy as np
......@@ -348,9 +396,12 @@ class QueueDataset(DatasetBase):
"""
QueueDataset, it will process data streamly.
Example:
import paddle.fluid as fluid
dataset = fluid.DatasetFactory.create_dataset("QueueDataset")
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset("QueueDataset")
"""
def __init__(self):
......@@ -363,10 +414,18 @@ class QueueDataset(DatasetBase):
def local_shuffle(self):
"""
Local shuffle
Local shuffle data.
Local shuffle is not supported in QueueDataset
NotImplementedError will be raised
Examples:
.. code-block:: python
import paddle.fluid as fluid
dataset = fluid.DatasetFactory().create_dataset("QueueDataset")
dataset.local_shuffle()
"""
raise NotImplementedError(
"QueueDataset does not support local shuffle, "
......@@ -374,8 +433,19 @@ class QueueDataset(DatasetBase):
def global_shuffle(self, fleet=None):
"""
Global shuffle data.
Global shuffle is not supported in QueueDataset
NotImplementedError will be raised
Examples:
.. code-block:: python
import paddle.fluid as fluid
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
dataset = fluid.DatasetFactory().create_dataset("QueueDataset")
dataset.global_shuffle(fleet)
"""
raise NotImplementedError(
"QueueDataset does not support global shuffle, "
......
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