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体验新版 GitCode,发现更多精彩内容 >>
提交
0690a9fb
编写于
3月 27, 2017
作者:
Q
qijun
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电子邮件补丁
差异文件
add v2 run logic doc
上级
c36bf197
变更
3
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3 changed file
with
30 addition
and
3 deletion
+30
-3
doc/api/v2/run_logic.rst
doc/api/v2/run_logic.rst
+4
-0
python/paddle/v2/inference.py
python/paddle/v2/inference.py
+11
-1
python/paddle/v2/trainer.py
python/paddle/v2/trainer.py
+15
-2
未找到文件。
doc/api/v2/run_logic.rst
浏览文件 @
0690a9fb
...
...
@@ -6,22 +6,26 @@ Parameters
==========
.. automodule:: paddle.v2.parameters
:members: Parameters
:noindex:
Trainer
=======
.. automodule:: paddle.v2.trainer
:members: Trainer
:noindex:
Event
=====
.. automodule:: paddle.v2.event
:members: Event
:noindex:
Inference
=========
.. autofunction:: paddle.v2.infer
:members: Inference
:noindex:
python/paddle/v2/inference.py
浏览文件 @
0690a9fb
...
...
@@ -9,6 +9,16 @@ __all__ = ['infer']
class
Inference
(
object
):
"""
Inference combines neural network output and parameters together
to do inference.
:param outptut_layer: The neural network that should be inferenced.
:type output_layer: paddle.v2.config_base.Layer or the sequence
of paddle.v2.config_base.Layer
:param parameters: The parameters dictionary.
:type parameters: paddle.v2.parameters.Parameters
"""
def
__init__
(
self
,
output_layer
,
parameters
):
topo
=
topology
.
Topology
(
output_layer
)
gm
=
api
.
GradientMachine
.
createFromConfigProto
(
...
...
python/paddle/v2/trainer.py
浏览文件 @
0690a9fb
...
...
@@ -29,7 +29,8 @@ def default_event_handler(event):
class
SGD
(
object
):
"""
Simple SGD Trainer.
TODO(yuyang18): Complete comments
SGD Trainer combines data reader, network topolopy and update_equation together
to train/test a neural network.
:param update_equation: The optimizer object.
:type update_equation: paddle.v2.optimizer.Optimizer
...
...
@@ -65,7 +66,9 @@ class SGD(object):
"""
Training method. Will train num_passes of input data.
:param reader:
:param reader: A reader that reads and yeilds data items. Usually we use a
batched reader to do mini-batch training.
:type reader: collections.Iterable
:param num_passes: The total train passes.
:param event_handler: Event handler. A method will be invoked when event
occurred.
...
...
@@ -123,6 +126,16 @@ class SGD(object):
self
.
__gradient_machine__
.
finish
()
def
test
(
self
,
reader
,
feeding
=
None
):
"""
Testing method. Will test input data.
:param reader: A reader that reads and yeilds data items.
:type reader: collections.Iterable
:param feeding: Feeding is a map of neural network input name and array
index that reader returns.
:type feeding: dict
:return:
"""
feeder
=
DataFeeder
(
self
.
__data_types__
,
feeding
)
evaluator
=
self
.
__gradient_machine__
.
makeEvaluator
()
out_args
=
api
.
Arguments
.
createArguments
(
0
)
...
...
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