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PaddleDetection
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a2ffbd53
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PaddleDetection
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a2ffbd53
编写于
5月 01, 2018
作者:
H
Helin Wang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
scaffolding for the new Fluid API
上级
73858547
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
119 addition
and
1 deletion
+119
-1
python/paddle/fluid/__init__.py
python/paddle/fluid/__init__.py
+12
-1
python/paddle/fluid/inferencer.py
python/paddle/fluid/inferencer.py
+28
-0
python/paddle/fluid/params.py
python/paddle/fluid/params.py
+33
-0
python/paddle/fluid/trainer.py
python/paddle/fluid/trainer.py
+46
-0
未找到文件。
python/paddle/fluid/__init__.py
浏览文件 @
a2ffbd53
...
...
@@ -20,6 +20,16 @@ from framework import *
import
executor
from
executor
import
*
import
trainer
from
trainer
import
Trainer
from
trainer
import
Event
import
inferencer
from
inferencer
import
Inferencer
import
params
from
params
import
Params
import
io
import
evaluator
import
initializer
...
...
@@ -47,7 +57,8 @@ from parallel_executor import ParallelExecutor
Tensor
=
LoDTensor
__all__
=
framework
.
__all__
+
executor
.
__all__
+
concurrency
.
__all__
+
[
__all__
=
framework
.
__all__
+
executor
.
__all__
+
concurrency
.
__all__
+
\
trainer
.
__all__
+
inferencer
.
__all__
+
params
.
__all__
+
[
'io'
,
'initializer'
,
'layers'
,
...
...
python/paddle/fluid/inferencer.py
0 → 100644
浏览文件 @
a2ffbd53
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# 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.
__all__
=
[
'Inferencer'
,
]
class
Inferencer
(
object
):
def
__init__
(
self
,
network_func
,
params
,
place
=
None
):
self
.
network_func
=
network_func
self
.
params
=
params
self
.
place
=
place
def
infer
(
self
,
inputs
):
pass
python/paddle/fluid/params.py
0 → 100644
浏览文件 @
a2ffbd53
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# 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.
from
.
import
core
__all__
=
[
'Params'
,
]
class
Params
(
object
):
def
__init__
(
self
,
path
=
None
):
self
.
scope
=
core
.
Scope
()
if
path
:
self
.
_load
(
path
)
def
_load
(
self
,
path
):
pass
def
save
(
self
,
path
):
pass
python/paddle/fluid/trainer.py
0 → 100644
浏览文件 @
a2ffbd53
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# 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.
from
enum
import
Enum
__all__
=
[
'Event'
,
'Trainer'
,
]
class
Event
(
Enum
):
BEGIN_EPOCH
=
0
END_EPOCH
=
1
BEGIN_STEP
=
2
END_STEP
=
3
def
__init__
(
self
):
self
.
step
=
0
self
.
epoch
=
0
self
.
type
=
Event
.
BEGIN_EPOCH
class
Trainer
(
object
):
def
__init__
(
self
,
network_func
,
optimizer
,
params
=
None
,
place
=
None
):
self
.
network_func
=
network_func
self
.
optimizer
=
optimizer
self
.
params
=
params
self
.
place
=
place
def
train
(
self
,
reader
,
num_epochs
,
event_handler
):
pass
def
test
(
self
,
reader
):
pass
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