Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle
提交
3ffcd693
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2298
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
未验证
提交
3ffcd693
编写于
12月 30, 2022
作者:
姜
姜永久
提交者:
GitHub
12月 30, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Yj/rm legacy part 0 (#49424)
* rm legacy * clear in_legacy * fix tracer
上级
839e1499
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
71 addition
and
124 deletion
+71
-124
python/paddle/common_ops_import.py
python/paddle/common_ops_import.py
+0
-1
python/paddle/fluid/dygraph/tracer.py
python/paddle/fluid/dygraph/tracer.py
+1
-1
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+30
-69
python/paddle/fluid/layers/layer_function_generator.py
python/paddle/fluid/layers/layer_function_generator.py
+0
-1
python/paddle/fluid/tests/unittests/op_test.py
python/paddle/fluid/tests/unittests/op_test.py
+3
-3
python/paddle/framework/__init__.py
python/paddle/framework/__init__.py
+0
-1
python/paddle/nn/functional/norm.py
python/paddle/nn/functional/norm.py
+37
-48
未找到文件。
python/paddle/common_ops_import.py
浏览文件 @
3ffcd693
...
...
@@ -24,7 +24,6 @@ from paddle.fluid.framework import ( # noqa: F401
OpProtoHolder
,
Variable
,
_dygraph_tracer
,
_in_legacy_dygraph
,
_non_static_mode
,
_varbase_creator
,
convert_np_dtype_to_dtype_
,
...
...
python/paddle/fluid/dygraph/tracer.py
浏览文件 @
3ffcd693
...
...
@@ -306,7 +306,7 @@ class Tracer(core.Tracer):
stop_gradient
=
False
,
inplace_map
=
None
,
):
if
not
framework
.
_in_legacy_dygraph
():
if
framework
.
in_dygraph_mode
():
# inputs : {"sum": [tensor], ...}
# outputs : {"sum": [tensor], ...}
if
type
in
name_mapping
.
keys
():
...
...
python/paddle/fluid/framework.py
浏览文件 @
3ffcd693
...
...
@@ -98,11 +98,10 @@ _dy2st_enable_standalone_executor_ = os.environ.get(
# 2. dygraph_mode():
# This flags inidicates we are now running in dygraph mode which called eager mode before.
# 3. _in_legacy_dygraph():
# This flags
inidicates we are now running in legacy dygraph mode
# This flags
has been deprecated
#
# They have a relation ship as below:
# Both dygraph_mode and _in_legacy_dygraph are _non_static_mode, but if you are running in
# dygraph mode means you are not in _in_legacy_dygraph.
# Since _in_legacy_graph is deprecated, so dygraph_mode is _non_static_mode
#
# Why we have to make different of _in_legacy_dygraph and dygraph_mode?
# In some performance issue, we find that python if statement cause server performance problem
...
...
@@ -237,10 +236,6 @@ def in_dygraph_mode():
return
(
_dygraph_tracer_
is
not
None
)
and
_in_eager_mode_
def
_in_legacy_dygraph
():
return
(
not
_in_eager_mode_
)
and
(
_dygraph_tracer_
is
not
None
)
def
_non_static_mode
():
return
_dygraph_tracer_
is
not
None
...
...
@@ -1334,8 +1329,6 @@ class VariableMetaClass(type):
if
in_dygraph_mode
():
return
issubclass
(
t
,
core
.
eager
.
Tensor
)
else
:
if
_in_legacy_dygraph
():
return
issubclass
(
t
,
core
.
VarBase
)
return
issubclass
(
t
,
Variable
)
...
...
@@ -1346,8 +1339,6 @@ class ParameterMetaClass(VariableMetaClass):
if
in_dygraph_mode
():
return
issubclass
(
t
,
EagerParamBase
)
else
:
if
_in_legacy_dygraph
():
return
issubclass
(
t
,
ParamBase
)
return
issubclass
(
t
,
Parameter
)
...
...
@@ -3893,31 +3884,18 @@ class Block:
error_clip
=
error_clip
,
)
else
:
if
_in_legacy_dygraph
():
var
=
ParamBase
(
d
.
shape
(),
d
.
dtype
(),
type
=
orig_var_type
,
name
=
new_name
,
stop_gradient
=
stop_gradient
,
trainable
=
trainable
,
optimize_attr
=
optimize_attr
,
regularizer
=
regularizer
,
error_clip
=
error_clip
,
)
else
:
var
=
Parameter
(
self
,
d
.
shape
(),
d
.
dtype
(),
type
=
orig_var_type
,
name
=
new_name
,
stop_gradient
=
stop_gradient
,
trainable
=
trainable
,
optimize_attr
=
optimize_attr
,
regularizer
=
regularizer
,
error_clip
=
error_clip
,
)
var
=
Parameter
(
self
,
d
.
shape
(),
d
.
dtype
(),
type
=
orig_var_type
,
name
=
new_name
,
stop_gradient
=
stop_gradient
,
trainable
=
trainable
,
optimize_attr
=
optimize_attr
,
regularizer
=
regularizer
,
error_clip
=
error_clip
,
)
elif
var_type
==
"Variable"
:
var
=
Variable
(
self
,
...
...
@@ -3946,10 +3924,7 @@ class Block:
if
in_dygraph_mode
():
param
=
EagerParamBase
(
*
args
,
**
kwargs
)
else
:
if
_in_legacy_dygraph
():
param
=
ParamBase
(
*
args
,
**
kwargs
)
else
:
param
=
Parameter
(
global_block
,
*
args
,
**
kwargs
)
param
=
Parameter
(
global_block
,
*
args
,
**
kwargs
)
if
'initializer'
in
kwargs
:
...
...
@@ -4262,35 +4237,21 @@ class Block:
name
=
v
.
name
,
)
else
:
if
_in_legacy_dygraph
():
new_p
=
ParamBase
(
shape
=
v
.
shape
,
dtype
=
v
.
dtype
,
type
=
v
.
type
,
lod_level
=
v
.
lod_level
,
stop_gradient
=
p
.
stop_gradient
,
trainable
=
p
.
trainable
,
optimize_attr
=
p
.
optimize_attr
,
regularizer
=
p
.
regularizer
,
error_clip
=
p
.
error_clip
,
name
=
v
.
name
,
)
else
:
new_p
=
Parameter
(
block
=
self
,
shape
=
v
.
shape
,
dtype
=
v
.
dtype
,
type
=
v
.
type
,
lod_level
=
v
.
lod_level
if
v
.
type
==
core
.
VarDesc
.
VarType
.
LOD_TENSOR
else
None
,
stop_gradient
=
p
.
stop_gradient
,
trainable
=
p
.
trainable
,
optimize_attr
=
p
.
optimize_attr
,
regularizer
=
p
.
regularizer
,
error_clip
=
p
.
error_clip
,
name
=
v
.
name
,
)
new_p
=
Parameter
(
block
=
self
,
shape
=
v
.
shape
,
dtype
=
v
.
dtype
,
type
=
v
.
type
,
lod_level
=
v
.
lod_level
if
v
.
type
==
core
.
VarDesc
.
VarType
.
LOD_TENSOR
else
None
,
stop_gradient
=
p
.
stop_gradient
,
trainable
=
p
.
trainable
,
optimize_attr
=
p
.
optimize_attr
,
regularizer
=
p
.
regularizer
,
error_clip
=
p
.
error_clip
,
name
=
v
.
name
,
)
self
.
vars
[
new_p
.
name
]
=
new_p
def
_clone_variable
(
self
,
var
,
force_persistable
=
True
):
...
...
python/paddle/fluid/layers/layer_function_generator.py
浏览文件 @
3ffcd693
...
...
@@ -272,7 +272,6 @@ def generate_activation_fn(op_type):
op
=
getattr
(
_C_ops
,
op_type
)
return
op
(
x
)
# TODO(dev): Because some ops' yaml has not been migrated.
# Replace it with _in_legacy_dygraph while all yaml work is done.
if
in_dygraph_mode
()
and
hasattr
(
_legacy_C_ops
,
op_type
):
op
=
getattr
(
_legacy_C_ops
,
op_type
)
return
op
(
x
)
...
...
python/paddle/fluid/tests/unittests/op_test.py
浏览文件 @
3ffcd693
...
...
@@ -38,8 +38,8 @@ from paddle.fluid.framework import (
_dygraph_tracer
,
_enable_legacy_dygraph
,
_in_eager_without_dygraph_check
,
_in_legacy_dygraph
,
_test_eager_guard
,
in_dygraph_mode
,
)
from
paddle.fluid.op
import
Operator
from
paddle.jit.dy2static.utils
import
parse_arg_and_kwargs
...
...
@@ -716,7 +716,7 @@ class OpTest(unittest.TestCase):
if
if_return_inputs_grad_dict
:
v
.
stop_gradient
=
False
if
not
_in_legacy_dygraph
(
):
if
hasattr
(
v
,
"retain_grads"
):
v
.
retain_grads
()
if
has_lod
:
...
...
@@ -2515,7 +2515,7 @@ class OpTest(unittest.TestCase):
for
no_grad_val
in
no_grad_set
:
del
inputs
[
no_grad_val
]
if
not
_in_legacy_dygraph
():
if
in_dygraph_mode
():
core
.
eager
.
run_backward
(
fluid
.
layers
.
utils
.
flatten
(
outputs
),
grad_outputs
,
False
)
...
...
python/paddle/framework/__init__.py
浏览文件 @
3ffcd693
...
...
@@ -64,7 +64,6 @@ from ..fluid.framework import _dygraph_tracer # noqa: F401
from
..fluid.layer_helper
import
LayerHelper
# noqa: F401
from
..fluid.framework
import
in_dygraph_mode
# noqa: F401
from
..fluid.framework
import
_in_legacy_dygraph
# noqa: F401
from
..fluid.framework
import
_global_flags
# noqa: F401
from
..fluid.framework
import
_apply_pass
# noqa: F401
from
..fluid.framework
import
switch_main_program
...
...
python/paddle/nn/functional/norm.py
浏览文件 @
3ffcd693
...
...
@@ -17,8 +17,8 @@ import numbers
# TODO: define normalization api
import
paddle
import
paddle.fluid
as
fluid
from
paddle
import
_C_ops
,
_legacy_C_ops
,
in_dynamic_mode
from
paddle.fluid.framework
import
_in_legacy_dygraph
,
in_dygraph_mode
from
paddle
import
_C_ops
,
in_dynamic_mode
from
paddle.fluid.framework
import
in_dygraph_mode
from
...fluid
import
dygraph_utils
from
...fluid.data_feeder
import
check_type
,
check_variable_and_dtype
...
...
@@ -336,54 +336,43 @@ def layer_norm(
out
,
_
,
_
=
_C_ops
.
layer_norm
(
x
,
weight
,
bias
,
epsilon
,
begin_norm_axis
)
return
out
if
_in_legacy_dygraph
():
out
,
_
,
_
=
_legacy_C_ops
.
layer_norm
(
x
,
weight
,
bias
,
'epsilon'
,
epsilon
,
'begin_norm_axis'
,
begin_norm_axis
,
else
:
check_variable_and_dtype
(
x
,
'input'
,
[
'float16'
,
'float32'
,
'float64'
],
'LayerNorm'
)
inputs
=
dict
()
inputs
[
'X'
]
=
[
x
]
if
weight
:
inputs
[
'Scale'
]
=
[
weight
]
if
bias
:
inputs
[
'Bias'
]
=
[
bias
]
attrs
=
{
"epsilon"
:
epsilon
,
"begin_norm_axis"
:
begin_norm_axis
}
# create output
helper
=
LayerHelper
(
'layer_norm'
,
**
locals
())
dtype
=
x
.
dtype
mean_out
=
helper
.
create_variable_for_type_inference
(
dtype
=
dtype
,
stop_gradient
=
True
)
variance_out
=
helper
.
create_variable_for_type_inference
(
dtype
=
dtype
,
stop_gradient
=
True
)
layer_norm_out
=
helper
.
create_variable_for_type_inference
(
dtype
)
helper
.
append_op
(
type
=
"layer_norm"
,
inputs
=
inputs
,
outputs
=
{
"Y"
:
layer_norm_out
,
"Mean"
:
mean_out
,
"Variance"
:
variance_out
,
},
attrs
=
{
"epsilon"
:
epsilon
,
"begin_norm_axis"
:
begin_norm_axis
},
)
return
out
check_variable_and_dtype
(
x
,
'input'
,
[
'float16'
,
'float32'
,
'float64'
],
'LayerNorm'
)
inputs
=
dict
()
inputs
[
'X'
]
=
[
x
]
if
weight
:
inputs
[
'Scale'
]
=
[
weight
]
if
bias
:
inputs
[
'Bias'
]
=
[
bias
]
attrs
=
{
"epsilon"
:
epsilon
,
"begin_norm_axis"
:
begin_norm_axis
}
# create output
helper
=
LayerHelper
(
'layer_norm'
,
**
locals
())
dtype
=
x
.
dtype
mean_out
=
helper
.
create_variable_for_type_inference
(
dtype
=
dtype
,
stop_gradient
=
True
)
variance_out
=
helper
.
create_variable_for_type_inference
(
dtype
=
dtype
,
stop_gradient
=
True
)
layer_norm_out
=
helper
.
create_variable_for_type_inference
(
dtype
)
helper
.
append_op
(
type
=
"layer_norm"
,
inputs
=
inputs
,
outputs
=
{
"Y"
:
layer_norm_out
,
"Mean"
:
mean_out
,
"Variance"
:
variance_out
,
},
attrs
=
{
"epsilon"
:
epsilon
,
"begin_norm_axis"
:
begin_norm_axis
},
)
return
helper
.
append_activation
(
layer_norm_out
)
return
helper
.
append_activation
(
layer_norm_out
)
def
instance_norm
(
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录