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2547f9d1
编写于
12月 29, 2018
作者:
M
minqiyang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Polish code
test=develop
上级
09e2e662
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
45 addition
and
40 deletion
+45
-40
paddle/fluid/framework/operator.h
paddle/fluid/framework/operator.h
+1
-1
paddle/fluid/framework/operator_test.cc
paddle/fluid/framework/operator_test.cc
+6
-6
paddle/fluid/imperative/layer.cc
paddle/fluid/imperative/layer.cc
+7
-6
paddle/fluid/imperative/layer.h
paddle/fluid/imperative/layer.h
+10
-13
paddle/fluid/imperative/tracer.h
paddle/fluid/imperative/tracer.h
+2
-1
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+2
-1
python/paddle/fluid/imperative/layers.py
python/paddle/fluid/imperative/layers.py
+16
-7
python/paddle/fluid/layer_helper.py
python/paddle/fluid/layer_helper.py
+1
-3
python/paddle/fluid/tests/unittests/test_imperative_mnist.py
python/paddle/fluid/tests/unittests/test_imperative_mnist.py
+0
-2
未找到文件。
paddle/fluid/framework/operator.h
浏览文件 @
2547f9d1
...
...
@@ -69,7 +69,7 @@ inline std::string GradVarName(const std::string& var_name) {
return
result
;
}
inline
std
::
string
Origin
VarName
(
const
std
::
string
&
grad_var_name
)
{
inline
std
::
string
GradOriginal
VarName
(
const
std
::
string
&
grad_var_name
)
{
std
::
size_t
pos
=
grad_var_name
.
rfind
(
kGradVarSuffix
);
if
(
pos
==
std
::
string
::
npos
)
{
return
grad_var_name
;
...
...
paddle/fluid/framework/operator_test.cc
浏览文件 @
2547f9d1
...
...
@@ -294,24 +294,24 @@ TEST(VarNameTest, all) {
std
::
string
grad_var_name
=
paddle
::
framework
::
GradVarName
(
var_name
);
ASSERT_EQ
(
grad_var_name
,
"X@GRAD"
);
std
::
string
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
grad_var_name
);
paddle
::
framework
::
GradOriginal
VarName
(
grad_var_name
);
ASSERT_EQ
(
original_var_name
,
"X"
);
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
original_var_name
);
original_var_name
=
paddle
::
framework
::
GradOriginal
VarName
(
original_var_name
);
ASSERT_EQ
(
original_var_name
,
"X"
);
std
::
string
var_name_2
(
"XYZ"
);
grad_var_name
=
paddle
::
framework
::
GradVarName
(
var_name_2
);
ASSERT_EQ
(
grad_var_name
,
"XYZ@GRAD"
);
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
grad_var_name
);
original_var_name
=
paddle
::
framework
::
GradOriginal
VarName
(
grad_var_name
);
ASSERT_EQ
(
original_var_name
,
"XYZ"
);
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
original_var_name
);
original_var_name
=
paddle
::
framework
::
GradOriginal
VarName
(
original_var_name
);
ASSERT_EQ
(
original_var_name
,
"XYZ"
);
std
::
string
var_name_3
(
""
);
grad_var_name
=
paddle
::
framework
::
GradVarName
(
var_name_3
);
ASSERT_EQ
(
grad_var_name
,
"@GRAD"
);
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
grad_var_name
);
original_var_name
=
paddle
::
framework
::
GradOriginal
VarName
(
grad_var_name
);
ASSERT_EQ
(
original_var_name
,
""
);
original_var_name
=
paddle
::
framework
::
Origin
VarName
(
original_var_name
);
original_var_name
=
paddle
::
framework
::
GradOriginal
VarName
(
original_var_name
);
ASSERT_EQ
(
original_var_name
,
""
);
}
paddle/fluid/imperative/layer.cc
浏览文件 @
2547f9d1
...
...
@@ -32,6 +32,11 @@ using framework::Variable;
void
AddTo
(
Variable
*
src
,
Variable
*
dst
)
{
framework
::
LoDTensor
*
dst_tensor
=
dst
->
GetMutable
<
framework
::
LoDTensor
>
();
framework
::
LoDTensor
*
src_tensor
=
src
->
GetMutable
<
framework
::
LoDTensor
>
();
// FIXME(minqiyang): loss_grad op will pass a zero grad of label
// ugly fix for it
if
(
src_tensor
->
numel
()
==
0
)
{
return
;
}
PADDLE_ENFORCE
(
dst_tensor
->
numel
()
==
src_tensor
->
numel
(),
"dst_numel %lld vs. src_numel %lld"
,
dst_tensor
->
numel
(),
src_tensor
->
numel
());
...
...
@@ -157,13 +162,9 @@ std::map<std::string, std::vector<VarBase*>> OpBase::ApplyGrad() {
auto
&
outputs
=
grad_outputs
[
it
.
first
];
auto
&
origin_outputs
=
it
.
second
;
auto
&
forward_inputs
=
input_vars_
[
framework
::
OriginVarName
(
it
.
first
)];
for
(
size_t
i
=
0
;
i
<
outputs
.
size
();
++
i
)
{
if
(
!
forward_inputs
[
i
]
->
stop_gradient_
)
{
framework
::
Variable
*
orig_grad
=
origin_outputs
[
i
];
AddTo
(
outputs
[
i
],
orig_grad
);
}
framework
::
Variable
*
orig_grad
=
origin_outputs
[
i
];
AddTo
(
outputs
[
i
],
orig_grad
);
}
}
return
input_vars_
;
...
...
paddle/fluid/imperative/layer.h
浏览文件 @
2547f9d1
...
...
@@ -81,7 +81,15 @@ class OpBase;
class
VarBase
{
public:
explicit
VarBase
(
bool
stop_gradient
=
false
)
VarBase
()
:
pre_op_
(
nullptr
),
pre_op_out_idx_
(
-
1
),
var_desc_
(
nullptr
),
var_
(
new
framework
::
Variable
()),
grads_
(
new
framework
::
Variable
()),
stop_gradient_
(
false
)
{}
explicit
VarBase
(
bool
stop_gradient
)
:
pre_op_
(
nullptr
),
pre_op_out_idx_
(
-
1
),
var_desc_
(
nullptr
),
...
...
@@ -89,23 +97,12 @@ class VarBase {
grads_
(
new
framework
::
Variable
()),
stop_gradient_
(
stop_gradient
)
{}
virtual
~
VarBase
()
{
if
(
var_
)
{
delete
var_
;
var_
=
nullptr
;
}
if
(
grads_
)
{
delete
grads_
;
grads_
=
nullptr
;
}
}
virtual
~
VarBase
()
{}
void
RunBackward
();
framework
::
LoDTensor
&
Grad
();
inline
framework
::
Variable
*
GradVar
()
{
return
grads_
;
}
inline
std
::
string
GradName
()
const
{
PADDLE_ENFORCE
(
var_desc_
,
...
...
paddle/fluid/imperative/tracer.h
浏览文件 @
2547f9d1
...
...
@@ -57,7 +57,7 @@ class Tracer {
void
Trace
(
OpBase
*
op
,
const
std
::
map
<
std
::
string
,
std
::
vector
<
VarBase
*>>&
inputs
,
const
std
::
map
<
std
::
string
,
std
::
vector
<
VarBase
*>>&
outputs
,
framework
::
BlockDesc
*
block
,
const
bool
stop_gradient
)
{
framework
::
BlockDesc
*
block
,
const
bool
stop_gradient
=
false
)
{
std
::
map
<
std
::
string
,
VarBase
*>
vars
;
framework
::
OpDesc
*
op_desc
=
op
->
op_desc_
;
...
...
@@ -153,6 +153,7 @@ class Tracer {
}
}
}
for
(
auto
it
:
grad_op_desc
->
Outputs
())
{
auto
&
grad_out_vars
=
op
->
grad_output_vars_
[
it
.
first
];
for
(
const
std
::
string
&
grad_outvar
:
it
.
second
)
{
...
...
paddle/fluid/pybind/pybind.cc
浏览文件 @
2547f9d1
...
...
@@ -125,7 +125,8 @@ PYBIND11_MODULE(core, m) {
m
.
add_object
(
"_cleanup"
,
py
::
capsule
([]()
{
ScopePool
::
Instance
().
Clear
();
}));
py
::
class_
<
imperative
::
VarBase
,
PyVarBase
>
(
m
,
"VarBase"
,
R"DOC()DOC"
)
py
::
class_
<
imperative
::
VarBase
,
std
::
shared_ptr
<
imperative
::
VarBase
>>
(
m
,
"VarBase"
,
R"DOC()DOC"
)
// .def(py::init<>())
.
def
(
py
::
init
<
bool
>
(),
py
::
arg
(
"stop_gradient"
)
=
false
)
.
def
(
"_run_backward"
,
...
...
python/paddle/fluid/imperative/layers.py
浏览文件 @
2547f9d1
...
...
@@ -24,20 +24,29 @@ __all__ = ['PyLayer']
class
PyLayer
(
core
.
Layer
):
def
__init__
(
self
,
*
args
,
**
kwargs
):
self
.
_once_built
=
True
def
__init__
(
self
,
dtype
=
core
.
VarDesc
.
VarType
.
FP32
,
param_attr
=
None
,
bias_attr
=
None
,
name
=
None
):
from
..layer_helper
import
LayerHelper
self
.
_helper
=
LayerHelper
(
type
(
self
).
__name__
,
**
kwargs
)
self
.
_dtype
=
kwargs
.
get
(
"dtype"
,
core
.
VarDesc
.
VarType
.
FP32
)
self
.
_helper
=
LayerHelper
(
type
(
self
).
__name__
,
param_attr
=
param_attr
,
bias_attr
=
bias_attr
,
dtype
=
dtype
,
name
=
name
)
self
.
_once_built
=
False
self
.
_dtype
=
dtype
def
_build_once
(
self
,
inputs
):
pass
def
__call__
(
self
,
*
inputs
):
if
self
.
_once_built
:
if
not
self
.
_once_built
:
self
.
_build_once
(
*
inputs
)
self
.
_once_built
=
Fals
e
self
.
_once_built
=
Tru
e
outputs
=
self
.
forward
(
*
inputs
)
...
...
python/paddle/fluid/layer_helper.py
浏览文件 @
2547f9d1
...
...
@@ -314,11 +314,9 @@ class LayerHelper(object):
WeightNormParamAttr
.
params_with_weight_norm
.
append
(
param
)
return
param
if
_in_imperative_mode
():
self
.
main_program
.
global_block
().
create_parameter
(
dtype
=
dtype
,
shape
=
shape
,
**
attr
.
_to_kwargs
())
# In imperative mode, we want the returned parameter to be
# initialized so that it can be used imperatively.
return
self
.
startup
_program
.
global_block
().
create_parameter
(
return
self
.
main
_program
.
global_block
().
create_parameter
(
dtype
=
dtype
,
shape
=
shape
,
**
attr
.
_to_kwargs
(
with_initializer
=
True
))
...
...
python/paddle/fluid/tests/unittests/test_imperative_mnist.py
浏览文件 @
2547f9d1
...
...
@@ -111,8 +111,6 @@ class TestImperativeMnist(unittest.TestCase):
predict
=
mnist
(
img
)
out
=
fluid
.
layers
.
cross_entropy
(
predict
,
label
)
out
.
_backward
()
filter_grad
=
mnist
.
_simple_img_conv_pool_1
.
_conv2d
.
_filter_param
.
_gradient
(
)
sgd
.
minimize
(
out
)
...
...
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