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283c4dbe
编写于
5月 10, 2018
作者:
S
Siddharth Goyal
提交者:
GitHub
5月 10, 2018
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add FP16 option in save_combine_op (#10471)
* Add FP16 option in save_combine_op * Fix casting issue
上级
28a6037b
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
141 addition
and
35 deletion
+141
-35
paddle/fluid/operators/save_combine_op.cc
paddle/fluid/operators/save_combine_op.cc
+26
-2
paddle/fluid/operators/save_load_combine_op_test.cc
paddle/fluid/operators/save_load_combine_op_test.cc
+115
-33
未找到文件。
paddle/fluid/operators/save_combine_op.cc
浏览文件 @
283c4dbe
...
...
@@ -18,6 +18,7 @@ limitations under the License. */
#include <numeric>
#include <sstream>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/data_type_transform.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
...
...
@@ -69,6 +70,7 @@ class SaveCombineOp : public framework::OperatorBase {
const
platform
::
Place
&
place
)
const
override
{
auto
filename
=
Attr
<
std
::
string
>
(
"file_path"
);
auto
overwrite
=
Attr
<
bool
>
(
"overwrite"
);
auto
save_as_fp16
=
Attr
<
bool
>
(
"save_as_fp16"
);
bool
is_present
=
FileExists
(
filename
);
if
(
is_present
&&
!
overwrite
)
{
...
...
@@ -100,8 +102,24 @@ class SaveCombineOp : public framework::OperatorBase {
inp_var_names
[
i
]);
auto
&
tensor
=
var
->
Get
<
framework
::
LoDTensor
>
();
// Serialize tensor
framework
::
SerializeToStream
(
fout
,
tensor
,
dev_ctx
);
// Serialize tensors one by one
// Check types to see if a fp16 transformation is required
auto
in_dtype
=
framework
::
ToDataType
(
tensor
.
type
());
auto
out_dtype
=
save_as_fp16
?
framework
::
proto
::
VarType
::
FP16
:
in_dtype
;
if
(
in_dtype
!=
out_dtype
)
{
auto
in_kernel_type
=
framework
::
OpKernelType
(
in_dtype
,
place
);
auto
out_kernel_type
=
framework
::
OpKernelType
(
out_dtype
,
place
);
framework
::
LoDTensor
out
;
// copy LoD info to the new tensor
out
.
set_lod
(
tensor
.
lod
());
framework
::
TransDataType
(
in_kernel_type
,
out_kernel_type
,
tensor
,
&
out
);
framework
::
SerializeToStream
(
fout
,
out
,
dev_ctx
);
}
else
{
framework
::
SerializeToStream
(
fout
,
tensor
,
dev_ctx
);
}
}
fout
.
close
();
}
...
...
@@ -125,6 +143,12 @@ to a file on disk.
"(boolean, default true)"
"Overwrite the output file if it exists."
)
.
SetDefault
(
true
);
AddAttr
<
bool
>
(
"save_as_fp16"
,
"(boolean, default false)"
"If true, the tensor will be converted to float16 data "
"type and then saved. Otherwise, the tensor will be "
"directly saved without data type conversion."
)
.
SetDefault
(
false
);
AddAttr
<
std
::
string
>
(
"file_path"
,
"(string)"
...
...
paddle/fluid/operators/save_load_combine_op_test.cc
浏览文件 @
283c4dbe
...
...
@@ -17,15 +17,17 @@ limitations under the License. */
#include <vector>
#include "gtest/gtest.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/platform/float16.h"
USE_NO_KERNEL_OP
(
save_combine
);
USE_NO_KERNEL_OP
(
load_combine
);
int
*
CreateForSaveCombineOp
(
int
x
,
int
y
,
const
std
::
vector
<
int
>&
lod_info
,
std
::
string
var_name
,
const
paddle
::
platform
::
CPUPlace
&
place
,
paddle
::
framework
::
Scope
*
scope
,
paddle
::
framework
::
LoD
*
expect_lod
)
{
template
<
typename
T
,
typename
U
>
T
*
CreateForSaveCombineOp
(
int
x
,
int
y
,
const
std
::
vector
<
int
>&
lod_info
,
std
::
string
var_name
,
const
paddle
::
platform
::
CPUPlace
&
place
,
paddle
::
framework
::
Scope
*
scope
,
paddle
::
framework
::
LoD
*
expect_lod
)
{
auto
var
=
scope
->
Var
(
var_name
);
auto
tensor
=
var
->
GetMutable
<
paddle
::
framework
::
LoDTensor
>
();
tensor
->
Resize
({
x
,
y
});
...
...
@@ -34,9 +36,10 @@ int* CreateForSaveCombineOp(int x, int y, const std::vector<int>& lod_info,
(
*
expect_lod
)[
0
].
push_back
(
lod_info
[
i
]);
}
tensor
->
set_lod
(
*
expect_lod
);
int
*
expect
=
tensor
->
mutable_data
<
int
>
(
place
);
T
*
expect
=
tensor
->
mutable_data
<
T
>
(
place
);
for
(
int64_t
i
=
0
;
i
<
tensor
->
numel
();
++
i
)
{
expect
[
i
]
=
static_cast
<
int
>
(
i
);
expect
[
i
]
=
static_cast
<
T
>
(
static_cast
<
U
>
(
i
));
// For FP16, we intend to do float(float16(i))
}
return
expect
;
}
...
...
@@ -48,18 +51,20 @@ paddle::framework::LoDTensor* GeneratePlaceholderBeforeLoad(
return
target
;
}
int
*
GetValuesAfterLoadCombineOp
(
paddle
::
framework
::
LoDTensor
*
target
,
const
paddle
::
framework
::
Scope
&
scope
,
paddle
::
framework
::
LoD
*
actual_lod
)
{
int
*
actual
=
target
->
data
<
int
>
();
template
<
typename
T
>
T
*
GetValuesAfterLoadCombineOp
(
paddle
::
framework
::
LoDTensor
*
target
,
const
paddle
::
framework
::
Scope
&
scope
,
paddle
::
framework
::
LoD
*
actual_lod
)
{
T
*
actual
=
target
->
data
<
T
>
();
*
actual_lod
=
target
->
lod
();
return
actual
;
}
void
CheckValues
(
int
*
expect
,
int
*
actual
,
paddle
::
framework
::
LoD
expect_lod
,
paddle
::
framework
::
LoD
actual_lod
,
const
int
&
numel
)
{
for
(
int64_t
i
=
0
;
i
<
numel
;
++
i
)
{
EXPECT_EQ
(
expect
[
i
],
actual
[
i
]);
template
<
typename
T
,
typename
U
>
void
CheckValues
(
T
*
expect
,
U
*
actual
,
const
paddle
::
framework
::
LoD
&
expect_lod
,
const
paddle
::
framework
::
LoD
&
actual_lod
,
const
int
&
numel
)
{
for
(
int
i
=
0
;
i
<
numel
;
++
i
)
{
EXPECT_EQ
(
expect
[
i
],
static_cast
<
T
>
(
actual
[
i
]));
}
EXPECT_EQ
(
expect_lod
.
size
(),
actual_lod
.
size
());
for
(
size_t
i
=
0
;
i
<
expect_lod
.
size
();
++
i
)
{
...
...
@@ -78,26 +83,26 @@ TEST(SaveLoadCombineOp, CPU) {
std
::
vector
<
int
>
lod1
=
{
0
,
1
,
2
,
3
,
10
};
int
numel1
=
100
;
paddle
::
framework
::
LoD
expect_lod1
;
int
*
expect1
=
CreateForSaveCombineOp
(
10
,
10
,
lod1
,
"test_var1"
,
place
,
&
scope
,
&
expect_lod1
);
int
*
expect1
=
CreateForSaveCombineOp
<
int
,
int
>
(
10
,
10
,
lod1
,
"test_var1"
,
place
,
&
scope
,
&
expect_lod1
);
std
::
vector
<
int
>
lod2
=
{
0
,
2
,
5
,
10
};
int
numel2
=
200
;
paddle
::
framework
::
LoD
expect_lod2
;
int
*
expect2
=
CreateForSaveCombineOp
(
10
,
20
,
lod2
,
"test_var2"
,
place
,
&
scope
,
&
expect_lod2
);
int
*
expect2
=
CreateForSaveCombineOp
<
int
,
int
>
(
10
,
20
,
lod2
,
"test_var2"
,
place
,
&
scope
,
&
expect_lod2
);
std
::
vector
<
int
>
lod3
=
{
0
,
2
,
3
,
20
};
int
numel3
=
4000
;
paddle
::
framework
::
LoD
expect_lod3
;
int
*
expect3
=
CreateForSaveCombineOp
(
20
,
200
,
lod3
,
"test_var3"
,
place
,
&
scope
,
&
expect_lod3
);
int
*
expect3
=
CreateForSaveCombineOp
<
int
,
int
>
(
20
,
200
,
lod3
,
"test_var3"
,
place
,
&
scope
,
&
expect_lod3
);
std
::
vector
<
int
>
lod4
=
{
0
,
1
,
20
};
int
numel4
=
1000
;
paddle
::
framework
::
LoD
expect_lod4
;
int
*
expect4
=
CreateForSaveCombineOp
(
20
,
50
,
lod4
,
"test_var4"
,
place
,
&
scope
,
&
expect_lod4
);
int
*
expect4
=
CreateForSaveCombineOp
<
int
,
int
>
(
20
,
50
,
lod4
,
"test_var4"
,
place
,
&
scope
,
&
expect_lod4
);
// Set attributes
std
::
string
filename
=
"check_tensor.ls"
;
...
...
@@ -123,15 +128,92 @@ TEST(SaveLoadCombineOp, CPU) {
load_combine_op
->
Run
(
scope
,
place
);
paddle
::
framework
::
LoD
actual_lod1
,
actual_lod2
,
actual_lod3
,
actual_lod4
;
int
*
actual1
=
GetValuesAfterLoadCombineOp
(
target1
,
scope
,
&
actual_lod1
);
int
*
actual2
=
GetValuesAfterLoadCombineOp
(
target2
,
scope
,
&
actual_lod2
);
int
*
actual3
=
GetValuesAfterLoadCombineOp
(
target3
,
scope
,
&
actual_lod3
);
int
*
actual4
=
GetValuesAfterLoadCombineOp
(
target4
,
scope
,
&
actual_lod4
);
CheckValues
(
expect1
,
actual1
,
expect_lod1
,
actual_lod1
,
numel1
);
CheckValues
(
expect2
,
actual2
,
expect_lod2
,
actual_lod2
,
numel2
);
CheckValues
(
expect3
,
actual3
,
expect_lod3
,
actual_lod3
,
numel3
);
CheckValues
(
expect4
,
actual4
,
expect_lod4
,
actual_lod4
,
numel4
);
int
*
actual1
=
GetValuesAfterLoadCombineOp
<
int
>
(
target1
,
scope
,
&
actual_lod1
);
int
*
actual2
=
GetValuesAfterLoadCombineOp
<
int
>
(
target2
,
scope
,
&
actual_lod2
);
int
*
actual3
=
GetValuesAfterLoadCombineOp
<
int
>
(
target3
,
scope
,
&
actual_lod3
);
int
*
actual4
=
GetValuesAfterLoadCombineOp
<
int
>
(
target4
,
scope
,
&
actual_lod4
);
CheckValues
<
int
,
int
>
(
expect1
,
actual1
,
expect_lod1
,
actual_lod1
,
numel1
);
CheckValues
<
int
,
int
>
(
expect2
,
actual2
,
expect_lod2
,
actual_lod2
,
numel2
);
CheckValues
<
int
,
int
>
(
expect3
,
actual3
,
expect_lod3
,
actual_lod3
,
numel3
);
CheckValues
<
int
,
int
>
(
expect4
,
actual4
,
expect_lod4
,
actual_lod4
,
numel4
);
}
// FP16 version of SaveLoadCombineOp Test
TEST
(
SaveLoadCombineFP16Op
,
CPU
)
{
paddle
::
framework
::
Scope
scope
;
paddle
::
platform
::
CPUPlace
place
;
std
::
vector
<
int
>
lod1
=
{
0
,
1
,
2
,
3
,
10
};
int
numel1
=
100
;
paddle
::
framework
::
LoD
expect_lod1
;
float
*
expect1
=
CreateForSaveCombineOp
<
float
,
paddle
::
platform
::
float16
>
(
10
,
10
,
lod1
,
"test_var1"
,
place
,
&
scope
,
&
expect_lod1
);
std
::
vector
<
int
>
lod2
=
{
0
,
2
,
5
,
10
};
int
numel2
=
200
;
paddle
::
framework
::
LoD
expect_lod2
;
float
*
expect2
=
CreateForSaveCombineOp
<
float
,
paddle
::
platform
::
float16
>
(
10
,
20
,
lod2
,
"test_var2"
,
place
,
&
scope
,
&
expect_lod2
);
std
::
vector
<
int
>
lod3
=
{
0
,
20
};
int
numel3
=
4000
;
paddle
::
framework
::
LoD
expect_lod3
;
float
*
expect3
=
CreateForSaveCombineOp
<
float
,
paddle
::
platform
::
float16
>
(
20
,
200
,
lod3
,
"test_var3"
,
place
,
&
scope
,
&
expect_lod3
);
std
::
vector
<
int
>
lod4
=
{
0
,
1
,
20
};
int
numel4
=
1000
;
paddle
::
framework
::
LoD
expect_lod4
;
float
*
expect4
=
CreateForSaveCombineOp
<
float
,
paddle
::
platform
::
float16
>
(
20
,
50
,
lod4
,
"test_var4"
,
place
,
&
scope
,
&
expect_lod4
);
// Set attributes
std
::
string
filename
=
"check_tensor_fp16.ls"
;
paddle
::
framework
::
AttributeMap
attrs
;
attrs
.
insert
({
"file_path"
,
std
::
string
(
filename
)});
attrs
.
insert
({
"save_as_fp16"
,
true
});
// Run the save_combine_op
auto
save_combine_op
=
paddle
::
framework
::
OpRegistry
::
CreateOp
(
"save_combine"
,
{{
"X"
,
{
"test_var1"
,
"test_var2"
,
"test_var3"
,
"test_var4"
}}},
{},
attrs
);
save_combine_op
->
Run
(
scope
,
place
);
// Set up output vars
auto
target1
=
GeneratePlaceholderBeforeLoad
(
"out_var1"
,
&
scope
);
auto
target2
=
GeneratePlaceholderBeforeLoad
(
"out_var2"
,
&
scope
);
auto
target3
=
GeneratePlaceholderBeforeLoad
(
"out_var3"
,
&
scope
);
auto
target4
=
GeneratePlaceholderBeforeLoad
(
"out_var4"
,
&
scope
);
// Run the load_combine_op
auto
load_combine_op
=
paddle
::
framework
::
OpRegistry
::
CreateOp
(
"load_combine"
,
{},
{{
"Out"
,
{
"out_var1"
,
"out_var2"
,
"out_var3"
,
"out_var4"
}}},
attrs
);
load_combine_op
->
Run
(
scope
,
place
);
paddle
::
framework
::
LoD
actual_lod1
,
actual_lod2
,
actual_lod3
,
actual_lod4
;
paddle
::
platform
::
float16
*
actual1
=
GetValuesAfterLoadCombineOp
<
paddle
::
platform
::
float16
>
(
target1
,
scope
,
&
actual_lod1
);
paddle
::
platform
::
float16
*
actual2
=
GetValuesAfterLoadCombineOp
<
paddle
::
platform
::
float16
>
(
target2
,
scope
,
&
actual_lod2
);
paddle
::
platform
::
float16
*
actual3
=
GetValuesAfterLoadCombineOp
<
paddle
::
platform
::
float16
>
(
target3
,
scope
,
&
actual_lod3
);
paddle
::
platform
::
float16
*
actual4
=
GetValuesAfterLoadCombineOp
<
paddle
::
platform
::
float16
>
(
target4
,
scope
,
&
actual_lod4
);
CheckValues
<
float
,
paddle
::
platform
::
float16
>
(
expect1
,
actual1
,
expect_lod1
,
actual_lod1
,
numel1
);
CheckValues
<
float
,
paddle
::
platform
::
float16
>
(
expect2
,
actual2
,
expect_lod2
,
actual_lod2
,
numel2
);
CheckValues
<
float
,
paddle
::
platform
::
float16
>
(
expect3
,
actual3
,
expect_lod3
,
actual_lod3
,
numel3
);
CheckValues
<
float
,
paddle
::
platform
::
float16
>
(
expect4
,
actual4
,
expect_lod4
,
actual_lod4
,
numel4
);
}
// Test with original SaveLoadTest
...
...
@@ -141,7 +223,7 @@ TEST(SaveLoadTestWithCombineOp, CPU) {
auto
var
=
scope
.
Var
(
"test_var"
);
auto
tensor
=
var
->
GetMutable
<
paddle
::
framework
::
LoDTensor
>
();
tensor
->
Resize
({
3
,
1
0
});
tensor
->
Resize
({
3
,
400
0
});
paddle
::
framework
::
LoD
expect_lod
;
expect_lod
.
resize
(
1
);
expect_lod
[
0
].
push_back
(
0
);
...
...
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