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submodule
opencv
Commits
c08a0ede
Commit
c08a0ede
authored
Jan 08, 2018
by
Alexander Alekhin
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Merge pull request #10545 from alalek:dnn_blob_manager_runtime_option
parents
ee35263e
6674a024
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2 changed files
with
15 additions
and
11 deletions
+15
-11
CMakeLists.txt
modules/dnn/CMakeLists.txt
+0
-5
dnn.cpp
modules/dnn/src/dnn.cpp
+15
-6
No files found.
modules/dnn/CMakeLists.txt
View file @
c08a0ede
...
@@ -97,8 +97,3 @@ if(BUILD_PERF_TESTS)
...
@@ -97,8 +97,3 @@ if(BUILD_PERF_TESTS)
endif
()
endif
()
endif
()
endif
()
endif
()
endif
()
ocv_option
(
${
the_module
}
_REUSE_MEMORY
"Enable reusing strategy of memory management"
ON
)
if
(
${
the_module
}
_REUSE_MEMORY
)
add_definitions
(
-DREUSE_DNN_MEMORY=1
)
endif
()
modules/dnn/src/dnn.cpp
View file @
c08a0ede
...
@@ -51,10 +51,15 @@
...
@@ -51,10 +51,15 @@
#include <opencv2/dnn/shape_utils.hpp>
#include <opencv2/dnn/shape_utils.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/core/utils/configuration.private.hpp>
namespace
cv
{
namespace
cv
{
namespace
dnn
{
namespace
dnn
{
CV__DNN_EXPERIMENTAL_NS_BEGIN
CV__DNN_EXPERIMENTAL_NS_BEGIN
// this option is usefull to run valgrind memory errors detection
static
bool
DNN_DISABLE_MEMORY_OPTIMIZATIONS
=
utils
::
getConfigurationParameterBool
(
"OPENCV_DNN_DISABLE_MEMORY_OPTIMIZATIONS"
,
false
);
using
std
::
vector
;
using
std
::
vector
;
using
std
::
map
;
using
std
::
map
;
using
std
::
make_pair
;
using
std
::
make_pair
;
...
@@ -369,7 +374,8 @@ public:
...
@@ -369,7 +374,8 @@ public:
void
reuseOrCreate
(
const
MatShape
&
shape
,
const
LayerPin
&
lp
,
Mat
&
dst
)
void
reuseOrCreate
(
const
MatShape
&
shape
,
const
LayerPin
&
lp
,
Mat
&
dst
)
{
{
#ifdef REUSE_DNN_MEMORY
if
(
!
DNN_DISABLE_MEMORY_OPTIMIZATIONS
)
{
Mat
bestBlob
;
Mat
bestBlob
;
LayerPin
bestBlobPin
;
LayerPin
bestBlobPin
;
...
@@ -400,9 +406,10 @@ public:
...
@@ -400,9 +406,10 @@ public:
{
{
reuse
(
bestBlobPin
,
lp
);
reuse
(
bestBlobPin
,
lp
);
dst
=
bestBlob
.
reshape
(
1
,
1
).
colRange
(
0
,
targetTotal
).
reshape
(
1
,
shape
);
dst
=
bestBlob
.
reshape
(
1
,
1
).
colRange
(
0
,
targetTotal
).
reshape
(
1
,
shape
);
return
;
}
}
else
}
#endif // REUSE_DNN_MEMORY
{
{
// if dst already has been allocated with total(shape) elements,
// if dst already has been allocated with total(shape) elements,
// it won't be recrreated and pointer of dst.data remains the same.
// it won't be recrreated and pointer of dst.data remains the same.
...
@@ -413,7 +420,8 @@ public:
...
@@ -413,7 +420,8 @@ public:
void
reuseOrCreate
(
const
MatShape
&
shape
,
const
LayerPin
&
lp
,
UMat
&
umat_dst
)
void
reuseOrCreate
(
const
MatShape
&
shape
,
const
LayerPin
&
lp
,
UMat
&
umat_dst
)
{
{
#ifdef REUSE_DNN_MEMORY
if
(
!
DNN_DISABLE_MEMORY_OPTIMIZATIONS
)
{
UMat
bestBlob
;
UMat
bestBlob
;
LayerPin
bestBlobPin
;
LayerPin
bestBlobPin
;
...
@@ -444,9 +452,10 @@ public:
...
@@ -444,9 +452,10 @@ public:
{
{
reuse
(
bestBlobPin
,
lp
);
reuse
(
bestBlobPin
,
lp
);
umat_dst
.
create
(
shape
,
CV_32F
);
umat_dst
.
create
(
shape
,
CV_32F
);
return
;
}
}
else
}
#endif // REUSE_DNN_MEMORY
{
{
// if dst already has been allocated with total(shape) elements,
// if dst already has been allocated with total(shape) elements,
// it won't be recrreated and pointer of dst.data remains the same.
// it won't be recrreated and pointer of dst.data remains the same.
...
...
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