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68adb954
编写于
7月 15, 2017
作者:
F
fengjiayi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
enbale tensor memory test
上级
9b8451cc
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
92 addition
and
78 deletion
+92
-78
paddle/framework/CMakeLists.txt
paddle/framework/CMakeLists.txt
+1
-1
paddle/framework/tensor.h
paddle/framework/tensor.h
+29
-21
paddle/framework/tensor_test.cc
paddle/framework/tensor_test.cc
+62
-56
未找到文件。
paddle/framework/CMakeLists.txt
浏览文件 @
68adb954
...
...
@@ -2,7 +2,7 @@
cc_library
(
ddim SRCS ddim.cc
)
cc_test
(
ddim_test SRCS ddim_test.cc DEPS ddim
)
nv_test
(
dim_test SRCS dim_test.cu DEPS ddim
)
cc_test
(
tensor_test SRCS tensor_test.cc DEPS ddim
)
cc_test
(
tensor_test SRCS tensor_test.cc DEPS ddim
paddle_memory
)
cc_test
(
variable_test SRCS variable_test.cc
)
cc_test
(
scope_test SRCS scope_test.cc
)
cc_test
(
enforce_test SRCS enforce_test.cc
)
...
...
paddle/framework/tensor.h
浏览文件 @
68adb954
...
...
@@ -29,8 +29,6 @@ class Tensor {
public:
Tensor
()
:
numel_
(
0
),
offset_
(
0
)
{}
Tensor
&
operator
=
(
const
Tensor
&
src
)
=
delete
;
template
<
typename
T
>
const
T
*
data
()
const
{
CheckDims
<
T
>
();
...
...
@@ -39,13 +37,13 @@ class Tensor {
}
template
<
typename
T
>
T
*
mutable_data
(
DDim
dims
,
p
addle
::
p
latform
::
Place
place
)
{
T
*
mutable_data
(
DDim
dims
,
platform
::
Place
place
)
{
set_dims
(
dims
);
return
mutable_data
<
T
>
(
place
);
}
template
<
typename
T
>
T
*
mutable_data
(
p
addle
::
p
latform
::
Place
place
)
{
T
*
mutable_data
(
platform
::
Place
place
)
{
PADDLE_ENFORCE
(
numel_
>
0
,
"Tensor::numel_ must be larger than zero to call "
"Tensor::mutable_data. Call Tensor::set_dim first."
);
...
...
@@ -53,7 +51,18 @@ class Tensor {
!
(
holder_
->
place
()
==
place
)
/* some versions of boost::variant don't have operator!= */
||
holder_
->
size
()
<
numel_
*
sizeof
(
T
)
+
offset_
)
{
holder_
.
reset
(
new
PlaceholderImpl
<
T
>
(
place
,
numel_
*
sizeof
(
T
)));
switch
(
place
.
which
())
{
case
0
:
holder_
.
reset
(
new
PlaceholderImpl
<
T
,
platform
::
GPUPlace
>
(
boost
::
get
<
platform
::
GPUPlace
>
(
place
),
numel_
*
sizeof
(
T
)));
break
;
case
1
:
holder_
.
reset
(
new
PlaceholderImpl
<
T
,
platform
::
CPUPlace
>
(
boost
::
get
<
platform
::
CPUPlace
>
(
place
),
numel_
*
sizeof
(
T
)));
break
;
}
offset_
=
0
;
}
return
reinterpret_cast
<
T
*>
(
reinterpret_cast
<
uintptr_t
>
(
holder_
->
ptr
())
+
...
...
@@ -69,7 +78,7 @@ class Tensor {
}
template
<
typename
T
>
void
CopyFrom
(
const
Tensor
&
src
,
p
addle
::
p
latform
::
Place
dst_place
)
{
void
CopyFrom
(
const
Tensor
&
src
,
platform
::
Place
dst_place
)
{
PADDLE_ENFORCE
(
platform
::
is_cpu_place
(
src
.
holder_
->
place
())
&&
platform
::
is_cpu_place
(
dst_place
),
"Tensor::CopyFrom only support CPU now."
);
...
...
@@ -119,38 +128,37 @@ class Tensor {
struct
Placeholder
{
virtual
~
Placeholder
()
{}
virtual
void
*
ptr
()
const
=
0
;
virtual
p
addle
::
p
latform
::
Place
place
()
const
=
0
;
virtual
platform
::
Place
place
()
const
=
0
;
virtual
size_t
size
()
const
=
0
;
};
template
<
typename
T
>
template
<
typename
T
,
typename
PlaceType
>
struct
PlaceholderImpl
:
public
Placeholder
{
private:
template
<
typename
PType
>
class
Deleter
{
public:
Deleter
(
platform
::
Place
place
)
:
place_
(
place
)
{}
void
operator
()(
T
*
ptr
)
{
paddle
::
memory
::
Free
(
place_
,
static_cast
<
void
*>
(
ptr
));
}
Deleter
(
PType
place
)
:
place_
(
place
)
{}
void
operator
()(
T
*
ptr
)
{
memory
::
Free
(
place_
,
static_cast
<
void
*>
(
ptr
));
}
private:
paddle
::
platform
::
Plac
e
place_
;
PTyp
e
place_
;
};
public:
PlaceholderImpl
(
paddle
::
platform
::
Plac
e
place
,
size_t
size
)
:
ptr_
(
static_cast
<
T
*>
(
paddle
::
memory
::
Alloc
(
place
,
size
)),
Deleter
(
place
)),
PlaceholderImpl
(
PlaceTyp
e
place
,
size_t
size
)
:
ptr_
(
static_cast
<
T
*>
(
memory
::
Alloc
(
place
,
size
)),
Deleter
<
PlaceType
>
(
place
)),
place_
(
place
),
size_
(
size
)
{}
virtual
void
*
ptr
()
const
{
return
static_cast
<
void
*>
(
ptr_
.
get
());
}
virtual
size_t
size
()
const
{
return
size_
;
}
virtual
p
addle
::
p
latform
::
Place
place
()
const
{
return
place_
;
}
virtual
platform
::
Place
place
()
const
{
return
place_
;
}
std
::
unique_ptr
<
T
,
Deleter
>
ptr_
;
p
addle
::
p
latform
::
Place
place_
;
// record the place of ptr_.
size_t
size_
;
// size of the memory block.
std
::
unique_ptr
<
T
,
Deleter
<
PlaceType
>
>
ptr_
;
platform
::
Place
place_
;
// record the place of ptr_.
size_t
size_
;
// size of the memory block.
};
template
<
typename
T
>
...
...
@@ -166,7 +174,7 @@ class Tensor {
DDim
dims_
;
size_t
numel_
;
// cache of `product(dims_)`
size_t
offset_
;
// marks the begin of tensor data area.
};
};
// namespace framework
}
// namespace framework
}
// namespace paddle
paddle/framework/tensor_test.cc
浏览文件 @
68adb954
...
...
@@ -47,7 +47,7 @@ TEST(Tensor, DataAssert) {
/* following tests are not available at present
because Memory::Alloc() and Memory::Free() have not been ready.
*/
TEST
(
Tensor
,
MutableData
)
{
using
namespace
paddle
::
framework
;
using
namespace
paddle
::
platform
;
...
...
@@ -72,28 +72,29 @@ TEST(Tensor, MutableData) {
p2
=
src_tensor
.
mutable_data
<
float
>
(
make_ddim
({
2
,
2
}),
CPUPlace
());
EXPECT_EQ
(
p1
,
p2
);
}
{
Tensor src_tensor;
float* p1 = nullptr;
float* p2 = nullptr;
// initialization
p1 = src_tensor.mutable_data<float>(make_ddim({1, 2, 3}), GPUPlace());
EXPECT_NE(p1, nullptr);
// set src_tensor a new dim with large size
// momery is supposed to be re-allocated
p2 = src_tensor.mutable_data<float>(make_ddim({3, 4}), GPUPlace());
EXPECT_NE(p2, nullptr);
EXPECT_NE(p1, p2);
// set src_tensor a new dim with same size
// momery block is supposed to be unchanged
p1 = src_tensor.mutable_data<float>(make_ddim({2, 2, 3}), GPUPlace());
EXPECT_EQ(p1, p2);
// set src_tensor a new dim with smaller size
// momery block is supposed to be unchanged
p2 = src_tensor.mutable_data<float>(make_ddim({2, 2}), GPUPlace());
EXPECT_EQ(p1, p2);
}
/*
{
Tensor src_tensor;
float* p1 = nullptr;
float* p2 = nullptr;
// initialization
p1 = src_tensor.mutable_data<float>(make_ddim({1, 2, 3}), GPUPlace());
EXPECT_NE(p1, nullptr);
// set src_tensor a new dim with large size
// momery is supposed to be re-allocated
p2 = src_tensor.mutable_data<float>(make_ddim({3, 4}), GPUPlace());
EXPECT_NE(p2, nullptr);
EXPECT_NE(p1, p2);
// set src_tensor a new dim with same size
// momery block is supposed to be unchanged
p1 = src_tensor.mutable_data<float>(make_ddim({2, 2, 3}), GPUPlace());
EXPECT_EQ(p1, p2);
// set src_tensor a new dim with smaller size
// momery block is supposed to be unchanged
p2 = src_tensor.mutable_data<float>(make_ddim({2, 2}), GPUPlace());
EXPECT_EQ(p1, p2);
}
*/
}
TEST
(
Tensor
,
ShareDataFrom
)
{
...
...
@@ -108,9 +109,11 @@ TEST(Tensor, ShareDataFrom) {
dst_tensor
.
ShareDataFrom
<
float
>
(
src_tensor
);
}
catch
(
EnforceNotMet
err
)
{
caught
=
true
;
std::string msg = "Tenosr holds no memory. Call Tensor::mutable_data
first."; const char* what = err.what(); for (size_t i = 0; i < msg.length();
++i) { ASSERT_EQ(what[i], msg[i]);
std
::
string
msg
=
"Tenosr holds no memory. Call Tensor::mutable_data first."
;
const
char
*
what
=
err
.
what
();
for
(
size_t
i
=
0
;
i
<
msg
.
length
();
++
i
)
{
ASSERT_EQ
(
what
[
i
],
msg
[
i
]);
}
}
ASSERT_TRUE
(
caught
);
...
...
@@ -120,13 +123,15 @@ first."; const char* what = err.what(); for (size_t i = 0; i < msg.length();
ASSERT_EQ
(
src_tensor
.
data
<
int
>
(),
dst_tensor
.
data
<
int
>
());
}
{
Tensor src_tensor;
Tensor dst_tensor;
src_tensor.mutable_data<int>(make_ddim({2, 3, 4}), GPUPlace());
dst_tensor.ShareDataFrom<int>(src_tensor);
ASSERT_EQ(src_tensor.data<int>(), dst_tensor.data<int>());
}
/*
{
Tensor src_tensor;
Tensor dst_tensor;
src_tensor.mutable_data<int>(make_ddim({2, 3, 4}), GPUPlace());
dst_tensor.ShareDataFrom<int>(src_tensor);
ASSERT_EQ(src_tensor.data<int>(), dst_tensor.data<int>());
}
*/
}
TEST
(
Tensor
,
Slice
)
{
...
...
@@ -155,27 +160,29 @@ TEST(Tensor, Slice) {
EXPECT_EQ
(
src_data_address
+
3
*
4
*
1
*
sizeof
(
int
),
slice_data_address
);
}
{
Tensor src_tensor;
src_tensor.mutable_data<double>(make_ddim({6, 9}), GPUPlace());
Tensor slice_tensor = src_tensor.Slice<double>(2, 6);
DDim slice_dims = slice_tensor.dims();
ASSERT_EQ(arity(slice_dims), 2);
EXPECT_EQ(slice_dims[0], 4);
EXPECT_EQ(slice_dims[1], 9);
uintptr_t src_data_address =
reinterpret_cast<uintptr_t>(src_tensor.data<double>());
uintptr_t src_mutable_data_address = reinterpret_cast<uintptr_t>(
src_tensor.mutable_data<double>(src_tensor.dims(), GPUPlace()));
uintptr_t slice_data_address =
reinterpret_cast<uintptr_t>(slice_tensor.data<double>());
uintptr_t slice_mutable_data_address = reinterpret_cast<uintptr_t>(
slice_tensor.mutable_data<double>(slice_tensor.dims(), GPUPlace()));
EXPECT_EQ(src_data_address, src_mutable_data_address);
EXPECT_EQ(slice_data_address, slice_mutable_data_address);
EXPECT_EQ(src_data_address + 9 * 2 * sizeof(double), slice_data_address);
}
/*
{
Tensor src_tensor;
src_tensor.mutable_data<double>(make_ddim({6, 9}), GPUPlace());
Tensor slice_tensor = src_tensor.Slice<double>(2, 6);
DDim slice_dims = slice_tensor.dims();
ASSERT_EQ(arity(slice_dims), 2);
EXPECT_EQ(slice_dims[0], 4);
EXPECT_EQ(slice_dims[1], 9);
uintptr_t src_data_address =
reinterpret_cast<uintptr_t>(src_tensor.data<double>());
uintptr_t src_mutable_data_address = reinterpret_cast<uintptr_t>(
src_tensor.mutable_data<double>(src_tensor.dims(), GPUPlace()));
uintptr_t slice_data_address =
reinterpret_cast<uintptr_t>(slice_tensor.data<double>());
uintptr_t slice_mutable_data_address = reinterpret_cast<uintptr_t>(
slice_tensor.mutable_data<double>(slice_tensor.dims(), GPUPlace()));
EXPECT_EQ(src_data_address, src_mutable_data_address);
EXPECT_EQ(slice_data_address, slice_mutable_data_address);
EXPECT_EQ(src_data_address + 9 * 2 * sizeof(double), slice_data_address);
}
*/
}
TEST
(
Tensor
,
CopyFrom
)
{
...
...
@@ -202,5 +209,4 @@ TEST(Tensor, CopyFrom) {
for
(
size_t
i
=
0
;
i
<
3
;
++
i
)
{
EXPECT_EQ
(
dst_ptr
[
i
],
slice_ptr
[
i
]);
}
}
*/
\ No newline at end of file
}
\ No newline at end of file
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