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体验新版 GitCode,发现更多精彩内容 >>
提交
c54f14d8
编写于
7月 27, 2017
作者:
G
gangliao
提交者:
GitHub
7月 27, 2017
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差异文件
Merge pull request #3095 from gangliao/comment_mem
ENH: Add comments for memory and memcpy
上级
703b62e6
201e7157
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
63 addition
and
3 deletion
+63
-3
paddle/memory/memcpy.h
paddle/memory/memcpy.h
+26
-0
paddle/memory/memory.h
paddle/memory/memory.h
+37
-3
未找到文件。
paddle/memory/memcpy.h
浏览文件 @
c54f14d8
...
...
@@ -20,13 +20,39 @@ limitations under the License. */
namespace
paddle
{
namespace
memory
{
/**
* \brief Copy memory from one place to another place.
*
* \param[in] DstPlace Destination allocation place (CPU).
* \param[in] dst Destination memory address.
* \param[in] SrcPlace Source allocation place (CPU).
* \param[in] src Source memory address.
* \param[in] num memory size in bytes to copy.
*
*/
template
<
typename
DstPlace
,
typename
SrcPlace
>
void
Copy
(
DstPlace
,
void
*
dst
,
SrcPlace
,
const
void
*
src
,
size_t
num
);
#ifndef PADDLE_ONLY_CPU
/**
* \brief Copy memory from one place to another place.
*
* \param[in] DstPlace Destination allocation place (CPU or GPU).
* \param[in] dst Destination memory address.
* \param[in] SrcPlace Source allocation place (CPU or GPU).
* \param[in] src Source memory address.
* \param[in] num memory size in bytes to copy.
* \param[in] stream CUDA stream.
*
* \note For GPU memory copy, CUDA stream need to be specified
* for asynchronously memory copy.
*
*/
template
<
typename
DstPlace
,
typename
SrcPlace
>
void
Copy
(
DstPlace
,
void
*
dst
,
SrcPlace
,
const
void
*
src
,
size_t
num
,
cudaStream_t
stream
);
#endif // PADDLE_ONLY_CPU
}
// namespace memory
...
...
paddle/memory/memory.h
浏览文件 @
c54f14d8
...
...
@@ -20,15 +20,49 @@ limitations under the License. */
namespace
paddle
{
namespace
memory
{
/**
* \brief Allocate memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] size Allocation size.
*
* \return Allocated memory block address.
*
* \note If return nullptr, it indicates memory allocation failed
* because insufficient memory in current system. When Alloc
* function is invoked, you must check the returned memory
* address is valid or not.
*/
template
<
typename
Place
>
void
*
Alloc
(
Place
,
size_t
);
void
*
Alloc
(
Place
place
,
size_t
size
);
/**
* \brief Free memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] ptr Memory block address to free.
*
*/
template
<
typename
Place
>
void
Free
(
Place
,
void
*
);
void
Free
(
Place
place
,
void
*
ptr
);
/**
* \brief Total size of used memory in one place.
*
* \param[in] place Allocation place (CPU or GPU).
*
*/
template
<
typename
Place
>
size_t
Used
(
Place
);
size_t
Used
(
Place
place
);
/**
* \brief Free memory block in one place.
*
* \note In some cases, custom deleter is used to
* deallocate the memory automatically for
* std::unique_ptr<T> in tensor.h.
*
*/
template
<
typename
T
,
typename
Place
>
class
PODDeleter
{
static_assert
(
std
::
is_pod
<
T
>::
value
,
"T must be POD"
);
...
...
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