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体验新版 GitCode,发现更多精彩内容 >>
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a0d80754
编写于
9月 17, 2019
作者:
H
Huihuang Zheng
提交者:
GitHub
9月 17, 2019
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电子邮件补丁
差异文件
Add comments for CUDA Device Context Allocator related stuff (#19809)
上级
cc311bdf
变更
3
隐藏空白更改
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并排
Showing
3 changed file
with
19 addition
and
0 deletion
+19
-0
paddle/fluid/memory/allocation/cuda_device_context_allocation.h
.../fluid/memory/allocation/cuda_device_context_allocation.h
+6
-0
paddle/fluid/memory/allocation/cuda_device_context_allocator.h
...e/fluid/memory/allocation/cuda_device_context_allocator.h
+6
-0
paddle/fluid/memory/allocation/cuda_device_context_allocator_pool.h
...id/memory/allocation/cuda_device_context_allocator_pool.h
+7
-0
未找到文件。
paddle/fluid/memory/allocation/cuda_device_context_allocation.h
浏览文件 @
a0d80754
...
...
@@ -20,6 +20,12 @@ namespace paddle {
namespace
memory
{
namespace
allocation
{
/**
* CUDADeviceContextAllocation is a wrapper of the underbeneath allocation.
* CUDADeviceContextAllocation adds a CUDA stream callback for the underbeneath
* allocation so that CUDADeviceContextAllocation can be used in a CUDA stream
* which deletes allocation in the callback.
*/
class
CUDADeviceContextAllocation
:
public
Allocation
{
public:
explicit
CUDADeviceContextAllocation
(
AllocationPtr
allocation
);
...
...
paddle/fluid/memory/allocation/cuda_device_context_allocator.h
浏览文件 @
a0d80754
...
...
@@ -24,6 +24,12 @@ namespace paddle {
namespace
memory
{
namespace
allocation
{
/**
* CUDADeviceContextAllocator will allocate a CUDADeviceContextAllocation
* after waiting for a self-created event on the default stream. It does so to
* let the non-default stream be able to allocate GPU memory which will be
* released by stream callback
*/
class
CUDADeviceContextAllocator
:
public
Allocator
{
public:
explicit
CUDADeviceContextAllocator
(
platform
::
CUDAPlace
place
,
...
...
paddle/fluid/memory/allocation/cuda_device_context_allocator_pool.h
浏览文件 @
a0d80754
...
...
@@ -24,6 +24,13 @@ namespace paddle {
namespace
memory
{
namespace
allocation
{
/**
* CUDADeviceContextAllocatorPool is a singletion stores mapping from
* CUDAPlace(s) to std::shared_ptr<CUDADeviceContextAllocator>. When a
* CUDADeviceContext's compute stream isn't default stream, it can call this
* class to allocate GPU memory which will be released by a callback after
* stream execution.
*/
class
CUDADeviceContextAllocatorPool
{
public:
static
CUDADeviceContextAllocatorPool
&
Instance
();
...
...
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