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e67325cd
编写于
3月 14, 2018
作者:
Y
Yang Yang
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doc/design/parallel_executor.md
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doc/design/parallel_executor.md
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@@ -30,23 +30,45 @@ operator run on each GPU, it will automatically sync with different streams when
...
@@ -30,23 +30,45 @@ operator run on each GPU, it will automatically sync with different streams when
// if op's input is params' grad:
// if op's input is params' grad:
// sync with allreduce stream
// sync with allreduce stream
// e.g. sgd should wait for allreduce to be finished
// e.g. sgd should wait for allreduce to be finished
SyncMultipleStreams
(
op
);
CallBack
->
BeforeOp
(
op
);
op
->
Run
(
*
local_scope
,
place_
);
op
->
Run
(
*
local_scope
,
place_
);
// if op's output is params' grad:
// if op's output is params' grad:
// sync with computation stream
// sync with computation stream
// e.g. allreduce shoudl wait for fc_grad to be finished.
// e.g. allreduce shoudl wait for fc_grad to be finished.
SyncMultipleStreams
(
op
);
CallBack
->
AfterOp
(
op
);
```
```
And the
`Callback`
object can be implemented as the following
## API
```
c++
struct
AllReduceCallBack
{
void
BeforeOp
(
framework
::
OperatorBase
*
op
);
void
AfterOp
(
framework
::
OperatorBase
*
op
);
std
::
unordered_set
<
std
::
string
>
reduced_param_grad_names
;
std
::
unordered_set
<
std
::
string
>
param_grad_names_
;
platform
::
DeviceContext
*
computation_dev_ctx
;
// computation device context
platform
::
DeviceContext
*
communication_dev_ctx
;
// communication device context
The
`ParallelExecutor.run`
has similar interface as
`Executor.run`
. Besides
framework
::
Scope
*
scope
;
1.
Scope: we don't expose
`scope`
in
`ParallelExecutor.run`
since
`ParallelExecutor`
has its
platform
::
NCCL
::
Communicator
*
nccl_com
;
own scope to maintain NCCL.
};
1.
Feed: we don't expose
`feed`
in the API either, because the whole point of implementing
parallel_executor is the speed. The input for NN should be implemented in an reader OP.
AllReduceCallBack
::
BeforeOp
(
framework
::
OperatorBase
*
op
)
{
1.
Fetch: we return the fetched value on all GPUs as a list. (e.g.
`exe.run(..., fetch=loss)`
if
(
op
->
Input
()
in
reduced_param_grad_names
)
{
with return
`[loss_on_gpu0, loss_on_gpu1]`
)
communication_dev_ctx
->
Wait
();
reduced_param_grad_names
.
erase
(
op
->
Input
())
}
}
AllReduceCallBack
::
AfterOp
(
framework
::
OperatorBase
*
op
)
{
if
(
op
->
Output
()
in
param_grad_names
)
{
computation_dev_ctx
->
Wait
();
reduced_param_grad_names
.
insert
(
op
->
Output
());
ncclAllreduce
(
scope
,
op
->
Output
(),
communication_dev_ctx
);
}
}
```
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