未验证 提交 9b3f48d7 编写于 作者: Y Yu Yang 提交者: GitHub

Merge pull request #11616 from chengduoZH/fix_parallel_exe

Enhance Parallel Executor stable
......@@ -73,6 +73,9 @@ void BroadcastOpHandle::RunImpl() {
int root_id = boost::get<platform::CUDAPlace>(in_tensor.place()).device;
std::vector<std::function<void()>> broadcast_calls;
int type = platform::ToNCCLDataType(in_tensor.type());
size_t numel = static_cast<size_t>(in_tensor.numel());
for (auto out_var_handle : out_var_handles) {
Variable *out_var = var_scopes.at(out_var_handle->scope_idx_)
->FindVar(out_var_handle->name_);
......@@ -87,13 +90,11 @@ void BroadcastOpHandle::RunImpl() {
send_recv_buffer = const_cast<void *>(in_tensor.data<void>());
out_handle = out_var_handle;
} else {
send_recv_buffer =
VariableVisitor::GetMutableTensor(out_var).mutable_data(
out_var_handle->place_);
send_recv_buffer = VariableVisitor::GetMutableTensor(out_var)
.Resize(in_tensor.dims())
.mutable_data(out_var_handle->place_);
}
int type = platform::ToNCCLDataType(in_tensor.type());
size_t numel = static_cast<size_t>(in_tensor.numel());
broadcast_calls.emplace_back(
[send_recv_buffer, numel, type, root_id, &nccl_ctx] {
PADDLE_ENFORCE(platform::dynload::ncclBcast(
......@@ -102,23 +103,50 @@ void BroadcastOpHandle::RunImpl() {
});
}
this->RunAndRecordEvent([&] {
{
platform::NCCLGroupGuard guard;
for (auto &call : broadcast_calls) {
call();
// FIXME(zcd): a temporary fix for some language model that has sparse
// parameter.
bool use_mutex = true;
if (in_var->IsType<paddle::framework::SelectedRows>()) {
use_mutex = false;
}
if (use_mutex) {
this->RunAndRecordEvent([&] {
{
platform::NCCLGroupGuard guard;
for (auto &call : broadcast_calls) {
call();
}
}
}
if (!out_handle->IsTheSameVar(*in_var_handle)) {
auto out_var = var_scopes.at(in_var_handle->scope_idx_)
->FindVar(out_var_handles[0]->name_);
paddle::framework::TensorCopy(
in_tensor, in_var_handle->place_,
*(dev_ctxes_.at(in_var_handle->place_)),
&VariableVisitor::GetMutableTensor(out_var));
}
});
if (!out_handle->IsTheSameVar(*in_var_handle)) {
auto out_var = var_scopes.at(in_var_handle->scope_idx_)
->FindVar(out_var_handles[0]->name_);
paddle::framework::TensorCopy(
in_tensor, in_var_handle->place_,
*(dev_ctxes_.at(in_var_handle->place_)),
&VariableVisitor::GetMutableTensor(out_var));
}
});
} else {
this->RunAndRecordEventNoMutex([&] {
{
platform::NCCLGroupGuard guard;
for (auto &call : broadcast_calls) {
call();
}
}
if (!out_handle->IsTheSameVar(*in_var_handle)) {
auto out_var = var_scopes.at(in_var_handle->scope_idx_)
->FindVar(out_var_handles[0]->name_);
paddle::framework::TensorCopy(
in_tensor, in_var_handle->place_,
*(dev_ctxes_.at(in_var_handle->place_)),
&VariableVisitor::GetMutableTensor(out_var));
}
});
}
#else
PADDLE_THROW("CUDA is not enabled.");
#endif
......
......@@ -351,7 +351,7 @@ void MultiDevSSAGraphBuilder::InsertAllReduceOp(SSAGraph *result,
auto &prev_grad = vars.back();
op_handle->AddInput(prev_grad.get());
auto var = new VarHandle(vars.size() - 1, i, og, p);
auto var = new VarHandle(vars.size(), i, og, p);
vars.emplace_back(var);
op_handle->AddOutput(var);
}
......@@ -447,8 +447,7 @@ VarHandle *MultiDevSSAGraphBuilder::CreateReduceOp(SSAGraph *result,
op_handle->AddInput(prev_grad.get());
}
auto &vars = result->vars_[dst_dev_id][og];
auto var =
new VarHandle(vars.size() - 1, dst_dev_id, og, places_[dst_dev_id]);
auto var = new VarHandle(vars.size(), dst_dev_id, og, places_[dst_dev_id]);
vars.emplace_back(var);
op_handle->AddOutput(var);
return var;
......
......@@ -139,6 +139,29 @@ void OpHandleBase::RunAndRecordEvent(const std::function<void()> &callback) {
#endif
}
void OpHandleBase::RunAndRecordEventNoMutex(
const std::function<void()> &callback) {
#ifdef PADDLE_WITH_CUDA
if (!events_.empty()) { // Use event
std::function<void()> method = callback;
for (auto &p : dev_ctxes_) {
method = [method, p, this]() {
static_cast<platform::CUDADeviceContext *>(p.second)
->RecordEventNoMutex(
events_.at(boost::get<platform::CUDAPlace>(p.first).device),
method);
};
}
method();
} else {
#endif
callback();
#ifdef PADDLE_WITH_CUDA
}
#endif
}
void OpHandleBase::RunAndRecordEvent(platform::Place p,
const std::function<void()> &callback) {
#ifdef PADDLE_WITH_CUDA
......
......@@ -85,6 +85,10 @@ class OpHandleBase {
protected:
void RunAndRecordEvent(const std::function<void()> &callback);
// FIXME(zcd): A temporary fix for some language model that has sparse
// parameter.
void RunAndRecordEventNoMutex(const std::function<void()> &callback);
void RunAndRecordEvent(platform::Place p,
const std::function<void()> &callback);
......
......@@ -80,7 +80,9 @@ void ReduceOpHandle::RunImpl() {
}
if (pre_in_var->IsType<framework::SelectedRows>()) {
this->RunAndRecordEvent([&] {
// FIXME(zcd): A temporary fix for some language model that has sparse
// parameter.
this->RunAndRecordEventNoMutex([&] {
std::vector<const SelectedRows *> in_selected_rows =
GetInputValues<SelectedRows>(in_var_handles, var_scopes);
GatherSelectedRows(in_selected_rows, in_places, dev_ctxes_, t_out_p,
......
......@@ -106,6 +106,14 @@ class CUDADeviceContext : public DeviceContext {
PADDLE_ENFORCE(cudaEventRecord(ev, stream_));
}
// FIXME(zcd): A temporary fix for some language model that has sparse
// parameter.
template <typename Callback>
void RecordEventNoMutex(cudaEvent_t ev, Callback callback) {
callback();
PADDLE_ENFORCE(cudaEventRecord(ev, stream_));
}
private:
CUDAPlace place_;
......
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