提交 c99fca5f 编写于 作者: C chengduoZH

Add No Mutex

上级 13de7238
......@@ -103,23 +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
......
......@@ -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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