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Paddle/paddle/fluid/framework/details/op_handle_base.cc

164 lines
4.3 KiB

// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/framework/details/op_handle_base.h"
#include <map>
namespace paddle {
namespace framework {
namespace details {
std::string OpHandleBase::DebugString() const {
std::stringstream ss;
ss << "(";
for (auto *var : inputs_) {
ss << var->DebugString() << ", ";
}
ss << ") --> (";
for (auto *var : outputs_) {
ss << var->DebugString() << ", ";
}
ss << ")\n";
return ss.str();
}
OpHandleBase::~OpHandleBase() {
#ifdef PADDLE_WITH_CUDA
for (auto &ev : events_) {
PADDLE_ENFORCE(cudaEventDestroy(ev.second));
}
#endif
}
void OpHandleBase::Run(bool use_cuda) {
#ifdef PADDLE_WITH_CUDA
if (events_.empty() && use_cuda) {
for (auto &p : dev_ctxes_) {
int dev_id = boost::get<platform::CUDAPlace>(p.first).device;
PADDLE_ENFORCE(cudaSetDevice(dev_id));
PADDLE_ENFORCE(
cudaEventCreateWithFlags(&events_[dev_id], cudaEventDisableTiming));
}
}
#else
PADDLE_ENFORCE(!use_cuda);
#endif
RunImpl();
}
void OpHandleBase::RecordWaitEventOnCtx(platform::DeviceContext *waited_ctx) {
#ifdef PADDLE_WITH_CUDA
PADDLE_ENFORCE_NOT_NULL(waited_ctx);
if (platform::is_cpu_place(waited_ctx->GetPlace()) || events_.empty()) {
for (auto &dev_ctx : dev_ctxes_) {
PADDLE_ENFORCE_NOT_NULL(dev_ctx.second);
dev_ctx.second->Wait();
}
} else {
auto stream =
static_cast<platform::CUDADeviceContext *>(waited_ctx)->stream();
for (auto &ev : events_) {
PADDLE_ENFORCE(cudaStreamWaitEvent(stream, ev.second, 0));
}
}
#else
for (auto &dev_ctx : dev_ctxes_) {
dev_ctx.second->Wait();
}
#endif
}
void OpHandleBase::AddInput(VarHandleBase *in) {
this->inputs_.emplace_back(in);
node_->inputs.push_back(in->Node());
in->AddOutput(this, this->Node());
}
void OpHandleBase::AddOutput(VarHandleBase *out) {
outputs_.emplace_back(out);
node_->outputs.push_back(out->Node());
out->AddInput(this, this->Node());
}
void OpHandleBase::WaitInputVarGenerated() {
for (auto in_var : inputs_) {
if (NeedWait(in_var)) {
for (auto &pair : dev_ctxes_) {
in_var->GeneratedOp()->RecordWaitEventOnCtx(pair.second);
}
}
}
}
void OpHandleBase::WaitInputVarGenerated(const platform::Place &place) {
for (auto *in : inputs_) {
if (NeedWait(in)) {
in->GeneratedOp()->RecordWaitEventOnCtx(dev_ctxes_[place]);
}
}
}
size_t OpHandleBase::NoDummyInputSize() const {
size_t cnt = 0;
for (auto *in : inputs_) {
if (dynamic_cast<DummyVarHandle *>(in) == nullptr) {
++cnt;
}
}
return cnt;
}
bool OpHandleBase::NeedWait(VarHandleBase *in_var) {
return in_var && in_var->GeneratedOp();
}
void OpHandleBase::RunAndRecordEvent(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)->RecordEvent(
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
if (platform::is_cpu_place(p) || events_.empty()) {
callback();
} else {
auto *ctx = dev_ctxes_.at(p);
auto *cuda_ctx = static_cast<platform::CUDADeviceContext *>(ctx);
cuda_ctx->RecordEvent(events_.at(boost::get<platform::CUDAPlace>(p).device),
callback);
}
#else
callback();
#endif
}
} // namespace details
} // namespace framework
} // namespace paddle