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