op_handle_base.cc 4.5 KB
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//   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"
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#include <map>
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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();
}

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OpHandleBase::~OpHandleBase() {
#ifdef PADDLE_WITH_CUDA
  for (auto &ev : events_) {
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    PADDLE_ENFORCE(cudaEventDestroy(ev.second));
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  }
#endif
}
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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));
      PADDLE_ENFORCE(
          cudaEventCreateWithFlags(&events_[dev_id], cudaEventDisableTiming));
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    }
  }
#else
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  PADDLE_ENFORCE(!use_cuda);
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#endif

  RunImpl();
}

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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();
    }
  } else {
    auto stream =
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        static_cast<platform::CUDADeviceContext *>(waited_ctx)->stream();
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    for (auto &ev : events_) {
      PADDLE_ENFORCE(cudaStreamWaitEvent(stream, ev.second, 0));
    }
  }
#else
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  for (auto &dev_ctx : dev_ctxes_) {
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    dev_ctx.second->Wait();
  }
#endif
}
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void OpHandleBase::AddInput(VarHandleBase *in) {
  this->inputs_.emplace_back(in);
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  node_->inputs.push_back(in->Node());
  in->AddOutput(this, this->Node());
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}

void OpHandleBase::AddOutput(VarHandleBase *out) {
  outputs_.emplace_back(out);
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  node_->outputs.push_back(out->Node());
  out->AddInput(this, this->Node());
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}

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void OpHandleBase::WaitInputVarGenerated() {
  for (auto in_var : inputs_) {
    if (NeedWait(in_var)) {
      for (auto &pair : dev_ctxes_) {
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        in_var->GeneratedOp()->RecordWaitEventOnCtx(pair.second);
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      }
    }
  }
}

void OpHandleBase::WaitInputVarGenerated(const platform::Place &place) {
  for (auto *in : inputs_) {
    if (NeedWait(in)) {
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      in->GeneratedOp()->RecordWaitEventOnCtx(dev_ctxes_[place]);
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    }
  }
}

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size_t OpHandleBase::NoDummyInputSize() const {
  size_t cnt = 0;
  for (auto *in : inputs_) {
    if (dynamic_cast<DummyVarHandle *>(in) == nullptr) {
      ++cnt;
    }
  }
  return cnt;
}

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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) {
#ifdef PADDLE_WITH_CUDA
  if (!events_.empty()) {  // Use event
    std::function<void()> method = callback;
    for (auto &p : dev_ctxes_) {
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      method = [method, p, this]() {
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        static_cast<platform::CUDADeviceContext *>(p.second)->RecordEvent(
            events_.at(boost::get<platform::CUDAPlace>(p.first).device),
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            method);
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      };
    }
    method();
  } else {
#endif
    callback();
#ifdef PADDLE_WITH_CUDA
  }
#endif
}

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void OpHandleBase::RunAndRecordEvent(platform::Place p,
                                     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()) {
    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);
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  }
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#else
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  callback();
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#endif
}

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size_t OpHandleBase::NotReadyInputSize() const {
  std::unordered_set<VarHandleBase *> res;
  for (auto *var : inputs_) {
    if (var->GeneratedOp() != nullptr) {
      res.emplace(var);
    }
  }
  return res.size();
}

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}  // namespace details
}  // namespace framework
}  // namespace paddle