tensorflow/core/data/service/server_lib.cc

/* Copyright 2016 The TensorFlow 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 "tensorflow/core/data/service/server_lib.h"

#include "tensorflow/core/data/service/credentials_factory.h"
#include "tensorflow/core/data/service/grpc_dispatcher_impl.h"
#include "tensorflow/core/data/service/grpc_util.h"
#include "tensorflow/core/data/service/grpc_worker_impl.h"
#include "tensorflow/core/platform/errors.h"

namespace tensorflow {
namespace data {

namespace {
constexpr char kPortPlaceholder[] = "%port%";
}

GrpcDataServerBase::GrpcDataServerBase(int port, const std::string& protocol,
                                       const std::string server_type)
    : requested_port_(port),
      protocol_(protocol),
      server_type_(server_type),
      bound_port_(port) {}

Status GrpcDataServerBase::Start() {
  if (stopped_) {
    return errors::FailedPrecondition(
        "Server cannot be started after it has been stopped.");
  }
  if (started_) {
    return Status::OK();
  }
  ::grpc::ServerBuilder builder;
  std::shared_ptr<::grpc::ServerCredentials> credentials;
  TF_RETURN_IF_ERROR(
      CredentialsFactory::CreateServerCredentials(protocol_, &credentials));
  builder.AddListeningPort(strings::StrCat("0.0.0.0:", requested_port_),
                           credentials, &bound_port_);
  builder.SetMaxReceiveMessageSize(-1);

  AddDataServiceToBuilder(&builder);
  AddProfilerServiceToBuilder(&builder);
  server_ = builder.BuildAndStart();
  if (!server_) {
    return errors::Internal("Could not start gRPC server");
  }

  TF_RETURN_IF_ERROR(StartServiceInternal());

  started_ = true;
  LOG(INFO) << "Started tf.data " << server_type_
            << " running at 0.0.0.0:" << BoundPort();
  return Status::OK();
}

void GrpcDataServerBase::Stop() {
  if (stopped_) {
    return;
  }
  server_->Shutdown();
  stopped_ = true;
}

void GrpcDataServerBase::Join() { server_->Wait(); }

int GrpcDataServerBase::BoundPort() { return bound_port(); }

void GrpcDataServerBase::AddProfilerServiceToBuilder(
    ::grpc::ServerBuilder* builder) {
  profiler_service_ = CreateProfilerService();
  builder->RegisterService(profiler_service_.get());
}

DispatchGrpcDataServer::DispatchGrpcDataServer(
    const experimental::DispatcherConfig& config)
    : GrpcDataServerBase(config.port(), config.protocol(), "DispatchServer"),
      config_(config) {}

DispatchGrpcDataServer::~DispatchGrpcDataServer() { delete service_; }

void DispatchGrpcDataServer::AddDataServiceToBuilder(
    ::grpc::ServerBuilder* builder) {
  service_ = absl::make_unique<GrpcDispatcherImpl>(builder, config_).release();
}

Status DispatchGrpcDataServer::StartServiceInternal() {
  return service_->Start();
}

Status DispatchGrpcDataServer::NumWorkers(int* num_workers) {
  GetWorkersRequest req;
  GetWorkersResponse resp;
  ::grpc::ServerContext ctx;
  ::grpc::Status s = service_->GetWorkers(&ctx, &req, &resp);
  if (!s.ok()) {
    return grpc_util::WrapError("Failed to get workers", s);
  }
  *num_workers = resp.workers_size();
  return Status::OK();
}

WorkerGrpcDataServer::WorkerGrpcDataServer(
    const experimental::WorkerConfig& config)
    : GrpcDataServerBase(config.port(), config.protocol(), "WorkerServer"),
      config_(config) {}

WorkerGrpcDataServer::~WorkerGrpcDataServer() { delete service_; }

void WorkerGrpcDataServer::AddDataServiceToBuilder(
    ::grpc::ServerBuilder* builder) {
  service_ = absl::make_unique<GrpcWorkerImpl>(builder, config_).release();
}

Status WorkerGrpcDataServer::StartServiceInternal() {
  std::string worker_address = config_.worker_address();
  if (worker_address.empty()) {
    worker_address = absl::StrCat("localhost:", kPortPlaceholder);
  }
  std::string resolved_address = str_util::StringReplace(
      worker_address, kPortPlaceholder, absl::StrCat(bound_port()),
      /*replace_all=*/false);
  TF_RETURN_IF_ERROR(service_->Start(resolved_address));
  return Status::OK();
}

Status NewDispatchServer(const experimental::DispatcherConfig& config,
                         std::unique_ptr<DispatchGrpcDataServer>* out_server) {
  *out_server = absl::make_unique<DispatchGrpcDataServer>(config);
  return Status::OK();
}

Status NewWorkerServer(const experimental::WorkerConfig& config,
                       std::unique_ptr<WorkerGrpcDataServer>* out_server) {
  *out_server = absl::make_unique<WorkerGrpcDataServer>(config);
  return Status::OK();
}

}  // namespace data
}  // namespace tensorflow