Home | History | Annotate | Download | only in mpi 
      1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #ifdef TENSORFLOW_USE_MPI
     17 
     18 #include "tensorflow/contrib/mpi/mpi_server_lib.h"
     19 
     20 #include <string>
     21 #include <utility>
     22 
     23 #include "grpc/support/alloc.h"
     24 
     25 #include "tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.h"
     26 #include "tensorflow/core/distributed_runtime/server_lib.h"
     27 #include "tensorflow/core/lib/core/status.h"
     28 #include "tensorflow/core/platform/env.h"
     29 
     30 namespace tensorflow {
     31 
     32 namespace {
     33 // static utility function
     34 RendezvousMgrInterface* NewMPIRendezvousMgr(const WorkerEnv* env) {
     35   // Runtime check to disable the MPI path
     36   const char* mpienv = getenv("MPI_DISABLED");
     37   if (mpienv && mpienv[0] == '1') {
     38     LOG(INFO) << "MPI path disabled by environment variable\n";
     39     return new RpcRendezvousMgr(env);
     40   } else {
     41     return new MPIRendezvousMgr(env);
     42   }
     43 }
     44 
     45 }  // namespace
     46 
     47 MPIServer::MPIServer(const ServerDef& server_def, Env* env)
     48     : GrpcServer(server_def, env) {}
     49 
     50 MPIServer::~MPIServer() {
     51   TF_CHECK_OK(Stop());
     52   TF_CHECK_OK(Join());
     53 }
     54 
     55 Status MPIServer::Init(ServiceInitFunction service_func,
     56                        RendezvousMgrCreationFunction rendezvous_mgr_func) {
     57   Status s = GrpcServer::Init(service_func, rendezvous_mgr_func);
     58   return s;
     59 }
     60 
     61 Status MPIServer::Start() {
     62   Status s = GrpcServer::Start();
     63   return s;
     64 }
     65 
     66 Status MPIServer::Join() {
     67   Status s = GrpcServer::Join();
     68   return s;
     69 }
     70 
     71 /* static */
     72 Status MPIServer::Create(const ServerDef& server_def, Env* env,
     73                          std::unique_ptr<ServerInterface>* out_server) {
     74   std::unique_ptr<MPIServer> ret(new MPIServer(server_def, Env::Default()));
     75   ServiceInitFunction service_func = nullptr;
     76   TF_RETURN_IF_ERROR(ret->Init(service_func, NewMPIRendezvousMgr));
     77   *out_server = std::move(ret);
     78   return Status::OK();
     79 }
     80 
     81 namespace {
     82 
     83 class MPIServerFactory : public ServerFactory {
     84  public:
     85   bool AcceptsOptions(const ServerDef& server_def) override {
     86     return server_def.protocol() == "grpc+mpi";
     87   }
     88 
     89   Status NewServer(const ServerDef& server_def,
     90                    std::unique_ptr<ServerInterface>* out_server) override {
     91     return MPIServer::Create(server_def, Env::Default(), out_server);
     92   }
     93 };
     94 
     95 // Registers a `ServerFactory` for `MPIServer` instances.
     96 class MPIServerRegistrar {
     97  public:
     98   MPIServerRegistrar() {
     99     gpr_allocation_functions alloc_fns;
    100     alloc_fns.malloc_fn = port::Malloc;
    101     alloc_fns.realloc_fn = port::Realloc;
    102     alloc_fns.free_fn = port::Free;
    103     gpr_set_allocation_functions(alloc_fns);
    104     ServerFactory::Register("MPI_SERVER", new MPIServerFactory());
    105   }
    106 };
    107 static MPIServerRegistrar registrar;
    108 
    109 }  // namespace
    110 }  // namespace tensorflow
    111 
    112 #endif  // TENSORFLOW_USE_MPI
    113