fix 2dconn test=develop (#17681)

paddle/fluid/framework/parallel_executor.cc

@@ -157,9 +157,14 @@ class ParallelExecutorPrivate {
                             bst.trainer_id_);
 
     if (bst.use_hierarchical_allreduce_) {
-      std::string var_name = platform::GetHierarchicalInterNCCLVarName();
+      std::vector<ncclUniqueId *> inter_nccl_ids;
+      for (int i = 0; i < static_cast<int>(bst.nccl_comm_num_); i++) {
+        std::string var_name = platform::GetHierarchicalInterNCCLVarName(i);
         auto nccl_id_var = scope->FindVar(var_name);
+        PADDLE_ENFORCE(nccl_id_var, "can't find %s nccl_id_var", var_name);
         auto inter_nccl_id = nccl_id_var->GetMutable<ncclUniqueId>();
+        inter_nccl_ids.push_back(inter_nccl_id);
+      }
 
       std::vector<ncclUniqueId *> exter_nccl_ids;
       for (int i = 0; i < static_cast<int>(bst.nccl_comm_num_); i++) {
@@ -169,7 +174,8 @@ class ParallelExecutorPrivate {
         auto nccl_id = nccl_id_var->GetMutable<ncclUniqueId>();
         exter_nccl_ids.push_back(nccl_id);
       }
-      nccl_ctxs_.InitHierarchicalCtxs(places_, inter_nccl_id, exter_nccl_ids,
+
+      nccl_ctxs_.InitHierarchicalCtxs(places_, inter_nccl_ids, exter_nccl_ids,
                                       bst.num_trainers_, bst.trainer_id_,
                                       bst.hierarchical_allreduce_inter_nranks_,
                                       bst.hierarchical_allreduce_exter_nranks_);

paddle/fluid/operators/distributed_ops/gen_nccl_id_op.cc

@@ -124,9 +124,12 @@ class GenNCCLIdOp : public framework::OperatorBase {
         ss << trainers[i];
       }
       VLOG(1) << "Hierarchical inter ring endpoints:" << ss.str();
-      std::string nccl_var_name = platform::GetHierarchicalInterNCCLVarName();
+      for (int i = 0; i < nccl_comm_num; i++) {
+        std::string nccl_var_name =
+            platform::GetHierarchicalInterNCCLVarName(i);
         GenerateAndSend(&local_scope, dev_ctx, nccl_var_name, inter_endpoints);
       }
+    }
 
     // hierarchical exter ncclid
     if (exter_trainer_id == 0) {
@@ -208,13 +211,15 @@ class GenNCCLIdOp : public framework::OperatorBase {
 
     if (use_hierarchical_allreduce) {
       if (inter_trainer_id > 0) {
+        for (int i = 0; i < nccl_comm_num; i++) {
           rpc_service->SetCond(distributed::kRequestSend);
           VLOG(3) << "trainer_id:" << trainer_id
                   << ", inter_trainer_id:" << inter_trainer_id
-                << " start getting nccl id from inter_trainer 0";
+                  << " start getting nccl id from inter_trainer:" << i;
           rpc_service->WaitBarrier(distributed::kRequestSend);
           rpc_service->ResetBarrierCounter();
         }
+      }
 
       if (exter_trainer_id > 0) {
         for (int i = 0; i < nccl_comm_num; i++) {

paddle/fluid/platform/nccl_helper.h

@@ -171,8 +171,9 @@ inline std::string GetHierarchicalExterNCCLVarName(size_t pos) {
   return string::Sprintf("Hierarchical_exter_%s_%d", NCCL_ID_VARNAME,
                          static_cast<int>(pos));
 }
-inline std::string GetHierarchicalInterNCCLVarName() {
-  return string::Sprintf("Hierarchical_inter_%s", NCCL_ID_VARNAME);
+inline std::string GetHierarchicalInterNCCLVarName(size_t pos) {
+  return string::Sprintf("Hierarchical_inter_%s_%d", NCCL_ID_VARNAME,
+                         static_cast<int>(pos));
 }
 
 class MultiNCCLContextMap {
@@ -224,8 +225,8 @@ class MultiNCCLContextMap {
   }
 
   void InitHierarchicalCtxs(const std::vector<platform::Place> &places,
-                            ncclUniqueId *inter_nccl_id,
-                            const std::vector<ncclUniqueId *> &exter_nccl_id,
+                            const std::vector<ncclUniqueId *> &inter_nccl_ids,
+                            const std::vector<ncclUniqueId *> &exter_nccl_ids,
                             size_t trainers_num, size_t trainer_id,
                             size_t inter_trainers_num,
                             size_t exter_trainers_num) {
@@ -238,11 +239,14 @@ class MultiNCCLContextMap {
                    inter_trainers_num);
 
     int inter_trainer_id = trainer_id % inter_trainers_num;
-    VLOG(1) << "init inter_trainer_id:" << inter_trainer_id;
-    auto local = new NCCLContextMap(places, inter_nccl_id, inter_trainers_num,
-                                    inter_trainer_id);
+    for (size_t i = 0; i < inter_nccl_ids.size(); i++) {
+      VLOG(1) << "init inter_trainer_id:" << inter_trainer_id
+              << ", comm no:" << i;
+      auto local = new NCCLContextMap(places, inter_nccl_ids[i],
+                                      inter_trainers_num, inter_trainer_id);
 
       h_inter_ctxs_.emplace_back(local);
+    }
 
     int exter_trainer_id = -1;
     if (trainer_id % inter_trainers_num == 0) {
@@ -250,8 +254,8 @@ class MultiNCCLContextMap {
     }
 
     if (exter_trainer_id >= 0) {
-      for (size_t i = 0; i < exter_nccl_id.size(); i++) {
-        auto ex = new NCCLContextMap(places, exter_nccl_id[i],
+      for (size_t i = 0; i < exter_nccl_ids.size(); i++) {
+        auto ex = new NCCLContextMap(places, exter_nccl_ids[i],
                                      exter_trainers_num, exter_trainer_id);
         VLOG(1) << "init exter_trainer_id:" << exter_trainer_id
                 << ", comm no:" << i;

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -278,11 +278,11 @@ class DistributeTranspiler(object):
                     type=core.VarDesc.VarType.RAW)
 
             if self.config.use_hierarchical_allreduce:
+                for i in range(0, self.config.nccl_comm_num):
                     startup_program.global_block().create_var(
-                    name="Hierarchical_inter_NCCLID",
+                        name="Hierarchical_inter_NCCLID_{}".format(i),
                         persistable=True,
                         type=core.VarDesc.VarType.RAW)
-                for i in range(0, self.config.nccl_comm_num):
                     startup_program.global_block().create_var(
                         name="Hierarchical_exter_NCCLID_{}".format(i),
                         persistable=True,