From 60d0a0594e4cf0152459646f36fa71d3f454856f Mon Sep 17 00:00:00 2001
From: chengduoZH <zhaochengduo@163.com>
Date: Wed, 28 Mar 2018 17:13:25 +0800
Subject: [PATCH] refine parallel

---
 paddle/fluid/framework/parallel_executor.cc | 44 ++++++++++++++-------
 1 file changed, 29 insertions(+), 15 deletions(-)

diff --git a/paddle/fluid/framework/parallel_executor.cc b/paddle/fluid/framework/parallel_executor.cc
index 8a90f231d7..91f2db9354 100644
--- a/paddle/fluid/framework/parallel_executor.cc
+++ b/paddle/fluid/framework/parallel_executor.cc
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/framework/parallel_executor.h"
+#include <string>
 
 #include "ThreadPool.h"
 
@@ -102,30 +103,43 @@ void ParallelExecutor::BCastParamsToGPUs(
   auto *main_scope = member_->local_scopes_[0];
 
   for (auto *var_desc : startup_program.Block(0).AllVars()) {
+    size_t idx = var_desc->Name().find("@GRAD");
+    if (idx != std::string::npos) continue;
     if (var_desc->GetType() == proto::VarType::LOD_TENSOR) {
       auto &main_tensor =
           main_scope->FindVar(var_desc->Name())->Get<LoDTensor>();
-      ncclDataType_t data_type = platform::ToNCCLDataType(main_tensor.type());
-      auto &dims = main_tensor.dims();
-      size_t numel = main_tensor.numel();
 
-      platform::NCCLGroupGuard guard;
+      auto &dims = main_tensor.dims();
 
-      for (size_t i = 0; i < member_->places_.size(); ++i) {
-        auto place = member_->places_[i];
-        void *buffer;
-        if (i == 0) {
-          buffer = const_cast<void *>(main_tensor.data<void>());
-        } else {
+      if (paddle::platform::is_gpu_place(main_tensor.place())) {
+        size_t numel = main_tensor.numel();
+        ncclDataType_t data_type = platform::ToNCCLDataType(main_tensor.type());
+        platform::NCCLGroupGuard guard;
+        for (size_t i = 0; i < member_->places_.size(); ++i) {
+          auto place = member_->places_[i];
+          void *buffer;
+          if (i == 0) {
+            buffer = const_cast<void *>(main_tensor.data<void>());
+          } else {
+            auto local_scope = member_->local_scopes_[i];
+            auto *t =
+                local_scope->Var(var_desc->Name())->GetMutable<LoDTensor>();
+            t->Resize(dims);
+            buffer = t->mutable_data(place, main_tensor.type());
+          }
+          auto &nccl_ctx = member_->nccl_ctxs_->at(place);
+          platform::dynload::ncclBcast(buffer, numel, data_type, 0,
+                                       nccl_ctx.comm_, nccl_ctx.stream());
+        }
+      } else {
+        platform::CPUPlace cpu;
+        for (size_t i = 1; i < member_->places_.size(); ++i) {
           auto local_scope = member_->local_scopes_[i];
           auto *t = local_scope->Var(var_desc->Name())->GetMutable<LoDTensor>();
           t->Resize(dims);
-          buffer = t->mutable_data(place, main_tensor.type());
+          t->mutable_data(cpu, main_tensor.type());
+          paddle::framework::TensorCopy(main_tensor, cpu, t);
         }
-
-        auto &nccl_ctx = member_->nccl_ctxs_->at(place);
-        platform::dynload::ncclBcast(buffer, numel, data_type, 0,
-                                     nccl_ctx.comm_, nccl_ctx.stream());
       }
     }
     member_->nccl_ctxs_->WaitAll();
-- 
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