From 692a0f7425064f5e44179be6daf49062d50ffc2a Mon Sep 17 00:00:00 2001
From: Yu Yang <yuyang18@baidu.com>
Date: Wed, 14 Mar 2018 21:17:42 +0800
Subject: [PATCH] Better name

---
 paddle/fluid/framework/parallel_executor.cc | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/paddle/fluid/framework/parallel_executor.cc b/paddle/fluid/framework/parallel_executor.cc
index 748845874..46fb15f58 100644
--- a/paddle/fluid/framework/parallel_executor.cc
+++ b/paddle/fluid/framework/parallel_executor.cc
@@ -27,7 +27,8 @@ struct VarHandle {
   platform::Place place_;
 
   OpHandle *generated_op_;
-  std::vector<OpHandle *> deps_ops_;
+
+  std::vector<OpHandle *> pending_ops_;
 };
 
 struct OpHandle {
@@ -141,7 +142,7 @@ void ParallelExecutor::ConstructDependencyGraph(
         auto &place = pair.first;
         VarHandle *var = GetVarHandle(each_var_name, place);
         op_handle->inputs_.emplace_back(var);
-        var->deps_ops_.emplace_back(op_handle);
+        var->pending_ops_.emplace_back(op_handle);
       }
       var_names = op->OutputArgumentNames();
 
@@ -158,7 +159,7 @@ void ParallelExecutor::ConstructDependencyGraph(
           op_handle = member_->ops_.back().get();
           auto &place = pair.first;
           VarHandle *loss = GetVarHandle(loss_var_name, place);
-          loss->deps_ops_.emplace_back(op_handle);
+          loss->pending_ops_.emplace_back(op_handle);
           op_handle->inputs_.emplace_back(loss);
           GenerateVar(op_handle, loss_var_name + "@GRAD", place);
           change_forward = true;
@@ -188,7 +189,7 @@ void ParallelExecutor::ConstructDependencyGraph(
             }
             auto *prev_grad = &vars[vars.size() - 1];
             op_handle->inputs_.emplace_back(prev_grad);
-            prev_grad->deps_ops_.emplace_back(op_handle);
+            prev_grad->pending_ops_.emplace_back(op_handle);
             auto &var = vars[vars.size()];
             var.place_ = place;
             var.generated_op_ = op_handle;
@@ -317,7 +318,7 @@ std::vector<LoDTensor> ParallelExecutor::Run(
 
     std::vector<OpHandle *> to_run;
     for (auto *var : to_remove) {
-      for (auto *op : var->deps_ops_) {
+      for (auto *op : var->pending_ops_) {
         if (var->name_ == "mean_0.tmp_0@GRAD") {
           LOG(INFO) << op->DebugString();
         }
-- 
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