Replace random_shuffle using shuffle.

* reduce trainer count for unit test on MAC OSX

paddle/gserver/dataproviders/DataProviderGroup.h

@@ -65,7 +65,8 @@ void DataProviderGroup<T>::reset() {
   provider_ = nullptr;
 
   // shuffle file list
-  std::random_shuffle(fileList_.begin(), fileList_.end());
+  std::shuffle(fileList_.begin(), fileList_.end(),
+      ThreadLocalRandomEngine::get());
 
   startLoader();
   DataProvider::reset();

paddle/gserver/dataproviders/ProtoDataProvider.cpp

@@ -374,7 +374,8 @@ void ProtoDataProvider::reset() {
 }
 
 void ProtoDataProvider::shuffle() {
-  std::random_shuffle(shuffledSequenceIds_.begin(), shuffledSequenceIds_.end());
+  std::shuffle(shuffledSequenceIds_.begin(), shuffledSequenceIds_.end(),
+      ThreadLocalRandomEngine::get());
 }
 
 /*

paddle/math/Matrix.cpp

@@ -2514,7 +2514,8 @@ void SharedCpuMatrix::mul(CpuSparseMatrix* a, CpuMatrix* b, real scaleAB,
     for (int k = 0; k < blockNum_; ++k) {
       blockSeq.push_back(k);
     }
-    std::random_shuffle(blockSeq.begin(), blockSeq.end());
+    std::shuffle(blockSeq.begin(), blockSeq.end(),
+        ThreadLocalRandomEngine::get());
   }
   std::vector<int>& localBufRows = *localBufRows_;
   int* cols = a->getCols();

paddle/trainer/tests/test_CompareSparse.cpp

@@ -146,12 +146,12 @@ TEST(compareSparse, remote_cpu) {
 TEST(compareSparse, cpu10_local_vs_remote) {
   FLAGS_local = 1;  // disable remote sparse update in parameter config
   std::vector<ParameterPtr> localParameters =
-      trainerOnePassTest(configFile1, true, 10);
+      trainerOnePassTest(configFile1, true, 2);
 
   FLAGS_local = 0;  // will enable remote sparse update
   FLAGS_ports_num_for_sparse = 5;
   std::vector<ParameterPtr> remoteParameters =
-      trainerOnePassTest(configFile1, true, 10);
+      trainerOnePassTest(configFile1, true, 2);
 
   compareValue(localParameters, remoteParameters);
 }
@@ -174,7 +174,7 @@ TEST(compareSparse, multiGradientMachine) {
       FLAGS_parallel_nn = useGpu;
       LOG(INFO) << " local=" << local
                 << " useGpu=" << useGpu;
-      int trainerCount = useGpu ? numGpu : 10;
+      int trainerCount = useGpu ? numGpu : 2;
       std::vector<ParameterPtr> parameters =
           trainerOnePassTest(configFile1, true, trainerCount, useGpu);
       compareValue(getDenseParameters(), parameters, eps);