review fixes (Teamcity fails)

test=develop

paddle/fluid/inference/tests/api/tester_helper.h

@@ -139,7 +139,9 @@ void TestMultiThreadPrediction(
   }
   for (int tid = 0; tid < num_threads; ++tid) {
     threads.emplace_back([&, tid]() {
+#ifdef PADDLE_WITH_MKLDNN
       platform::set_cur_thread_id(static_cast<int>(tid) + 1);
+#endif
       // Each thread should have local inputs and outputs.
       // The inputs of each thread are all the same.
       std::vector<std::vector<PaddleTensor>> inputs_tid = inputs;

paddle/fluid/platform/device_context.cc

@@ -25,14 +25,6 @@ namespace platform {
 
 DeviceContextPool* DeviceContextPool::pool = nullptr;
 
-namespace {
-// Current thread's id.
-thread_local int cur_thread_id = 0;
-}
-
-void set_cur_thread_id(int tid) { cur_thread_id = tid; }
-int get_cur_thread_id(void) { return cur_thread_id; }
-
 platform::DeviceContext* DeviceContextPool::Get(const platform::Place& place) {
   auto it = device_contexts_.find(place);
   if (it == device_contexts_.end()) {
@@ -309,6 +301,14 @@ MKLDNNDeviceContext::MKLDNNDeviceContext(CPUPlace place)
   p_mutex_.reset(new std::mutex());
 }
 
+namespace {
+// Current thread's id.
+thread_local int cur_thread_id = 0;
+}
+
+void set_cur_thread_id(int tid) { cur_thread_id = tid; }
+int get_cur_thread_id(void) { return cur_thread_id; }
+
 void MKLDNNDeviceContext::SetBlob(const std::string& name,
                                   std::shared_ptr<void> data) const {
   BlobMap* pMap = p_blobmap_.get();

paddle/fluid/platform/device_context.h

@@ -39,12 +39,6 @@ limitations under the License. */
 namespace paddle {
 namespace platform {
 
-using KeyBlob = std::unordered_map<std::string, std::shared_ptr<void>>;
-using BlobMap = std::unordered_map<int, std::shared_ptr<KeyBlob>>;
-
-void set_cur_thread_id(int);
-int get_cur_thread_id(void);
-
 class DeviceContext {
  public:
   virtual ~DeviceContext() {}
@@ -182,6 +176,12 @@ struct DefaultDeviceContextType<platform::CUDAPinnedPlace> {
 #endif
 
 #ifdef PADDLE_WITH_MKLDNN
+using KeyBlob = std::unordered_map<std::string, std::shared_ptr<void>>;
+using BlobMap = std::unordered_map<int, std::shared_ptr<KeyBlob>>;
+
+void set_cur_thread_id(int);
+int get_cur_thread_id(void);
+
 class MKLDNNDeviceContext : public CPUDeviceContext {
  public:
   explicit MKLDNNDeviceContext(CPUPlace place);