Merge pull request #3108 from Superjom/fix_rnn

fix paddle/develop build error concerning rnnop

paddle/operators/recurrent_network_op.cc

@@ -69,9 +69,10 @@ void ConcatOutputs(std::vector<std::shared_ptr<Scope>>& step_scopes,
       Tensor* step_output = step_scopes[j]
                                 ->GetVariable(outlinks[i].internal)
                                 ->GetMutable<Tensor>();
-      // TODO data type and platform::DeviceContext() should set correctly
+      // TODO(luotao02) data type and platform::DeviceContext() should set
+      // correctly
       (output->Slice<float>(j, j + 1))
-          .CopyFrom<float>(*step_output, platform::CPUDeviceContext());
+          .CopyFrom<float>(*step_output, platform::CPUPlace());
     }
   }
 }

paddle/platform/device_context.cc

@@ -43,7 +43,7 @@ Eigen::GpuDevice* DeviceContext::get_eigen_device<Eigen::GpuDevice>() const {
 
 CUDADeviceContext::CUDADeviceContext(GPUPlace place) : place_(place) {
   SetDeviceId(place_.device);
-  // TODO (qijun) Pass a created cuda stream to Eigen::CudaStreamDevice directly
+  // TODO(qijun) Pass a created cuda stream to Eigen::CudaStreamDevice directly
   // here will cause segment fault. We must implement a class derived from
   // Eigen::StreamInterface, and reinitialize it with a cuda stream and a gpu id
   // later. Please refer to the implementation of class EigenCudaStreamDevice