Merge branch 'feature/enhance_dev_ctx_pool' into feature/is_nan

paddle/pybind/tensor_py.h

@@ -63,9 +63,10 @@ struct CastToPyBufferImpl<true, I, ARGS...> {
         auto *dst_ptr = static_cast<void *>(dst_tensor.mutable_data<CUR_TYPE>(
             tensor.dims(), platform::CPUPlace()));
 
-        platform::DeviceContextPool &pool = platform::DeviceContextPool::Get();
+        platform::DeviceContextPool &pool =
+            platform::DeviceContextPool::Instance;
         auto dev_ctx = static_cast<const platform::CUDADeviceContext *>(
-            pool.Borrow(tensor.place()));
+            pool.Get(tensor.place()));
 
         paddle::platform::GpuMemcpyAsync(
             dst_ptr, src_ptr, sizeof(CUR_TYPE) * tensor.numel(),
@@ -137,9 +138,9 @@ void PyCUDATensorSetFromArray(
   self.Resize(framework::make_ddim(dims));
   auto *dst = self.mutable_data<T>(place);
 
-  platform::DeviceContextPool &pool = platform::DeviceContextPool::Get();
+  platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
   auto dev_ctx =
-      static_cast<const platform::CUDADeviceContext *>(pool.Borrow(place));
+      static_cast<const platform::CUDADeviceContext *>(pool.Get(place));
   paddle::platform::GpuMemcpyAsync(dst, array.data(), sizeof(T) * array.size(),
                                    cudaMemcpyHostToDevice, dev_ctx->stream());
 }