diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc
index 0c523b6f176345c0407b8541c04fb8c3b27f7c60..96ab5d457be2da5ed0a6b9d93b5510d7399bf20e 100644
--- a/paddle/fluid/pybind/pybind.cc
+++ b/paddle/fluid/pybind/pybind.cc
@@ -66,6 +66,14 @@ bool IsCompiledWithCUDA() {
 #endif
 }
 
+bool IsCompiledWithDIST() {
+#ifdef PADDLE_WITH_DIST
+  return true;
+#else
+  return false;
+#endif
+}
+
 PYBIND11_PLUGIN(core) {
   py::module m("core", "C++ core of PaddlePaddle");
 
@@ -508,6 +516,7 @@ All parameter, weight, gradient are variables in Paddle.
         [](bool init_p2p) { framework::InitDevices(init_p2p); });
 
   m.def("is_compiled_with_cuda", IsCompiledWithCUDA);
+  m.def("is_compiled_with_dist", IsCompiledWithDIST);
 #ifdef PADDLE_WITH_CUDA
   m.def("is_float16_supported", [](const platform::CUDAPlace &place) -> bool {
     // Only GPUs with Compute Capability >= 53 support float16
diff --git a/python/paddle/fluid/__init__.py b/python/paddle/fluid/__init__.py
index 3034c1a0875a71421bcba172c16ee32d809df152..ba562d3ba9755292a1962ea4fa6d65f8367138d3 100644
--- a/python/paddle/fluid/__init__.py
+++ b/python/paddle/fluid/__init__.py
@@ -121,6 +121,9 @@ def __bootstrap__():
         'eager_delete_scope', 'use_mkldnn', 'initial_cpu_memory_in_mb',
         'init_allocated_mem'
     ]
+    if core.is_compiled_with_dist():
+        read_env_flags.append('rpc_deadline')
+
     if core.is_compiled_with_cuda():
         read_env_flags += [
             'fraction_of_gpu_memory_to_use', 'cudnn_deterministic'