"fix compiled in manylinux"

paddle/fluid/platform/cudnn_helper.h

@@ -74,20 +74,20 @@ inline const char* cudnnGetErrorString(cudnnStatus_t status) {
 #pragma message "This message is intended to annoy you enough to update."
 #pragma message \
     "please see https://docs.nvidia.com/deeplearning/sdk/cudnn-release-notes/"
-#endif  // CUDNN_VERSION < 6000
-
-enum class DataLayout {  // Not use
-  kNHWC,
-  kNCHW,
-  kNCDHW,
-  kNCHW_VECT_C,
-};
 
-enum class PoolingMode {
-  kMaximum,
-  kAverage,
-  kMaximumDeterministic,
-};
+inline cudnnPoolingMode_t GetPoolingMode(const PoolingMode& mode) {
+  switch (mode) {
+    case PoolingMode::kMaximumDeterministic:
+      return CUDNN_POOLING_MAX;
+    case PoolingMode::kAverage:
+      return CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING;
+    case PoolingMode::kMaximum:
+      return CUDNN_POOLING_MAX;
+    default:
+      PADDLE_THROW("Unexpected pooling mode.");
+  }
+}
+#else
 
 inline cudnnPoolingMode_t GetPoolingMode(const PoolingMode& mode) {
   switch (mode) {
@@ -101,6 +101,20 @@ inline cudnnPoolingMode_t GetPoolingMode(const PoolingMode& mode) {
       PADDLE_THROW("Unexpected pooling mode.");
   }
 }
+#endif  // CUDNN_VERSION < 6000
+
+enum class DataLayout {  // Not use
+  kNHWC,
+  kNCHW,
+  kNCDHW,
+  kNCHW_VECT_C,
+};
+
+enum class PoolingMode {
+  kMaximum,
+  kAverage,
+  kMaximumDeterministic,
+};
 
 template <typename T>
 class CudnnDataType;