diff --git a/paddle/cuda/src/hl_cuda_cudnn.cc b/paddle/cuda/src/hl_cuda_cudnn.cc
index 8cddf10d40c6277c6bb29a4fe11e5845a2770213..c0c8b0e60dbde11fd7e8ce056df7e8a7862049d2 100644
--- a/paddle/cuda/src/hl_cuda_cudnn.cc
+++ b/paddle/cuda/src/hl_cuda_cudnn.cc
@@ -175,11 +175,15 @@ void hl_cudnn_init(cudnnHandle_t* cudnn_handle, cudaStream_t stream) {
       << "PaddlePaddle Requirement: "
       << "(header v[2-3] with libcudnn v[2-3]) Or "
       << "(header v4 with libcudnn v4) Or "
-      << "(header v5 with libcudnn v5).";
+      << "(header v5 with libcudnn v5) Or"
+      << "(header v6 with libcudnn v6).";
 
-  CHECK(!(CUDNN_VERSION >= 5000 && CUDA_VERSION < 7050))
+  CHECK(!(CUDNN_VERSION < 6000 && CUDNN_VERSION >= 5000 && CUDA_VERSION < 7050))
       << "cudnn v5 requires cuda version >= 7.5";
 
+  CHECK(!(CUDNN_VERSION >= 6000 && CUDA_VERSION < 8000))
+      << "cudnn v6 requires cuda version >= 8.0";
+
   CHECK_CUDNN(dynload::cudnnCreate(cudnn_handle));
   CHECK_CUDNN(dynload::cudnnSetStream(*cudnn_handle, stream));
 
@@ -610,6 +614,23 @@ void hl_create_convolution_descriptor(hl_convolution_descriptor* conv,
   CHECK_CUDNN(dynload::cudnnCreateConvolutionDescriptor(&hl_conv->desc));
 
   cudnnConvolutionMode_t mode = CUDNN_CROSS_CORRELATION;
+
+#if CUDNN_VERSION >= 6000
+#ifndef PADDLE_TYPE_DOUBLE
+  cudnnDataType_t data_type = CUDNN_DATA_FLOAT;
+#else
+  cudnnDataType_t data_type = CUDNN_DATA_DOUBLE;
+#endif
+  CHECK_CUDNN(dynload::cudnnSetConvolution2dDescriptor(hl_conv->desc,
+                                                       padding_height,
+                                                       padding_width,
+                                                       stride_height,
+                                                       stride_width,
+                                                       1,
+                                                       1,
+                                                       mode,
+                                                       data_type));
+#else
   CHECK_CUDNN(dynload::cudnnSetConvolution2dDescriptor(hl_conv->desc,
                                                        padding_height,
                                                        padding_width,
@@ -618,6 +639,7 @@ void hl_create_convolution_descriptor(hl_convolution_descriptor* conv,
                                                        1,
                                                        1,
                                                        mode));
+#endif
 
   hl_conv->input_image = image;
   hl_conv->filter = filter;
@@ -645,6 +667,23 @@ void hl_reset_convolution_descriptor(hl_convolution_descriptor conv,
 
   cudnnConvolutionDescriptor_t conv_desc = GET_CONVOLUTION_DESCRIPTOR(conv);
   cudnnConvolutionMode_t mode = CUDNN_CROSS_CORRELATION;
+
+#if CUDNN_VERSION >= 6000
+#ifndef PADDLE_TYPE_DOUBLE
+  cudnnDataType_t data_type = CUDNN_DATA_FLOAT;
+#else
+  cudnnDataType_t data_type = CUDNN_DATA_DOUBLE;
+#endif
+  CHECK_CUDNN(dynload::cudnnSetConvolution2dDescriptor(conv_desc,
+                                                       padding_height,
+                                                       padding_width,
+                                                       stride_height,
+                                                       stride_width,
+                                                       1,
+                                                       1,
+                                                       mode,
+                                                       data_type));
+#else
   CHECK_CUDNN(dynload::cudnnSetConvolution2dDescriptor(conv_desc,
                                                        padding_height,
                                                        padding_width,
@@ -653,6 +692,7 @@ void hl_reset_convolution_descriptor(hl_convolution_descriptor conv,
                                                        1,
                                                        1,
                                                        mode));
+#endif
 
   cudnn_convolution_descriptor hl_conv = (cudnn_convolution_descriptor)conv;
   hl_conv->input_image = image;