test_abstractconv.py is passing in new backend with v4 and v5

theano/sandbox/gpuarray/conv_desc.c

@@ -35,7 +35,7 @@ int APPLY_SPECIFIC(conv_desc)(PyArrayObject *filt_shp,
     return -1;
   }
 
-  err = cudnnSetConvolutionNdDescriptor_v3(*desc, NB_DIMS, pad, strides,
+  err = cudnnSetConvolutionNdDescriptor(*desc, NB_DIMS, pad, strides,
                                            upscale, CONV_MODE, PRECISION);
   return 0;
 }

theano/sandbox/gpuarray/dnn_base.c

@@ -86,7 +86,12 @@ c_set_filter(PyGpuArrayObject *var, cudnnFilterDescriptor_t desc) {
     dims[i] = PyGpuArray_DIM(var, i);
   }
 
-  cudnnStatus_t err = cudnnSetFilterNdDescriptor(desc, dt, nd, dims);
+#if CUDNN_VERSION > 5000
+    cudnnStatus_t err = cudnnSetFilterNdDescriptor(desc, dt, CUDNN_TENSOR_NCHW, nd, dims);
+#else
+    cudnnStatus_t err = cudnnSetFilterNdDescriptor(desc, dt, nd, dims);
+#endif
+
   if (err != CUDNN_STATUS_SUCCESS) {
     PyErr_Format(PyExc_RuntimeError,
 		 "Could not set filter descriptor: %s.",

theano/sandbox/gpuarray/dnn_fwd.c

@@ -154,7 +154,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
     int upscale[2];
     cudnnConvolutionMode_t mode;
     cudnnDataType_t data_type;
-    err = cudnnGetConvolutionNdDescriptor_v3(desc, 2, &nd, pad, stride,
+    err = cudnnGetConvolutionNdDescriptor(desc, 2, &nd, pad, stride,
                                              upscale, &mode, &data_type);
     if (err != CUDNN_STATUS_SUCCESS) {
       PyErr_Format(PyExc_RuntimeError,

theano/sandbox/gpuarray/dnn_gi.c

@@ -146,7 +146,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
     int upscale[2];
     cudnnConvolutionMode_t mode;
     cudnnDataType_t data_type;
-    err = cudnnGetConvolutionNdDescriptor_v3(desc, 2, &nd, pad, stride,
+    err = cudnnGetConvolutionNdDescriptor(desc, 2, &nd, pad, stride,
                                              upscale, &mode, &data_type);
     if (err != CUDNN_STATUS_SUCCESS) {
       PyErr_Format(PyExc_RuntimeError,
@@ -203,7 +203,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
   cuda_wait(output->ga.data, GPUARRAY_CUDA_WAIT_READ);
   cuda_wait((*input)->ga.data, GPUARRAY_CUDA_WAIT_WRITE);
 
-  err = cudnnConvolutionBackwardData_v3(
+  err = cudnnConvolutionBackwardData(
     APPLY_SPECIFIC(_handle),
     alpha_p,
     APPLY_SPECIFIC(kerns), PyGpuArray_DEV_DATA(kerns),

theano/sandbox/gpuarray/dnn_gw.c

@@ -146,7 +146,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
     int upscale[2];
     cudnnConvolutionMode_t mode;
     cudnnDataType_t data_type;
-    err = cudnnGetConvolutionNdDescriptor_v3(desc, 2, &nd, pad, stride,
+    err = cudnnGetConvolutionNdDescriptor(desc, 2, &nd, pad, stride,
                                              upscale, &mode, &data_type);
     if (err != CUDNN_STATUS_SUCCESS) {
       PyErr_Format(PyExc_RuntimeError,
@@ -190,7 +190,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
   cuda_wait(output->ga.data, GPUARRAY_CUDA_WAIT_READ);
   cuda_wait((*kerns)->ga.data, GPUARRAY_CUDA_WAIT_WRITE);
 
-  err = cudnnConvolutionBackwardFilter_v3(
+  err = cudnnConvolutionBackwardFilter(
     APPLY_SPECIFIC(_handle),
     alpha_p,
     APPLY_SPECIFIC(input), PyGpuArray_DEV_DATA(input),