Update sandbox/cuda/dnn_base.c to check malloc

theano/sandbox/cuda/dnn_base.c

@@ -5,34 +5,42 @@ static cudnnHandle_t _handle = NULL;
 static int
 c_set_tensorNd(CudaNdarray *var, cudnnTensorDescriptor_t desc) {
 
-
   int dim = CudaNdarray_NDIM(var);
   int *strides = (int *)malloc(dim * sizeof(int));
   int default_str = 1;
   int return_value = 0;
-
-  for (int i = dim-1; i >= 0; i--)
-  {
-    if (CudaNdarray_HOST_STRIDES(var)[i])
-      strides[i] = CudaNdarray_HOST_STRIDES(var)[i];
-    else
-      strides[i] = default_str;
-    default_str *= CudaNdarray_HOST_DIMS(var)[i];
+  
+  if (strides != NULL) {
+    for (int i = dim-1; i >= 0; i--)
+    {
+      if (CudaNdarray_HOST_STRIDES(var)[i])
+        strides[i] = CudaNdarray_HOST_STRIDES(var)[i];
+      else
+        strides[i] = default_str;
+      default_str *= CudaNdarray_HOST_DIMS(var)[i];
+    }
+    
+    cudnnStatus_t err = cudnnSetTensorNdDescriptor(desc, CUDNN_DATA_FLOAT, dim,
+                                                   CudaNdarray_HOST_DIMS(var),
+                                                   strides);
+  	 									
+    
+    if (err != CUDNN_STATUS_SUCCESS) {
+      PyErr_Format(PyExc_RuntimeError,
+		  "Could not set tensorNd descriptor: %s"
+		  "dim=%d",
+		  cudnnGetErrorString(err), dim);
+		  
+	  return_value = -1;
+    }
+  } else {
+    PyErr_Format(PyExc_MemoryError,
+		"Could not allocate memory for strides array of size %d.",
+		dim);
+		
+    return_value = -1;  
   }
-
-  cudnnStatus_t err = cudnnSetTensorNdDescriptor(desc, CUDNN_DATA_FLOAT, dim,
-                                                 CudaNdarray_HOST_DIMS(var),
-                                                 strides);
-											
-
-  if (err != CUDNN_STATUS_SUCCESS) {
-    PyErr_Format(PyExc_RuntimeError,
-		 "Could not set tensorNd descriptor: %s"
-		 "dim=%d",
-		 cudnnGetErrorString(err), dim);
-    return_value = -1;
-  }
-
+    
   free(strides);
   return return_value;
 }