Prevent function redefinition in C code for dimshuffle.

theano/gpuarray/c_code/dimshuffle.c

 #section support_code_apply
 
-int gpu_dimshuffle(PyGpuArrayObject* input, PyGpuArrayObject** out, PARAMS_TYPE* params) {
+int APPLY_SPECIFIC(gpu_dimshuffle)(PyGpuArrayObject* input, PyGpuArrayObject** out, PARAMS_TYPE* params) {
     PyGpuArrayObject *tmp = NULL;
     npy_intp nd_in = PyArray_SIZE(params->input_broadcastable);
     npy_intp nd_out = PyArray_SIZE(params->_new_order);

theano/gpuarray/elemwise.py

@@ -409,7 +409,7 @@ class GpuDimShuffle(DimShuffle):
 
     """
     _f16_ok = True
-    c_func_name = 'gpu_dimshuffle'
+    c_func_name = 'APPLY_SPECIFIC(gpu_dimshuffle)'
 
     def make_node(self, input):
         ctx_name = infer_context_name(input)

theano/tensor/c_code/dimshuffle.c

 #section support_code_apply
 
-int cpu_dimshuffle(PyArrayObject* input, PyArrayObject** res, PARAMS_TYPE* params) {
+int APPLY_SPECIFIC(cpu_dimshuffle)(PyArrayObject* input, PyArrayObject** res, PARAMS_TYPE* params) {
     npy_bool* input_broadcastable;
     npy_int64* new_order;
     npy_intp nd_in;

theano/tensor/elemwise.py

@@ -131,7 +131,7 @@ class DimShuffle(COp):
     check_input = False
     __props__ = ("input_broadcastable", "new_order", "inplace")
     c_func_file = 'c_code/dimshuffle.c'
-    c_func_name = 'cpu_dimshuffle'
+    c_func_name = 'APPLY_SPECIFIC(cpu_dimshuffle)'
 
     @property
     def params_type(self):