cuda init: moved printing of active device to .cu file

theano/sandbox/cuda/__init__.py

@@ -173,9 +173,6 @@ def use(device, force=False, default_to_move_computation_to_gpu = True,
         try:
             if device !='gpu':
                 gpu_init(device)
-            else:
-                #warning To let people see that the gpu will be used.
-                _logger.warn("We let the driver select the gpu device to use")
 
             if move_shared_float32_to_gpu:
                 handle_shared_float32(True)

theano/sandbox/cuda/cuda_ndarray.cu

@@ -1918,7 +1918,7 @@ CudaNdarray_gpu_init(PyObject* _unused, PyObject* args)
   }
 
   if(card_number_provided) {
-    fprintf(stderr, "Using gpu device %d: %s\n", card_nb, deviceProp.name);
+      fprintf(stderr, "DEBUG: calling cudaSetDevice %i\n", card_nb);
 
     err = cudaSetDevice(card_nb);
     if(cudaSuccess != err) {
@@ -1928,6 +1928,7 @@ CudaNdarray_gpu_init(PyObject* _unused, PyObject* args)
                           cudaGetErrorString(cudaGetLastError()));
     }
   }
+  fprintf(stderr, "Using gpu device %d: %s\n", card_nb, deviceProp.name);
 
   Py_INCREF(Py_None);
   return Py_None;