Fix typos

theano/gpuarray/c_code/dnn_conv_base.c

@@ -3,7 +3,7 @@ cudnnTensorDescriptor_t APPLY_SPECIFIC(input);
 cudnnTensorDescriptor_t APPLY_SPECIFIC(output);
 cudnnFilterDescriptor_t APPLY_SPECIFIC(kerns);
 
-static int c_check_groups_for_conv(cudnnConvolutionDescriptor_t desc, int groups) {
+static int c_get_groups_for_conv(cudnnConvolutionDescriptor_t desc, int groups) {
 #if CUDNN_MAJOR >= 7
   int desc_groups;
   if (groups > 1) {
@@ -83,7 +83,7 @@ typedef std::unordered_map<std::string, AlgoRec> AlgoCache;
 #endif
 #include "pthread.h"
 
-#line 73 "dnn_conv_base.c"
+#line 87 "dnn_conv_base.c"
 
 pthread_mutex_t  algoMutex;
 AlgoCache        algoCache;

theano/gpuarray/c_code/dnn_fwd.c

@@ -167,7 +167,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
     return 0;
   }
 
-  int groups = c_check_groups_for_conv(desc, params->num_groups);
+  int groups = c_get_groups_for_conv(desc, params->num_groups);
   if (groups == -1)
     return 1;
   if (c_set_tensor_for_conv(input, APPLY_SPECIFIC(input), groups) == -1)

theano/gpuarray/c_code/dnn_gi.c

@@ -132,7 +132,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
     return 0;
   }
 
-  int groups = c_check_groups_for_conv(desc, params->num_groups);
+  int groups = c_get_groups_for_conv(desc, params->num_groups);
   if (groups == -1)
     return 1;
   if (c_set_tensor_for_conv(output, APPLY_SPECIFIC(output), groups) == -1)

theano/gpuarray/c_code/dnn_gw.c

@@ -119,7 +119,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
     return 0;
   }
 
-  int groups = c_check_groups_for_conv(desc, params->num_groups);
+  int groups = c_get_groups_for_conv(desc, params->num_groups);
   if (groups == -1)
     return 1;
   if (c_set_tensor_for_conv(input, APPLY_SPECIFIC(input), groups) == -1)