Just standardize `c_set_math_type_for_conv()`.

theano/gpuarray/c_code/dnn_conv_base.c

@@ -37,7 +37,7 @@ static int c_set_math_type_for_conv(cudnnConvolutionDescriptor_t desc, cudnnMath
     return -1;
   }
 #endif
-  return 1;
+  return 0;
 }
 
 #section init_code_struct

theano/gpuarray/c_code/dnn_fwd.c

@@ -191,7 +191,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
 
   size_t maxfree = c_get_largest_free_block_size(c);
   if (PyErr_Occurred()) return 1;
-  
+
   if (params->choose_algo) {
 
     if (!reuse_algo) {
@@ -286,7 +286,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
       }
     }
   }
-  
+
   if (c_set_math_type_for_conv(desc, mathtype) == -1 ||
       dnn_conv_fwd_fallback(&algo, input, kerns, desc) != 0) {
     cuda_exit(c->ctx);

theano/gpuarray/c_code/dnn_gi.c

@@ -192,7 +192,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
 
         // set the 'tensor math ok' flag
         c_set_math_type_for_conv(desc, CUDNN_TENSOR_OP_MATH);
-        
+
         tmpmem = gpudata_alloc(c->ctx, maxfree, NULL, 0, NULL);
         if (tmpmem == NULL) {
           PyErr_SetString(PyExc_MemoryError, "Could not allocate working GPU memory");
@@ -251,7 +251,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
       }
     }
   }
-  
+
   if (c_set_math_type_for_conv(desc, mathtype) == -1 ||
       dnn_conv_gi_fallback(&algo, *input, kerns, desc) != 0) {
     cuda_exit(c->ctx);
@@ -320,7 +320,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
   if (params->choose_once) {
     reuse_algo = 1;
   }
-  
+
   gpudata *workspace = 0;
   if (worksize != 0) {
     workspace = gpudata_alloc(c->ctx, worksize, NULL, 0, NULL);

theano/gpuarray/c_code/dnn_gw.c

@@ -176,7 +176,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
         int count;
         cudnnConvolutionBwdFilterAlgoPerf_t choice;
         gpudata *tmpmem;
-        
+
         // set the 'tensor math ok' flag
         c_set_math_type_for_conv(desc, CUDNN_TENSOR_OP_MATH);
 
@@ -241,7 +241,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
       }
     }
   } /* choose_algo */
-  
+
   if (c_set_math_type_for_conv(desc, mathtype) == -1 ||
       dnn_conv_gw_fallback(&algo, input, *kerns, desc) != 0) {
     cuda_exit(c->ctx);
@@ -310,9 +310,9 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
   if (params->choose_once) {
     reuse_algo = 1;
   }
-  
+
   gpudata *workspace = 0;
-  
+
   if (worksize != 0) {
     workspace = gpudata_alloc(c->ctx, worksize, NULL, 0, NULL);
     if (workspace == NULL) {