make the Convolution use all needed compilation option when it use gemm.…

theano/tensor/nnet/conv.py

@@ -848,9 +848,39 @@ class ConvOp(Op):
 using namespace std;
 """ + tensor.blas.blas_header_text()
 
+    def use_blas(self):
+        """ Return True if we will generate code that use gemm.
+        """
+        #the gemm version only support that case
+        if self.out_mode == 'valid' and self.dx==0 and self.dy==0:
+            #We use a faster version in those case.
+            if (self.imshp != self.imshp_logical or self.kshp != self.kshp_logical
+                or self.unroll_patch or self.unroll_batch>0 or self.unroll_kern>0):
+                return False
+            return True
+        return False
+
+
     def c_libraries(self):
-        return tensor.blas.ldflags()
+        if self.use_blas():
+            return tensor.blas.ldflags()
+        return []
 
+    def c_compile_args(self):
+        if self.use_blas():
+            return tensor.blas.ldflags(libs=False, flags=True)
+        return []
+
+    def c_lib_dirs(self):
+        if self.use_blas():
+            return tensor.blas.ldflags(libs=False, libs_dir=True)
+        return []
+    
+    def c_header_dirs(self):
+        if self.use_blas():
+            return tensor.blas.ldflags(libs=False, include_dir=True)
+        return []
+        
     def c_code(self, node, name, (img2d, filtersflipped), (z, ), sub):
         if node.inputs[0].type.dtype != node.inputs[1].type.dtype:
             raise NotImplementedError()