Move where we use the nvcc.fastmath flags from the CudaNdarrayType to the NVCC_compiler.

NEWS.txt

@@ -15,6 +15,7 @@ Since 0.5rc2
    This mean that now we recompile all modules for each value of "nvcc.flags".
    This do use change the default, but if you used this flags, it was ignored
    for module already compiled.
+ * The Theano flag "nvcc.fastmath" is now also used for the cuda_ndarray.cu file.
 
 =============
 Release Notes

theano/sandbox/cuda/nvcc_compiler.py

@@ -81,6 +81,8 @@ class NVCC_compiler():
         They will also be included in the "hard" part of the key module.
         """
         flags = [flag for flag in config.nvcc.flags.split(' ') if flag]
+        if config.nvcc.fastmath:
+            flags.append('-use_fast_math')
         return flags
 #        cuda_ndarray_cuh_hash = hash_from_file(
 #            os.path.join(os.path.split(__file__)[0], 'cuda_ndarray.cuh'))

theano/sandbox/cuda/type.py

@@ -373,10 +373,7 @@ class CudaNdarrayType(Type):
         return NVCC_compiler
 
     def c_compile_args(self):
-        ret = []
-        if config.nvcc.fastmath:
-            ret.append('-use_fast_math')
-        return ret
+        return []
 
 
 # Register CudaNdarrayType to the OutputGuard list of known types