fix cuda tests in FAST_COMPILE. Too many gpu op don't implement the perform methode.

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -19,8 +19,12 @@ import theano.sandbox.cuda as cuda
 import theano.compile.mode
 from theano.tests import unittest_tools as utt
 
-mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
-mode_without_gpu = theano.compile.mode.get_default_mode().excluding('gpu')
+if theano.config.mode=='FAST_COMPILE':
+    mode_with_gpu = theano.compile.mode.get_mode('FAST_RUN').including('gpu')
+    mode_without_gpu = theano.compile.mode.get_mode('FAST_RUN').excluding('gpu')
+else:
+    mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
+    mode_without_gpu = theano.compile.mode.get_default_mode().excluding('gpu')
 
 def tes_use():
     tcn.use()

theano/sandbox/cuda/tests/test_blas.py

@@ -17,7 +17,11 @@ from theano.tensor.signal.downsample import DownsampleFactorMax
 
 import theano.compile.mode
 
-mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
+
+if theano.config.mode=='FAST_COMPILE':
+    mode_with_gpu = theano.compile.mode.get_mode('FAST_RUN').including('gpu')
+else:
+    mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
 
 def my_rand(*shape):
     return theano._asarray(numpy.random.rand(*shape),dtype='float32')

theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py

@@ -7,7 +7,13 @@ from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.cuda_available == False:
     raise SkipTest('Optional package cuda disabled')
-    
+
+#needed as the gpu conv don't have a perform implementation.
+if theano.config.mode=='FAST_COMPILE':
+    theano_mode = theano.compile.mode.get_mode('FAST_RUN').including('gpu')
+else:
+    theano_mode = theano.compile.mode.get_default_mode().including('gpu')
+
 cuda_tensor4 = cuda_ndarray.CudaNdarrayType([False]*4)
 
 def py_conv_valid_numpy(img, kern):
@@ -86,7 +92,7 @@ def _params_allgood(ishape, kshape, mode, subsample=(1,1), img_stride=(1,1), ker
         i = cuda_tensor4()
         k = cuda_tensor4()
         op = theano.sandbox.cuda.blas.GpuConv(border_mode=mode,subsample=subsample, version=version, verbose=verbose)(i,k)
-        f=theano.function([i,k],op)
+        f=theano.function([i,k],op, mode=theano_mode)
         gpuval = f(img,kern)
         t2 = time.time()
         for i in range(nb_iter):

theano/sandbox/cuda/tests/test_opt.py

@@ -13,7 +13,10 @@ if cuda_ndarray.cuda_available == False:
 
 import theano.compile.mode
 
-mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
+if theano.config.mode=='FAST_COMPILE':
+    mode_with_gpu = theano.compile.mode.get_mode('FAST_RUN').including('gpu')
+else:
+    mode_with_gpu = theano.compile.mode.get_default_mode().including('gpu')
 
 import theano.sandbox.cuda as cuda