expectedFailure_fast added to 5 tests

theano/scan_module/tests/test_scan.py

@@ -886,6 +886,7 @@ class T_Scan(unittest.TestCase):
         utt.assert_allclose(numpy_out, theano_out)
 
     # simple rnn ; compute inplace version 1
+    @utt.expectedFailure_fast
     def test_inplace1(self):
         rng = np.random.RandomState(utt.fetch_seed())
         vW = asarrayX(np.random.uniform())
@@ -950,6 +951,7 @@ class T_Scan(unittest.TestCase):
         utt.assert_allclose(theano_x1, numpy_x1)
 
     # simple rnn ; compute inplace version 2
+    @utt.expectedFailure_fast
     def test_inplace2(self):
         rng = np.random.RandomState(utt.fetch_seed())
         vW = asarrayX(np.random.uniform())
@@ -1021,6 +1023,7 @@ class T_Scan(unittest.TestCase):
         utt.assert_allclose(theano_x0, numpy_x0)
         utt.assert_allclose(theano_x1, numpy_x1)
 
+    @utt.expectedFailure_fast
     def test_inplace3(self):
         rng = np.random.RandomState(utt.fetch_seed())
 

theano/tensor/tests/test_blas.py

@@ -529,6 +529,7 @@ def test_gemm_opt0():
     just_gemm([X, Y, Z, a, b], [Z - a * b * a * T.dot(X, Y)])
 
 
+@attr.expectedFailure_fast
 def test_gemm_opt_double_gemm():
     # This is the pattern that shows up in the autoencoder
     X, Y, Z, a, b = T.matrix(), T.matrix(), T.matrix(), T.scalar(), T.scalar()

theano/tensor/tests/test_opt.py

@@ -1367,6 +1367,7 @@ class TestCompositeCodegen(unittest.TestCase):
         utt.assert_allclose(f([[1.]]), [[0.]])
 
 
+@utt.expectedFailure_fast
 def test_log1p():
     m = theano.config.mode
     if m == 'FAST_COMPILE':