提交 6a4a598b authored 作者: lamblin's avatar lamblin

Merge pull request #656 from nouiz/test_fix

Test fix
...@@ -262,9 +262,9 @@ def Rop(f, wrt, eval_points): ...@@ -262,9 +262,9 @@ def Rop(f, wrt, eval_points):
str(i) + str(i) +
' of wrt/eval_point have mismatched ' + ' of wrt/eval_point have mismatched ' +
'dimensionality: ' + 'dimensionality: ' +
str(wrt_dim) + str(wrt_elem.type.ndim) +
' versus ' + ' versus ' +
str(eval_dim)) str(eval_point.type.ndim))
except AttributeError: except AttributeError:
# wrt_elem and eval_point don't always have ndim like random type # wrt_elem and eval_point don't always have ndim like random type
# Tensor, Sparse and CudaNdArray have the ndim attribute # Tensor, Sparse and CudaNdArray have the ndim attribute
......
...@@ -197,6 +197,7 @@ if __name__ == "__main__": ...@@ -197,6 +197,7 @@ if __name__ == "__main__":
GTX285/3.0 0.40s GTX285/3.0 0.40s
C1060/3.2 0.46s C1060/3.2 0.46s
GTX550Ti/4.0 0.57s GTX550Ti/4.0 0.57s
520M/3.2 3.19s with bumblebee on Ubuntu 12.04
GT220/3.2RC 3.80s GT220/3.2RC 3.80s
GT210/4.0 6.35s GT210/4.0 6.35s
8500GT/3.0 10.68s 8500GT/3.0 10.68s
......
...@@ -2407,7 +2407,7 @@ class T_Scan(unittest.TestCase): ...@@ -2407,7 +2407,7 @@ class T_Scan(unittest.TestCase):
srng = theano.tensor.shared_randomstreams.RandomStreams(seed) srng = theano.tensor.shared_randomstreams.RandomStreams(seed)
sl_o = theano.tensor.tanh(theano.tensor.dot(_W, (_u + _y + \ sl_o = theano.tensor.tanh(theano.tensor.dot(_W, (_u + _y + \
srng.uniform(size=v_h0.shape) * srng.uniform(size=v_h0.shape) *
numpy.float32(1e-6)))) numpy.asarray(1e-6, dtype=floatX))))
return sl_o return sl_o
u = theano.tensor.matrix('U') u = theano.tensor.matrix('U')
......
...@@ -1268,7 +1268,8 @@ SecondSameRankTester = makeTester( ...@@ -1268,7 +1268,8 @@ SecondSameRankTester = makeTester(
multi_dtype_checks((4, 5), (5, 4)), multi_dtype_checks((4, 5), (5, 4)),
multi_dtype_checks((1, 5), (5, 4)), multi_dtype_checks((1, 5), (5, 4)),
)), )),
mode=get_default_mode().excluding('local_fill_to_alloc') mode=get_default_mode().excluding('local_fill_to_alloc',
'local_useless_fill')
) )
### Alloc ### Alloc
......
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