made test less verbose

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -186,6 +186,7 @@ def test_elemwise_collapse():
 
     v = numpy.asarray(numpy.random.rand(shape[0],1,*shape[1:]),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -208,6 +209,7 @@ def test_elemwise_collapse2():
 
     v = numpy.asarray(numpy.random.rand(shape[0],5,*shape[1:]),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -230,6 +232,7 @@ def test_elemwise_collapse3():
 
     v = numpy.asarray(numpy.random.rand(5,shape[0],shape[1],4),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -252,6 +255,7 @@ def test_elemwise_collapse4():
 
     v = numpy.asarray(numpy.random.rand(5,shape[0],shape[1],4),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -259,7 +263,6 @@ def test_elemwise_collapse4():
     assert numpy.allclose(out,a.reshape(1,shape[0],shape[1],1)+v+2)
     print "Expected collapse to 3 dimensions"
 
-
 def test_elemwise_collapse5():
     """ Test when only one inputs have two broadcastable dimension at the beginning and we add a scalar"""
     
@@ -275,6 +278,7 @@ def test_elemwise_collapse5():
 
     v = numpy.asarray(numpy.random.rand(5,4,shape[0],shape[1]),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -295,6 +299,7 @@ def test_elemwise_collapse6():
 
     v = numpy.asarray(numpy.random.rand(1,1,shape[0],shape[1]),dtype='float32')
     v=cuda_ndarray.CudaNdarray(v)
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -313,7 +318,7 @@ def test_elemwise_collapse7(atol=1e-6):
     a3 = a2.dimshuffle(0, 'x', 1, 2)
     f = pfunc([], [a3+2])
 
-
+    if False:
         for id,n in enumerate(f.maker.env.toposort()):
             print id, n
     #let debugmode catch errors
@@ -321,5 +326,3 @@ def test_elemwise_collapse7(atol=1e-6):
     ans=(a+2).reshape(shape[0],1,shape[1],shape[2])
     assert numpy.allclose(out,ans, atol=atol)
     print "Expected collapse to c contiguous"
-
-