Merge pull request #703 from nouiz/small

theano/scan_module/tests/test_scan.py

@@ -312,7 +312,8 @@ class T_Scan(unittest.TestCase):
         nodes = [x for x in my_f.maker.env.toposort()
                  if isinstance(x.op, theano.scan_module.scan_op.Scan)]
         # This assertation fails if savemem optimization failed on scan
-        assert nodes[0].op._scan_savemem_visited
+        if theano.config.mode != "FAST_COMPILE":
+            assert nodes[0].op._scan_savemem_visited
         rng = numpy.random.RandomState(utt.fetch_seed())
         my_f(rng.uniform(size=(3,)),
              4,

theano/tensor/basic.py

@@ -3508,7 +3508,10 @@ def transpose(x, axes=None):
     """
     if axes is None:
         axes = range((x.ndim - 1), -1, -1)
-    return DimShuffle(x.broadcastable, axes, inplace=False)(x)
+    ret = DimShuffle(x.broadcastable, axes, inplace=False)(x)
+    if x.name and axes == range((x.ndim - 1), -1, -1):
+        ret.name = x.name + '.T'
+    return ret
 
 
 class AdvancedIndexingError(TypeError):

theano/tensor/tests/test_basic.py

@@ -5841,9 +5841,9 @@ class test_numpy_assumptions(unittest.TestCase):
 
 
 def test_transpose():
-    x1 = tensor.dvector()
-    x2 = tensor.dmatrix()
-    x3 = tensor.dtensor3()
+    x1 = tensor.dvector('x1')
+    x2 = tensor.dmatrix('x2')
+    x3 = tensor.dtensor3('x3')
 
     x1v = numpy.arange(24)
     x2v = numpy.arange(24).reshape(2, 12)
@@ -5881,6 +5881,12 @@ def test_transpose():
     assert numpy.all(t2d == numpy.transpose(x2v, [0, 1]))
     assert numpy.all(t3d == numpy.transpose(x3v, [0, 2, 1]))
 
+    # Check that we create a name.
+    assert tensor.transpose(x1).name == 'x1.T'
+    assert tensor.transpose(x2).name == 'x2.T'
+    assert tensor.transpose(x3).name == 'x3.T'
+    assert tensor.transpose(tensor.dmatrix()).name == None
+
 
 if __name__ == '__main__':
     if 0: