Make subtensor with list work as numpy

theano/tensor/tests/test_subtensor.py

@@ -315,6 +315,12 @@ class T_subtensor(unittest.TestCase, utt.TestOptimizationMixin):
         n = self.shared(numpy.arange(12, dtype=self.dtype).reshape((4, 3)))
         self.assertRaises(Exception, lambda: n[:(2L ** 63)])
 
+    def test_list_slice(self):
+        x = theano.tensor.arange(100).reshape((5, 5, 4))
+        res = x[[slice(1, -1)] * x.ndim].eval()
+        x = numpy.arange(100).reshape((5, 5, 4))
+        numpy.allclose(res, x[[slice(1, -1)] * x.ndim])
+
     def test_newaxis(self):
         """
         newaxis support comes from logic in the __getitem__ of TensorType

theano/tensor/var.py

@@ -355,7 +355,10 @@ class _tensor_py_operators:
 
     # SLICING/INDEXING
     def __getitem__(self, args):
-        if not isinstance(args, tuple):
+        if (isinstance(args, list) and
+                any([isinstance(a, slice) for a in args])):
+            pass
+        elif not isinstance(args, tuple):
             args = args,
         # Convert python literals to theano constants
         args = theano.tensor.subtensor.make_constant(args)