Iterate over node.inputs, so they are already casted as Variables.

This removes the need for a special 'ndarray' case, and should generalize to Python and numpy numeric types, as well as CudaNdarray, and even other types.

Iterate over node.inputs, so they are already casted as Variables.
0011ec8a · Pascal Lamblin · 3e1516a9 · 0011ec8a
--- a/theano/gof/op.py
+++ b/theano/gof/op.py
@@ -331,11 +331,9 @@ class PureOp(object):
            # build test input-values
            input_vals = []
-            for ins in inputs:
+            for ins in node.inputs:
                if isinstance(ins, graph.Constant):
                    input_vals.append(ins.value)
-                elif isinstance(ins,numpy.ndarray):
-                    input_vals.append(ins)
                elif isinstance(ins,SharedVariable):
                    input_vals.append(ins.get_value(borrow=True))
                elif isinstance(ins,graph.Variable) and hasattr(ins.tag, 'test_value'):