Use return_internal_type=True in compute_test_value of shared variables.

That way, we use the CudaNdarray, instead of transferring back and forth to the GPU, and the Gpu ops have CudaNdarrays as inputs, not numpy ndarrays or scalars.

Use return_internal_type=True in compute_test_value of shared variables.
f2c202db · Pascal Lamblin · 253dde5c · f2c202db
--- a/theano/gof/op.py
+++ b/theano/gof/op.py
@@ -335,7 +335,7 @@ class PureOp(object):
                if isinstance(ins, graph.Constant):
                    input_vals.append(ins.value)
                elif isinstance(ins,SharedVariable):
-                    input_vals.append(ins.get_value(borrow=True))
+                    input_vals.append(ins.get_value(borrow=True, return_internal_type=True))
                elif isinstance(ins,graph.Variable) and hasattr(ins.tag, 'test_value'):
                    # ensure that the test value is correct
                    input_vals.append(ins.type.filter(ins.tag.test_value))