Merge pull request #7 from jsalvatier/op_decorator

add tests for as_op decorator

theano/compile/__init__.py

@@ -2,7 +2,8 @@
         DeepCopyOp, deep_copy_op, register_deep_copy_op_c_code,
         Shape, shape, register_shape_c_code,
         Shape_i, register_shape_i_c_code,
-        ViewOp, view_op, register_view_op_c_code)
+        ViewOp, view_op, register_view_op_c_code, FromFunctionOp, 
+        as_op)
 
 from theano.compile.function_module import *
 

theano/tests/test_op_decorator.py

@@ -0,0 +1,66 @@
+"""
+ Tests for the Op decorator
+"""
+
+import unittest
+from theano.tests  import unittest_tools as utt
+from theano import function
+import theano
+from theano import tensor
+from theano.tensor import dmatrix, dvector
+import numpy as np 
+from numpy import allclose
+from theano.compile import as_op
+
+class OpDecoratorTests(unittest.TestCase): 
+    def test_1arg(self):
+        x = dmatrix('x')
+
+        @as_op(dmatrix, dvector)
+        def diag(x): 
+            return np.diag(x)
+
+        fn = function([x], diag(x))
+        r = fn([[1.5, 5],[2, 2]])
+        r0 = np.array([1.5, 2])
+
+        assert allclose(r, r0), (r, r0)
+
+    def test_2arg(self):
+        x = dmatrix('x')
+        x.tag.test_value=np.zeros((2,2))
+        y = dvector('y')
+        y.tag.test_value=[0,0]
+
+        @as_op([dmatrix, dvector], dvector)
+        def diag_mult(x, y): 
+            return np.diag(x) * y 
+
+        fn = function([x, y], diag_mult(x, y))
+        r = fn([[1.5, 5],[2, 2]], [1, 100])
+        r0 = np.array([1.5, 200])
+        print r
+
+        assert allclose(r, r0), (r, r0)
+
+    def test_infer_shape(self):
+        x = dmatrix('x')
+        x.tag.test_value=np.zeros((2,2))
+        y = dvector('y')
+        y.tag.test_value=[0,0]
+
+        def infer_shape(node, shapes):
+            x,y = shapes
+            return [y]
+
+        @as_op([dmatrix, dvector], dvector, infer_shape)
+        def diag_mult(x, y): 
+            return np.diag(x) * y 
+
+        fn = function([x, y], diag_mult(x, y).shape)
+        r = fn([[1.5, 5],[2, 2]], [1, 100])
+        r0 = (2,)
+        print r
+
+        assert allclose(r, r0), (r, r0)
+