added grad tests

_test_tensor.py

@@ -217,6 +217,9 @@ class T_transpose(unittest.TestCase):
         #test aliasing
         tval += 55.0
         self.failUnless(n.data[0,0,0] == 56.0)
+    def test_grad(self):
+        verify_grad(self, TransposeInplace, [numpy.random.rand(2, 3)])
+        verify_grad(self, TransposeInplace, [numpy.ones(3)])
 
 class T_subtensor(unittest.TestCase):
     def test0_err_invalid(self):
@@ -648,6 +651,9 @@ class t_dot(unittest.TestCase):
     def test_align_3_2(self): self.not_aligned(self.rand(5,4,3), self.rand(6,7))
     def test_align_3_3(self): self.not_aligned(self.rand(5,4,3), self.rand(6,7,8))
 
+    def test_grad(self):
+        verify_grad(self, Dot, [self.rand(2,3), self.rand(3,2)])
+
 class t_gemm(unittest.TestCase):
     def setUp(self):
         numpy.random.seed(44)

tensor.py

@@ -239,7 +239,7 @@ class TransposeInplace(_Op, Viewer):
         return [rval]
     def impl(self, x):
         return x.T #numpy's transpose
-    def grad(self, (x,), (gz),):
+    def grad(self, (x,), (gz,)):
         return transpose(gz),
     
     def c_code(self, (x, ), (z, ), sub):