Flake8 + comments.

theano/tensor/tests/test_nlinalg.py

@@ -404,7 +404,7 @@ class test_Eig(utt.InferShapeTester):
         self.rng = numpy.random.RandomState(utt.fetch_seed())
         self.A = theano.tensor.matrix(dtype=self.dtype)
         self.X = numpy.asarray(self.rng.rand(5, 5),
-                          dtype=self.dtype)
+                               dtype=self.dtype)
         self.S = self.X.dot(self.X.T)
 
     def test_infer_shape(self):
@@ -440,6 +440,8 @@ class test_Eigh(test_Eig):
 
     def test_grad(self):
         X = self.X
+        # We need to do the dot inside the graph because Eigh needs a
+        # matrix that is hermitian
         utt.verify_grad(lambda x: self.op(x.dot(x.T))[0], [X], rng=self.rng)
         utt.verify_grad(lambda x: self.op(x.dot(x.T))[1], [X], rng=self.rng)
         utt.verify_grad(lambda x: self.op(x.dot(x.T), 'U')[0], [X], rng=self.rng)

theano/tensor/tests/test_slinalg.py

@@ -74,6 +74,9 @@ def test_cholesky_grad():
         raise SkipTest("Scipy needed for the Cholesky op.")
     rng = numpy.random.RandomState(utt.fetch_seed())
     r = rng.randn(5, 5).astype(config.floatX)
+
+    # The dots are inside the graph since Cholesky needs separable matrices
+
     # Check the default.
     yield (lambda: utt.verify_grad(lambda r: cholesky(r.dot(r.T)),
                                    [r], 3, rng))