Use utt.get_seed() to give a seed for every random generator.

theano/sandbox/linalg/tests/test_linalg.py

@@ -38,7 +38,7 @@ if 0:
     def test_cholesky():
         #TODO: test upper and lower triangular
         #todo: unittest randomseed
-        rng = numpy.random.RandomState(1234)
+        rng = numpy.random.RandomState(utt.fetch_seed())
 
         r = rng.randn(5,5)
 
@@ -60,8 +60,7 @@ if 0:
 
 
 def test_inverse_correctness():
-    #todo: unittest randomseed
-    rng = numpy.random.RandomState(12345)
+    rng = numpy.random.RandomState(utt.fetch_seed())
 
     r = rng.randn(4,4).astype(theano.config.floatX)
 
@@ -79,6 +78,9 @@ def test_inverse_correctness():
     assert _allclose(numpy.identity(4), rri), rri
 
 def test_inverse_grad():
+    rng = numpy.random.RandomState(utt.fetch_seed())
+    r = rng.randn(4, 4)
+    tensor.verify_grad(matrix_inverse, [r], rng=numpy.random)
 
     rng = numpy.random.RandomState(utt.fetch_seed())
 
@@ -136,7 +138,7 @@ def test_det_grad():
     # If scipy is not available, this test will fail, thus we skip it.
     if not use_scipy:
         raise SkipTest('Scipy is not available')
-    rng = numpy.random.RandomState(1234)
+    rng = numpy.random.RandomState(utt.fetch_seed())
 
     r = rng.randn(5,5)
     tensor.verify_grad(det, [r], rng=numpy.random)