Remove repeated tests

Author: jessegrabowski

pytensor/tensor/nlinalg.py

@@ -638,6 +638,7 @@ def L_op(
             # will be DisconnectedType, which have type(Variable). Matrices that are on the backwards compute path
             # have type TensorVariable. Thus, we replace Variables with zero matrices of the correct shapes.
             new_output_grads = []
+
             for output_grad, output in zip(output_grads, outputs):
                 if not isinstance(output_grad, ptb.TensorVariable):
                     new_output_grads.append(ptb.zeros_like(output))

tests/tensor/test_nlinalg.py

@@ -273,12 +273,11 @@ def svd_fn(A, case=0):
                 elif case == 6:
                     return U.sum() + s.sum() + V.sum()
 
-            for case in range(7):
-                utt.verify_grad(
-                    partial(svd_fn, case=gradient_test_case),
-                    [A_v],
-                    rng=rng,
-                )
+            utt.verify_grad(
+                partial(svd_fn, case=gradient_test_case),
+                [A_v],
+                rng=rng,
+            )
 
         else:
             utt.verify_grad(