diff --git a/python/dune/codegen/sumfact/transformations.py b/python/dune/codegen/sumfact/transformations.py
index b7ab65cf80506fe107e117ee2bb06da2bee42eef..8319890b0284ff96c6a38990a50980894c200484 100644
--- a/python/dune/codegen/sumfact/transformations.py
+++ b/python/dune/codegen/sumfact/transformations.py
@@ -9,6 +9,7 @@ from dune.codegen.loopy.transformations.remove_reductions import remove_all_redu
 from dune.codegen.options import get_form_option, get_option
 from dune.codegen.pdelab.geometry import world_dimension
 from dune.codegen.error import CodegenAutotuneError
+from dune.codegen.sumfact.autotune import autotune_realization
 
 
 def move_zero_assignment_up(kernel, move_up_inames):
@@ -169,16 +170,46 @@ def reorder_loops_in_tensor_contraction(kernel, iname_order):
     return kernel
 
 
+def tensor_contraction_loop_order_generator(kernel):
+    dim = world_dimension()
+    assert dim == 3
+    yield kernel
+
+    indices = ['l', 'k', 'i', 'j']
+    import itertools
+    for loop_order in itertools.permutations(indices):
+        loop_order = ''.join(loop_order)
+        new_kernel = reorder_loops_in_tensor_contraction(kernel, loop_order)
+        yield new_kernel
+
+
+def simple_autotuner(kernel_generator, signature):
+    # palpo TODO
+    from dune.codegen.options import set_option
+    set_option("autotune_google_benchmark", True)
+
+    kernel = next(kernel_generator)
+    best_cost = autotune_realization(kernel=kernel, signature=signature)
+    best_kernel = kernel
+    for kernel in kernel_generator:
+        cost = autotune_realization(kernel=kernel, signature=signature)
+        if cost < best_cost:
+            best_cost = cost
+            best_kernel = kernel
+    return best_kernel
+
+
+def autotune_tensor_contraction_loop_order(kernel, signature):
+    from dune.codegen.loopy.transformations.matchfma import match_fused_multiply_add
+    kernel = match_fused_multiply_add(kernel)
+
+    generator = tensor_contraction_loop_order_generator(kernel)
+    return simple_autotuner(generator, signature)
+
+
 def sumfact_performance_transformations(kernel, signature):
     if kernel.name.startswith('sfimpl'):
-        # from dune.codegen.loopy.transformations.matchfma import match_fused_multiply_add
-        # kernel = match_fused_multiply_add(kernel)
-        # kernel = reorder_loops_in_tensor_contraction(kernel, 'ijlk')
-
-        # from dune.codegen.sumfact.autotune import autotune_realization
-        # from dune.codegen.options import set_option
-        # set_option("autotune_google_benchmark", True)
-        # test = autotune_realization(kernel=kernel, signature=signature)
+        # kernel = autotune_tensor_contraction_loop_order(kernel, signature)
 
         pass
     return kernel