diff --git a/lib/nnc/ccv_nnc_symbolic_graph_compile.c b/lib/nnc/ccv_nnc_symbolic_graph_compile.c
index 2c0c85d8c..1d4ec8ad9 100644
--- a/lib/nnc/ccv_nnc_symbolic_graph_compile.c
+++ b/lib/nnc/ccv_nnc_symbolic_graph_compile.c
@@ -2069,7 +2069,7 @@ static void _ccv_nnc_exec_dep_and_tensor_blocks_prep(const ccv_nnc_symbolic_grap
 		ccv_sparse_matrix_vector_t* vector = ccv_get_sparse_matrix_vector(exec_dep, idx);
 		if (vector)
 			CCV_SPARSE_VECTOR_FOREACH(exec_dep, vector, for_block);
-		if (!node->outgoings || term)
+		if (!node->outgoings)
 			continue;
 		for (i = 0; i < node->outgoings->rnum; i++)
 		{
diff --git a/test/unit/nnc/autograd.tests.c b/test/unit/nnc/autograd.tests.c
index 9a450c45d..34b1eede6 100644
--- a/test/unit/nnc/autograd.tests.c
+++ b/test/unit/nnc/autograd.tests.c
@@ -34,7 +34,7 @@ TEST_CASE("simple autograd with D[x * x + Log[1 / x], x] when x = 0.84")
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dx = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, x);
 	ccv_nnc_graph_exec_symbol_t dxc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dx);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(prod, inv), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(z, dx), GRAPH_EXEC_SYMBOL_LIST(prod, inv), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tone = ccv_nnc_tensor_from_symbol(tensor_arena, one);
@@ -70,7 +70,7 @@ TEST_CASE("autograd with D[y, x] when x = 10 and y = 1 (no x presence in the for
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dx = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, x);
 	ccv_nnc_graph_exec_symbol_autogen(symbolic_graph, 0, 0, CCV_NNC_AUTOGEN_SOURCES_AND_DESTINATIONS);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, ccv_nnc_symbolic_graph_sources(symbolic_graph), ccv_nnc_symbolic_graph_source_size(symbolic_graph), ccv_nnc_symbolic_graph_destinations(symbolic_graph), ccv_nnc_symbolic_graph_destination_size(symbolic_graph), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(dx), ccv_nnc_symbolic_graph_sources(symbolic_graph), ccv_nnc_symbolic_graph_source_size(symbolic_graph), ccv_nnc_symbolic_graph_destinations(symbolic_graph), ccv_nnc_symbolic_graph_destination_size(symbolic_graph), &graph, &tensor_arena, &graph_exec_arena);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tx = ccv_nnc_tensor_from_symbol(tensor_arena, x);
 	if (tx)
@@ -118,7 +118,7 @@ TEST_CASE("autograd with D[(x - y) * (x + 1), [x, y]] when x = 43.24 and y = 0.3
 	ccv_nnc_graph_exec_symbol_t dxc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dx);
 	ccv_nnc_tensor_symbol_t dy = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, y);
 	ccv_nnc_graph_exec_symbol_t dyc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dy);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(minus, plus), GRAPH_EXEC_SYMBOL_LIST(dxc, dyc, prod), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(v, dx, dy), GRAPH_EXEC_SYMBOL_LIST(minus, plus), GRAPH_EXEC_SYMBOL_LIST(dxc, dyc, prod), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tone = ccv_nnc_tensor_from_symbol(tensor_arena, one);
@@ -169,7 +169,7 @@ TEST_CASE("partial autograd with D[y * x + Log[1 / x], y] when x = 0.84 and y =
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dy = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, y);
 	ccv_nnc_graph_exec_symbol_t dyc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dy);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(prod, inv), GRAPH_EXEC_SYMBOL_LIST(dyc, sum), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(z, dy), GRAPH_EXEC_SYMBOL_LIST(prod, inv), GRAPH_EXEC_SYMBOL_LIST(dyc, sum), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_graph_set_default_static_schedule(graph, CCV_STREAM_CONTEXT_CPU, 0);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
diff --git a/test/unit/nnc/autograd.vector.tests.c b/test/unit/nnc/autograd.vector.tests.c
index c063904c4..1b205a057 100644
--- a/test/unit/nnc/autograd.vector.tests.c
+++ b/test/unit/nnc/autograd.vector.tests.c
@@ -39,7 +39,7 @@ TEST_CASE("autograd with D[y = x + [1 1.5] => x_1 + (y_1 + y_1 ^ 2) + Exp[y_2],
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dx = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, x);
 	ccv_nnc_graph_exec_symbol_t dxc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dx);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(plus), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(v, dx), GRAPH_EXEC_SYMBOL_LIST(plus), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tone = ccv_nnc_tensor_from_symbol(tensor_arena, one);
@@ -92,7 +92,7 @@ TEST_CASE("autograd with D[y_1 = Log[x_1], y_2 = x_2 ^ 2 => y_1 ^ 2 + y_1 * y_2,
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dx = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, x);
 	ccv_nnc_graph_exec_symbol_t dxc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dx);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(plus, x_1_sqr), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(v, dx), GRAPH_EXEC_SYMBOL_LIST(plus, x_1_sqr), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tx = ccv_nnc_tensor_from_symbol(tensor_arena, x);
@@ -136,7 +136,7 @@ TEST_CASE("autograd with D[y_1 = Log[x_1] => y_1 ^ 2 + y_1, x] when x = [0.21 -1
 	ccv_nnc_graph_exec_arena_t* graph_exec_arena = 0;
 	ccv_nnc_tensor_symbol_t dx = ccv_nnc_tensor_symbol_for_backward(symbolic_graph, x);
 	ccv_nnc_graph_exec_symbol_t dxc = ccv_nnc_graph_exec_symbol_for_backward(symbolic_graph, dx);
-	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, 0, 0, GRAPH_EXEC_SYMBOL_LIST(plus), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
+	ccv_nnc_symbolic_graph_compile(symbolic_graph, ccv_nnc_default_compile_params, 0, 0, TENSOR_SYMBOL_LIST(v, dx), GRAPH_EXEC_SYMBOL_LIST(plus), GRAPH_EXEC_SYMBOL_LIST(dxc, sum), &graph, &tensor_arena, &graph_exec_arena);
 	SYMBOLIC_GRAPH_GEN(symbolic_graph, CCV_NNC_LONG_DOT_GRAPH);
 	GRAPH_GEN(graph, CCV_NNC_LONG_DOT_GRAPH);
 	ccv_nnc_tensor_t* tx = ccv_nnc_tensor_from_symbol(tensor_arena, x);