diff --git a/ggml-alloc.c b/ggml-alloc.c
index c28c37c4f..d4123564f 100644
--- a/ggml-alloc.c
+++ b/ggml-alloc.c
@@ -551,7 +551,7 @@ static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgr
         }
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             if (graph->nodes[i]->src[j] == NULL) {
-                break;
+                continue;
             }
             if (graph->nodes[i]->src[j]->flags & GGML_TENSOR_FLAG_INPUT) {
                 ggml_gallocr_allocate_node(galloc, graph->nodes[i]->src[j], get_node_buffer_id(node_buffer_ids, i));
@@ -787,7 +787,7 @@ static bool ggml_gallocr_needs_realloc(ggml_gallocr_t galloc, struct ggml_cgraph
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             if (!ggml_gallocr_node_needs_realloc(galloc, src, node_alloc, &node_alloc->src[j])) {
 #ifndef NDEBUG
@@ -833,7 +833,7 @@ bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph)
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             ggml_gallocr_init_tensor(galloc, src, node_alloc, &node_alloc->src[j]);
         }
diff --git a/ggml-backend.c b/ggml-backend.c
index 87eea8440..41f413ca0 100644
--- a/ggml-backend.c
+++ b/ggml-backend.c
@@ -1040,7 +1040,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
     for (int i = 0; i < GGML_MAX_SRC; i++) {
         const struct ggml_tensor * src = tensor->src[i];
         if (src == NULL) {
-            break;
+            continue;
         }
         if (src->buffer != NULL && src->buffer->usage == GGML_BACKEND_BUFFER_USAGE_WEIGHTS) {
             int src_backend = ggml_backend_sched_backend_from_buffer(sched, src->buffer);
@@ -1087,7 +1087,7 @@ static void ggml_backend_sched_print_assignments(ggml_backend_sched_t sched, str
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             ggml_backend_t src_backend = tensor_backend(src);
             fprintf(stderr, " %20.20s (%5.5s) [%5.5s %8.8s]", src->name,
@@ -1143,7 +1143,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             if (tensor_backend_id(src) == -1) {
                 tensor_backend_id(src) = ggml_backend_sched_backend_id_from_cur(sched, src);
@@ -1255,7 +1255,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             int src_backend_id = tensor_backend_id(src);
             if (src_backend_id == -1) {
@@ -1314,7 +1314,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
             for (int j = 0; j < GGML_MAX_SRC; j++) {
                 struct ggml_tensor * src = node->src[j];
                 if (src == NULL) {
-                    break;
+                    continue;
                 }
                 int src_backend_id = tensor_backend_id(src);
                 assert(src_backend_id != -1); // all inputs should be assigned by now
@@ -1361,7 +1361,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (src == NULL) {
-                break;
+                continue;
             }
             ggml_backend_t src_backend = tensor_backend(src);
             if (src_backend != tensor_backend /* && src_backend != NULL */) {
@@ -1667,7 +1667,7 @@ static struct ggml_tensor * graph_copy_dup_tensor(struct ggml_hash_set hash_set,
     for (int i = 0; i < GGML_MAX_SRC; i++) {
         struct ggml_tensor * s = src->src[i];
         if (s == NULL) {
-            break;
+            continue;
         }
         dst->src[i] = graph_copy_dup_tensor(hash_set, node_copies, ctx_allocated, ctx_unallocated, s);
     }
@@ -1696,7 +1696,7 @@ static void graph_copy_init_tensor(struct ggml_hash_set hash_set, struct ggml_te
     for (int i = 0; i < GGML_MAX_SRC; i++) {
         struct ggml_tensor * s = src->src[i];
         if (s == NULL) {
-            break;
+            continue;
         }
         graph_copy_init_tensor(hash_set, node_copies, node_init, s);
     }