Commit b5cf8ce02 for llama.cpp

commit b5cf8ce02aaf95c15375e2ed97f273fa7e274f5c
Author: Georgi Gerganov <ggerganov@gmail.com>
Date:   Tue Sep 29 20:23:33 2026 +0300

    ggml : require input tensors to be GGML_OP_NONE (#29647)

diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c
index cdc10a759..7c931afb9 100644
--- a/ggml/src/ggml.c
+++ b/ggml/src/ggml.c
@@ -7992,6 +7992,7 @@ void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph
 ////////////////////////////////////////////////////////////////////////////////

 void ggml_set_input(struct ggml_tensor * tensor) {
+    GGML_ASSERT(tensor->op == GGML_OP_NONE);
     tensor->flags |= GGML_TENSOR_FLAG_INPUT;
 }

diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index 88851c6cb..439beabdf 100644
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -599,10 +599,7 @@ static int llama_graph_n_input_tensors(ggml_cgraph * gf) {
     }

     for (const auto & [tensor, nodes] : users) {
-        if (tensor->op != GGML_OP_NONE) {
-            LLAMA_LOG_WARN("%s: input tensor '%32s' has op %s, expected GGML_OP_NONE\n",
-                    __func__, tensor->name, ggml_op_name(tensor->op));
-        }
+        GGML_ASSERT(tensor->op == GGML_OP_NONE);
         for (const ggml_tensor * node : nodes) {
             LLAMA_LOG_DEBUG("%s: input tensor '%32s' [%s, ne = { %5" PRId64 ", %5" PRId64 ", %5" PRId64 ", %5" PRId64 " }] is used by node '%s' (%s)\n",
                     __func__, tensor->name, ggml_type_name(tensor->type),