Commit bdeb855b3 for llama.cpp

commit bdeb855b30dfe7f6e695cba98445a7ba09e6416e
Author: Adrien Gallouët <angt@huggingface.co>
Date:   Wed Sep 30 15:14:45 2026 +0200

    ggml-et : remove useless alloca() (#29663)

    Signed-off-by: Adrien Gallouët <angt@huggingface.co>

diff --git a/ggml/src/ggml-et/ggml-et.cpp b/ggml/src/ggml-et/ggml-et.cpp
index 61c31d6f2..755077fad 100644
--- a/ggml/src/ggml-et/ggml-et.cpp
+++ b/ggml/src/ggml-et/ggml-et.cpp
@@ -15,6 +15,7 @@
 #include <cstdio>
 #include <cstdlib>
 #include <cstring>
+#include <string>
 #include <vector>

 #if __has_include(<filesystem>)
@@ -32,9 +33,7 @@ namespace fs = std::experimental::filesystem;
  * @brief prints the metadata of a single tensorf
  */
 static void ggml_et_dump_tensor_metadata(const ggml_tensor * ggtensor, size_t indent_level, const char * title) {
-    char * spaces = (char *) alloca(indent_level + 1);
-    memset(spaces, ' ', indent_level);
-    spaces[indent_level] = '\0';
+    std::string spaces(indent_level, ' ');
     fprintf(stderr,
             "%s%s: %s\n"
             "%s  type: %s\n"
@@ -43,10 +42,10 @@ static void ggml_et_dump_tensor_metadata(const ggml_tensor * ggtensor, size_t in
             "%s  op: %s\n"
             "%s  data: %p\n"
             "%s  src0: %p\n",
-            spaces, title, ggtensor->name, spaces, ggml_type_name(ggtensor->type), spaces, (long long) ggtensor->ne[0],
-            (long long) ggtensor->ne[1], (long long) ggtensor->ne[2], (long long) ggtensor->ne[3], spaces,
-            ggtensor->nb[0], ggtensor->nb[1], ggtensor->nb[2], ggtensor->nb[3], spaces, ggml_op_name(ggtensor->op),
-            spaces, ggtensor->data, spaces, (void *) ggtensor->src[0]);
+            spaces.c_str(), title, ggtensor->name, spaces.c_str(), ggml_type_name(ggtensor->type), spaces.c_str(), (long long) ggtensor->ne[0],
+            (long long) ggtensor->ne[1], (long long) ggtensor->ne[2], (long long) ggtensor->ne[3], spaces.c_str(),
+            ggtensor->nb[0], ggtensor->nb[1], ggtensor->nb[2], ggtensor->nb[3], spaces.c_str(), ggml_op_name(ggtensor->op),
+            spaces.c_str(), ggtensor->data, spaces.c_str(), (void *) ggtensor->src[0]);
 }

 /*