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impl : use 6 digits for tensor dims (#20094)

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Many models have vocabulary sizes, and thus tensor shapes, with more
than 5 digits (ex: Gemma 3's vocab size is 262,208).

I already fixed this for `llama_format_tensor_shape` but missed it for
`llama_format_tensor_shape` until now. Oops.
This commit is contained in:
ddh0
2026-03-04 09:53:38 +01:00
committed by GitHub
parent cb8f4fa3f8
commit c99909dd0b
1 changed files with 2 additions and 2 deletions
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src/llama-impl.cpp
+2 -2
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@@ -100,9 +100,9 @@ std::string format(const char * fmt, ...) {
std::string llama_format_tensor_shape(const std::vector<int64_t> & ne) { std::string llama_format_tensor_shape(const std::vector<int64_t> & ne) {
char buf[256]; char buf[256];
snprintf(buf, sizeof(buf), "%5" PRId64, ne.at(0)); snprintf(buf, sizeof(buf), "%6" PRId64, ne.at(0));
for (size_t i = 1; i < ne.size(); i++) { for (size_t i = 1; i < ne.size(); i++) {
snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %5" PRId64, ne.at(i)); snprintf(buf + strlen(buf), sizeof(buf) - strlen(buf), ", %6" PRId64, ne.at(i));
} }
return buf; return buf;
} }