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authorKawrakow <48489457+ikawrakow@users.noreply.github.com>2024-07-27 07:55:01 +0200
committerGitHub <noreply@github.com>2024-07-27 07:55:01 +0200
commit154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch)
tree81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /ggml/src/llamafile/sgemm.h
parent0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff)
Merge mainline llama.cpp (#3)
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/llamafile/sgemm.h')
-rw-r--r--ggml/src/llamafile/sgemm.h14
1 files changed, 14 insertions, 0 deletions
diff --git a/ggml/src/llamafile/sgemm.h b/ggml/src/llamafile/sgemm.h
new file mode 100644
index 00000000..caf6dd55
--- /dev/null
+++ b/ggml/src/llamafile/sgemm.h
@@ -0,0 +1,14 @@
+#pragma once
+#include <stdint.h>
+#include <stdbool.h>
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+bool llamafile_sgemm(int64_t, int64_t, int64_t, const void *, int64_t,
+ const void *, int64_t, void *, int64_t, int, int,
+ int, int, int);
+
+#ifdef __cplusplus
+}
+#endif