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| author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-07-27 07:55:01 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-07-27 07:55:01 +0200 |
| commit | 154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch) | |
| tree | 81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /src/llama-impl.h | |
| parent | 0684c3e9c70d49323b4fc517128cbe222cab7f96 (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 'src/llama-impl.h')
| -rw-r--r-- | src/llama-impl.h | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/src/llama-impl.h b/src/llama-impl.h new file mode 100644 index 00000000..dcc8c1c1 --- /dev/null +++ b/src/llama-impl.h @@ -0,0 +1,26 @@ +#pragma once + +#define LLAMA_API_INTERNAL +#include "llama.h" + +#ifdef __GNUC__ +#ifdef __MINGW32__ +#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__))) +#else +#define LLAMA_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__))) +#endif +#else +#define LLAMA_ATTRIBUTE_FORMAT(...) +#endif + +// +// logging +// + +LLAMA_ATTRIBUTE_FORMAT(2, 3) +void llama_log_internal (ggml_log_level level, const char * format, ...); +void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data); + +#define LLAMA_LOG_INFO(...) llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__) +#define LLAMA_LOG_WARN(...) llama_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__) +#define LLAMA_LOG_ERROR(...) llama_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__) |