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https://github.com/ggml-org/llama.cpp.git
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91 lines
3.9 KiB
C
91 lines
3.9 KiB
C
#pragma once
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#include "ggml.h" // for ggml_log_level
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#ifndef __GNUC__
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# define LOG_ATTRIBUTE_FORMAT(...)
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#elif defined(__MINGW32__)
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# define LOG_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
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#else
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# define LOG_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
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#endif
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#define LOG_DEFAULT_DEBUG 1
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#define LOG_DEFAULT_LLAMA 0
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// needed by the LOG_TMPL macro to avoid computing log arguments if the verbosity lower
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// set via gpt_log_set_verbosity()
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extern int gpt_log_verbosity_thold;
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void gpt_log_set_verbosity_thold(int verbosity); // not thread-safe
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// the gpt_log uses an internal worker thread to print/write log messages
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// when the worker thread is paused, incoming log messages are discarded
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struct gpt_log;
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struct gpt_log * gpt_log_init();
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struct gpt_log * gpt_log_main(); // singleton, automatically destroys itself on exit
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void gpt_log_pause (struct gpt_log * log); // pause the worker thread, not thread-safe
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void gpt_log_resume(struct gpt_log * log); // resume the worker thread, not thread-safe
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void gpt_log_free (struct gpt_log * log);
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LOG_ATTRIBUTE_FORMAT(3, 4)
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void gpt_log_add(struct gpt_log * log, enum ggml_log_level level, const char * fmt, ...);
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// defaults: file = NULL, colors = false, prefix = false, timestamps = false
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//
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// regular log output:
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//
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// ggml_backend_metal_log_allocated_size: allocated buffer, size = 6695.84 MiB, ( 6695.91 / 21845.34)
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// llm_load_tensors: ggml ctx size = 0.27 MiB
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// llm_load_tensors: offloading 32 repeating layers to GPU
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// llm_load_tensors: offloading non-repeating layers to GPU
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//
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// with prefix = true, timestamps = true, the log output will look like this:
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//
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// 0.00.035.060 D ggml_backend_metal_log_allocated_size: allocated buffer, size = 6695.84 MiB, ( 6695.91 / 21845.34)
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// 0.00.035.064 I llm_load_tensors: ggml ctx size = 0.27 MiB
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// 0.00.090.578 I llm_load_tensors: offloading 32 repeating layers to GPU
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// 0.00.090.579 I llm_load_tensors: offloading non-repeating layers to GPU
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//
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// I - info (stdout, V = 0)
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// W - warning (stderr, V = 0)
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// E - error (stderr, V = 0)
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// D - debug (stderr, V = LOG_DEFAULT_DEBUG)
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//
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void gpt_log_set_file (struct gpt_log * log, const char * file); // not thread-safe
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void gpt_log_set_colors (struct gpt_log * log, bool colors); // not thread-safe
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void gpt_log_set_prefix (struct gpt_log * log, bool prefix); // whether to output prefix to each log
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void gpt_log_set_timestamps(struct gpt_log * log, bool timestamps); // whether to output timestamps in the prefix
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// helper macros for logging
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// use these to avoid computing log arguments if the verbosity of the log is higher than the threshold
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//
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// for example:
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//
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// LOG_DBG("this is a debug message: %d\n", expensive_function());
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//
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// this will avoid calling expensive_function() if LOG_DEFAULT_DEBUG > gpt_log_verbosity_thold
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//
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#define LOG_TMPL(level, verbosity, ...) \
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do { \
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if ((verbosity) <= gpt_log_verbosity_thold) { \
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gpt_log_add(gpt_log_main(), (level), __VA_ARGS__); \
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} \
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} while (0)
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#define LOG(...) LOG_TMPL(GGML_LOG_LEVEL_NONE, 0, __VA_ARGS__)
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#define LOGV(verbosity, ...) LOG_TMPL(GGML_LOG_LEVEL_NONE, verbosity, __VA_ARGS__)
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#define LOG_INF(...) LOG_TMPL(GGML_LOG_LEVEL_INFO, 0, __VA_ARGS__)
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#define LOG_WRN(...) LOG_TMPL(GGML_LOG_LEVEL_WARN, 0, __VA_ARGS__)
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#define LOG_ERR(...) LOG_TMPL(GGML_LOG_LEVEL_ERROR, 0, __VA_ARGS__)
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#define LOG_DBG(...) LOG_TMPL(GGML_LOG_LEVEL_DEBUG, LOG_DEFAULT_DEBUG, __VA_ARGS__)
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#define LOG_INFV(verbosity, ...) LOG_TMPL(GGML_LOG_LEVEL_INFO, verbosity, __VA_ARGS__)
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#define LOG_WRNV(verbosity, ...) LOG_TMPL(GGML_LOG_LEVEL_WARN, verbosity, __VA_ARGS__)
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#define LOG_ERRV(verbosity, ...) LOG_TMPL(GGML_LOG_LEVEL_ERROR, verbosity, __VA_ARGS__)
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#define LOG_DBGV(verbosity, ...) LOG_TMPL(GGML_LOG_LEVEL_DEBUG, verbosity, __VA_ARGS__)
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