#ifndef WHISPER_H #define WHISPER_H #include "ggml.h" #include #include #include #ifdef __GNUC__ # define WHISPER_DEPRECATED(func, hint) func __attribute__((deprecated(hint))) #elif defined(_MSC_VER) # define WHISPER_DEPRECATED(func, hint) __declspec(deprecated(hint)) func #else # define WHISPER_DEPRECATED(func, hint) func #endif #ifdef WHISPER_SHARED # ifdef _WIN32 # ifdef WHISPER_BUILD # define WHISPER_API __declspec(dllexport) # else # define WHISPER_API __declspec(dllimport) # endif # else # define WHISPER_API __attribute__ ((visibility ("default"))) # endif #else # define WHISPER_API #endif #define WHISPER_SAMPLE_RATE 16000 #define WHISPER_N_FFT 400 #define WHISPER_HOP_LENGTH 160 #define WHISPER_CHUNK_SIZE 30 #ifdef __cplusplus extern "C" { #endif // // C interface // // The following interface is thread-safe as long as the sample whisper_context is not used by multiple threads // concurrently. // // Basic usage: // // #include "whisper.h" // // ... // // whisper_context_params cparams = whisper_context_default_params(); // // struct whisper_context * ctx = whisper_init_from_file_with_params("/path/to/ggml-base.en.bin", cparams); // // if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) { // fprintf(stderr, "failed to process audio\n"); // return 7; // } // // const int n_segments = whisper_full_n_segments(ctx); // for (int i = 0; i < n_segments; ++i) { // const char * text = whisper_full_get_segment_text(ctx, i); // printf("%s", text); // } // // whisper_free(ctx); // // ... // // This is a demonstration of the most straightforward usage of the library. // "pcmf32" contains the RAW audio data in 32-bit floating point format. // // The interface also allows for more fine-grained control over the computation, but it requires a deeper // understanding of how the model works. // struct whisper_context; struct whisper_state; struct whisper_full_params; typedef int32_t whisper_pos; typedef int32_t whisper_token; typedef int32_t whisper_seq_id; enum whisper_alignment_heads_preset { WHISPER_AHEADS_NONE, WHISPER_AHEADS_N_TOP_MOST, // All heads from the N-top-most text-layers WHISPER_AHEADS_CUSTOM, WHISPER_AHEADS_TINY_EN, WHISPER_AHEADS_TINY, WHISPER_AHEADS_BASE_EN, WHISPER_AHEADS_BASE, WHISPER_AHEADS_SMALL_EN, WHISPER_AHEADS_SMALL, WHISPER_AHEADS_MEDIUM_EN, WHISPER_AHEADS_MEDIUM, WHISPER_AHEADS_LARGE_V1, WHISPER_AHEADS_LARGE_V2, WHISPER_AHEADS_LARGE_V3, WHISPER_AHEADS_LARGE_V3_TURBO, }; typedef struct whisper_ahead { int n_text_layer; int n_head; } whisper_ahead; typedef struct whisper_aheads { size_t n_heads; const whisper_ahead * heads; } whisper_aheads; struct whisper_context_params { bool use_gpu; bool flash_attn; int gpu_device; // CUDA device // [EXPERIMENTAL] Token-level timestamps with DTW bool dtw_token_timestamps; enum whisper_alignment_heads_preset dtw_aheads_preset; int dtw_n_top; struct whisper_aheads dtw_aheads; size_t dtw_mem_size; // TODO: remove }; typedef struct whisper_token_data { whisper_token id; // token id whisper_token tid; // forced timestamp token id float p; // probability of the token float plog; // log probability of the token float pt; // probability of the timestamp token float ptsum; // sum of probabilities of all timestamp tokens // token-level timestamp data // do not use if you haven't computed token-level timestamps int64_t t0; // start time of the token int64_t t1; // end time of the token // [EXPERIMENTAL] Token-level timestamps with DTW // do not use if you haven't computed token-level timestamps with dtw // Roughly corresponds to the moment in audio in which the token was output int64_t t_dtw; float vlen; // voice length of the token } whisper_token_data; typedef struct whisper_model_loader { void * context; size_t (*read)(void * ctx, void * output, size_t read_size); bool (*eof)(void * ctx); void (*close)(void * ctx); } whisper_model_loader; // grammar element type enum whisper_gretype { // end of rule definition WHISPER_GRETYPE_END = 0, // start of alternate definition for rule WHISPER_GRETYPE_ALT = 1, // non-terminal element: reference to rule WHISPER_GRETYPE_RULE_REF = 2, // terminal element: character (code point) WHISPER_GRETYPE_CHAR = 3, // inverse char(s) ([^a], [^a-b] [^abc]) WHISPER_GRETYPE_CHAR_NOT = 4, // modifies a preceding WHISPER_GRETYPE_CHAR or LLAMA_GRETYPE_CHAR_ALT to // be an inclusive range ([a-z]) WHISPER_GRETYPE_CHAR_RNG_UPPER = 5, // modifies a preceding WHISPER_GRETYPE_CHAR or // WHISPER_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA]) WHISPER_GRETYPE_CHAR_ALT = 6, }; typedef struct whisper_grammar_element { enum whisper_gretype type; uint32_t value; // Unicode code point or rule ID } whisper_grammar_element; // Various functions for loading a ggml whisper model. // Allocate (almost) all memory needed for the model. // Return NULL on failure WHISPER_API struct whisper_context * whisper_init_from_file_with_params (const char * path_model, struct whisper_context_params params); WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params(void * buffer, size_t buffer_size, struct whisper_context_params params); WHISPER_API struct whisper_context * whisper_init_with_params (struct whisper_model_loader * loader, struct whisper_context_params params); // These are the same as the above, but the internal state of the context is not allocated automatically // It is the responsibility of the caller to allocate the state using whisper_init_state() (#523) WHISPER_API struct whisper_context * whisper_init_from_file_with_params_no_state (const char * path_model, struct whisper_context_params params); WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params_no_state(void * buffer, size_t buffer_size, struct whisper_context_params params); WHISPER_API struct whisper_context * whisper_init_with_params_no_state (struct whisper_model_loader * loader, struct whisper_context_params params); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init_from_file(const char * path_model), "use whisper_init_from_file_with_params instead" ); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init_from_buffer(void * buffer, size_t buffer_size), "use whisper_init_from_buffer_with_params instead" ); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init(struct whisper_model_loader * loader), "use whisper_init_with_params instead" ); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init_from_file_no_state(const char * path_model), "use whisper_init_from_file_with_params_no_state instead" ); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init_from_buffer_no_state(void * buffer, size_t buffer_size), "use whisper_init_from_buffer_with_params_no_state instead" ); WHISPER_DEPRECATED( WHISPER_API struct whisper_context * whisper_init_no_state(struct whisper_model_loader * loader), "use whisper_init_with_params_no_state instead" ); WHISPER_API struct whisper_state * whisper_init_state(struct whisper_context * ctx); // Given a context, enable use of OpenVINO for encode inference. // model_path: Optional path to OpenVINO encoder IR model. If set to nullptr, // the path will be generated from the ggml model path that was passed // in to whisper_init_from_file. For example, if 'path_model' was // "/path/to/ggml-base.en.bin", then OpenVINO IR model path will be // assumed to be "/path/to/ggml-base.en-encoder-openvino.xml". // device: OpenVINO device to run inference on ("CPU", "GPU", etc.) // cache_dir: Optional cache directory that can speed up init time, especially for // GPU, by caching compiled 'blobs' there. // Set to nullptr if not used. // Returns 0 on success. If OpenVINO is not enabled in build, this simply returns 1. WHISPER_API int whisper_ctx_init_openvino_encoder_with_state( struct whisper_context * ctx, struct whisper_state * state, const char * model_path, const char * device, const char * cache_dir); WHISPER_API int whisper_ctx_init_openvino_encoder( struct whisper_context * ctx, const char * model_path, const char * device, const char * cache_dir); // Frees all allocated memory WHISPER_API void whisper_free (struct whisper_context * ctx); WHISPER_API void whisper_free_state(struct whisper_state * state); WHISPER_API void whisper_free_params(struct whisper_full_params * params); WHISPER_API void whisper_free_context_params(struct whisper_context_params * params); // Convert RAW PCM audio to log mel spectrogram. // The resulting spectrogram is stored inside the default state of the provided whisper context. // Returns 0 on success WHISPER_API int whisper_pcm_to_mel( struct whisper_context * ctx, const float * samples, int n_samples, int n_threads); WHISPER_API int whisper_pcm_to_mel_with_state( struct whisper_context * ctx, struct whisper_state * state, const float * samples, int n_samples, int n_threads); // This can be used to set a custom log mel spectrogram inside the default state of the provided whisper context. // Use this instead of whisper_pcm_to_mel() if you want to provide your own log mel spectrogram. // n_mel must be 80 // Returns 0 on success WHISPER_API int whisper_set_mel( struct whisper_context * ctx, const float * data, int n_len, int n_mel); WHISPER_API int whisper_set_mel_with_state( struct whisper_context * ctx, struct whisper_state * state, const float * data, int n_len, int n_mel); // Run the Whisper encoder on the log mel spectrogram stored inside the default state in the provided whisper context. // Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first. // offset can be used to specify the offset of the first frame in the spectrogram. // Returns 0 on success WHISPER_API int whisper_encode( struct whisper_context * ctx, int offset, int n_threads); WHISPER_API int whisper_encode_with_state( struct whisper_context * ctx, struct whisper_state * state, int offset, int n_threads); // Run the Whisper decoder to obtain the logits and probabilities for the next token. // Make sure to call whisper_encode() first. // tokens + n_tokens is the provided context for the decoder. // n_past is the number of tokens to use from previous decoder calls. // Returns 0 on success // TODO: add support for multiple decoders WHISPER_API int whisper_decode( struct whisper_context * ctx, const whisper_token * tokens, int n_tokens, int n_past, int n_threads); WHISPER_API int whisper_decode_with_state( struct whisper_context * ctx, struct whisper_state * state, const whisper_token * tokens, int n_tokens, int n_past, int n_threads); // Convert the provided text into tokens. // The tokens pointer must be large enough to hold the resulting tokens. // Returns the number of tokens on success, no more than n_max_tokens // Returns a negative number on failure - the number of tokens that would have been returned // TODO: not sure if correct WHISPER_API int whisper_tokenize( struct whisper_context * ctx, const char * text, whisper_token * tokens, int n_max_tokens); // Return the number of tokens in the provided text // Equivalent to: -whisper_tokenize(ctx, text, NULL, 0) int whisper_token_count(struct whisper_context * ctx, const char * text); // Largest language id (i.e. number of available languages - 1) WHISPER_API int whisper_lang_max_id(void); // Return the id of the specified language, returns -1 if not found // Examples: // "de" -> 2 // "german" -> 2 WHISPER_API int whisper_lang_id(const char * lang); // Return the short string of the specified language id (e.g. 2 -> "de"), returns nullptr if not found WHISPER_API const char * whisper_lang_str(int id); // Return the short string of the specified language name (e.g. 2 -> "german"), returns nullptr if not found WHISPER_API const char * whisper_lang_str_full(int id); // Use mel data at offset_ms to try and auto-detect the spoken language // Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first // Returns the top language id or negative on failure // If not null, fills the lang_probs array with the probabilities of all languages // The array must be whisper_lang_max_id() + 1 in size // ref: https://github.com/openai/whisper/blob/main/whisper/decoding.py#L18-L69 WHISPER_API int whisper_lang_auto_detect( struct whisper_context * ctx, int offset_ms, int n_threads, float * lang_probs); WHISPER_API int whisper_lang_auto_detect_with_state( struct whisper_context * ctx, struct whisper_state * state, int offset_ms, int n_threads, float * lang_probs); WHISPER_API int whisper_n_len (struct whisper_context * ctx); // mel length WHISPER_API int whisper_n_len_from_state(struct whisper_state * state); // mel length WHISPER_API int whisper_n_vocab (struct whisper_context * ctx); WHISPER_API int whisper_n_text_ctx (struct whisper_context * ctx); WHISPER_API int whisper_n_audio_ctx (struct whisper_context * ctx); WHISPER_API int whisper_is_multilingual (struct whisper_context * ctx); WHISPER_API int whisper_model_n_vocab (struct whisper_context * ctx); WHISPER_API int whisper_model_n_audio_ctx (struct whisper_context * ctx); WHISPER_API int whisper_model_n_audio_state(struct whisper_context * ctx); WHISPER_API int whisper_model_n_audio_head (struct whisper_context * ctx); WHISPER_API int whisper_model_n_audio_layer(struct whisper_context * ctx); WHISPER_API int whisper_model_n_text_ctx (struct whisper_context * ctx); WHISPER_API int whisper_model_n_text_state (struct whisper_context * ctx); WHISPER_API int whisper_model_n_text_head (struct whisper_context * ctx); WHISPER_API int whisper_model_n_text_layer (struct whisper_context * ctx); WHISPER_API int whisper_model_n_mels (struct whisper_context * ctx); WHISPER_API int whisper_model_ftype (struct whisper_context * ctx); WHISPER_API int whisper_model_type (struct whisper_context * ctx); // Token logits obtained from the last call to whisper_decode() // The logits for the last token are stored in the last row // Rows: n_tokens // Cols: n_vocab WHISPER_API float * whisper_get_logits (struct whisper_context * ctx); WHISPER_API float * whisper_get_logits_from_state(struct whisper_state * state); // Token Id -> String. Uses the vocabulary in the provided context WHISPER_API const char * whisper_token_to_str(struct whisper_context * ctx, whisper_token token); WHISPER_API const char * whisper_model_type_readable(struct whisper_context * ctx); // Special tokens WHISPER_API whisper_token whisper_token_eot (struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_sot (struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_solm(struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_prev(struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_nosp(struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_not (struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_beg (struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id); // Task tokens WHISPER_API whisper_token whisper_token_translate (struct whisper_context * ctx); WHISPER_API whisper_token whisper_token_transcribe(struct whisper_context * ctx); // Performance information from the default state. struct whisper_timings { float sample_ms; float encode_ms; float decode_ms; float batchd_ms; float prompt_ms; }; WHISPER_API struct whisper_timings * whisper_get_timings(struct whisper_context * ctx); WHISPER_API void whisper_print_timings(struct whisper_context * ctx); WHISPER_API void whisper_reset_timings(struct whisper_context * ctx); // Print system information WHISPER_API const char * whisper_print_system_info(void); //////////////////////////////////////////////////////////////////////////// // Available sampling strategies enum whisper_sampling_strategy { WHISPER_SAMPLING_GREEDY, // similar to OpenAI's GreedyDecoder WHISPER_SAMPLING_BEAM_SEARCH, // similar to OpenAI's BeamSearchDecoder }; // Text segment callback // Called on every newly generated text segment // Use the whisper_full_...() functions to obtain the text segments typedef void (*whisper_new_segment_callback)(struct whisper_context * ctx, struct whisper_state * state, int n_new, void * user_data); // Progress callback typedef void (*whisper_progress_callback)(struct whisper_context * ctx, struct whisper_state * state, int progress, void * user_data); // Encoder begin callback // If not NULL, called before the encoder starts // If it returns false, the computation is aborted typedef bool (*whisper_encoder_begin_callback)(struct whisper_context * ctx, struct whisper_state * state, void * user_data); // Logits filter callback // Can be used to modify the logits before sampling // If not NULL, called after applying temperature to logits typedef void (*whisper_logits_filter_callback)( struct whisper_context * ctx, struct whisper_state * state, const whisper_token_data * tokens, int n_tokens, float * logits, void * user_data); // Parameters for the whisper_full() function // If you change the order or add new parameters, make sure to update the default values in whisper.cpp: // whisper_full_default_params() struct whisper_full_params { enum whisper_sampling_strategy strategy; int n_threads; int n_max_text_ctx; // max tokens to use from past text as prompt for the decoder int offset_ms; // start offset in ms int duration_ms; // audio duration to process in ms bool translate; bool no_context; // do not use past transcription (if any) as initial prompt for the decoder bool no_timestamps; // do not generate timestamps bool single_segment; // force single segment output (useful for streaming) bool print_special; // print special tokens (e.g. , , , etc.) bool print_progress; // print progress information bool print_realtime; // print results from within whisper.cpp (avoid it, use callback instead) bool print_timestamps; // print timestamps for each text segment when printing realtime // [EXPERIMENTAL] token-level timestamps bool token_timestamps; // enable token-level timestamps float thold_pt; // timestamp token probability threshold (~0.01) float thold_ptsum; // timestamp token sum probability threshold (~0.01) int max_len; // max segment length in characters bool split_on_word; // split on word rather than on token (when used with max_len) int max_tokens; // max tokens per segment (0 = no limit) // [EXPERIMENTAL] speed-up techniques // note: these can significantly reduce the quality of the output bool debug_mode; // enable debug_mode provides extra info (eg. Dump log_mel) int audio_ctx; // overwrite the audio context size (0 = use default) // [EXPERIMENTAL] [TDRZ] tinydiarize bool tdrz_enable; // enable tinydiarize speaker turn detection // A regular expression that matches tokens to suppress const char * suppress_regex; // tokens to provide to the whisper decoder as initial prompt // these are prepended to any existing text context from a previous call // use whisper_tokenize() to convert text to tokens // maximum of whisper_n_text_ctx()/2 tokens are used (typically 224) const char * initial_prompt; const whisper_token * prompt_tokens; int prompt_n_tokens; // for auto-detection, set to nullptr, "" or "auto" const char * language; bool detect_language; // common decoding parameters: bool suppress_blank; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L89 bool suppress_non_speech_tokens; // ref: https://github.com/openai/whisper/blob/7858aa9c08d98f75575035ecd6481f462d66ca27/whisper/tokenizer.py#L224-L253 float temperature; // initial decoding temperature, ref: https://ai.stackexchange.com/a/32478 float max_initial_ts; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L97 float length_penalty; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L267 // fallback parameters // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L274-L278 float temperature_inc; float entropy_thold; // similar to OpenAI's "compression_ratio_threshold" float logprob_thold; float no_speech_thold; // TODO: not implemented struct { int best_of; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L264 } greedy; struct { int beam_size; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L265 float patience; // TODO: not implemented, ref: https://arxiv.org/pdf/2204.05424.pdf } beam_search; // called for every newly generated text segment whisper_new_segment_callback new_segment_callback; void * new_segment_callback_user_data; // called on each progress update whisper_progress_callback progress_callback; void * progress_callback_user_data; // called each time before the encoder starts whisper_encoder_begin_callback encoder_begin_callback; void * encoder_begin_callback_user_data; // called each time before ggml computation starts ggml_abort_callback abort_callback; void * abort_callback_user_data; // called by each decoder to filter obtained logits whisper_logits_filter_callback logits_filter_callback; void * logits_filter_callback_user_data; const whisper_grammar_element ** grammar_rules; size_t n_grammar_rules; size_t i_start_rule; float grammar_penalty; }; // NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_context_params & whisper_free_params() WHISPER_API struct whisper_context_params * whisper_context_default_params_by_ref(void); WHISPER_API struct whisper_context_params whisper_context_default_params (void); WHISPER_API struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sampling_strategy strategy); WHISPER_API struct whisper_full_params whisper_full_default_params (enum whisper_sampling_strategy strategy); // Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text // Not thread safe for same context // Uses the specified decoding strategy to obtain the text. WHISPER_API int whisper_full( struct whisper_context * ctx, struct whisper_full_params params, const float * samples, int n_samples); WHISPER_API int whisper_full_with_state( struct whisper_context * ctx, struct whisper_state * state, struct whisper_full_params params, const float * samples, int n_samples); // Split the input audio in chunks and process each chunk separately using whisper_full_with_state() // Result is stored in the default state of the context // Not thread safe if executed in parallel on the same context. // It seems this approach can offer some speedup in some cases. // However, the transcription accuracy can be worse at the beginning and end of each chunk. WHISPER_API int whisper_full_parallel( struct whisper_context * ctx, struct whisper_full_params params, const float * samples, int n_samples, int n_processors); // Number of generated text segments // A segment can be a few words, a sentence, or even a paragraph. WHISPER_API int whisper_full_n_segments (struct whisper_context * ctx); WHISPER_API int whisper_full_n_segments_from_state(struct whisper_state * state); // Language id associated with the context's default state WHISPER_API int whisper_full_lang_id(struct whisper_context * ctx); // Language id associated with the provided state WHISPER_API int whisper_full_lang_id_from_state(struct whisper_state * state); // Get the start and end time of the specified segment WHISPER_API int64_t whisper_full_get_segment_t0 (struct whisper_context * ctx, int i_segment); WHISPER_API int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int i_segment); WHISPER_API int64_t whisper_full_get_segment_t1 (struct whisper_context * ctx, int i_segment); WHISPER_API int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment); // Get whether the next segment is predicted as a speaker turn WHISPER_API bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment); WHISPER_API bool whisper_full_get_segment_speaker_turn_next_from_state(struct whisper_state * state, int i_segment); // Get the text of the specified segment WHISPER_API const char * whisper_full_get_segment_text (struct whisper_context * ctx, int i_segment); WHISPER_API const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment); // Get number of tokens in the specified segment WHISPER_API int whisper_full_n_tokens (struct whisper_context * ctx, int i_segment); WHISPER_API int whisper_full_n_tokens_from_state(struct whisper_state * state, int i_segment); // Get the token text of the specified token in the specified segment WHISPER_API const char * whisper_full_get_token_text (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API const char * whisper_full_get_token_text_from_state(struct whisper_context * ctx, struct whisper_state * state, int i_segment, int i_token); WHISPER_API whisper_token whisper_full_get_token_id (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API whisper_token whisper_full_get_token_id_from_state(struct whisper_state * state, int i_segment, int i_token); // Get token data for the specified token in the specified segment // This contains probabilities, timestamps, etc. WHISPER_API whisper_token_data whisper_full_get_token_data (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API whisper_token_data whisper_full_get_token_data_from_state(struct whisper_state * state, int i_segment, int i_token); // Get the probability of the specified token in the specified segment WHISPER_API float whisper_full_get_token_p (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API float whisper_full_get_token_p_from_state(struct whisper_state * state, int i_segment, int i_token); //////////////////////////////////////////////////////////////////////////// // Temporary helpers needed for exposing ggml interface WHISPER_API int whisper_bench_memcpy (int n_threads); WHISPER_API const char * whisper_bench_memcpy_str (int n_threads); WHISPER_API int whisper_bench_ggml_mul_mat (int n_threads); WHISPER_API const char * whisper_bench_ggml_mul_mat_str(int n_threads); // Control logging output; default behavior is to print to stderr WHISPER_API void whisper_log_set(ggml_log_callback log_callback, void * user_data); #ifdef __cplusplus } #endif #endif