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bark.h
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bark.h
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/*
╞══════════════════════════════════════════════════════════════════════════════╡
│ Copyright 2024 Pierre-Antoine Bannier │
│ │
│ Permission to use, copy, modify, and/or distribute this software for │
│ any purpose with or without fee is hereby granted, provided that the │
│ above copyright notice and this permission notice appear in all copies. │
│ │
│ THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL │
│ WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED │
│ WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE │
│ AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL │
│ DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR │
│ PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER │
│ TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR │
│ PERFORMANCE OF THIS SOFTWARE. │
╚─────────────────────────────────────────────────────────────────────────────*/
#pragma once
#include "encodec.h"
#include "ggml-backend.h"
#include "ggml.h"
#ifdef _WIN32
#ifdef EXPORTING_BARK
#define BARK_API __declspec(dllexport)
#else
#define BARK_API __declspec(dllimport)
#endif
#else
#define BARK_API
#endif
#ifdef __cplusplus
extern "C" {
#endif
enum bark_verbosity_level {
LOW = 0,
MEDIUM = 1,
HIGH = 2,
};
enum bark_encoding_step {
SEMANTIC = 0,
COARSE = 1,
FINE = 2,
};
struct bark_context;
struct bark_model;
// Holds the vocabulary for the semantic encoder
struct bark_vocab;
// Define the GPT architecture for the 3 encoders
struct gpt_model;
typedef void (*bark_progress_callback)(struct bark_context * bctx, enum bark_encoding_step step, int progress, void * user_data);
struct bark_statistics {
// Time to load model weights
int64_t t_load_us;
// Time to generate audio
int64_t t_eval_us;
// Time to generate semantic tokens
int64_t t_semantic_us;
// Time to generate coarse tokens
int64_t t_coarse_us;
// Time to generate fine tokens
int64_t t_fine_us;
// Number of semantic tokens sampled
int32_t n_sample_semantic;
// Number of coarse tokens sampled
int32_t n_sample_coarse;
// Number of fine tokens sampled
int32_t n_sample_fine;
};
struct bark_context_params {
// Verbosity level
enum bark_verbosity_level verbosity;
// Temperature for sampling (text and coarse encoders)
float temp;
// Temperature for sampling (fine encoder)
float fine_temp;
// Number of layers to run on GPU
int32_t n_gpu_layers;
// Minimum probability for EOS token (text encoder)
float min_eos_p;
// Sliding window size for coarse encoder
int32_t sliding_window_size;
// Max history for coarse encoder
int32_t max_coarse_history;
// Sample rate
int32_t sample_rate;
// Target bandwidth
int32_t target_bandwidth;
// CLS token ID
int32_t cls_token_id;
// SEP token ID
int32_t sep_token_id;
// Maximum number of semantic tokens to generate
int32_t n_steps_text_encoder;
// Text PAD token ID
int32_t text_pad_token;
// Text encoding offset
int32_t text_encoding_offset;
// Semantic frequency rate
float semantic_rate_hz;
// Semantic PAD token ID
int32_t semantic_pad_token;
// Vocabulary size in semantic encoder
int32_t semantic_vocab_size;
// Semantic infernce token ID
int32_t semantic_infer_token;
// Coarse frequency rate
float coarse_rate_hz;
// Coarse infer token ID
int32_t coarse_infer_token;
// Coarse semantic pad token ID
int32_t coarse_semantic_pad_token;
// Number of codebooks in coarse encoder
int32_t n_coarse_codebooks;
// Number of codebooks in fine encoder
int32_t n_fine_codebooks;
// Dimension of the codes
int32_t codebook_size;
// called on each progress update
bark_progress_callback progress_callback;
void * progress_callback_user_data;
};
/**
* @brief Returns the default parameters for a bark context.
*
* @return bark_context_params The default parameters for a bark context.
*/
BARK_API struct bark_context_params bark_context_default_params(void);
/**
* Loads a Bark model from the specified file path with the given parameters.
*
* @param model_path The directory path of the bark model to load.
* @param params The parameters to use for the Bark model.
* @param seed The seed to use for random number generation.
* @return A pointer to the loaded bark model context.
*/
BARK_API struct bark_context *bark_load_model(
const char *model_path,
struct bark_context_params params,
uint32_t seed);
/**
* Generates an audio file from the given text using the specified Bark context.
*
* @param bctx The Bark context to use for generating the audio.
* @param text The text to generate audio from.
* @param n_threads The number of threads to use for generating the audio.
* @return An integer indicating the success of the audio generation process.
*/
BARK_API bool bark_generate_audio(
struct bark_context *bctx,
const char *text,
int n_threads);
/**
* Retrieves the audio data generated by the Bark context.
*
* @param bctx The Bark context to use for generating the audio.
* @return A pointer to the audio data generated by the Bark context.
*/
BARK_API float *bark_get_audio_data(
struct bark_context *bctx);
/**
* Retrieves the audio data generated by the Bark context.
*
* @param bctx The Bark context to use for generating the audio.
* @return The size of the audio data generated by the Bark context.
*/
BARK_API int bark_get_audio_data_size(
struct bark_context *bctx);
/**
* Retrieves the load time of the last audio generation round.
*
* @param bctx The Bark context to use for generating the audio.
* @return A struct containing the statistics of the last audio generation round.
*/
BARK_API int64_t bark_get_load_time(
struct bark_context *bctx);
/**
* Retrieves the evaluation time of the last audio generation round.
*
* @param bctx The Bark context to use for generating the audio.
* @return A struct containing the statistics of the last audio generation round.
*/
BARK_API int64_t bark_get_eval_time(
struct bark_context *bctx);
/**
* Reset the statistics of the last audio generation round.
*
* @param bctx The Bark context to use for generating the audio.
* @return A struct containing the statistics of the last audio generation round.
*/
BARK_API void bark_reset_statistics(
struct bark_context *bctx);
/**
* Quantizes a bark model and saves the result to a file.
*
* @param fname_inp The name of the input file containing the BARK model.
* @param fname_out The name of the output file to save the quantized model to.
* @param ftype The type of the model's floating-point values.
* @return True if the model was successfully quantized and saved, false otherwise.
*/
BARK_API bool bark_model_quantize(
const char *fname_inp,
const char *fname_out,
enum ggml_ftype ftype);
/**
* @brief Frees the memory allocated for a bark context.
*
* @param bctx The bark context to free.
*/
BARK_API void bark_free(
struct bark_context *bctx);
#ifdef __cplusplus
}
#endif