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https://github.com/ggerganov/whisper.cpp.git
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main : fix sampling time + add max_context parameter
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@ -42,6 +42,7 @@ struct whisper_params {
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int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
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int32_t offset_t_ms = 0;
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int32_t offset_n = 0;
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int32_t max_context = -1;
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bool verbose = false;
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bool translate = false;
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@ -77,6 +78,8 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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params.offset_t_ms = std::stoi(argv[++i]);
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} else if (arg == "-on" || arg == "--offset-n") {
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params.offset_n = std::stoi(argv[++i]);
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} else if (arg == "-mc" || arg == "--max-context") {
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params.max_context = std::stoi(argv[++i]);
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} else if (arg == "-v" || arg == "--verbose") {
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params.verbose = true;
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} else if (arg == "--translate") {
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@ -127,6 +130,7 @@ void whisper_print_usage(int argc, char ** argv, const whisper_params & params)
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fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
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fprintf(stderr, " -ot N, --offset-t N time offset in milliseconds (default: %d)\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N segment index offset (default: %d)\n", params.offset_n);
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fprintf(stderr, " -mc N, --max-context N maximum number of text context tokens to store (default: max)\n");
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fprintf(stderr, " -v, --verbose verbose output\n");
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fprintf(stderr, " --translate translate from source language to english\n");
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fprintf(stderr, " -otxt, --output-txt output result in a text file\n");
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@ -380,6 +384,8 @@ int main(int argc, char ** argv) {
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wparams.translate = params.translate;
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wparams.language = params.language.c_str();
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wparams.n_threads = params.n_threads;
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wparams.n_processors = 1;
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wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
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wparams.offset_ms = params.offset_t_ms;
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// this callback is called on each new segment
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22
whisper.cpp
22
whisper.cpp
@ -211,14 +211,6 @@ struct whisper_vocab {
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}
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};
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struct whisper_token_data {
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whisper_token id; // token id
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whisper_token tid; // forced timestamp token id
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float p; // probability of the token
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float pt; // probability of the timestamp token
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};
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struct whisper_segment {
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int64_t t0;
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int64_t t1;
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@ -2219,7 +2211,7 @@ int whisper_decode(struct whisper_context * ctx, const whisper_token * tokens, i
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return 0;
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}
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whisper_token whisper_sample_best(struct whisper_context * ctx) {
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whisper_token_data whisper_sample_best(struct whisper_context * ctx) {
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const int64_t t_start_sample_us = ggml_time_us();
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// TODO: simplify
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@ -2227,7 +2219,7 @@ whisper_token whisper_sample_best(struct whisper_context * ctx) {
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ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
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return res.id;
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return res;
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}
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whisper_token whisper_sample_timestamp(struct whisper_context * ctx) {
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@ -2330,8 +2322,9 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str
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/*.strategy =*/ WHISPER_SAMPLING_GREEDY,
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/*.n_threads =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
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/*.offset_ms =*/ 0,
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/*.n_processors =*/ 1,
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/*.n_max_text_ctx =*/ 16384,
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/*.offset_ms =*/ 0,
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/*.translate =*/ false,
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/*.no_context =*/ false,
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@ -2362,8 +2355,9 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str
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/*.strategy =*/ WHISPER_SAMPLING_BEAM_SEARCH,
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/*.n_threads =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
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/*.offset_ms =*/ 0,
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/*.n_processors =*/ 1,
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/*.n_max_text_ctx =*/ 16384,
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/*.offset_ms =*/ 0,
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/*.translate =*/ false,
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/*.no_context =*/ false,
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@ -2470,7 +2464,7 @@ int whisper_full(
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// if we have already generated some text, use it as a prompt to condition the next generation
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if (prompt_past.size() > 0) {
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int n_take = std::min(whisper_n_text_ctx(ctx)/2, int(prompt_past.size()));
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int n_take = std::min(std::min(params.n_max_text_ctx, whisper_n_text_ctx(ctx)/2), int(prompt_past.size()));
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prompt = { whisper_token_prev(ctx) };
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prompt.insert(prompt.begin() + 1, prompt_past.end() - n_take, prompt_past.end());
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@ -2512,7 +2506,7 @@ int whisper_full(
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// feel free to experiment!
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//
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{
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auto token = whisper_sample_best(ctx->vocab, ctx->probs.data() + (ctx->probs.size() - ctx->vocab.n_vocab));
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auto token = whisper_sample_best(ctx);
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if (i == 0) {
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token.tid = whisper_token_beg(ctx);
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13
whisper.h
13
whisper.h
@ -68,6 +68,14 @@ extern "C" {
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typedef int whisper_token;
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struct whisper_token_data {
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whisper_token id; // token id
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whisper_token tid; // forced timestamp token id
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float p; // probability of the token
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float pt; // probability of the timestamp token
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};
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// Allocates all memory needed for the model and loads the model from the given file.
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// Returns NULL on failure.
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WHISPER_API struct whisper_context * whisper_init(const char * path_model);
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@ -122,7 +130,7 @@ extern "C" {
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// You can also implement your own sampling method using the whisper_get_probs() function.
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// whisper_sample_best() returns the token with the highest probability
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// whisper_sample_timestamp() returns the most probable timestamp token
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WHISPER_API whisper_token whisper_sample_best(struct whisper_context * ctx);
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WHISPER_API whisper_token_data whisper_sample_best(struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_sample_timestamp(struct whisper_context * ctx);
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// Return the id of the specified language, returns -1 if not found
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@ -171,8 +179,9 @@ extern "C" {
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enum whisper_sampling_strategy strategy;
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int n_threads;
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int offset_ms;
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int n_processors;
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int n_max_text_ctx;
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int offset_ms;
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bool translate;
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bool no_context;
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