mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2025-08-19 08:02:15 +02:00
whisper : reorganize source code + improve CMake (#2256)
* scripts : update sync [no ci] * files : reorganize [no ci] * sync : llama.cpp * cmake : link math library * cmake : build normal ggml library * files : move headers to include * objc : fix path to ggml-metal.h * ci : fix WHISPER_CUDA -> GGML_CUDA * scripts : sync LICENSE [no ci]
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@@ -72,7 +72,7 @@ struct gpt2_model {
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};
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// load the model's weights from a file
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bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab & vocab) {
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static bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab & vocab) {
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printf("%s: loading model from '%s'\n", __func__, fname.c_str());
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auto fin = std::ifstream(fname, std::ios::binary);
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@@ -380,7 +380,7 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
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// - embd_w: the predicted logits for the next token
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//
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// TODO: sync latest version from ggml repo
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bool gpt2_eval(
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static bool gpt2_eval(
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const gpt2_model & model,
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const int n_threads,
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const int n_past,
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@@ -44,7 +44,7 @@ struct whisper_params {
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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static bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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for (int i = 1; i < argc; i++) {
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std::string arg = argv[i];
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@@ -109,7 +109,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
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fprintf(stderr, "\n");
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}
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std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
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static std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
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const auto t_start = std::chrono::high_resolution_clock::now();
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prob = 0.0f;
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