mirror of
https://github.com/PABannier/bark.cpp
synced 2026-03-03 05:30:35 +01:00
60 lines
1.7 KiB
C++
60 lines
1.7 KiB
C++
#include <cstdio>
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#include <string>
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#include <random>
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#include <vector>
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#include "bark.h"
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#include "common.h"
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static const std::vector<std::string> test_data = {
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"./data/semantic/test_pass_semantic_1.bin", // prompt: Ceci est un texte en français pour tester le bon fonctionnement de bark.
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"./data/semantic/test_pass_semantic_2.bin", // prompt: Sometimes the heart sees what is invisible to the eye
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"./data/semantic/test_pass_semantic_3.bin", // prompt: El Arte de Vencer se Aprende en las Derrotas
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};
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static const int n_threads = 4;
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static const float min_eos_p = 0.2;
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static const float temp = 0.0f; // deterministic sampling
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int main() {
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const std::string fname = "../ggml_weights/ggml_weights_text.bin";
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std::mt19937 rng(0);
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bark_model model;
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if (gpt_model_load(fname, model.text_model) > 0) {
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fprintf(stderr, "%s: invalid model file '%s'\n", __func__, fname.c_str());
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return 1;
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}
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bark_context * ctx = bark_new_context_with_model(&model);
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ctx->rng = rng;
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bark_sequence input;
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bark_sequence gt_tokens;
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for (int i = 0; i < (int) test_data.size(); i++) {
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input.clear();
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gt_tokens.clear();
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std::string path = test_data[i];
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load_test_data(path, input, gt_tokens);
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ctx->tokens = input;
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bark_forward_text_encoder(ctx, temp, min_eos_p, n_threads);
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printf("\n");
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printf("%s: %s\n", __func__, path.c_str());
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if (!run_test(gt_tokens, ctx->semantic_tokens)) {
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printf("%s: test %d failed.\n", __func__, i+1);
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} else {
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printf("%s: test %d passed.\n", __func__, i+1);
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}
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}
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bark_free(ctx);
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return 0;
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}
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