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whisper.cpp
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examples : small code cleanups (#322)

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- remove unnecessary initialization of string to ""
- use empty() instead of checking size()
- use emplace_back instead of push_back
- use nullptr instead of NULL
- remove unnecessary call to .data() on string
- use character overload of find_first_of() instead of passing a string
pull/331/head
Andy Maloney 1 year ago committed by GitHub
parent 7282e2109e
commit dc90efd504
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GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 26 additions and 26 deletions
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10
examples/command/command.cpp
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@ -41,8 +41,8 @@ struct whisper_params {
std::string language = "en";
std::string model = "models/ggml-base.en.bin";
std::string fname_out = "";
std::string commands = "";
std::string fname_out;
std::string commands;
};
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
@ -576,10 +576,10 @@ int main(int argc, char ** argv) {
std::vector<std::string> allowed_commands;
std::vector<std::vector<whisper_token>> allowed_tokens;
std::string k_prompt = "";
std::string k_prompt;
std::vector<whisper_token> k_tokens;
if (params.commands != "") {
if (!params.commands.empty()) {
fprintf(stderr, "\n");
fprintf(stderr, "%s: guided mode\n", __func__);
@ -808,7 +808,7 @@ int main(int argc, char ** argv) {
double psum = 0.0;
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
probs_id.push_back(std::make_pair(probs[allowed_tokens[i][0]], i));
probs_id.emplace_back(probs[allowed_tokens[i][0]], i);
for (int j = 1; j < (int) allowed_tokens[i].size(); ++j) {
probs_id.back().first += probs[allowed_tokens[i][j]];
}

16
examples/main/main.cpp
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@ -75,7 +75,7 @@ struct whisper_params {
bool no_timestamps = false;
std::string language = "en";
std::string prompt = "";
std::string prompt;
std::string model = "models/ggml-base.en.bin";
std::vector<std::string> fname_inp = {};
@ -118,7 +118,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
else if (arg == "-f" || arg == "--file") { params.fname_inp.push_back(argv[++i]); }
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
whisper_print_usage(argc, argv, params);
@ -206,7 +206,7 @@ void whisper_print_segment_callback(struct whisper_context * ctx, int n_new, voi
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
std::string speaker = "";
std::string speaker;
if (params.diarize && pcmf32s.size() == 2) {
const int64_t n_samples = pcmf32s[0].size();
@ -468,7 +468,7 @@ int main(int argc, char ** argv) {
// initial prompt
std::vector<whisper_token> prompt_tokens;
if (params.prompt.size() > 0) {
if (!params.prompt.empty()) {
prompt_tokens.resize(1024);
prompt_tokens.resize(whisper_tokenize(ctx, params.prompt.c_str(), prompt_tokens.data(), prompt_tokens.size()));
@ -505,14 +505,14 @@ int main(int argc, char ** argv) {
}
}
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), NULL) == false) {
if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
fprintf(stderr, "error: failed to open WAV file from stdin\n");
return 4;
}
fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
}
else if (drwav_init_file(&wav, fname_inp.c_str(), NULL) == false) {
else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
return 5;
}
@ -617,8 +617,8 @@ int main(int argc, char ** argv) {
wparams.speed_up = params.speed_up;
wparams.prompt_tokens = prompt_tokens.size() == 0 ? nullptr : prompt_tokens.data();
wparams.prompt_n_tokens = prompt_tokens.size() == 0 ? 0 : prompt_tokens.size();
wparams.prompt_tokens = prompt_tokens.empty() ? nullptr : prompt_tokens.data();
wparams.prompt_n_tokens = prompt_tokens.empty() ? 0 : prompt_tokens.size();
whisper_print_user_data user_data = { &params, &pcmf32s };

2
examples/stream/stream.cpp
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@ -51,7 +51,7 @@ struct whisper_params {
std::string language = "en";
std::string model = "models/ggml-base.en.bin";
std::string fname_out = "";
std::string fname_out;
};
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);

12
examples/talk/gpt-2.cpp
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@ -40,7 +40,7 @@ std::vector<gpt_vocab::id> gpt_tokenize(const gpt_vocab & vocab, const std::stri
// find the longest tokens that form the words:
std::vector<gpt_vocab::id> tokens;
for (const auto & word : words) {
if (word.size() == 0) continue;
if (word.empty()) continue;
int i = 0;
int n = word.size();
@ -86,7 +86,7 @@ gpt_vocab::id gpt_sample_top_k_top_p(
logits_id.reserve(n_logits);
for (int i = 0; i < n_logits; i++) {
logits_id.push_back(std::make_pair(logits[i], i));
logits_id.emplace_back(logits[i], i);
}
// find the top K tokens
@ -327,7 +327,7 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
{
struct ggml_init_params params;
params.mem_size = ctx_size;
params.mem_buffer = NULL;
params.mem_buffer = nullptr;
model.ctx = ggml_init(params);
if (!model.ctx) {
@ -448,7 +448,7 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
std::string name(length, 0);
fin.read(&name[0], length);
if (model.tensors.find(name.data()) == model.tensors.end()) {
if (model.tensors.find(name) == model.tensors.end()) {
fprintf(stderr, "%s: unknown tensor '%s' in model file\n", __func__, name.data());
return false;
}
@ -833,7 +833,7 @@ Me too.
struct gpt2_context * gpt2_init(const char * path_model) {
gpt2_context * ctx = new gpt2_context;
ctx->rng = std::mt19937(time(NULL));
ctx->rng = std::mt19937(time(nullptr));
// load the model
{
@ -886,7 +886,7 @@ std::string gpt2_gen_text(gpt2_context * ctx, const char * text, int max_tokens)
for (int i = embd.size(); i < (int) embd_inp.size() + n_predict; i++) {
// predict
if (embd.size() > 0) {
if (!embd.empty()) {
if (!gpt2_eval(ctx->model, ctx->n_threads, n_past, embd, embd_w, mem_per_token)) {
printf("gpt-2: failed to generate text\n");
return "";

12
examples/talk/talk.cpp
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@ -39,7 +39,7 @@ struct whisper_params {
std::string model_wsp = "models/ggml-base.en.bin";
std::string model_gpt = "models/ggml-gpt-2-117M.bin";
std::string speak = "./examples/talk/speak.sh";
std::string fname_out = "";
std::string fname_out;
};
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
@ -588,7 +588,7 @@ int main(int argc, char ** argv) {
audio.get(params.voice_ms, pcmf32_cur);
std::string text_heard = "";
std::string text_heard;
if (!force_speak) {
text_heard = ::trim(::transcribe(ctx_wsp, params, pcmf32_cur, prob0, t_ms));
@ -610,7 +610,7 @@ int main(int argc, char ** argv) {
text_heard = std::regex_replace(text_heard, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
// take first line
text_heard = text_heard.substr(0, text_heard.find_first_of("\n"));
text_heard = text_heard.substr(0, text_heard.find_first_of('\n'));
// remove leading and trailing whitespace
text_heard = std::regex_replace(text_heard, std::regex("^\\s+"), "");
@ -640,18 +640,18 @@ int main(int argc, char ** argv) {
text_to_speak = gpt2_gen_text(ctx_gpt, prompt.c_str(), params.max_tokens);
text_to_speak = std::regex_replace(text_to_speak, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
text_to_speak = text_to_speak.substr(0, text_to_speak.find_first_of("\n"));
text_to_speak = text_to_speak.substr(0, text_to_speak.find_first_of('\n'));
// remove first 2 lines of base prompt
if (n_iter > 4) {
{
const size_t pos = prompt_base.find_first_of("\n");
const size_t pos = prompt_base.find_first_of('\n');
if (pos != std::string::npos) {
prompt_base = prompt_base.substr(pos + 1);
}
}
{
const size_t pos = prompt_base.find_first_of("\n");
const size_t pos = prompt_base.find_first_of('\n');
if (pos != std::string::npos) {
prompt_base = prompt_base.substr(pos + 1);
}

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