DarthAffe/stable-diffusion.cpp
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chore: add sd_ prefix to a few functions (#967)

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Wagner Bruna 2025-12-01 11:43:52 -03:00 committed by GitHub
parent 0743a1b3b5
commit e4c50f1de5
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6 changed files with 11 additions and 11 deletions
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2
examples/cli/main.cpp
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@ -1306,7 +1306,7 @@ void parse_args(int argc, const char** argv, SDParams& params) {
}
if (params.n_threads <= 0) {
params.n_threads = get_num_physical_cores();
params.n_threads = sd_get_num_physical_cores();
}
if ((params.mode == IMG_GEN || params.mode == VID_GEN) && params.prompt.length() == 0) {

6
model.cpp
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@ -265,7 +265,7 @@ void convert_tensor(void* src,
} else {
auto qtype = ggml_get_type_traits(src_type);
if (qtype->to_float == nullptr) {
throw std::runtime_error(format("type %s unsupported for integer quantization: no dequantization available",
throw std::runtime_error(sd_format("type %s unsupported for integer quantization: no dequantization available",
ggml_type_name(src_type)));
}
qtype->to_float(src, (float*)dst, n);
@ -275,7 +275,7 @@ void convert_tensor(void* src,
// src_type is quantized => dst_type == GGML_TYPE_F16 or dst_type is quantized
auto qtype = ggml_get_type_traits(src_type);
if (qtype->to_float == nullptr) {
throw std::runtime_error(format("type %s unsupported for integer quantization: no dequantization available",
throw std::runtime_error(sd_format("type %s unsupported for integer quantization: no dequantization available",
ggml_type_name(src_type)));
}
std::vector<char> buf;
@ -1355,7 +1355,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
std::atomic<int64_t> copy_to_backend_time_ms(0);
std::atomic<int64_t> convert_time_ms(0);
int num_threads_to_use = n_threads_p > 0 ? n_threads_p : get_num_physical_cores();
int num_threads_to_use = n_threads_p > 0 ? n_threads_p : sd_get_num_physical_cores();
LOG_DEBUG("using %d threads for model loading", num_threads_to_use);
int64_t start_time = ggml_time_ms();

2
stable-diffusion.cpp
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@ -2474,7 +2474,7 @@ void sd_ctx_params_init(sd_ctx_params_t* sd_ctx_params) {
*sd_ctx_params = {};
sd_ctx_params->vae_decode_only = true;
sd_ctx_params->free_params_immediately = true;
sd_ctx_params->n_threads = get_num_physical_cores();
sd_ctx_params->n_threads = sd_get_num_physical_cores();
sd_ctx_params->wtype = SD_TYPE_COUNT;
sd_ctx_params->rng_type = CUDA_RNG;
sd_ctx_params->sampler_rng_type = RNG_TYPE_COUNT;

2
stable-diffusion.h
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@ -288,7 +288,7 @@ typedef void (*sd_preview_cb_t)(int step, int frame_count, sd_image_t* frames, b
SD_API void sd_set_log_callback(sd_log_cb_t sd_log_cb, void* data);
SD_API void sd_set_progress_callback(sd_progress_cb_t cb, void* data);
SD_API void sd_set_preview_callback(sd_preview_cb_t cb, enum preview_t mode, int interval, bool denoised, bool noisy, void* data);
SD_API int32_t get_num_physical_cores();
SD_API int32_t sd_get_num_physical_cores();
SD_API const char* sd_get_system_info();
SD_API const char* sd_type_name(enum sd_type_t type);

4
util.cpp
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@ -57,7 +57,7 @@ void replace_all_chars(std::string& str, char target, char replacement) {
}
}
std::string format(const char* fmt, ...) {
std::string sd_format(const char* fmt, ...) {
va_list ap;
va_list ap2;
va_start(ap, fmt);
@ -148,7 +148,7 @@ std::string get_full_path(const std::string& dir, const std::string& filename) {
// get_num_physical_cores is copy from
// https://github.com/ggerganov/llama.cpp/blob/master/examples/common.cpp
// LICENSE: https://github.com/ggerganov/llama.cpp/blob/master/LICENSE
int32_t get_num_physical_cores() {
int32_t sd_get_num_physical_cores() {
#ifdef __linux__
// enumerate the set of thread siblings, num entries is num cores
std::unordered_set<std::string> siblings;

2
util.h
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@ -14,7 +14,7 @@ bool ends_with(const std::string& str, const std::string& ending);
bool starts_with(const std::string& str, const std::string& start);
bool contains(const std::string& str, const std::string& substr);
std::string format(const char* fmt, ...);
std::string sd_format(const char* fmt, ...);
void replace_all_chars(std::string& str, char target, char replacement);