upstream-archive/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
6 changed files with 11 additions and 11 deletions
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10
model.cpp
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@@ -265,8 +265,8 @@ 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",
ggml_type_name(src_type)));
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);
}
@@ -275,8 +275,8 @@ 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",
ggml_type_name(src_type)));
throw std::runtime_error(sd_format("type %s unsupported for integer quantization: no dequantization available",
ggml_type_name(src_type)));
}
std::vector<char> buf;
buf.resize(sizeof(float) * n);
@@ -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();